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Canada’s geographic centre lies in the Territory Nunavut. From here the distance to the geographic North Pole is as far as to the US border. Nunavut takes up about 1/5 of the Canadian land mass but has by far the smallest population with currently about 38,000 residents. 85% of its population are Inuit whose culture dramatically changed within the last 70 years.
As a result, the territory is dealing with several generations of Inuit that are traumatized or at least severely affected by cultural and economic changes that started after World War 2 with the resettlement from the land into permanent communities. No matter if we are talking about the actual elders, mid-age adults or pre-teenagers, each of this generation experienced and still experiences various personal and cultural challenges of identity, financial and housing insecurity, food insecurity, substance abuse education, change of social values ranging from inter-generational and gender relationships to the introduction of a foreign political and legal system.
On the other side, a lot of the traditional societal values are still being practiced in Inuit families. Despite all the tragedies that several generations of Inuit have experienced by now, the society keeps generating the strength and cultural pride that allows many Inuit both, as individuals and as a collective under the umbrella of either Inuit Land Claims or not for profit organizations to advocate on behalf of Inuit culture, to fight for more acknowledgement of Inuit culture and to enhance pride in the historic and present day cultural achievements of Nunavut’s indigenous population.
The social issues, inter- and intra-cultural processes described in my thesis are not exclusive to the situation in Nunavut or to Inuit. Studies from other regions, in Canada or from around the world (LaPrairie 1987; Jensen 1986; Nunatsiaq News 6/30/2010) reveal similar challenges.
Though many structural similarities can be identified by comparing these studies with each other, e.g. marginalization of the indigenous local population, colonization, paternalism and resulting issues like personal and cultural identity loss, it is important to have a more in depth look into the single cases to determine which individual events and developments causes and maybe still cause such a devastating social situation as it is found among many indigenous peoples across the world. From my perspective effective improvements of the situation of a group, a respective community or region can only happen when particularities of socialization, communication and philosophy in the single cultural entities are being considered.
That is why my thesis will exclusively focus on developments in Nunavut and use various case studies of communities. The case studies shall help to identify local differences in historic and recent developments and thus provide starting points for explanations of different developments in different Nunavut communities.
The thesis is looking at both, historic and recent root causes for the many issues in Nunavut.
The data that my my thesis is based on are a combination of literature and about 60 formal and informal interviews that I conducted in three Nunavut communities (Iqaluit, Whale Cove, Kugluktuk) during my 18 months of field work between October 2008 and March 2010. Many more spontaneous unstructured conversations between me and community members added to the pool of first-hand information that I gathered.
Since my field work is limited to those three communities it has a very strong qualitative character. The quantitative side, which allows me to confidently apply my research analyses to entire Nunavut, comes from literature research as well as many informal conversations and a few formal interviews that I conducted with people who had some experience in other communities than Iqaluit, Kugluktuk and Whale Cove.
Furthermore, while I was living at the old residence of the Nunavut Arctic College in Iqaluit, I spend time with college students from across Nunavut. Through them, I obtained „case studies “from following communities: Iqaluit, Qikiqtarjuaq, Kimmirut, Pangnirtung, Clyde River, Pond Inlet, Igloolik, Repulse Bay, Cape Dorset, Chesterfield Inlet, Baker Lake, Rankin Inlet, Whale Cove, Arviat, Taloyoak, Kugluktuk.
My general categorization of “early contact period”, “contact”, “1st generation” and “2nd generation” is very similar to Damas’ terms of “early contact phase”, “contact – traditional”, “resettlement” that he uses to create a timeline that describes the major phases of impact for Inuit society (Damas 2002: 7, 17).
Chapters 2 is meant to provide an inventory of the key aspects of current social issues in Nunavut. In this context I am looking at the four major aspects that in my opinion shape Nunavut’s society:
1) violence and other forms of social dysfunctions
2) the associated services and delivering agencies that try to address those matters
3) Education
4) Inuit cultural particularities in communication and socialization
Those four areas are forming the foundation for the rest of my work. The following chapters will guide the reader through the historic transformation process of Inuit pre-colonial semi-nomadic society to a society that is living in permanent settlements, strongly influenced if not in many ways dominated by Euro-Canadian culture. Each of those chapters will be referring to the social and cultural changes that happened in the different time periods that I labeled with “Pre-settlement, First, Second, and Third Generation”. The relevance of violence and other social dysfunctions, their context and strategies how each generation dealt with those matters will be analyzed while I will be also referring to the impacts that non-Inuit, primarily Euro-Canadians and Euro-Americans had and have on Inuit society.
...
ADAM15, which belongs to the family of the disintegrin and metalloproteinases, is a multi-domain transmembrane protein. A strongly upregulated expression of ADAM15 is found in inflamed synovial membranes from articular joints affected by osteoarthritis and especially rheumatoid arthritis (RA). During the chronic inflammatory process in RA the synovial membrane gets hyperplastic, resulting eventually in the formation of a pannus tissue, which can invade into the adjacent cartilage and bone thereby destroying their integrity. Previously, the expression of ADAM15 in fibroblasts of the RA synovial membrane was found to confer a significant anti-apoptotic response upon triggering of the Fas receptor, which resulted in the activation of two survival kinases, focal adhesion kinase (FAK) and Src. The Fas receptor, also named CD95, belongs to the death receptor family of the tumor necrosis factor receptors and stimulation of Fas/CD95 by its ligand FasL results in the execution of apoptotic cell death in synovial membranes of RA patients. However, the occurrence of apoptotic cell death in vivo in RA synovial tissues is considerably low despite the presence of FasL at high concentrations in the chronically inflamed joint. Accordingly, a general apoptosis resistance is a characteristic of RA-synovial fibroblasts that contributes considerably to the formation the hyperplastic aggressive pannus tissue. The objective of this study was to investigate the mechanisms underlying the capability of ADAM15 to transform FasL-mediated death- inducing signals into pro-survival activation of Src and FAK in rheumatoid arthritis fibroblasts (RASFs).
In the present study, the down-regulation of ADAM15 by RNA interference resulted in a significant increase of caspase 3/7 activity upon stimulation of the Fas receptor in RASFs. Likewise, chondrocytes expressing a deletion mutant of ADAM15 (ΔC), lacking the cytoplasmic domain, revealed increased caspase activities upon Fas ligation in comparison to cells transfected with full-length ADAM15, clearly demonstrating the importance of the cytoplasmic domain for an increased apoptosis resistance. Furthermore, activation of the Fas receptor triggered the phosphorylation of Src at Y416, which results in the active conformation of Src, as well as the phosphorylation of FAK at Y576/577 and Y861 – the target tyrosines phosphorylated by Src - in full-length ADAM15-transfected chondrocytes. However, cells transfected with ADAM15 mutant (ΔC) or with vector control did not exhibit any activation of Src and FAK upon Fas ligation. This suggested the presence of an as yet unknown protein interaction mediating the Fas triggered activation of the two kinases.
In order to identify this mechanism, the application of signal transduction inhibitors interfering with Calcium signaling either by inhibiting calmodulin with trifluoperazine (TFP) or the Calcium release-activated channel (CRAC/Orai1) with BTP-2 efficiently inhibited the phosphorylation of FAK and Src, revealing a role of calmodulin, the major Ca2+ sensor in cells, in ADAM15-dependent and Fas-elicited activation of the two survival kinases. Also, a direct Ca2+ -dependent binding of calmodulin to ADAM15 could be demonstrated by pull-down assays using calmodulin-conjugated sepharose and by protein binding assays using the recombinant cytoplasmic domain of ADAM15 and calmodulin.
Furthermore, it could be demonstrated in living synovial fibroblasts by double immunofluorescence stainings that triggering the Fas receptor by its ligand FasL or a Fas-activating antibody resulted in the recruitment of calmodulin to ADAM15 as well as to the Fas receptor in patch-like structures at the cell membrane. Simultaneously, Src associated with calmodulin was shown to become engaged in an ADAM15 complex, also containing cytoplasmic-bound FAK, by co-immunoprecipitations.
Additional studies were performed to analyze the efficacy of TFP and BTP-2 on apoptosis induction in synovial fibroblasts from 10 RA patients. Using caspase 3/7 and annexin V stainings for determining apoptosis, it could be shown that both inhibitors did not possess any apoptosis inducing capacity. However, when co-incubated with FasL both compounds synergistically enhanced apoptosis rates in the RASFs. Moreover, an additional silencing of ADAM15 revealed a further significant rise in apoptosis rates upon incubation with FasL/TFP or FasL/BTP-2, providing unequivocal evidence for an involvement of ADAM15 in facilitating apoptosis resistance in RASFs.
Taken together, these results demonstrate that ADAM15 provides a scaffold for the formation of calmodulin-dependent pro-survival signaling complexes upon CRAC/Orai1 coactivation by Fas ligation, which provides a new potential therapeutic target to break the apoptosis resistance in RASFs that critically contributes to joint destruction in RA.
The Compressed Baryonic Matter experiment (CBM) at FAIR and the NA61/SHINE experiment at CERN SPS aim to study the area of the QCD phase diagram at high net baryon densities and moderate temperatures using heavy-ion collisions. The FAIR and SPS accelerators cover energy ranges 2-11 and 13-150 GeV per nucleon respectively in laboratory frame for heavy ions up to Au and Pb. One of the key observables to study the properties of a matter created in such collisions is an anisotropic transverse flow of particles.
In this work, the performance of the CBM experiment for anisotropic flow measurements is studied with Monte-Carlo simulations using gold ions at SIS-100 energies employing different heavy-ion event generators. Also, procedures for centrality estimation and charged hadron identification are described and corresponding frameworks are developed.
The measurement of the reaction plane angle is performed with Projectile Spectator Detector (PSD), which is a hadron calorimeter located at a very forward angle. To prevent radiation damage by the high-intensity ion beam, the PSD has a hole in the center to let the beam pass through. Various combinations of CBM detector subsystems are used to investigate the possible systematic biases in flow and centrality measurements. Effects of detector azimuthal non uniformity and the PSD beam hole size on physics performance are studied. The resulting performance of CBM for flow measurements is demonstrated for identified charged hadron anisotropic flow as a function of rapidity and transverse momentum in different centrality classes.
The measurement techniques developed for CBM were also validated with the experimental data recently collected by the NA61/SHINE experiment at CERN SPS for Pb+Pb collisions at the beam momenta 30A GeV/c. Compared to the existing data from the NA49 experiment at the CERN SPS, the new data allows for a more precise measurement of anisotropic flow harmonics. The fixed target setup of NA61/SHINE also allows extending flow measurements available from the STAR at the RHIC beam energy scan (BES) program to a wide rapidity range up to the forward region where the projectile nucleon spectators appear. In this thesis, an analysis of the anisotropic flow harmonics in Pb+Pb collisions at beam momenta 30A GeV/c collected by the NA61/SHINE experiment in the year 2016 is presented. Flow coefficients are measured relative to the spectator plane estimated with the Projectile Spectators Detector (PSD). The flow coefficients are obtained as a function of rapidity and transverse momentum in different classes of collision centrality. The results are compared with the corresponding NA49 data and the measurements from the RHIC BES program.
The research focuses on magic - the practice of performing tricks and illusions on stage aiming at entertaining the audience. In the late XIX-early XX century magic achieved an outstanding social recognition and became an important artistic phenomenon. This study aims to analyze the work of the most prominent magicians of the late XIX-early XX centuries and to define the historical role of magicians in the history of culture and art.
Using methods of art history and cultural studies, I analyze the autobiographies of magicians, the literature on magic published during the period in question, and contemporary press. I approach the history of magic from three different perspectives: magic as a branch of show business, magic as a cultural phenomenon, and magic as a type of performing art. It allowed me to create a detailed account of magic as a social, cultural and artistic phenomenon.
I argue that magic became a highly influential cultural phenomenon of the late 19th- early 20th centuries in Great Britain that represented the idea of real magic on stage. Magic shows reflected a complex relationship between rational and magical thinking that existed in society and produced narratives about science and the supernatural.
Moreover, very few studies have focused on the question of defining magic as an art form. In the thesis, I analyzed the theoretical works on magic written by magicians and developed a framework for further research on magic from the perspective of the history of art.
Durch Implementierung eines effizienten Früherkennungsprogramms ist die Inzidenz des Zervixkarzinoms in Industrienationen seit 2005 auf konstant niedrigem Niveau. Ungeachtet dessen ist das Zervixkarzinom mit deutlich höheren Inzidenzraten und weniger als 50% Gesamtüberleben in den nicht industrialisierten Staaten die vierthäufigste Tumorentität der Frau weltweit.
Zur Behandlung des lokal fortgeschrittenen Zervixkarzinoms (FIGO Stadium IIb bis IVa bzw. Ib2/IIa2 mit mehreren histologischen Risikofaktoren) besteht nach aktueller Leitlinie (Stand 2014) und internationalem Konsens Indikation zur platinhaltigen Radiochemotherapie (RCT), subsequent gefolgt von einer (High Dose-Rate) Brachytherapie (HDR-BT). Unter diesen Umständen beträgt die lokale Kontrolle für Patientinnen mit lokal fortgeschrittenem Tumor zwischen 74% und 85%.
Dennoch stagnieren Gesamtüberleben und das spezifische Überleben bezogen auf verschiedene klinische Endpunkte, sodass die Entwicklung neuer Behandlungsstrategien und Therapieoptionen, insbesondere zur Behandlung rezidivierter und metastasierter Erkrankungsstadien, angezeigt ist. Darüber hinaus spielen im Gegensatz zu anderen Tumorentitäten molekulare Marker sowohl als prädiktive als auch als therapeutische Targets bei der Behandlung des Zervixkarzinoms eine bislang untergeordnete Rolle, während molekular-zielgerichtete Therapien in der modernen Krebstherapie einen immer größeren Stellenwert einnehmen.
Ziel der hier vorliegenden Arbeit ist es, neue Biomarker für das Zervixkarzinom und dessen Ansprechen auf simultane Radiochemotherapie und anschließende Brachytherapie zu identifizieren.
Zu diesem Zweck untersuchten wir in einem Patientenkollektiv von 74 Patientinnen mit histologisch gesichertem Zervixkarzinom (FIGO Ib - IVb) prätherapeutisch gewonnenes Biopsiegewebe. Mittels immunhistochemischer Methoden wurde die Expression von Polo-like Kinase 3 (PLK3) und phosphoT273 Caspase-8 erfasst und quantifiziert. Die Ergebnisse wurden anschließend mit klinischen bzw. histo-pathologischen Charakteristika, einschließlich der p16INK4a Expression und den klinischen Endpunkten lokales progressionsfreies- und Fernmetastasen-freies
Überleben bzw. dem tumorspezifischem und dem Gesamtüberleben nach kurativ intendierter Therapie korreliert.
Hierbei konnte zunächst eine signifikante Korrelation zwischen der PLK3 und pT273 Caspase-8 Expression beobachtet werden (p = 0.009). Darüber hinaus war PLK3 signifikant mit dem N-Status (p = 0.046), dem M-Status (0.026) und dem FIGO-Stadium (p = 0.001) assoziiert, wohingegen die pT273 Caspase8-Expression signifikant mit der Tumorgröße (T-Stadium) korreliert war. Bezogen auf univariate Überlebenszeitanalysen war eine erhöhte PLK3-Expression signifikant mit einer geringeren Rate an Fernmetastasen (DMFS p = 0.009) sowie einem signifikant verlängertem tumorspezifischen und Gesamtüberleben assoziiert (CSS p = 0.001, OS p = 0.003). Vergleichbare Ergebnisse konnten auch für die pT273-Caspase 8 Expression mit einer verringerten Metastasierungsrate (p=0.021) und verbessertem tumorspezifischem (p<0,001) sowie Gesamtüberleben (p=<0.001) gezeigt werden. In den multivariaten Analysen verblieb die pT273-Caspase 8-Expression mit einem signifikant verbesserten Gesamtüberleben (p=0.001).
Zusammenfassend belegen diese Daten erstmals eine signifikante Korrelation zwischen einer erhöhten prä-therapeutischen PLK3 und pT273 Caspase 8- Expression und einem zu favorisierenden klinischen Verlauf nach mit Radiochemotherapie behandeltem Zervixkarzinom.
Food allergies are defined as an adverse health effect arising from a specific immune response that occurs reproducibly on exposure to a given food. The prevalence of food allergies has increased in the past decade. Epidemiologic studies involving controlled food challenges for the diagnosis of food allergies indicated that between 1 % to 10.8 % of the population have immunemediated non-toxic food hypersensitivity.
Despite the increasing prevalence, no curative treatment has been established for food allergies so far except the complete avoidance of the elicited food. To establish safe and effective immunotherapy for food allergies, it is of crucially importance to elucidate pathological mechanism of such diseases.
Food allergies are classified into IgE-mediated and non-IgE mediated (T-cell mediated) allergies, depending on the immunologic pathways and the role of the IgE on the pathogenesis of the disease. Allergic enteritis (AE) is a gastrointestinal form of food allergy. It is classified as non-IgE-mediated food allergy. However, patients with AE often develop IgE and high levels of IgE have been associated with development of persistent AE. The gastrointestinal symptoms of AE are nonspecific, resulting in the fact that a broad differential diagnoses including diagnostic approaches for allergic diseases are necessary to rule out other gastrointestinal pathologies. Biopsies of patients with allergic enteritis have shown infiltration of inflammatory cells (e.g. mast cells, eosinophils, neutrophils, and T cells) in the lamina propria, disruption of intestinal villi, edema, and presence of goblet cells in the intestine...
High-energetic heavy-ion collisions offer the unique opportunity to produce and to study dense nuclear matter in the laboratory. The future Facility for Antiproton and Ion Research (FAIR) in Darmstadt, Germany, will provide beams of heavy nuclei up to kinetic energies of 11 GeV/nucleon. At these energies, the nuclear matter in the collision zone of two nuclei will be compressed to densities of up to 5 − 10 times the saturation density of atomic nuclei, similar to matter densities existing in the core of massive neutron stars. Under those conditions, nucleons are expected to melt and form a new state of matter, which consists of quarks and gluons, the so called Quark-Gluon Plasma (QGP). The search for such a phase transition from hadronic to partonic matter, and the exploration of the nuclear matter equation-of-state at high densities are the major goals of heavy ion experiments worldwide.
The observables, which are proposed to probe the properties of dense nuclear matter and possible phase transitions, include multi-strange hyperons, antibaryons, lepton pairs, collective flow of identified particles, fluctuations and correlations of various particles, particles containing charm quarks, and hypernuclei. These observables have to be measured in multi-dimensions, i.e. as function of collision centrality, rapidity, transverse momentum, energy, emission angle, etc., which requires extremely high statistics. Moreover, some of these particles are produced very rarely.
Therefore, the Compressed Baryonic Matter (CBM) experiment at FAIR is designed to run at collision rates of up to 10 MHz, in order to perform measurements with unprecedented precision. Due to the complicated decay topology of many observables, no hardware trigger can be applied, and the data have to be analysed online in order to filter out the interesting events.
This strategy requires free-streaming read-out electronics, which provides time stamps to all detector signals, a high performance computer center, and high-speed reconstruction algorithms, which provide an online track and event reconstruction based on time and position information of the detector hits (”4-D“ reconstruction).
The core detector of the CBM experiment is the Silicon Tracking System (STS). The main task of the STS is to provide track reconstruction and momentum de- termination of charged particles originating from beam-target interactions. To fulfil the whole tasks the STS is located in the large gap of a superconducting dipole magnet with a bending power of 1 Tm providing momentum measurements for charged particles. The STS comprises 8 detector stations, which are positioned from 30 cm to 100 cm downstream the target. The corresponding active area of the stations grows up from 40×50 cm 2 up to 100×100 cm 2 with a totalarea of 4 m2. The silicon double-sided sensors exhibit 1024 strips on each side with a stereo angle at p-side of 7.5 ◦ and a strip pitch of 58 μm. The strip length ranges from 2 cm for sensors located in a close vicinity to the beam axis, up to 12 cm for other sensors where the flux of the reaction products drops down substantially. In total, the STS consist of 896 sensors mounted on 106 detector ladders. The detector readout electronics dissipates 40 kW and will be equipped with a CO 2 bi-phase cooling system. The detector including electronics will be mounted in a thermal enclosure to allow for sensor operation at below −5 ◦ C which minimizes radiation induced leakage currents.
The task of the STS is to measure the trajectories of up to 800 charged particles per collision with an efficiency of more than 95% and a momentum resolution of 1 − 2%. In order to guarantee the required performance over the full lifetime of the CBM experiment, the detector system has to have a low material budget, a high granularity, a high signal-to-noise (SNR) ratio, and a high radiation tolerance. As a result of optimisation studies, the STS consists of double-sided silicon microstrip sensors, about 300 μm thick, which have to provide a SNR ratio of more than 10, even after radiation with the expected equivalent lifetime fluence of 10 14 1 MeV n eq cm −2.
This thesis is devoted to the characterization of double-sided silicon microstrip sensors with an emphasis on investigation of their radiation hardness. Different prototypes of double sided silicon sensors produced by two vendors have been irradiated by 23 MeV protons up to the double life time fluence for the CBM experiment (2 × 10 14 1 MeV n eq cm −2 ).
The sensor properties have been characterised before and after irradiation. It was found, that after irradiation with a double lifetime fluence the leakage current increased 1000 times, which results in an increased shot noise. Moreover, the relative charge collection efficiency of irradiated with respect to non-irradiated sensors drops down to 85% for the lifetime equivalent fluence, and down to 73% for the double lifetime fluence, both for the p-side and n-side. For non-irradiated sensors the SNR was found to be in the range of 20 − 25, whereas for irradiated sensors it dropped down to 12 − 17.
In addition to the sensor characterization, a part of this thesis was devoted to the optimisation of the sensor readout scheme. In order to investigate the possible increase of SNR, and to reduce the number of readout channels in the outer aperture of STS, three versions of routing lines have been realized for the p-side readout of the sensor prototype, and have been tested in the laboratory and under beam conditions.
The tests have been performed with different inclination angles between beam direction and sensor surface, corresponding to the polar angle acceptance of the CBM experiment, which is from 2.5 ◦ to 25 ◦.
As a result of the studies carried out in this thesis work, the radiation hardness of the double-sided silicon microstrip sensors developed for the CBM STS detector was confirmed. Also the advantage of individual read-out of sensor channels in the lateral regions of the detector was verified. This allowed to start the tendering process for sensor series production in industry, an important step towards the construction of the detector in the coming years.
This work deals with the characterization of three different type II polyketide synthase systems (PKS II) from the Gram-negative bacteria Xenorhabdus and Photorhabdus.
Particular attention was paid to a biochemically underexplored class of aryl polyene (APE) pigments. Bioinformatic analysis of enzymes involved in the biosynthesis and the in vitro reconstruction proved that the synthesis of APEs involves an unusual fatty acid-like elongation mechanism. Furthermore, the discovery of unexpected protein-protein interactions provided new insights into the multienzyme complex formation of this unusual PKS II system. Through collaboration with the groups from Prof. Michael Groll and junior Prof. Nina Morgner, two protein complexes were structurally solved and several native protein multimerization events were identified and allowed us to suggest a possible protein-interaction network. The results are summarized in publication ‘An Uncommon Type II PKS Catalyzes Biosynthesis of Aryl Polyene Pigments’ (first author; J. Am. Chem. Soc.).
In addition to in vitro-analysis, in vivo-studies were used to investigate the APE compound produced by X. doucetiae in more detail. The activation of the silent biosynthetic gene cluster (BGC) led to the detection of the APE compound in the homologous host. Further combination of homologous expression and targeted deletions of the APE BGC revealed an APE-lipid-like structure. MS-based analyses and purification of intermediates allowed us to deduce structural building blocks of the APE-lipid, which is composed of an APE structural core, a glucosamine residue and an unusual long-chain fatty acid with unusual conjugated double bonds and a phosphoethanolamine head group. In combination with the above stated in vitro-data, we assumed a plausible biosynthetic mechanism of the APE-lipid. The results are summarized in the section ‘Additional Results: Tracing the Full-length APE’.
The biosynthesis of isopropylstilbene (IPS) has already been well-studied by the Bode laboratory and the group of Prof. Ikuro Abe. Studies with Photorhabdus laumondii TT01 by the Bode group revealed the distributed locations and functions of the genes involved in biosynthesis, which originate from two pathways. Particularly, the Bode group first demonstrated that an unusual ketosynthase/cyclase (StlD) catalyzes the condensation of 5-phenyl-2,4-pentadienoyl-ACP and isovaleryl-beta-ketoacyl-ACP via a Michael addition. Such a pathway for stilbene formation is distinct from those widespread in plants. The Abe group solved the structure and biochemical mechanism of StlD and further investigated the aromatization reaction of the aromatase StlC. However, the generation of the required cinnamoyl-precursor 5-phenyl-2,4-pentadienoyl-ACP as a Michael acceptor for this cyclization reaction remained elusive. In this work, we were able to reconstitute the synthesis of the Michael acceptor in vitro, by the action of enzymes from the fatty acid biosynthesis. With the knowledge about the crucial cross-talk from primary and specialized metabolism, we further determined the minimal endowment for stilbene production in a heterologous host. Here, the discovered AasS enzyme StlB is responsible for the generation of cinnamoyl-ACP and among others, plFabH plays a key role as gatekeeper enzyme for further processing. With this information in hand, we were able to obtain IPS production in E. coli. These results are presented in the manuscript ‘Biosynthesis of the Multifunctional Isopropylstilbene in Photorhabdus laumondii Involves Cross-talk Between Specialized and Primary Metabolism’ (co-first author, manuscript).
The biosynthesis of the orange-to-red-pigmented anthraquinones (AQs) is the best-studied type II PKS system according to preliminary results. While several investigations by Brachmann et al. discovered the BGC and the overall product spectrum of the main AQ-256 and its methylated derivatives, data of Quiqin Zhou (Bode group) performed biochemical in vitro analysis paired with in vivo heterologous expression of the ant-genes antA-I. This led to the identification of shunt products that indicated an AQ-scaffold derived from an octaketide intermediate that gets shortened to a heptaketide by the hydrolase AntI, resulting in the main anthraquinone AQ-256. This PKS-shortening mechanism was further confirmed by the protein crystal structure of AntI by the Groll group (publication, minor contributions, co-author, Chem Sci. ‘Molecular Mechanism of Polyketide Shortening in Anthraquinone Biosynthesis of Photorhabdus luminescens’). Further substrate analysis of the P. luminescens AQ-producer and mutants revealed an inhibitory effect of cinnamic acid against the hydrolase AntI. Cinnamic acid might therefore be involved in regulation of AQ biosynthesis (‘Anthraquinone Production is Influenced by Cinnamic Acid’, first author, manuscript).
Biochemical analysis from Quiqin Zhou with the minimal PKS of the AQ-synthase further revealed the exclusive activation of the AQ-ACP by the PPTase AntB. The PPTase is insoluble alone but gets stabilized by the CoA-ligase, most likely inactive, working as a chaperone. Thus, the minimal PKS endowment to produce the octaketide scaffold compromises, besides the ACP, the KS:CLF heterodimer and the MCAT, the co-occurrence of the PPTase AntB and the CoA-ligase AntG. For the first time, X-ray crystallography depicted a minimal PKS in action, by obtaining the structural data of native complexes from an ACP:KS:CLF, the KS:CLF alone and an ACP:MCAT in their non-active and active forms. It was possible to confirm a KS-bound hexaketide, which was built upon heterologous expression of the KS:CLF. Mutagenesis with amino-acids proposed to be involved in protein-protein interactions in the ACP:KS:CLF complex revealed some interesting protein-interaction sites. Additionally, an induced-fit mechanism of the MCAT with the ACP during the malonylation reaction confirmed a monodirectional transfer reaction (‘Structural Snapshots of the Minimal PKS System Responsible for Octaketide Biosynthesis’ co-author, manuscript under review).
Characterization of SPRTN, the first mammalian metalloprotease that repairs DNA-protein-crosslinks
(2019)
DNA is constantly exposed to various endogenous and exogenous sources causing different kinds of DNA damage. To overcome this threat, cells have evolved various repair mechanisms. Impairments of these repair mechanisms result in diverse diseases. Ruijs-Aalfs syndrome is a monogenic disease characterized by accelerated ageing and carcinogenesis, typical features of impaired DNA repair and was shown to be caused by germline mutations of SPRTN, a newly identified and only partially understood protein. A role of SPRTN in DNA damage response was previously shown and an involvement in translesion synthesis (TLS) proposed. However, later discoveries revealed an essential function of SPRTN, being indispensible for embryonic development of vertebrates and cellular survival, whereby this function is independent of SPRTN’s proposed function in TLS. The essential function of SPRTN was proposed to be contained in its protease domain but remained unclear.
In this study we identify SPRTN as the first mammalian metalloprotease that repairs DNA-protein-crosslinks (DPCs). DPCs represent a specific type of DNA-lesions with bulky protein adducts covalently linked to DNA thereby being highly toxic as they potentially stall replication forks and lead to double strand breaks and genomic instability. DPC-repair remains only partially understood despite their frequent appearance and toxicity. With this study we discover and characterize a new mechanism of DPC-repair in mammalian cells - a proteolytic cleavage of the protein adduct by the metalloprotease SPRTN. Accordingly, a proteolytic activity of SPRTN is demonstrated and s SPRTN-recruitment to DNA upon DPC-induction displayed. Furthermore, SPRTN exhibits degradation of different proteins covalently bound to DNA in form of DPCs, but not of unbound fractions of the same protein substrates. Consequently, mutations of SPRTN’s proteolytic core as well as a mislocalization or depletion of SPRTN result in impaired DPC-repair. The importance of SPRTN-mediated DPC-removal is confirmed by a severely compromised response to DPC-inducing agents for cells with impaired SPRTN function. Additionally to the discovery of SPRTN’s essential function this study further provides an explanation of the molecular mechanism underlying Ruijs-Aalfs syndrome (RJALS), the segmental progeroid syndrome resulting from SPRTN mutation. The effects of the identified clinical mutations on the DPC-repair function of SPRTN are explained and a DPC-accumulation in cells carrying clinical SPRTN-mutation displayed. The obtained data provides sufficient evidence that an impaired DPC-repair is the pathophysiologic cause of RJALS-syndrome, confirming the importance of SPRTN’s newly identified function. In conclusion, SPRTN is the first identified mammalian metalloprotease with a DPC-repairing function and the impairment of SPRTN-mediated DPC-removal is the underlying mechanism of RJALS syndrome.
Paramyxo- and pneumoviruses include many pathogens with great relevance for human and animal health. To identify common host factors involved in the Paramyxo- and Pneumoviridae life cycle as a basis for new insights in the biology of these viruses and the development of rationally designed therapeutics, genome scale siRNA screens with wild-type measles, mumps, and respiratory syncytial viruses in A549 cells, a human lung adenocarcinoma cell line, were performed. A comparative bioinformatics analysis yielded different members of the coatomer complex I, the translation factors ABCE1 and eIF3A, and several RNA binding proteins as cellular proteins with proviral activity for all three viruses. The strongest common hit, ABCE1, an ATP-binding cassette transporter member, was chosen for further study. We found that ABCE1 supports replication of all three viruses, confirming its importance for both virus families. While viral protein kinetics showed that ABCE1 knockdown resulted in a drastic decrease of MeV protein expression, viral mRNA kinetics are not directly affected by a reduction of ABCE1.
The impact of ABCE1 on viral and global cellular translation was investigated using both 35S metabolic labelling and non radioactive fluorescent protein labelling. ABCE1 knockdown strongly inhibited the production of MeV proteins, while only modestly affecting global cellular protein synthesis and showed that ABCE1 is specifically required for efficient viral, but not general cellular, protein synthesis, indicating that paramyxoand pneumoviral mRNAs may exploit specific translation mechanisms.
In a second approach the efficacy of the small-molecule polymerase inhibitor ERDRP-0519 against MeV was assessed in squirrel monkeys. Animals treated with the drug experienced less severe clinical disease compared to untreated controls, and this effect correlated with the onset of drug treatment.
We observed a reduction of levels of PBMC-associated viremia and virus release in the upper airways, illustrating effective inhibition of virus replication by the drug treatment. ERDRP-0519 drug treatment also alleviated MeV-induced immunosuppression. In addition to providing proof-of-concept for the support of MeV eradication efforts by preventing disease and transmission with a small-molecule polymerase inhibitor, this dissertation provides a novel perspective on cellular proteins that impact the replication of MeV, MuV and HRSV and highlights the role of ABCE1 as host factor that is required for efficient paramyxo- and pneumovirus translation.
Charge states and energy loss of heavy ions after passing an inductively coupled plasma target
(2019)
In various kinds of fields such as accelerator physics, warm dense matter, high energy density physics, and inertial confinement fusion, heavy ions beam-plasma interaction plays an important role, and abundant investigations have been and are being carried out. Taking advantage of a good level of understanding on the interaction between a swift heavy ions beam and a hydrogen gas discharge plasma, an engineering application of a spherical theta-pinch device as a plasma stripper for FAIR (facility for antiproton and ion research) and a scientific application of a swift heavy ions beam as a novel plasma diagnostic tool are proposed and investigated.
The spherical theta-pinch device is manufactured, improved, and comprehensively tested for its application as a plasma stripper. The device is mainly composed of an evacuated glass vessel that can be filled with gas (for example: hydrogen) and a LRC circuit including a capacitors bank and a set of coils. Discharging the device at an initial hydrogen pressure in the glass vessel and an operation voltage for the capacitors bank, a circuit current oscillates in the LRC circuit. The oscillating circuit current in the set of coils induces a corresponding alternating magnetic field inside the glass vessel to ignite and maintain a hydrogen plasma.
Based on the built setup of circuit and plasma diagnostics, the measurements of circuit current, plasma light emission, plasma shape, and hydrogen Balmer series are carried out. The recorded signals of the circuit current and the plasma light emission of many consecutively repetitive discharges overlap perfectly, which indicate a very good reproducibility of the parameters of the LRC circuit during discharge and the generated plasma. From the measured circuit current, a real energy transfer efficiency is calculated by our proposed new model, which shows its overall tendency varying with the hydrogen pressure and the operation voltage, including the maximum value of 25% occurring at an initial hydrogen pressure of around 25 Pa and a maximum operation voltage of 14 kV. So, the discharge at an initial hydrogen pressure of 20 Pa and an operation voltage of 14 ...
This dissertation deals with the lexical, morphological, syntactic, and semantic properties of (VP )idioms and their behavior in combination with restrictive relative clauses, raising, constituent fronting, wh-movement, VP-ellipsis, pronominalization, the progressive form, verb placement, passivization, conjunction modification, and the N-after-N construction. It provides empirical evidence towards a combinatorial analysis of both semantically non-decomposable idioms (SNDIs) and semantically decomposable idioms (SDIs) and contributes to the (formal) formulation of such an account.
The Introduction (Chapter 1) first motivates why idioms are an exciting and challenging phenomenon and then gives a definition of the term idiom, a classification of idioms, and an overview of the wide spectrum of idiom analyses found in the linguistic literature.
Chapter 2, “Idioms as evidence for the proper analysis of relative clauses”, shows that the Modification Analysis beats the other two major analyses of restrictive relative clauses (RRCs), namely Raising and Matching, as (i) the latter two lead to a loss of numerous empirical generalizations in syntax and morphology, and (ii) contrary to the assumption in the literature, idioms in RRCs can, in fact, be licensed without literal syntactic movement of the RRC-head, which makes modification fully compatible with idiom reconstruction effects.
Chapter 3, “How frozen are frozen idioms?”, presents new empirical observations on the lexical, morphological, and syntactic flexibility of kick the bucket and displays that this idiom is not completely frozen with respect to its NP complement, the progressive form, and, in some contexts, even passivization. The chapter concludes that analyses of kick the bucket as a single lexical entry should be replaced by analyses of this and other SNDIs with a syntactically regular shape as consisting of individual word-level lexical entries that combine according to the standard rules of syntax.
This idea is taken up in Chapter 4, “The syntactic flexibility of semantically non-decomposable idioms”, which – based on the differences between English and German with regard to verb placement, constituent fronting, and passivization as well as a short outlook on Estonian and French – spells out a combinatorial analysis of SNDIs and augments it with a semantic analysis formulated in Lexical Resource Semantics, according to which some idiom parts make identical semantic contributions to the overall meaning of the idiom. The analysis further suggests that the syntactic flexibility of idioms is due to the semantic and pragmatic constraints on the involved constructions, rather than the syntactic encoding of the idioms.
Chapter 5, “Modification of literal meanings in semantically non-decomposable idioms”, reviews Ernst’s (1981) classical three types of idiom modification (internal, external, and conjunction) to then closely investigate the most challenging type, namely conjunction modification, in SNDIs. Based on naturally occurring examples of four SNDIs (two English, two German), it sketches an analysis in terms of two or more conjoined independent propositions, each of which can be the result of figurative reinterpretation. One of the propositions contains the idiomatic meaning, in (one of) the other(s), the meaning of the modifier applies to the literal meaning of the idiom’s noun.
Chapter 6, “Semantically decomposable idioms in the N-after-N construction”, offers a formal syntactic and semantic account of SDIs like pull strings in the N-after-N construction, as in Kim pulled string after string to get Alex into a good college. While the idiom contributes the type of entity at stake (‘string’ in the case of pull strings), N-after-N contributes that there are several instantiations of that type of entity and that these are subject to temporal or spatial succession. The chapter first summarizes the empirical properties of N-after-N, then provides an account of N-after-N in Head-driven Phrase Structure Grammar (HPSG), presents an updated version of the account of SDIs suggested in Chapter 2 within HPSG, and combines it with the HPSG account of N-after-N.
The main contribution of the thesis is in helping to understand which software system parameters mostly affect the performance of Big Data Platforms under realistic workloads. In detail, the main research contributions of the thesis are:
1. Definition of the new concept of heterogeneity for Big Data Architectures (Chapter 2);
2. Investigation of the performance of Big Data systems (e.g. Hadoop) in virtualized environments (Section 3.1);
3. Investigation of the performance of NoSQL databases versus Hadoop distributions (Section 3.2);
4. Execution and evaluation of the TPCx-HS benchmark (Section 3.3);
5. Evaluation and comparison of Hive and Spark SQL engines using benchmark queries (Section 3.4);
6. Evaluation of the impact of compression techniques on SQL-on-Hadoop engine performance (Section 3.5);
7. Extensions of the standardized Big Data benchmark BigBench (TPCx-BB)(Section 4.1 and 4.3);
8. Definition of a new benchmark, called ABench (Big Data Architecture Stack Benchmark), that takes into account the heterogeneity of Big Data architectures (Section 4.5).
The thesis is an attempt to re-define system benchmarking taking into account the new requirements posed by the Big Data applications. With the explosion of Artificial Intelligence (AI) and new hardware computing power, this is a first step towards a more holistic approach to benchmarking.
Air-sea feedbacks between the Mediterranean Sea and the atmosphere on various temporal and spatial scales play a major role in the Mediterranean regional climate system and beyond. The Mediterranean Sea is a source of moisture due to excess evaporation and, on a long-term average, is associated with a warming of the lower atmosphere in contact with the sea surface due to heat loss at the air-sea interface. The complex air-sea interactions and feedbacks in the Mediterranean basin strongly modulate the sea surface fluxes and favor several cyclogenetic activities under certain meteorological conditions. Examples of such cyclonic activities are medicanes (Mediterranean hurricanes) and Vb-cyclones. Medicanes are mesoscale, marine, and warm-core Mediterranean cyclones that exhibit some similarities to tropical cyclones, while Vb-cyclones are extra-tropical cyclones, that propagate from the Western Mediterranean Sea and travel across the Eastern European Alps into the Central European region. Extremely strong winds and heavy precipitation associated with these cyclones can lead to severe destruction and flooding. Changes in the intensity and frequency of these cyclones are also projected under changing future climate conditions, where the Mediterranean region has been identified as a hotspot in terms of rising temperatures.
The development of high-resolution regional climate models (RCMs) has progressed our understanding of the processes characterizing the Mediterranean climate. However, large uncertainties still exist regarding the estimates of air-sea fluxes, which, in turn, affect the simulation of the Mediterranean climate. Several factors can be attributed to such discrepancies, such as data quality, temporal and spatial resolution, and the misrepresentation of physical processes. To overcome some of these inconsistencies and deficiencies of the existing climate simulations, a new high-resolution atmosphere-ocean regional coupled model (AORCM) has been developed to simulate the air-sea feedback mechanisms. This coupled model incorporates the coupling of RCM COSMO-CLM (CCLM) and the regional ocean model NEMO-MED12 for the Mediterranean Sea (MED) as well as NEMO-NORDIC for the North- and Baltic Sea (NORDIC). Several experiments were performed using both the coupled and uncoupled models to investigate the impact of air-sea interactions and feedbacks on sea surface heat fluxes, wind speed, and on the formation of Mediterranean cyclones (i.e., medicanes and Vb-cyclones). These experiments were performed using different horizontal atmospheric grid resolutions to analyze the effect of resolution on sea surface heat fluxes, wind speed, and the development of medicanes.
The results of the present study indicate that a finer atmospheric grid resolution ([is as appreciated as]9 vs. [is as appreciated as]50 km) improved the wind speed simulations (particularly near coastal areas) and subsequently improved the simulations of the turbulent heat fluxes. Both parameters were better simulated in the coupled simulations than in the uncoupled simulations, but coupling introduced a warm SST bias in winter. Radiation fluxes were slightly better represented in coarse-grid simulations than in fine-grid simulations. However, the higher-resolution coupled model could reproduce the observed net outgoing total surface heat flux over the Mediterranean Sea. In addition to that sub diurnal SST variations have a strong effect on sub-daily heat fluxes and wind speed but minor effects at longer timescales. Regarding the impact of atmospheric grid resolution ([is as appreciated as]50, 25, and [is as appreciated as]9 km) and ocean coupling on medicanes, it was detected that the coupled model with a finer atmospheric grid ([is as appreciated as]9 km) was able to not only reproduce most medicane events, but also improved the track length, warm core, and wind speed compared to the uncoupled model. The coupled model with the coarse-grid ([is as appreciated as]50 and [is as appreciated as]25 km) did not show any improvement in simulating medicanes compared to the uncoupled model. The spectral nudging technique, applied on the wind components above 850 hPa in the interior domain to keep large-scale circulation close to the driving data (i.e., ERAInterim reanalysis), improved the accuracy of the times and locations of generated medicanes, but no improvement was found in the track length and intensity.
Concerning the role of the Mediterranean Sea coupling on Vb cyclones, the investigation showed that atmosphere-ocean coupling had an overall positive impact, although with a strong case-by-case variation, on the trajectories and intensity of Vb-cyclones as a result of the variation in moisture source for each event. In general, all model configurations could replicate Vbcyclones, their trajectories, and associated precipitation fields. The average structure of the precipitation field was best represented in the coupled simulations. Coupling of the North- and Baltic Seas also showed an improvement in some of the simulated Vb-cyclones.
The atmosphere-ocean coupling showed an overall positive impact on the simulation of sea surface heat fluxes and Mediterranean cyclones (medicanes and Vb-cyclones). Moreover, the representation of sea surface heat fluxes, wind speed, and medicane features was more realistic when using a finer atmospheric grid resolution (less than 10 km). The present study suggests that the combination of a finer atmospheric grid resolution together with atmosphere-ocean coupling is advantageous in simulating the Mediterranean climate system.
Rhabdomyosarcoma (RMS) is the most frequent pediatric soft-tissue sarcoma comprising two major subtypes – the alveolar and the embryonal rhabdomyosarcoma. The current therapeutic regime is multimodal including surgery, radiation and chemotherapy with cytostatic drugs. Although the prognosis for RMS patients has steadily improved to a 5-year overall survival rate of 70% for ERMS and 50% for ARMS, prognosis for subgroups with primary metastases or relapsed patients is still less than 25%, highlighting the need for development of new therapies for these subgroups. Since cancer cells are addicted to their cancer promoting transcriptional program, remodeling transcription by targeting bromodomain and extraterminal (BET) proteins has emerged as compelling anticancer strategy. However, in many cancer types BET inhibition was proved cytostatic but not cytotoxic emphasizing the need for combination protocols.
In this study we identify a novel synergistic interaction of the BET inhibitor JQ1 with p110α-isoform-specific Phosphoinositid-3-Kinase (PI3K) inhibitor BYL719 (Alpelisib) to induce mitochondrial apoptosis and global reallocation of BRD4 to chromatin. At first, we showed that JQ1 single treatment had cytostatic effects at nanomolar concentrations and inhibited MYC and Hedgehog (Hh) signaling in RMS known to promote proliferation of RMS. However, JQ1 single treatment barely induced cell death in RMS cells even at concentrations of up to 20 µM (< 20% cell death). Thus, we next tested combination approaches to elicit cell death. Since we previously identified synergistic cell death induction of Hh inhibition and PI3K inhibition in RMS cells we tested JQ1 in combination with the pan-PI3K/mTOR inhibitor PI-103 and the p110α-isoform-specific PI3K inhibitor BYL719. In addition, we tested JQ1 in combination with distinct HDAC inhibitors namely JNJ-26481585, SAHA (Vorinostat), MS-275 (Entinostat) and LBH-589 (Panobinostat) since the synergistic interaction of BET and HDAC inhibition has previously been described for other tumor entities.
Interestingly the synergism of cell death induction of JQ1/BYL719 co-treatment is superior to the synergism of JQ1 with pan-PI3K/mTOR inhibitor PI-103 or the tested HDAC inhibitors as confirmed by calculation of combination index. To investigate the molecular mechanisms underlying the synergy of JQ1/BYL719 co-treatment, we performed RNA-Seq and BRD4 ChIP-Seq experiments. RNA-Seq exhibited, that JQ1/BYL719 co-treatment shifted the overall balance of BCL-2 family gene expression towards apoptosis and increased gene expression of proapoptotic BMF, BCL2L11 (BIM) and PMAIP1 (NOXA) while decreasing gene expression of antiapoptotic BCL2L1 (BCL xL). These changes were verified by qRT-PCR and Western blot. Notably, BRD4 is phosphorylated upon JQ1/BYL719 co-treatment and globally reallocates BRD4 to chromatin. This BRD4 reallocation includes enrichment of BRD4 at the super-enhancer site of BMF, at the super-enhancer, typical enhancer and promoter regions of BCL2L11 (BIM) and at the PMAIP1 (NOXA) promoter, while JQ1 alone, as expected, reduces global chromatin binding of BRD4. Integration of RNA-Seq and BRD4 ChIP-Seq data underlines the transcriptional relevance of reallocated BRD4 upon JQ1/BYL719 co-treatment. Immunopreciptation studies showed, that RMS cells are initially primed to undergo mitochondrial apoptosis since BIM is constitutively bound to antiapoptotic BCL-2, BCL xL and MCL-1. JQ1/BYL719 co-treatment increased BIM expression and its neutralization of antiapoptotic BCL-2, BCL-xL and MCL-1 thereby rebalancing the ratio of pro- and antiapoptotic BCL-2 proteins in favor of apoptosis. This promotes activation of BAK and BAX resulting in caspase-dependent apoptosis. The functional relevance of proapoptotic re-balancing for the execution of JQ1/BYL719-mediated apoptosis was confirmed by individual silencing of BMF, BIM, NOXA or overexpression of BCL-2 or MCL-1, which all significantly rescued JQ1/BYL719-induced cell death. Execution of cell death by mitochondrial caspase-dependent apoptosis was veryfied by individual knockdown of BAK and BAX or caspase inhibitor N-Benzyloxycarbonyl-Val-Ala-Asp(O-Me) fluoromethylketone (zVAD.fmk), which all significantly rescued JQ1/BYL719-induced cell death.
In summary, combined BET and PI3Kα inhibition cooperatively induces mitochondrial apoptosis by proapoptotic re-balancing of BCL-2 family proteins accompanied by reallocation of BRD4 to transcriptional regulatory elements of BH3-only proteins.
Alternative splicing (AS) is a co- or post-transcriptional process by which one gene gives rise to multiple isoforms. This ‘split and combine’ step multiplies eukaryotic proteome diversity several fold and is implicated in several diseases given its pervasive impact. Control of alternative splicing is brought about by cis-regulatory elements, such as RNA sequence and structure, which recruit trans-acting RNA-binding proteins (RBPs). Although several of these interactions are already described in detail, we lack a comprehensive understanding of the regulatory code that underlies a splicing decision.
Here, we have established a high-throughput screen to comprehensively identify and characterise cis-regulatory elements that control a specific splicing decision. A cancer-relevant splicing event in proto-oncogene RON was picked as a minigene prototype for initialising the screening approach. Then, we transfected a library of thousands of randomly mutagenised minigene variants as a pool into human cells, and subsequently quantified the spliced isoforms by RNA sequencing. Importantly, we used a barcode sequence to tag the minigene variants and thereby linked mutations to their corresponding spliced products. By using a linear regression-based modelling approach, we were able to determine the effects of single mutations on RON AS. In total, more than 700 mutations were found to significantly affect the splicing regulation of the RON alternative exon. In addition, mutation effects quantified from the screening approach correlate with RON alternative splicing in cancer patients. We discovered numerous previously unknown cis-regulatory elements in both introns and exons, and found that the RBP heterogeneous nuclear ribonucleoprotein H (HNRNPH) extensively regulates RON AS at multiple levels in both cell lines and cancer. Furthermore, the large number of RBPs involved in the process, point to a complex splicing regulatory network involved in the control of RON splicing. iCLIP and synergy analysis between mutations and HNRNPH knockdown data pinpointed the most relevant HNRNPH binding sites across RON. Finally, cooperative HNRNPH binding was shown to mediate a splicing switch of RON alternative exon. In summary, our results provide an unprecedented view on the complexity of splicing regulation of an alternative exon. The novel screening approach introduces a tool to study the relationship of RNA sequence variants along with trans-acting regulators to their impact on the splicing outcome, offering insights on alternative splicing regulation and the relevance of mutations in human disease.
Hypoxia is a condition in which cells are deprived of adequate oxygen supply and represents a main feature of solid tumours. Cells under hypoxic stress activate transcriptional responses driven by hypoxia-inducible factors (HIFs), which affect multiple cellular pathways, including angiogenesis, metabolic adaptation and cell proliferation. While the transcriptional changes induced in hypoxic tumours are well characterised, it is still poorly understood how hypoxia contributes to the aberrant post-transcriptional regulation observed in tumours. In this PhD thesis, I studied the RNA response to hypoxia in cancer, to provide novel insights into its regulation.
Using deep RNA-Sequencing (RNA-Seq), I investigated transcriptome changes of three human cell lines from lung, cervical and breast cancer under hypoxia, advancing our knowledge of post-transcriptional gene regulation in hypoxic cancer. I show that hypoxia induced consistent changes in transcript abundance in the three cancer types. This was coupled to divergent splicing responses, highlighting the cell type specificity of alternative splicing programs. While the mRNA levels of RNA-binding proteins were mainly reduced, hypoxia upregulated muscleblind-like protein 2 (MBNL2) in all three cell lines. Hypoxia control was specific for MBNL2, since it did not affect its paralogs MBNL1 and MBNL3. Via knockdown experiments of MBNL2 in hypoxic cells, I could show that MBNL2 induction promotes adaptation of cancer cells to low oxygen by regulating both transcript abundance and alternative splicing of hypoxia response genes. In addition, depletion of MBNL2 reduced the proliferation and migration of cancer cells, corroborating a function of MBNL2 as cancer driver.
In the last few years, a novel class of RNAs has gained attention, namely circular RNAs (circRNAs), which are produced by a particular splicing mechanism, known as back-splicing. CircRNAs have been reported to change their abundance in cancer and their high stability makes them promising candidates as diagnostic biomarkers. In this study, I took advantage of deep rRNA-depleted RNA-Seq data to comprehensively investigate the expression of circRNAs in human cancer cells and their changes in response to hypoxia. To reliably identify circRNAs, I established a pipeline that integrates two available tools. for circRNA detection with custom approaches for quantification and statistical analysis. Using this pipeline, I identified 12006 circRNAs in the three cancer cell lines. Their molecular features suggest an involvement of complementary RNA sequences as well as trans-acting factors in circRNA biogenesis, including the splicing factor HNRNPC. Remarkably, I detected 210 circRNAs that are more abundant than their linear counterparts. Upon hypoxic stress, 64 circRNAs were differentially expressed in cancer cells, in most cases in a cell type-specific manner. In summary, in this PhD thesis, I present a comparative transcriptome profiling in human cancer cell lines. It reveals MBNL2 as an important player in hypoxic cancer progression and provides novel insights into the biogenesis and regulation of circRNAs under hypoxic stress.
This thesis revolves around the development of a new critical approach to contemporary anglophone postcolonial literature in the form of a concept of ‘corporate ingression.’ This term denotes a globally recurring process of biopolitical (re)structuring of a community by corporate power and its extended cultural influence on society.
Through an analysis of contemporary engagements with similarly explored events over time and space in the form of three novels (Helon Habila’s Oil on Water, Lauren Beukes’ Moxyland and David Mitchell’s The Thousand Autumns of Jacob de Zoet), this thesis explores the relevance of the concept of corporate ingression as a new approach to such imaginative works. By reading these texts closely, with and against the grain, I enter into dialogue with their discussion of corporate power as the major structural influence in the societies they explore. I also show that a comparative analysis of these texts reveals similarities between the exploration of the period of early colonialism as acted out by the various trade corporations in existence and contemporary forms of corporate dominance. This research thus concerns various contexts and explorations of corporate power and explores the concept of recurring forms of corporate ingression as a new perspective within literary postcolonial and globalisation studies.
Oil on Water (2010) as a political novel explores the complex intricacies of communities structured around corporate power and presents a full account of the stakeholders that are influenced by or connected to the Niger Delta’s oil industry. Moxyland (2008) as a futuristic cyberpunk novel nuances the destruction implied in Oil on Water as a major factor of corporate ingression by exploring corporate power’s potential for constructive influence over a community. The Thousand Autumns (2010) as a historical novel explores an instance of corporate ingression in which the Dutch East India Company in Japan, despite its significant cultural influence, is subordinate to the host state to its activity. Corporate power is explored as a fallible construction that can be controlled by a strong regime as well as benefited from.
Despite the geographic and temporal distance between the three cases, and despite their exploration of widely differing industries, circumstances and levels of success, the common factors remain recognisable. Critical analysis shows that the contrasts between especially the constructive and destructive corporate activity in the three texts is of great interest, as it highlights the potential of corporate power both for construction and destruction of value. This research also shows how each novel actively resists a binary ethical narrative, instead presenting a set of complex power dynamics within the respective communities.
With this research I show that reading corporate ingression both significantly informs the reading of various postcolonial texts, while also showing that the analysis of these texts reveals that a conventional postcolonial binary approach is insufficient to account for what these works describe and investigate. The concept of a process of corporate ingression as a new perspective on literary explorations of historical, contemporary or futuristic forms of corporate power is thus shown to be a relevant addition to current postcolonial literary scholarship.
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders worldwide. As described in the DSM-5, ADHD is clinically heterogeneous with three main subtypes; predominant hyperactive, predominant attention deficit and combined. The severity of symptoms widely differs among the patients and interferes with the person functioning, negatively impacting social and occupational activities (American Psychiatric Association, 2013). Despite the many efforts, the etiology of the disorder is still unclear. Therefore, there is an increasing demand of models that would help elucidating the causative mechanisms of the disorder and, in parallel, would be valuable tools to discover new and effective treatments. The main goal of the study is the identification of disease specific cellular phenotypes related to Attention-Deficit/Hyperactivity Disorder (ADHD) in cellular models from patients carrying rare copy number variants (CNVs) in the PARK2 locus that have been previously associated with ADHD (Elia et al., 2010; Jarick et al., 2014).
METHODS: Human dermal fibroblast (HDF) cultures were obtained from skin punches and reprogrammed into human induced pluripotent stem cells (HiPSC) and successively induced to differentiate into HiPSC-derived dopaminergic neurons. Both HiPSC and HiPSC-derived neurons, were proven to be bona fide models by morphological analysis, RT-PCR, RT-qPCR, immunofluorescence, embryoid body assay, molecular karyotyping and dopamine level quantification. A total of six donors were selected for HiPSC and dopaminergic neuron generation: 3 adult ADHD PARK2 CNV risk carriers (1 duplication and 2 deletion carriers, 1 ADHD non-risk CNV variant carrier and 2 healthy controls).
We conducted stress-response experiments (nutrient deprivation and CCCP administration) that are well known to increase PARK2 expression, on both fibroblasts and HiPSC. After assessing PARK2 gene and protein expression levels, we evaluated the gene expression of genes that are involved with different processes orchestrated by PARK2. We then performed a series of assays with a special focus on mitochondrial function and energy metabolism (ATP production, basal oxygen consumption rates, ROS abundance) and evaluated changing in the mitochondrial network morphology.
To evaluate the effect of nicotine exposure, one of the best replicated prenatal risk factors for having a child later on diagnosed with ADHD, we treated HiPSC-derived dopaminergic neurons with smoking-relevant nicotine concentrations and evaluated PARK2 protein expression after treatment and gene expression by RNA sequencing.
RESULTS: The cell models created in this study passed all the characterization tests required to assess whether the lines can be considered bona fide models without underling genotype differences. The evaluation of patho-phenotypes connected with ADHD/PARK2 CNVs in HDF and HIPSC showed that, although PARK2 gene expression was unchanged, ADHD/PARK2 CNV carriers show different PARK2 protein levels possibly implying the presence of different post-transcriptional processes. ADHD/PARK2 CNV carriers show lower levels of ATP production and basal oxygen consumption rates compared to controls, a result in line with what was already reported in ADHD cybrids cells model (Verma et al., 2016). Our experiments indicate that both the amount of reactive oxygen species (ROS) and the mitochondrial network morphology is influenced by the treatment but not by the genotype. The evaluation of nicotine effects on HiPSC-derived dopaminergic neuron from aADHD patients showed no effects on PARK2 protein levels and gene expression. ADHD/PARK2 CNVs carriers show gene ontology enrichment in modules connected with the regulation of cell growth after nicotine acute treatment. Additionally, genes connected with energy production & oxidative stress response and extracellular matrix & cell adhesion were significantly differentially expressed after nicotine treatments.
CONCLUSIONS: This study points out the presence of impairment of mitochondrial energetics in cellular models derived from adult ADHD patients carrying rare CNVs within the PARK2 locus. In the last years, several studies have linked mitochondrial impairments to the etiology of psychiatric and neurodevelopmental disorders (McCann & Ross, 2018) and reported an overall increase of oxidative stress or insufficient response to oxidative damage both in children and adults with ADHD (Joseph, Zhang-James, Perl, & Faraone, 2015; Lopresti, 2015). Additionally, different groups have underlined an abnormal brain connectivity in ADHD patients in their work (Gehricke et al., 2017). Our preliminary investigation of the effects of a well-known prenatal risk factor for ADHD, nicotine gestation exposure, point out a susceptibility of the PARK2 CNVs carriers in processes involved in regulation of cell growth and in proteins connected with extracellular matrix composition and cell-adhesion molecules, all factors necessary for neuronal maturation and formation of proper neural connections (Washbourne et al., 2004). In conclusion, this study presents novel and fully validated cellular model systems to study the etiopathogenesis of ADHD based on rare CNVs in the PARK2 locus. Moreover, the identification of disease-relevant phenotypes in the model might be helpful in the future for testing new alternative medications.
The ubiquitin-related SUMO system represents a versatile post-translational modification pathway controlling a variety of cellular signalling networks. In mammalian cells, lysine residues of target proteins can be covalently modified with three SUMO isoforms (SUMO1, SUMO2 and SUMO3) resulting in conjugation of either single SUMO moieties or formation of poly-SUMO chains. Importantly, SUMO modification is a reversible process, where the deconjugation of SUMO from its substrates is mediated by SUMO proteases. In humans, the best-characterized subfamily is the SENP family of SUMO-specific isopeptidases comprised of SENP1-3 and SENP5-7. For undisturbed cellular signalling events, a proper balance of SUMO conjugation and deconjugation is crucial. SENPs fulfil the important function of counteracting SUMOylation. A key question is how the relatively low number of SENPs specifically controls the SUMOylation status of hundreds of cellular proteins.
The aim of this thesis was to uncover the regulation and substrate specificity of distinct SUMO isopeptidases in order to better understand their role in cellular signalling pathways.
In the first part of this work, we investigated the influence of hypoxia on SUMO signalling, in particular on the activity of SENPs. Importantly, we found that the catalytic activity of distinct SENPs (especially SENP1 and SENP3) is strongly but reversibly diminished under low oxygen. As a consequence, the SUMO modification of a specific subset of proteins is changed under hypoxia. We specifically identified proteins being hyperSUMOylated after 24 hours of hypoxia by SUMO1 immunoprecipitation followed by mass spectrometry. We further validated the transcriptional co-repressor BHLHE40 as hypoxic SUMO target and confirmed SENP1 as responsible isopeptidase for deconjugation of SUMOylated BHLHE40. We provide evidence that SUMO conjugation to BHLHE40 enhances its repressive functions on the expression of the metabolic master regulator PGC-1α. Therefore we propose a model where inactivation of SENP1 under hypoxia results in SUMOylated BHLHE40, possibly contributing to metabolic reprogramming under hypoxia.
To get insight into substrate selectivity of SENP family members, in particular SENP3 and SENP6, we choose a proteomic profiling strategy. For the identification of specific SUMO substrates controlled by SENP3, we applied a large-scale IP-MS approach in SENP3 KO and WT cells. The most strongly induced SUMO targets in the absence of SENP3 were key regulators of ribosome maturation. We identified factors involved in the remodelling of both 90S and 60S pre-ribosomes. SENP3 has already been described as being critically involved in maturation of the pre-60S subunit and 28S rRNA processing. Previously described SENP3-regulated master targets in this process are the ribosome maturation factors PELP1 and Las1L. Importantly, both were also identified as the most significantly regulated SENP3 targets in our unbiased proteomic approach. Importantly, however, enhanced SUMOylation was also detected on 90S-associated regulators, such as BMS1. Altogether, these data strengthen the functional link between SENP3 and ribosome biogenesis and point to a role of SENP3 beyond 60S maturation.
In addition to SENP3, we explored the substrate specificity of SENP6, which mainly acts on polymeric SUMO2/3 chains. Applying a proteomic profiling strategy, we were able to identify SENP6-controlled SUMO networks functioning in DNA damage response as well as chromatin organization. We demonstrated that SENP6 reverses polySUMOylation of several subunits of the cohesin complex, thereby regulating the SUMOylation status and chromatin association of this complex. Furthermore, we found a tight interaction of SENP6 with the hPSO4/PRP19 complex, involved in DNA damage response by activation of the ATR-CHK1 signalling cascade. In cells depleted of SENP6, we observe deficient recruitment of the co-activator ATRIP to chromatin which results in diminished CHK1 activation. We therefore illustrate a general role of SENP6 in the control of chromatin-associated protein networks involved in genome integrity and chromatin organization.
The work of this thesis focuses on the targeting of G-quadruplexes (G4s), wherein several specific and potential ligands were designed, synthesized and characterized for its structural and biological activity. G4s are nucleic acid secondary structures that may form in single-stranded guanine (G)-rich sequences under physiological conditions. Four Guanines (Gs) bind via Hoogsteen-type hydrogen bonds base pairing to yield G-quartets, which in turn stack on top of each other to form the G4. G4s are highly polymorphic, both in terms of strand stoichiometry (forming both inter and intramolecular structures) and strand orientation/topology. The presence of K+ cations specifically supports G4 formation and stability. In the human genome G4 DNA motifs have been found in telomeres, G-rich micro and mini-satellites, up-stream to oncogene promoters and within the ribosomal DNA (rDNA). Human G4 DNA motifs are over-expressed in recombinogenic regions, which are associated with genomic damage in cancer cells.
In the present work, we focus on lead identification with specificity towards the c-MYC promoter G4s. Drug discovery is a highly time consuming and costly process. Lead identification and development are key steps in the drug discovery program. Studies have suggested that a large number of commercially available drugs exhibit deep structural similarity to the lead compounds from which they were developed. Quality lead identification in terms of compounds with high potency and selectivity, favorable physicochemical parameters and in vitro Absorption Distribution Metabolism and Excretion (ADME) parameters are the foremost requirements for the success of the drug discovery process. We herein describe the fragment-based drug design approach for the development of pyrrolidine-substituted 5-nitroindole derivatives as a new class of G4 ligands that exhibit high affinity and selectivity for the c-MYC promoter G-quadruplex. This chapter focuses on the methodology explored whilst finding a suitable hit and its optimization with fragment expansion strategies which undergo efficient G4 binding.
To target G4 DNA, screenings of numerous heterocycles have been reported including indoles, 7-azaindoles, 1H-indazol-3-yl, benzothiazole, imidazo[1,5-a]pyridine, 2,6- diaminopyrimidin-4-ol, 1H-pyrazolo[4,3 d]pyrimidin-7-amine, morpholino, bis-indoles, 2-hydroxynaphthalene-1,4-dione, 1,4-dihydroxyanthracene-9,10-dione, benzofuran and piperonal derived from several alkaloids. In this part of the thesis, we set out to identify new binders targeting the c-MYC G-quadruplex starting from the indole fragment. Several synthetic strategies are reported to optimize and generate best hits starting from 5-nitro indole derivatives by introducing the secondary cationic linked pyrrolidine side chain. Interestingly, all improved versions of G4-indole fragments 5, 7 and 12 contain this 5-nitro functionality, which may aid in the electrostatic binding and contributes to hydrogen binding interactions of the ligands to G4 DNA. In-silico drug design, biological and biophysical analyses illustrated that the substituted 5-nitro indoles scaffolds show preferential affinity towards the c-MYC promoter G-quadruplex compared to other G-quadruplexes and double stranded DNA. In vitro cellular studies confirm that the substituted indole scaffolds downregulate c-MYC expression in cancer cells and have the potential to induce cell cycle arrest in the G0/G1 phase. NMR analysis suggests that 5, 7, and 12 interacts in a fast exchange regime with the terminal G-quartets (5’ and 3’end) in a 2:1 stoichiometry.
To further optimize the fragment generated in chapter II, a novel series of triazole linked indole derivatives as a potential G quadruplex stabilizers have been described in chapter III. The potential ligands can be obtained through an efficient, convergent, synthetic route in moderate to good yields. The synthesized triazole linked indole derivatives are selective towards c- MYC G4-DNA vs. duplex-DNA. The planarity of the aromatic core and its ability to occupy more surface area by stacking over the G4 greatly affect the ability of the compounds to stabilize the G4. Further biophysical and biological studies revealed that the triazole linked nitro indoles are more promising than the amino indole derivatives.
Additionally, the importance of the nitro functional group has been justified by molecular docking studies, where hydrogen-bonding interactions were observed in between the nitro group and the G4 base pairs of the G-quadruplex. In biological findings, most of the synthesized triazole linked nitro indoles has found to be effective against human carcinoma (cervical) HeLa cell lines. Furthermore, western blot and cell cycle analysis confirms that the novel triazole linked 5-nitro indole derivatives (9b) could down-regulate c-MYC oncogene expression in cancer cells via stabilizing its promoter quadruplex structure, arresting cell cycle in G0/G1 phase. NMR analysis suggests that 9b interacts in slow exchange regime with the terminal G-quartets (5’ and 3’-end).
In chapter IV of the thesis, we have developed the synthetic strategies to generate more potent G4 ligands via Knoevenagel condensation. To investigate novel and selective G4 ligands for cancer chemotherapy, we designed and synthesized a series of azaindolin-2-one derivatives (11, 14, 15, 16 and 22) by attaching cationic pyrrolidine side chains and introducing a fluorine atom into the aromatic chromophore (Fig. 3). Fluorine atoms, with high electronegativity and small size, often exhibit unique properties in functional molecules. The electron-withdrawing effect of fluorine could reduce the electron density of the aromatic chromophore, which might favor a stronger interaction with the electron-rich π-system of the G-quartet. In addition, the introduction of fluorine atoms into small molecules might improve lipophilicity and thus the bioavailability. Fluorescent indicator displacement assay (FID) assays suggests that the synthesized azaindolin-2-one derivatives are selective towards c-MYC G4-DNA vs. duplex-DNA and showed potent anticancer activity against human carcinoma (cervical) HeLa cell lines. They down-regulate c-MYC expression in cancer cells via stabilizing its promoter quadruplex structure, arresting cell cycle in G0/G1 phase. Furthermore, NMR spectroscopy suggests that azaindolin-2-one conjugate interacts with terminal G-quartets as well as with the nearby G-rich tract (G13-G14-G15 and G8-G9-G10) of c-MYC quadruplex in intermediate exchange regime.
Malaria is an environmental disease, influenced not only by physical and biological environmental factors but also by socio-cultural ones. These factors affect each other, and, in turn, cause the disease in endemic areas. Some factors that cause the high morbidity rate associated with the disease include climate change, physical environment that varies geographically, socio-economic circumstances, and human behaviour in the affected areas. Other risk factors include housing conditions and poor sanitation, lack of hygiene practices, and inadequate health services in endemic areas. Efforts to eliminate malaria have been a topic at various public health meetings for decades. However, in Indonesia, malaria continues to be one of the leading causes of morbidity and mortality. The research aimed to analyse and model the critical variables associated with malaria in endemic areas of Indonesia. So, this included relationships between malaria and both socio-demographic variables and physical environments. The research is in three parts, adding value to a model that determines malaria in Indonesia.
This dissertation follows a cross-sectional design survey. The research data in this PhD dissertation is drawn from four sources: routine reporting of malaria from provincial health departments in South Sumatra; the national basic health research data (IDN acronym: Riskesdas); climate data from the Meteorology, Climatology, and Geophysics Climatological Agency (IDN acronym: BMKG); spatial data from Geospatial Information Agency (IDN acronym: BIG). This study takes a holistic approach, integrating the following univariate, bivariate, and multivariable logistic regressions, to establish a modelling determinant of malaria. Additionally, the researchers compared the performance of both Geographically Weighted Regression (GWR) and Ordinary Least Square (OLS). It also used some statistical analysis software tools for data processing, analysis, visualisation, and the development of the model as follows: Statistical Package for the Social Sciences (SPSS), Stata, Aeronautical Reconnaissance Coverage Geographic Information System (ArcGIS) 10.3, and GWR 4.0 version 4.0.90 for Windows.
The prevalence of malaria varied according to the local area, which, in turn, was related to the local physical environment that varied geographically. The determinants for malaria cases varied locally and regionally as well. Rural areas with a high percentage of households keeping livestock/pets showed a higher proportion of malaria prevalence than the national average. Other socio-demographic risk factors included gender, age, occupation, knowledge about healthcare, protection against mosquito bites, and condition of dwellings. This study reveals that the independent variables - "rainfall", "altitude", and "distance from mosquito resting sites in the forest," in global OLS analysis- are significantly associated with malaria cases in South Sumatra, Indonesia.
On the other hand, in the GWR analysis, the determinants of malaria cases at the village level vary geographically. Therefore, it is essential for the decision maker, the government, to acquire a more in-depth understanding of region-specific, ecological factors that influence confirmed malaria cases. The findings lead to the recommendation for developing sustainable regional malaria control programs and incentivising malaria elimination efforts, particularly at the village level. In another setting, the research led to the conclusion that the presence of mid-sized livestock comprised a significant risk factor for contracting malaria in rural Indonesia. The recommendation, especially for the study area, is to employ integrated vector management (IVM), for example, the simultaneous implementation of insecticide-treated bed nets (ITNs) and insecticide-treated livestock (ITL). Other factors such as socio-demographic and use of health care facilities were also crucial as they related to malaria prevalence. Further, the research leads to the recommendation for increased education and increased promotion and utilisation of the health care framework to promote knowledge and awareness of villagers on how to protect themselves from Anopheles bites. Finally, improving information concerning the availability of health care services and access to various health facilities in endemic areas is essential.
Programmable hardware in the form of FPGAs found its place in various high energy physics experiments over the past few decades. These devices provide highly parallel and fully configurable data transport, data formatting, and data processing capabilities with custom interfaces, even in rigid or constrained environments. Additionally, FPGA functionalities and the number of their logic resources have grown exponentially in the last few years, making FPGAs more and more suitable for complex data processing tasks. ALICE is one of the four main experiments at the LHC and specialized in the study of heavy-ion collisions. The readout chain of the ALICE detectors makes use of FPGAs at various places. The Read-Out Receiver Cards (RORCs) are one example of FPGA-based readout hardware, building the interface between the custom detector electronics and the commercial server nodes in the data processing clusters of the Data Acquisition (DAQ) system as well as the High Level Trigger (HLT). These boards are implemented as server plug-in cards with serial optical links towards the detectors. Experimental data is received via more than 500 optical links, already partly pre-processed in the FPGAs, and pushed towards the host machines. Computer clusters consisting of a few hundred nodes collect, aggregate, compress, reconstruct, and prepare the experimental data for permanent storage and later analysis. With the end of the first LHC run period in 2012 and the start of Run 2 in 2015, the DAQ and HLT systems were renewed and several detector components were upgraded for higher data rates and event rates. Increased detector link rates and obsolete host interfaces rendered it impossible to reuse the previous RORCs in Run 2.
This thesis describes the development, integration, and maintenance of the next generation of RORCs for ALICE in Run 2. A custom hardware platform, initially developed as a joint effort between the ALICE DAQ and HLT groups in the course of this work, found its place in the Run 2 readout systems of the ALICE and ATLAS experiments. The hardware fulfills all experiment requirements, matches its target performance, and has been running stable in the production systems since the start of Run 2. Firmware and software developments for the hardware evaluation, the design of the board, the mass production hardware tests, as well as the operation of the final board in the HLT, were carried out as part of this work. 74 boards were integrated into the HLT hardware and software infrastructure, with various firmware and software developments, to provide the main experimental data input and output interface of the HLT for Run 2. The hardware cluster finder, an FPGA-based data pre-processing core from the previous generation of RORCs, was ported to the new hardware. It has been improved and extended to meet the experimental requirements throughout Run 2. The throughput of this firmware component could be doubled and the algorithm extended, providing an improved noise rejection and an increased overall mean data compression ratio compared to its previous implementation. The hardware cluster finder forms a crucial component in the HLT data reconstruction and compression scheme with a processing performance of one board equivalent to around ten server nodes for comparable processing steps in software.
The work on the firmware development, especially on the hardware cluster finder, once more demonstrated that developing and maintaining data processing algorithms with the common low-level hardware description methods is tedious and time-consuming. Therefore, a high-level synthesis (HLS) hardware description method applying dataflow computing at an algorithmic level to FPGAs was evaluated in this context. The hardware cluster finder served as an example of a typical data processing algorithm in a high energy physics readout application. The existing and highly optimized low-level implementation provided a reference for comparisons in terms of throughput and resource usage. The cluster finder algorithm could be implemented in the dataflow description with comparably little effort, providing fast development cycles, compact code and at, the same time, simplified extension and maintenance options. The performance results in terms of throughput and resource usage are comparable to the manual implementation. The dataflow environment proved to be highly valuable for design space explorations. An integration of the dataflow description into the HLT firmware and software infrastructure could be demonstrated as a proof of concept. A high-level hardware description could ease both the design space exploration, the initial development, the maintenance, and the extension of hardware algorithms for high energy physics readout applications.
The fact that the interaction of oligonucleotides follows strict rules has been utilized to create two- or three-dimensional objects made of DNA. With computer-assisted design of DNA sequences, any arbitrary structure on the nanometer- to micrometer-scale can be generated just by hybridization of the needed strands. As astonishing these structures are, without any modification of the DNA strands involved no function can be assigned to them. Many different ways of functionalizing DNA-nanostructures have been developed with light-responsive nanostructures having a rather subordinated role. Almost all light responsive DNA-nanostructures involve the acyclic azobenzene-linking system tAzo based on D-threoninol which is known to work best at elevated temperatures to ensure optimal switching. As the structure of DNA-constructs is mainly maintained by hydrogen-bonding, variation of the temperature should be avoided in order to keep the structure intact.
To develop a light-responsive nanostructure model system with low-temperature operating azobenzene C-nucleosides, DNA-minicircles have been utilized. Those minicircles bear a lariat-like protrusion with a 10 base long single-stranded overhang, which is responsible for the dimerization with a ring bearing a complementary binding region. DNA-minicircles have been produced in a sequential manner by building and purifying the single stranded minicircle first by splint ligation and prepratative PAGE or RP-HPLC, followed by annealing it to the outer ring and subsequent purification by molecular-weight cut-off. Imaging of DNA-minicircles by atomic force microscopy (AFM) was possible with several methods of sample preparation leading to images of varying quality. With the help of AFM, qualitative analysis of the minicircles was possible. It could be shown, that theoretical and empirical size dimensions of the rings and their interactions were in great accordance. Designing the interaction site of the minicircles proved to be the main task in this project. The amount of C-nucleosidic modifications was identified by screening, followed by a screening of their optimal position and binding partners in the counterstrand. Two azobenzene C-nucleosides in a 10mer binding region and abasic sites opposing them appeared to give the best compromise between absolute dimerization ratio and photocontrolled change of it, as identified by native PAGE. In the following, the dimerization ratios of minicircles containing azobenzene C-nucleosides were compared with minicircles containing tAzo and unmodified minicircles. It could be shown, that the tAzo-modification leads to an elevated binding affinity compared to the unmodified minicircles, but the change upon irradiation is relatively humble compared to the C-nucleosides. For the C-nucleosidic modifications dimerization ratios reached a maximum of 40% in favored trans-state, but could be almost completely turned-off when switching into cis-state. In addition, arylazopyrazole-modified C-nucleosides could be switched into trans-state by irradiating at 530 nm, which is an improvement compared to standard azobenzene, as it shifts irradiation wavelength closer to the phototherapeutic window.
The utilization of DNA-analogous C-nucleosides bring two drawbacks with them: the ribose units include the flexibility of the sugar conformation and it is reasonable to think, that upon isomerization of the azobenzene, part of the steric stress generated is compensated by the sugar reconfiguration, which is lost for duplex
destabilization. In addition, the combination of the ribosidic linker end the end-to-end distance of trans-azobenzene causes the chromophore to penetrate deep into the base stack of the opposing strand, causing a serious destabilization even in favored trans-state. The goal was to find a linker system, that combines the benefits of the azobenzene C-nucleoside without the possibility to change sugar conformation and the strong destabilization in the trans-state. For this reason locked azobenzene C-nucleosides in analogy to LNA nucleosides have been synthesized. The synthesis of LNA analogous azobenzene C-nucleosides (LNAzo) was possible over a 16-step synthesis, with the critical step being the addition of in situ lithiated azobenzene to protected sugar aldehyde. Both anomers of LNAzo and mAzo as reference where incorporated into different oligonucleotide test systems by solid phase synthesis for thorough evaluation. It could be shown, that LNAzo β has a similar performance to mAzo in DNA with overall slightly increased TM- and ΔTM-values. Performance of LNAzo β was similar to mAzo even if steric stress is reduced by using abasic sites in the counterstrand opposing the azobenzene. Only in a RNA context, the true potential of LNAzo β could be observed. In a DNA/RNA duplex, photocontrol could be improved by almost 50%, in a RNA/RNA duplex even by over 100%. Although the primary goal was the improvement of the azobenzene C-nucleoside for a DNA-nanostructure context, LNAzo β proved not to give a sufficient improvement in regard to the cost-value ratio. Never the less, the invention of the locked azobenzene C-nucleoside was a huge success for reversible photoregulation of RNA hybridization. With this, a new way to regulate RNA hybridization has been found, which could be used to create RNA therapeutics in an antisense-approach.
As LNAzo β improved duplex stability only in a limited amount in DNA, further improvements on the backbone have been declared futile and focus shifted onto optimization of the chromophore. First, the azobenzene as it is installed on the ribosidic linker decreases duplex stability by forcing its distal aromat deep into opposing base stacking region. It would be an improvement, if in favored trans-state the distal aromat would be positioned in the less confined space of either major or minor groove and only upon isomerization would shift into base pairing region. Second, the azobenzene itself is not able to contribute to attractive interactions aside from relatively weak π-interactions to adjacent nucleobases, which could be improved, if it could partake in hydrogen bonding. For those apparent reasons, 2-phenyldiazenyl-modified purines have been selected as targets. They combine the ability to contribute to hydrogen bonding of nucleobases with the photochomicity of azobenzenes. Both 2’-deoxyadenosine- and 2’-deoxyguanosine-analogue photoswitches dAAzo and dGAzo have been synthesized and incorporated into 10mer DNA test systems by solid phase synthesis. It could be shown, that duplex stability could be increased compared to established azobenzene C-nucleoside. The improvement was stronger for dAAzo than for dGAzo as in the case for guanosine the amino function on the C2-position had to be replaced by the phenyldiazenyl function, reducing its ability to form hydrogen bonds. Unfortunately, photocontrol of duplex stability caused by 2-phenyldiazenyl purines was rather limited. A reason for this could be the positioning of the distal aromat within the duplex, which can be close to the opposing nucleobase (endo-helical) or in greater distance (exo-helical). The exo-helical conformation of the trans-isomer can only switch to the exo-P-cis-conformation, which relocates the distal aromat in the minor groove, without significant impact on duplex stability.
Der Urknall vor ungefähr 13.8 Milliarden Jahren markiert die Entstehung des Universums. Die gesamte Energie und Materie war in einem Punkt konzentriert und expandiert seitdem kontinuierlich. Wenige Sekundenbruchteile nach dem Urknall war die Temperatur und Dichte dieser Materie extrem hoch und die erschaffenen Elementarteilchen, speziell Quarks und Gluonen, durchliefen einen Zustand den man als Quark-Gluon-Plasma (QGP) bezeichnet und innerhalb dessen die starke Wechselwirkung dominiert. Innerhalb dieses Plasmas können Quarks und Gluonen, welche sonst in Hadronen gebunden sind, sich frei bewegen. Die direkte Beobachtung des frühzeitlichen QGPs ist mit heutigen Mitteln nicht möglich. Allerdings ist es möglich die Dynamik und Kinematik innerhalb eines künstlich erzeugten QGPs zu erforschen und damit Rückschlüsse auf die Vorgänge während des Urknalls zu machen.
Um künstliche QGPs unter kontrollierten Bedingungen zu erzeugen, werden heutzutage ultrarelativistische Schwerionen zur Kollision gebracht. Der stärkste je gebaute Schwerionenbeschleuniger LHC befindet sich am Kernforschungzentrum CERN in der Nähe von Genf. Das ALICE Experiment, als eines der vier großen Experimente am LHC, wurde speziell gebaut um das QGP näher zu untersuchen. Vollständig ionisierte Bleikerne werden mit nahezu Lichtgeschwindigkeit in den Experimenten zur Kollision gebracht. Die deponierte Energie lässt die Temperatur der Quarks und Gluonen innerhalb der kollidierenden Nukleonen ansteigen bis eine kritische Temperatur überschritten wird und ein Phasenübergang in das QGP erfolgt. Im Laufe der Kollision kühlt das Medium ab und gelangt unter die kritische Temperatur. Nun werden aus den ehemals freien Quarks Hadronen gebildet. Diese Hadronen oder Zerfallsprodukte dieser Hadronen können daraufhin in die Detektoren des Experiments fliegen und werden dann dort gemessen.
Es gibt mehrere mögliche Observablen des QGP, die messbar mit dem ALICE Experiment sind. Die Observablen, die in dieser Arbeit detailliert untersucht werden, sind die invariante Masse und der Paartransversalimpuls eines Dielektrons. Ein Dielektron besteht aus einem Elektron und einem Positron, welche miteinander korreliert sind. Dielektronen sind ideale Sonden zur Vermessung des QGPs. Sie werden durch verschiedene Prozesse während allen Kollisionsphasen produziert, wie beispielsweise bei den initialen, harten Stößen der kollidierenden Nukleonen oder durch den elektromagnetischen Zerfall verschiedener Hadronen wie π0 und J/ψ. Zusätzlich strahlt das QGP Dielektronen abhängig von seiner Temperatur ab. Theoretisch erlaubt dies die direkte Temperaturmessung des QGPs. Ein weiterer Vorteil der Dielektronenmessung gegenüber der Messung von Hadronen liegt darin, dass Elektronen und Positronen keine Farbladungen tragen und somit auch nicht mit der dominierenden starken Wechselwirkung innerhalb des QGPs interagieren und somit unbeeinflusst Informationen über seine Dynamik liefern können.
In dieser vorliegenden Arbeit werden Dielektronenspektren als Funktion der invarianten Masse und des Paartransversalimpulses in Blei-Blei-Kollisionen mit einer Schwerpunktsenergie von √sNN = 5.02 TeV gemessen. Das erste Mal in Schwerionenkollisionen konnte an einem der großen LHC Experimente der minimale Transversalimpuls der gemessenen Elektronen und Positronen auf peT > 0.2 GeV/c minimiert werden. Dies gibt im Vergleich zu der publizierten Messung mit peT > 0.4 GeV/c die Möglichkeit auch sogenannte weiche Prozesse zu messen, erhöht aber auch den Komplexit ätsgrad der Messung durch massiv gesteigerten Untergrund. Zusätzlich ist die Messung zentralitäsabhängig durchgeführt. Zentralität ist ein Maß für den Abstand der beiden Bleikerne zum Zeitpunkt der Kollision. Je zentraler eine Kollision, desto größer ist die deponierte Energie und desto größer und heißer ist das erzeugte QGP und die daraus resultierenden Effekte.
Die gemessenen Dielektronenverteilungen werden mit dem erwarteten Beiträgen aus hadronischen Zerfällen verglichen. Die Messung ergibt, dass der Beitrag aus semileptonischen Zerfällen von Charmquarks gemessen im Vakuum, welcher mit der Anzahl der binären Nukleon-Nukleon-Kollisionen in Blei-Blei-Ereignissen hochskaliert ist, nicht das Dielektronenspektrum beschreibt. Eine Modifizierung des Beitrag gemäß des unabhängig gemessenen nuklearen Modifikationsfaktors für einzelne Elektronen aus Charm- und Beautyquarks verbessert die Beschreibung des Dielektronenspektrums. Zusätzlich wurde der Beitrag virtueller direkter Photonen abgeschätzt. Die gemessenen Werte sind vergleichbar mit vorangegangenen Messungen bei einer niedrigeren Schwerpunktsenergie. Ebenso ist es möglich in periphären Kollisionen einen Beitrag durch eine Quelle zu vermessen, die Dielektronen bei niedrigem Transversalimpuls pT,ee < 0.15 GeV/c aussendet.
Die vorliegende Dissertation untersucht die Nichtgleichgewichtsdynamik von relativistischen Schwerionenkollisionen ausgehend von der anfänglichen Produktion von Teilchen durch den Zerfall von Strings, der Bildung eines Quark-Gluon-Plasmas (QGP), dessen kinetische und chemische Äquilibrierung als Funktion der Zeit sowie seine Transporteigenschaften im Gleichgewicht bei endlicher Temperatur und endlichem chemischen Potential. Ein Verständnis der frühen Phase der Schwerionenkollisionen ist insbesondere von großen Interesse, da letztere eine Verbindung zwischen den ersten Nukleon-Nukleon Kollisionen und der Quark-Gluon-Plasma Phase herstellen, die zu einem späteren Zeitpunkt ein gewisses Maß an Thermalisierung zeigt. Allerdings können nur Nichtgleichgewichts-Theorien eine Verbindung zwischen dem anfänglichen QGP und seiner - zumindest partiellen - Thermalisierung herstellen. Um die Dynamik eines stark wechselwirkenden Mediums wie des Quark-Gluon-Plasmas zu beschreiben, reichen übliche Transportgleichungen (basierend auf der Boltzmann-Gleichung) nicht aus und es müssen komplexere Theorien, die auch für stark korrelierte Medien geeignet sind, angewendet werden. Hier kommen hydrodynamische Simulationen oder Transportrechnungen - basierend auf verallgemeinerten Transportgleichungen - zum Einsatz. Solche verallgemeinerte Transportgleichungen, wie die Kadanoff-Baym-Gleichungen, ergeben sich aus der quantenmechanischen Nichtgleichgewichts-Vielteilchentheorie, in der Green’s- Funktionen in Minkowski Raum-Zeit die interessierenden Größen sind, um die Dynamik des betrachteten Mediums zu beschreiben. Mit geeigneten Näherungen kann man so kinetische Transportgleichungen erhalten, die eine einheitliche Behandlung von stabilen und instabilen Teilchen auch außerhalb des Gleichgewichts ermöglichen. Diese Bestandteile bilden die Basis des Transportmodells Parton-Hadron-String Dynamics (PHSD), welches daher ein geeignetes ’Instrument’ ist um die verschiedenen Phasen einer Schwerionenkollision zu analysieren, egal ob die verschiedenen Formen der Materie im Gleichgewicht sind oder nicht.
In dieser Arbeit wird zunächst die Quantenchromodynamik (QCD) vorgestellt und erklärt, wie diese Theorie im Laufe der Jahre entwickelt wurde um ein wichtiger Bestandteil des Standardmodells der Teilchenphysik zu werden. Wir werden weiterhin die verbleibenden Herausforderungen in unserem Verständnis der QCD vorstellen, die sich primär auf das Phasendiagramm der stark wechselwirkenden Materie konzentrieren.
Im zweiten Kapitel untersuchen wir die Nichtgleichgewichts-Feldtheorie und die damit verbundenen Techniken - wie die Keldysh-Kontur - zur Beschreibung der Green’schen Funktionen als wesentlichen Freiheitsgrade. Wir leiten die Evolutionsgleichung für die Green’schen Funktionen her, d. h. die Kadanoff Baym-Gleichungen am Beispiel einer skalaren Feldtheorie.
Im nächsten Kapitel wird das Transportmodell Parton-Hadron-String Dynamics (PHSD), welches die Anwendung der verallgemeinerten Transportgleichungen zur Beschreibung relativistischer Schwerionenkollisionen darstellt, vorgestellt.
Wir beginnen im Kapitel 4 mit der Untersuchung der Nichtgleichgewichtseigenschaften des Quark-Gluon-Plasmas, welches bei relativistischen Schwerionenkollisionen erzeugt wird. Zu diesem Zweck vergleichen wir die Quark-Gluon-Plasmaentwicklung aus dem PHSD mit einem viskosen hydrodynamischen Modell, bei dem ein lokales kinetisches und chemisches Gleichgewicht angenommen wird.
Im Kapitel 5 konzentrieren wir uns auf das frühe Vorgleichgewichtsstadium ultra-relativistischer Schwerionenkollisionen und insbesondere auf die Freiheitsgrade der QGP-Phase in diesem Stadium. Wir untersuchen die Auswirkungen eines QGP, welches anfänglich entweder aus einem System aus massiven Gluonen (Szenario I) oder alternativ aus Quarks und Antiquarks (Szenario II) besteht. Das nächste Kapitel wird ebenfalls die Produktion von Teilchen im Frühstadium von Schwerionenkollisionen behandeln, jedoch bei niedrigeren Kollisionsenergien. Hier wird eine mikroskopische Beschreibung des K+/pi+-Verhältnisses im Vordergrund stehen, d. h. die Erklärung des Maximums in diesem Verhältnis bei etwa 30 A GeV ("Horn") in zentralen Au+Au (oder Pb+Pb) Kollisionen. Insbesonders werden wir die Modifikation des String-Fragmentierungsprozesses (über den Schwinger-Mechanismus) in einer Umgebung mit hoher hadronischer Dichte aufgrund der teilweisen Wiederherstellung der chiralen Symmetrie untersuchen.
In Kapitel 7 erweitern wir das Parton-Hadron-String Dynamics (PHSD)-Transportmodell im partonischen Sektor, indem wir explizit die totalen und differentiellen partonischen Streuungsquerschnitte als Funktion der Temperatur T und des baryochemischen Potentials μB berechnen auf der Basis der effektiven Propagatoren und Kopplungen des Dynamical QuasiParticle Models (DQPM), welches auch die generelle Zeitentwicklung der partonischen Freiheitsgrade beschreibt. Wir finden nur eine sehr bescheidene Änderung von n/s mit dem baryonchemischen Potential μB in Abhängigkeit von der skalierten Temperatur T/Tc(μB). Dies gilt auch für eine Vielzahl von hadronischen Observablen aus zentralen A+A Kollisionen im Energiebereich von 5 GeV < vsNN < 200 GeV bei der Implementierung der differentiellen Querschnitte in das PHSD-Modell. Da wir in Schwerionen-Observablen nur kleine Spuren einer μB-Abhängigkeit finden - obwohl die effektiven Partonenmassen und Kollisionsbreiten sowie deren Partonenquerschnitte eindeutig von μB abhängen - impliziert dies, dass man eine beträchtliche Partonendichte und ein großes Raum-Zeit-QGP-Volumen zur Untersuchung der Dynamik in der partonischen Phase benötigt. Diese Bedingungen sind nur bei hohen Kollisionsenergien erfüllt, bei denen μB jedoch eher niedrig ist. Wenn andererseits die Kollisionsenergie verringert und somit μB erhöht wird, wird die hadronische Phase dominant und dementsprechend wird es zunehmend schwieriger, Signale aus der Partonendynamik auf der Basis von "Bulk"-Observablen zu extrahieren.
Cerebellar ataxias are a group of neurodegenerative disorders primarily affecting the cerebellum. Although causative mutations in several genes have been identified there is currently no cure for ataxias.
The first part of this dissertation is focused on Spinocerebellar ataxia type 2 (SCA2). SCA2 is a dominant ataxia caused by repeat expansion mutations in the ATXN2 gene, which encodes the protein Ataxin2 (ATXN2). A polyglutamine (polyQ) tract consisting of CAG repeats interrupted by CAA was identified at exon 1 of ATXN2. Healthy individuals have between 22 and 23 glutamines, while expansions longer than 33 CAG repeats cause SCA2. The most noticeable symptom that SCA2 patients show is ataxic gait; however, they also show cerebellar dysarthria, dysdiadochokinesia, and ocular dysmetria caused by the progressive cerebellar degeneration.
To model the SCA2 disease, we generated a new mouse model where 100 CAG repeats were introduced in the mouse Atxn2 gene via homologous recombination. The characterization of this mouse model, Atxn2-CAG100-KIN, demonstrated that it reproduces the symptomatology observed in SCA2 patients. These animals showed significant loss of weight over time, brain atrophy, and motor deficits.
In addition, ATXN2 intermediate expansions have been linked to the pathology of Amyotrophic lateral sclerosis (ALS) as a risk factor. ALS is a fatal neurodegenerative disease where the motor neurons in the brain and spinal cord degenerate. A hallmark of ALS is the presence of TDP43-positive inclusions in neurons and glia. Further studies of post mortem spinal cord samples from SCA2 patients showed severe and widespread neurodegeneration of the central somatosensory system. Therefore, it was of interest to further investigate the pathology affection of this tissue in the Atxn2-CAG100-KIN line and the relationship between ATXN2 and TDP43. The characterization of the spinal cord pathology via protein quantification, transcript quantification, and immunohistochemistry showed a preferential affection of RNA binding proteins (RBP) in the spinal cord rather than the cerebellum. The ALS-linked factors TDP43 and TIA1 showed time-dependent co-aggregation with ATXN2 in spinal cord sections together with an increase of CASP3 levels. Therefore, this mouse model can help develop new therapies and evaluate their effect in differently affected areas.
A transcriptome data set from Atxn2-CAG100-KIN spinal cord samples at the final disease stage of this mouse model showed a strong up-regulation of RNA toxicity-, immune- and lysosome-implicated factors. These data pointed to a pathological reactivation of the synaptic pruning and phagocytosis in microglia. ATXN2-positive aggregates were found in microglia from spinal cord sections of 14-month-old Atxn2-CAG100-KIN via immunohistochemistry. The characterization of microglial response and the potentially deleterious effects of the expanded ATXN2 in this cell type could lead to therapies to improve patients’ living standards or delay the symptoms’ onset.
The second part of this thesis was focused on an autosomal recessive form of cerebellar ataxia, Ataxia Telangiectasia (A-T), with childhood onset. A-T patients show severe cerebellar atrophy manifesting as ataxia when the child starts to walk. The genetic cause of A-T is loss-of-function-mutations in the Ataxia Telangiectasia Mutated gene (ATM). ATM is a kinase involved in DNA damage response, oxidative stress, insulin resistance, autophagy via mTOR signaling, and synaptic function.
Working with proteome data from cerebrospinal fluid of 12 A-T patients and 12 healthy controls, we aimed to define novel biomarkers that would allow following the neurodegeneration in extracellular fluid. Additional validation efforts with ~2-month-old Atm-knock-out (Atm-/-) cerebellar samples helped us to define a scenario were the deficit of vesicle-associated ATM alters the secretion of ApoB, reelin, and glutamate. As extracellular factors, apolipoproteins and their cargo such as vitamin E may be useful for neuroprotective interventions.
Biodiversity is threatened worldwide because of ongoing habitat loss and fragmentation, overexploitation, pollution, biological invasions and a changing global climate. Due to the major importance of biological diversity for modern human living, efficient conservation and management strategies are required to protect endangered habitats and species. For this purpose, ambitious multilateral agreements on regional and global scale were declared to prevent biodiversity loss.
Efficient biomonitoring methods are required to adequately implement these biodiversity conventions. Species monitoring as a core activity in biodiversity research is an effective tool to assess the status of species and trends within habitats. Data collection can be obtained with visual, electronic or genetic surveys. Still, these monitoring programs can be expensive, laborious and inefficient for accurate species assessments. New techniques based on environmental DNA (eDNA) allows for the detection of DNA traces in environmental samples (soil, sediment, water and air samples) and open up new possibilities for species monitoring. The eDNA methodology enables detection of single species in a qualitative (presence/absence) or (semi-) quantitative way. eDNA metabarcoding approaches can be an effective community structure assessment method.
This thesis, located at the interface between experimental and applied research, illustrates the suitability of the eDNA methodology in applied biomonitoring using the example of the water-borne crayfish plague pathogen Aphanomyces astaci (Schikora 1906). The obtained results provide new insights into A. astaci sporulation dynamics in natural water courses. A. astaci sporulation is influenced by seasonal variation of water temperatures and life history traits (molting, activity, mating) of infected crayfish. The results also imply a high transmission risk of A. astaci spores during the complete year. This thesis compares two eDNA methods, which are successfully and consistently detecting A. astaci spores. Each approach is suitable for different biomonitoring tasks due to the method-specific requirements. The obtained results also reveal spatial variation in A. astaci occurance in the tested water bodies. A. astaci spore estimates are positively correlated with population density and pathogen loads of captured A. astaci- positive crayfish. eDNA results show a downstream zoospore transport of up to three kilometres distance from a distribution hot spot area of A. astaci-infected crayfish. The eDNA methodology is helpful in gaining reliable information on A. astaci occurrence in large water bodies. This information is urgently needed to initiate efficient management decisions for the conservation of European crayfish species.
eDNA-based methods such as for A. astaci detection are a useful complement for conventional monitoring and should have a strong impact on conservation policy. eDNA methodology will be helpful for the practical implementation of the main aims of key conservation agreements and thus will make important contributions to biodiversity protection.
Cortical circuits exhibit highly dynamic and complex neural activity. Intriguingly, cortical activity exhibits consistently two key features across observed species and brain areas. First, individual neurons tend to be co-active in spatially localized domains forming orderly arranged, modular layouts with a typical spatial scale. Second, cortical elements are correlated in their activity over large distances reflecting long-range network interactions distributed over several millimeters. Currently, it is unclear how these two fundamental properties emerge in the early developing cortical activity.
Here, I aim to fill this gap by combining analyses of chronic imaging data and network models of developing cortical activity. Neural recordings of spontaneous and visually evoked activity in primary visual cortex of ferrets during their early cortical development were obtained using in vivo 2-photon and widefield epi-fluorescence calcium imaging. Spontaneous activity was used to probe the early state of cortical networks as its spatiotemporal organization is independent of a stimulus-imposed structure, and it is already present early in cortical development prior to reliably evoked responses. To assess the mature functional organization of distributed networks in cortex, the tuning of neural responses to stimulus features, in particular to the orientation of an edge-like stimulus, was assessed. Cortical responses to moving gratings of varying orientations form an orderly arranged layout of orientation domains extending over several millimeters.
To begin with, I showed that spontaneous activity correlations extend over several millimeters, supporting the assumption of using spontaneous activity to assess distributed networks in cortex.
Next, I asked how distributed networks in the mature visual cortex - assessed by spontaneous activity correlations - are related to its fine-scale functional organization. I found that the spatially extended and modular spontaneous correlation patterns accurately predict the fine spatial structure of visually evoked orientation domains several millimeters away. These results suggest a close relation between spontaneous correlations and visually evoked responses on a fine spatial scale and across large spatial distances.
As the principles governing the functional organization and development of distributed network interactions in the neocortex remain poorly understood, I next asked how long range correlated activity arises early in development. I found that key features of mature spontaneous activity introduced in this work, including long-range spontaneous correlations, were present already early in cortical development prior to the maturation of long-range, horizontal connections, and the predicted mature orientation preference layout. Even after silencing feed-forward input drive by inactivating retina or thalamus, long-range correlated and modular activity robustly emerged in early cortex. These results suggest that local recurrent connections in early cortical circuits can generate structured long-range network correlations that guide the formation of visually-evoked distributed functional networks.
To investigate how these large-scale cortical networks emerge prior to the maturation and elaboration of long-range horizontal connectivity, I examined a statistical network model describing an ensemble of spatially extended spontaneous activity patterns. I found a direct relationship between the dimensionality of this ensemble of activity patterns and the decay of its correlation structure. Specifically, reducing the dimensionality of the ensemble leads to an increase in the spatial range of the correlation structure.
To test whether this mechanism could generate a long-range correlation structure in cortical circuits, I studied a dynamical network model implementing a dimensionality reduction mechanism. Based on previous work demonstrating that network heterogeneity reduces the dimensionality of activity patterns, I showed that by increasing the degree of heterogeneity in the network, the dimensionality of the ensemble of activity patterns decreases and in turn their correlations extend over a greater range. A comparison to experimental data revealed a quantitative match between the network model and the observations in vivo in several of the key features of the early cortex including the spatial scale of correlations. Low dimensionality of spontaneous activity thus might provide an organizational principle explaining the observed long-range correlation structure in the early cortex.
Finally, I asked whether a network with a biologically plausible architecture can generate modular activity. Several classical models showed that modular activity patterns can emerge via an intracortical mechanism involving lateral inhibition. However, this assumption appears to be in conflict with current experimental evidence. Moreover, these network models were not experimentally tested, so far. Here, I showed by using linear stability analysis that spatially localized self-inhibition relaxes the constraints on the connectivity structure in a network model, such that biologically more plausible network motifs with shorter ranging inhibition than excitation can robustly generate modular activity.
Importantly, I also provided several model predictions to make the class of network models experimentally testable in view of recent technological advancements in imaging and manipulation of cortical circuits. A critical prediction of the model is the decrease in spacing of active domains when the total amount of inhibition increases. These results provide a novel mechanism of how cortical circuits with short-range inhibition can form modular activity.
Taken together, this thesis provides evidence that the two described fundamental features of neural activity are already present in the early cortex and shows that activity with those features can be generated in network models with an architecture consistent with the early cortex using basic principles.
Cardiovascular diseases are still regarded as the main cause of death in the modern world. However, the generic term "cardiovascular diseases" is not uniformly defined. It essentially describes diseases of the cardiovascular system and includes diseases such as hypertension, arteriosclerosis, myocardial infarctions, heart failure, coronary heart diseases, rheumatic heart diseases and heart valve defects. In addition to the well-known risk factors such as obesity, smoking, hypercholesterolemia and lack of exercise, age is a further risk factor that plays an important role in the development of cardiovascular diseases. As the modern societies age; this becomes an increasing problem.
But why does the prevalence of cardiovascular diseases increase with age? In gen-eral, age-dependent changes at the cellular level are assumed to be responsible for the pathological changes in the cardiac and vascular tissues. Important mechanisms such as autophagy, oxidative stress, mitochondrial dysfunctions, genomic instability, cellular senescence and disturbances in signaling pathways of growth factors play a decisive role. In old age, myocardial hypertrophy occurs, which results in cardiac wall thickening and an altered geometry of the ventricle. Chronic inflammations, paracrine and age-dependent cell-intrinsic factors further lead to activation of cardiac fibro-blasts with increase cell proliferation, collagen secretion and matrix cross-linking. The consequences are interstitial and perivascular fibrosis, which stiffen the heart and blood vessels. Oxidative stress and inflammations additionally attack the blood ves-sels and impair endothelial function, which is further aggravated by possible pre-existing conditions such as diabetes mellitus and hypertension.
In the past decades, the main focus has therefore been on researching these age-dependent changes in the hope of better understanding cardiovascular ageing and developing possible regenerative interventions. By studying the repair mechanisms of other organs such as the lungs and the bone marrow, the endothelium in particular showed a high regenerative capacity, which influences the proliferation and cell func-tion of the surrounding cells.
For a long time, the general opinion was that the endothelium is only the internal lin-ing of blood and lymphatic vessels, as well as the heart chambers, which as a single-layer barrier guarantees the integrity of the blood vessels. However, endothelial cells are very heterogeneous, depending on the type of blood vessel and the type of tis-sue they serve. In addition to their barrier function, endothelial cells also regulate the exchange of substances between blood and tissue, stimulate the formation of new blood vessels and re-model existing vascular networks. They are also able to re-structure the extracellular matrix that surrounds them. They release not only matrix proteins, but also cytokines and growth factors into the extracellular space. On de-mand, these factors are then released and stimulate angiogenesis or cell prolifera-tion. In addition, the secretion of various matrix proteins not only stabilizes the cellu-lar neighborhood, but also regulates various cell functions.
By modelling the endothelial environment - the so-called vascular niche - endothelial cells are able to communicate with the surrounding cells. As a result, a regenerative effect of the vascular niche has already been described in various organs. In the liv-er, for example, it has been shown that increased concentrations of endothelial Ang2 and decreased endothelial activin A after partial hepatectomy stimulate the prolifera-tion of hepatocytes and thus liver regeneration. In the bone marrow, endothelial cells mobilize stem cells via nitric oxide and in the lungs, endothelial MMP14 releases growth factors from the extracellular matrix, which stimulate epithelial cell prolifera-tion after partial pneumectomy. Whether such a regenerative effect of the vascular niche also plays a role in the heart is largely unknown.
Since both the regenerative capacity of the heart and endothelial function decrease with age, the aim of this dissertation was to investigate the role of the vascular niche and endothelial cell communication in the aged heart. Human cell lines as well as mouse and artificial rat models were used for these investigations. Since this thesis is a cumulative dissertation with partially published papers, it is divided into three parts.
In the first part of this thesis, the transcriptional signature of secretory genes in the aged cardiac endothelium was studied. Perfused endothelial cells from hearts of young (12-week-old animals) and old mice (20-month-old animals) were isolated and used for bulk RNA sequencing. The two matrix proteins laminin β1 and β2 were among the top-regulated genes. While laminin β2 was particularly expressed in the young cardiac endothelium, laminin β1 was predominantly found in the old endotheli-um. This change in laminin expression was confirmed histologically at protein level and its autocrine function was investigated in vitro. To mimic the in vivo situation in vitro, cell culture dishes were coated with human recombinant laminin 421 or laminin 411 and sutured with human endothelial cells from the umbilical vein (HUVEC). Di-verse functional investigations showed that endothelial cells migrated and adhered poorly in the presence of laminin 411, while in Matrigel tube formation assays HU-VEC formed reduced endothelial networks when cultured on LM 411.
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As central component of the peptide loading complex, the ABC transporter TAP is a key player in the adaptive immune response. By recognizing and translocating antigenic peptides derived from proteasomal degradation into the ER lumen it connects the processing of harmful intruders and the marking of an infected cell for elimination. This work focused mainly on the interaction between TAP and one of its viral inhibitors. Of the five known TAP inhibitors, ICP47 is the only one that is not anchored in the ER membrane and has a nonomolar affinity to TAP. These properties and its specific architecture make it an interesting protein engineering tool that can be used in a variety of ways to generate functionally arrested TAP complexes. Different lengths of ICP47 were chosen to map the optimal distance between the binding pocket and the N-terminal elbow helix of either TAP1 or TAP2. I demonstrated that the interaction of fused ICP47 with coreTAP inhibits antigen presentation via MHC I. Interestingly, the loss of MHC I surface expression only depended on the presence of the active domain and not on the length of the fused ICP47 fragments. Summarizing it can be said that TAP complexes containing an intact active domain of ICP47 successfully suppressed MHC I surface expression. Considering the MHC I surface expression in the use of free ICP47 fragments it was revealed that the active domain may not be sufficient. All free constructs, except the one that contains exclusively the active domain (1-35), were able to fully arrest peptide translocation, while the fragment 1-35 partially restored MHC I surface expression. This was the first evidence suggesting that more residues might be present in the ICP47 sequence that contribute to the interaction with TAP.
Further characterization of the ICP47-coreTAP fusion complexes comprised the determination of their thermostability and melting temperatures. The ICP47-coreTAP fusion complexes revealed a preferred orientation for ICP47. The ICP47(1-65) fragment led to a stable complex only if fused to TAP2, highlighting an interesting asymmetry at the TAP1/TAP2 interface, which suggests a shorter distance of the C-terminus of the stabilizing region to the elbow helix of TAP2 than of TAP1. The shorter fragments 1-35 and 1-50, and the ICP47 linker fragments, which inhibited, but did not trigger any thermostabilizing effects on TAP, revealed a second hint for the presence of other residues important for the ICP47/TAP interaction. To define the thermostability in more detail, the melting temperature of complexes with fused or freely bound ICP47 fragments was determined. Short fused fragments of ICP47 (residues 1-35 or 1-50) did not fully stabilize the TAP complex. Only ICP47 fragments longer than residues 1-50 raised the melting temperature to the full extent and led to a completely stabilized complex, suggesting that the critical melting temperature, which determines whether a complex is fully stabilized or not, is about 44-45°C. By comparing different ICP47 proteins from the herpesviral clade, I further noticed that the 21 residues following the active domain are highly conserved. The residues in this region were exchanged by glycines and alanines to study their impact on the thermostabilization of TAP. I demonstrated that several charged residues, an alanine rich, and a proline rich sequence were mainly responsible for the preservation of high melting temperatures. In summary, these findings reveal a dual inhibition mechanism of ICP47. While the active domain of ICP47 is wedged at the TAP1/2 interface and arrests the complex in an open-inward facing conformation, the highly conserved C-terminal region stabilizes the ICP47/TAP interaction and generates a thermostabilized TAP complex.
The second part of this thesis deals with two alternative expression and stabilization strategies for coreTAP, designed to provide a 1:1 ratio of TAP subunits during protein biosynthesis. Different glycine-serine (GS) linkers and a self cleaving 2A site were im- plemented into the TAP sequence and used for comparison with the classical coreTAP. Despite their functionality in antigen translocation, the utilization of GS linkers proved to be unsuitable due to low expression and scarce purification efficiency caused by the unfeasible orthogonal purification. In contrast, the use of a 2A site allowed orthogonal His10- and SBP-tag purification and yielded comparable amounts to the classical coreTAP. However, the ICP47/coreTAP interaction appeared to be hampered by the modified N-terminus of ICP47, due to the cleavage process.
The third and last part of this work deals with the Thermus thermophilus ABC trans- porter TmrAB, which was identified to be part of the same ABC subfamily as TAP. The structure of TmrAB is similar to that of coreTAP and includes a TMD and an NBD for each subunit. In comparison to TAP, TmrAB has a broader substrate range, but it can transport peptides, which are also transported by TAP. Since the natural substrate, and thus the actual function, of TmrAB has not yet been identified, it is counted among the multidrug resistance ABC transporters, from where it also takes its name. In this work, the question was investigated whether TmrAB can be utilized as a TAP substitute. To compare the function of TmrAB and TAP in a natural cell environment, the N-terminal domains of the TAP subunits called TMD0s were fused to the TmrAB subunits and subsequently expressed as different combinations. I found that especially the hybrid complexes containing a TMD0 of TAP2 were functional in terms of MHC I surface expression. Furthermore, TmrAB with TMD0 co-localized prevalently with the ER marker PDI while complexes without TMD0 did not co-localize. Interestingly, the analysis of the interaction with components of the PLC revealed that interaction with tapasin could only occur when a TMD0 was present. In turn, calreticulin, MHC I, and ERp57 were bound, regardless of the presence of a TMD0. It is remarkable that a bacterial protein, sharing only 27-30% sequence identity with human TAP is able to take over a key function of our adaptive immune system. Yet, TmrAB originates from a hyperthermophilic bacterium and may have assembly and folding difficulties that the human cell seeks to overcome by recruiting chaperones like calreticulin and ERp57. Although further experiments will be necessary to analyze the interaction of TmrAB with the PLC components in more detail, TmrAB appears to be homologous to coreTAP, not only in terms of sequence and structure, but also in terms of function.
Polyketide synthases (PKSs) are large megaenzymes that occur in bacteria, fungi, and plants and produce polyketides, a class of secondary metabolites. Many polyketide natural products exhibit high biological activities e.g. as antibiotics or anti-fungal compounds. The modular architecture of assembly line PKSs makes them exciting targets for engineering approaches via the exchange of whole modules or single domains. Although many engineering attempts have been pursued over the last three decades, the resulting chimeric PKSs often exhibit decreased turnover rates or diminished product yields.
In this thesis, new approaches to engineer chimeric PKSs were explored, each targeting a different aspect of the chimeric system: First the relative contribution of protein-protein and protein-substrate recognition on the turnover of chimeric PKS was assessed, revealing the importance of protein-protein interactions between the acyl carrier protein (ACP) and the ketosynthase (KS) domain in the chain translocation step. Directed evolution experiments followed to optimize the protein-protein interaction across a chimeric interface. Additionally, different junction sites for the generation of chimeric PKSs were compared, showing the ability for recombination without interfering with the chain translocation reaction, and highlighting the use of SYNZIP domains to bridge PKS modules. To optimize chimeric PKSs even further, multipoint mutagenesis of KS domains was established, with positive effects on the activity of chimeric systems.
To support engineering attempts, several structure elucidation techniques were combined with in silico modeling to characterize the architecture of a PKS module and the domain-domain interactions within it. Preliminary results show a strong conformational flexibility of the PKS module and the great potential of these techniques to define the multitude of transient interactions in PKS modules.
During the last decades mammalian intracranial structures like the ethmoidal region have rarely been a focus of morphological studies, as they required invasive techniques. Contrary, the ontogeny of the fetal nasal capsule could easily be investigated based on histological material. Since the early 21st century modern imaging techniques like high-resolution computed tomography (μCT) reveal non-destructive insights into the mammalian skull. Furthermore, visualization software enables the virtual reconstruction of the tissues and additionally their morphometric analyses. However, the use of morphometric approaches on the nasal cavity is still scarce. Moreover, the turbinal skeleton is generally regarded as a unit, or the rostral respiratory part is compared to the caudal olfactory part; but the distinct olfactory turbinals have been considered only in a few studies.
The present study focuses on the highly diverse facial shape of the dog (Canis lupus familiaris) that evolved during domestication. Due to human-controlled breeding and care the natural selective pressure in prehistoric dogs has been replaced continually by artificial selection. As a consequence, harmful mutations on gene loci which e.g., control facial length growth got fixed within an extremely short time. According to veterinarian studies the turbinals of short snouted breeds continue their growth after the elongation of the facial bones has stopped prematurely. However, such investigations are based on low-resolution CT or MRT data and the morphological descriptions are vague. Referring to the elongation of the face in dolichocephalic breeds no former study has dealt with the detailed morphology of their turbinal skeleton so far.
The current study is based on comparative anatomical, morphometric, morphofunctional, and ontogenetic patterns of the dog’s turbinal skeleton. The 32 macerated skulls and four histological serial sections represent eleven breeds which cover different snout lengths (brachycephalic, mesaticephalic, dolichocephalic; according to two length indices), functional groups (scent hound, sighthound, companion/toy), and breeding histories (ancient pure-breeding associated with an unchanged appearance, modern time fashion breeding). The nasal cavity of the selected skulls was μCT-scanned and virtual 3D models of the turbinal skeleton were reconstructed. The breeds have been compared with each other in their number of olfactory turbinals, in the morphology of all turbinals and the lamina semicircularis as well as in their morphometrics and ontogeny. Based on morphological and ontogenetic patterns a new terminology of the interturbinals was established. The morphometric data covers the measurement of the relative turbinal surface area (IAT) and the calculation of the surface density (SDEN) and the turbinal complexity (TC). For the latter parameter a new morphometric approach was developed. For the ontogenetic comparison histological serial sections of perinatal dog stages have been consulted. As the dog’s ancestor macerated skulls of three adult Eurasian wolves (Canis lupus lupus) function for outgroup comparison and represent the grundplan with which the breeds are compared.
The results support former studies concerning a species-specific number of the fronto- and ethmoturbinals: in the Eurasian wolf and all postnatal dogs under study three ethmoturbinals and three frontoturbinals are observed. Additionally, two types of interturbinals are distinguished, namely four prominent interturbinals which are present in nearly all individuals and show a homologous pattern, and a variable number of additional interturbinals which differ in their shape among the dogs. Generally, longer snouted breeds have more additional interturbinals, so the total number of olfactory turbinals is increased to a maximum of 16 in the borzoi, whereas several short snouted breeds have only nine olfactory turbinals due to the loss of additional interturbinals and one prominent interturbinal. Regarding ontogeny the growth of the respiratory and the olfactory turbinals and the lamina semicircularis is highly associated with the growth of the facial bones after birth. As the viscerocranium of brachycephalic breeds is subjected to a postnatal growth inhibition the ethmoidal region stops growing prematurely, too. The turbinals of both functional parts develop less accessory lamellae that results in the reduction of the three morphometric parameters IAT, SDEN, and TC. The increase of all these three parameters with increasing snout length proves a correlation between both variables in the maxilloturbinal, all olfactory turbinals, and the lamina semicircularis in the dog. With the help of the perinatal dog stages plesiomorphic patterns which are present in all adult specimens (e.g., separation of ethmoturbinal I into two laminae, the presence of the uncinate process) were distinguished from less established morphological traits which get preferably reduced in association with brachycephaly (e.g., the anterior process of the posterior lamina of ethmoturbinal I, the caudal processes of frontoturbinal 1 and 2 within the frontal sinus due to the latter’s reduction). Obviously, the driving mechanism behind these and further variations are mutations on gene loci which control ontogenetic processes: the in other studies already described postnatal growth inhibition in the dermal bones of the midface of brachycephalic breeds seems to have a similar effect on the ethmoidal region. The results of the present study serve as basis for the evaluation how far the bony turbinals’ morphology, morphometrics, and ontogeny might be associated with physiological, genetic, neurological, and phylogenetic patterns. Additionally, the growth patterns of the hard tissues need to be compared to those of the soft tissues (i.e. the nasal epithelium).
Humans and other primates are highly visual animals. Our daily visual activities such as recognizing familiar faces, interacting with objects, or reading, are supported by an extensive system of interacting brain areas. The interactions between the many individual nerve cells both within and between brain areas need to be coordinated. One possible solution to achieve flexible coordination between cells in the network is rhythmic activity, or oscillations. The focus of the thesis will be activity in the largest visual area, V1, in non-human primates. In V1, high-frequency activity, so-called gamma-band activity (“gamma”, ca. 30-90 Hz) can be frequently observed and has been suggested to play a role in coordinating activity in the visual system. In Chapter 1, the coordination problem, the primate visual system and gamma-band oscillations are introduced in detail. The following chapters explore the dependence of gamma on contextual influences. Does V1 use contextual information to optimize co-ordination? In the first part, the short-term consequences of repeated encounters with visual stimuli on V1 responses are explored (Chapters 2 and 3). Inspired by results from colored, naturalistic images in the first part, the second part tests the dependence of gamma on spatial and chromatic stimulus aspects (Chapters 4 and 5).
Stimulus repetition is a simple yet powerful way to tap into our brains’ ability to learn and adapt to our environment. Repeated presentation of a visual stimulus tends to decrease responses to this stimulus. Is this accompanied by changes in the coordination of brain activity? In Chapter 2, the stimulus-specificity of repetition effects on gamma was tested using naturalistic stimuli. V1 is most typically studied using black-and-white, artificial stimuli that are very familiar to the animals. Here, colored natural images were repeatedly presented that were initially novel to the animals, to provide a wider and more naturalistic range of stimulation. Both multi-unit spiking activity (MUA) and gamma showed stimulus-specific repetition effects. MUA responses de-creased most strongly for initial repetitions and less for later repetitions. In contrast, gamma could increase or decrease for initial repetitions, but tended to increase for later repetitions. This points to the operation of multiple plasticity mechanisms. One process may rapidly decrease MUA and gamma and be related to initial novelty or adaptation. The other increases gamma, is active for more repetitions, and could constitute a form of refinement of coordination over time. Moreover, based on the spacing of stimulus repetitions, stimulus memory in V1 persisted for tens of seconds.
In the following Chapter 3, the stimulus location specificity and persistence of the repetition effects for longer timescales were tested. To this end, the observation that the increase in gamma with repetition was strongest for the first tens of repetitions was used to test for location specificity and memory. Using simple artificial stimuli that were repeated many times at two alternating locations, both location specificity and memory on the order of minutes was observed. Due to the structure of the primate visual system, location specificity suggests that the repetition effects involve early to mid-level visual areas such as V1. Memory for previous stimulus presentations on the order of minutes has not been previously reported for V1 gamma. Taken together, these experiments demonstrate short-term plasticity of gamma that is stimulus- and location specific and persists on the timescale of minutes.
In Chapter 2, the average gamma-band response to the large, naturalistic stimuli was highly stimulus dependent. Relative increases in gamma-band activity scaled between tens and thousands of percent change depending on the stimulus. Particularly the color of the stimuli appeared to play a strong role, although the stimulus set was too limited and uncontrolled to draw strong conclusions. In Chapters 4 and 5, underlying mechanisms for the stimulus specificity of gamma were explored using more well-controlled, artificial stimuli that varied in color and spatial structure.
Much of vision relies on the analysis of spatial structure. Each nerve cell in V1 only responds to visual stimuli in a particular, small part of the visual field, its so-called “receptive field” (RF). Compared to isolated RF stimulation, nearby cells that are stimulated by a similar structure from different parts of visual space can show response decreases, commonly known as “surround suppression”, and may show coordinated activity in the gamma band. In Chapter 3, responses to large, uniformly colored disks are contrasted with responses to black or white (achromatic) disks. A first experiment showed that gamma-band responses were stronger for colored than achromatic stimuli, whereas MUA responses could decrease below baseline for colored stimuli. To test whether these phenomena were related to surround suppression, stimulus size was manipulated in a second experiment. When stimuli were of sufficient size to induce surround suppression, clear gamma-band responses emerged. Surround suppression and gamma were stronger for chromatic stimuli. However, the change of stimulus size could have changed not only surround suppression but also stimulus saliency. Therefore, in a third experiment, the overall size of the stimulus was kept constant, and the spatial structure of the stimulus was manipulated. In comparison to uniform, predictable stimulus structure, mismatches between the center of the stimulus and the surrounding visual space led to strong increases in MUA responses and strong de-creases in gamma-band activity. These effects were restricted to the recording sites with RFs at the mismatch location. These experiments underpin the strong role of both spatial structure and color for gamma in V1.
In Chapter 4, responses to different color hues are studied in more detail. Gamma response strength depended on hue, being strongest for red compared to blue and green stimuli when measured with a gray background. To better understand the underlying mechanisms of the differential responses, the spatio-temporal context in the form of the background color was manipulated. Background color had a strong influence on gamma strength. Using differently colored backgrounds, different parts of the color signaling pathways could be adapted. Response differences to different color hues could be explained well with a model that incorporates differences in adaptation between pathways involving long- compared to medium-wavelength cone signals.
Taken together, these experiments indicate a strong role of both spatial context (stimulus size and structure) and temporal context and drive (repetition, adaptation) for the generation of gamma-band activity in V1. Functional implications of these dependencies are considered in the final Chapter 6, and a role for gamma-band syn-chronization in a coding regime for visual inputs that generate strong drive and high predictability is suggested.
In this thesis, we presented the theoretical description of the magnetic properties of various frustrated spin systems. Especially in search of exotic states, such as quantum spin liquids, magnetically frustrated systems have been subject of intense research within the last four decades. Relating experimental observations in real materials with theoretical models that capture those exotic magnetic phenomena has been one of the great challenges within the field of magnetism in condensed matter.
In order to build such a bridge between experimental observations and theoretical models, we followed two complementary strategies in this thesis. One strategy was based on first principles methods that enable the theoretical prediction of electronic properties of real materials without further experimental input than the crystal structure. Based on these predictions, low-energy models that describe magnetic interactions can be extracted and, through further theoretical modelling, can be compared to experimental observations. The second strategy was to establish low-energy models through comparison of data from experiments, such as inelastic neutron scattering intensities, with calculated predictions based on a variety of plausible magnetic models guided by microscopic insights. Both approaches allow to relate theoretical magnetic models with real materials and may provide guidance for the design of new frustrated materials or the investigation of promising models related to exotic magnetic states.
The brain is a large complex system which is remarkably good at maintaining stability under a wide range of input patterns and intensities. In addition, such a stable dynamical state is able to sustain essential functions, including the encoding of information about the external environment and storing memories. In order to succeed in these challenging tasks, neural circuits rely on a variety of plasticity mechanisms that act as self-organizational rules and regulate their dynamics. Based on toy models of self-organized criticality, this stable state has been proposed to be a phase transition point, poised between distinct types of unhealthy dynamics, in what has become known as the critical brain hypothesis. It is not yet known, however, if and how self-organization could drive biological neural networks towards a critical state while maintaining or improving their learning and memory functions.
Here, we investigate the emergence of criticality signatures in the form of neuronal avalanches due to self-organizational plasticity rules in a recurrent neural network. We show that power-law distributions of events, widely observed in experiments, arise from a combination of biologically inspired synaptic and homeostatic plasticity but are highly dependent on the external drive. Additionally, we describe how learning abilities and fading memory emerge and are improved by the same self-organizational processes. We finally propose an application of these enhanced functions, focusing on sequence and simple language learning tasks.
Taken together, our results suggest that the same self-organizational processes can be responsible for improving the brain’s spatio-temporal learning abilities and memory capacity while also giving rise to criticality signatures under particular input conditions, thus proposing a novel link between such abilities and neuronal avalanches. Although criticality was not verified, the detailed study of self-organization towards critical dynamics further elucidates its potential emergence and functions in the brain.
The present thesis is primarily concerned with the application of the functional renormalization group (FRG) to spin systems. In the first part, we study the critical regime close to the Berezinskii-Kosterlitz-Thouless (BKT) transition in several systems. Our starting point is the dual-vortex representation of the two-dimensional XY model, which is obtained by applying a dual transformation to the Villain model. In order to deal with the integer-valued field corresponding to the dual vortices, we apply the lattice FRG formalism developed by Machado and Dupuis [Phys. Rev. E 82, 041128 (2010)]. Using a Litim regulator in momentum space with the initial condition of isolated lattice sites, we then recover the Kosterlitz-Thouless renormalization group equations for the rescaled vortex fugacity and the dimensionless temperature. In addition to our previously published approach based on the vertex expansion [Phys. Rev. E 96, 042107 (2017)], we also present an alternative derivation within the derivative expansion. We then generalize our approach to the O(2) model and to the strongly anisotropic XXZ model, which enables us to show that weak amplitude fluctuations as well as weak out-of-plane fluctuations do not change the universal properties of the BKT transition.
In the second part of this thesis, we develop a new FRG approach to quantum spin systems. In contrast to previous works, our spin functional renormalization group (SFRG) does not rely on a mapping to bosonic or fermionic fields, but instead deals directly with the spin operators. Most importantly, we show that the generating functional of the irreducible vertices obeys an exact renormalization group equation, which resembles the Wetterich equation of a bosonic system. As a consequence, the non-trivial structure of the su(2) algebra is fully taken into account by the initial condition of the renormalization group flow. Our method is motivated by the spin-diagrammatic approach to quantum spin system that was developed more than half a century ago in a seminal work by Vaks, Larkin, and Pikin (VLP) [Sov. Phys. JETP 26, 188 (1968)]. By embedding their ideas in the language of the modern renormalization group, we avoid the complicated diagrammatic rules while at the same time allowing for novel approximation schemes. As a demonstration, we explicitly show how VLP's results for the leading corrections to the free energy and to the longitudinal polarization function of a ferromagnetic Heisenberg model can be recovered within the SFRG. Furthermore, we apply our method to the spin-S Ising model as well as to the spin-S quantum Heisenberg model, which allows us to calculate the critical temperature for both a ferromagnetic and an antiferromagnetic exchange interaction. Finally, we present a new hybrid formulation of the SFRG, which combines features of both the pure and the Hubbard-Stratonovich SFRG that were published recently [Phys. Rev. B 99, 060403(R) (2019)].
The three major autoimmune diseases (ADs) of the liver are primary biliary cholangitis (PBC), primary sclerosing cholangitis (PSC), and autoimmune hepatitis (AIH). All of those diseases show an aggressive immune reaction resulting in the destruction of liver tissue and finally to the development of hepatic fibrosis.
PSC is an autoimmune mediated disease of unknown etiology. It is characterized by inflammation of intra- and extrahepatic bile ducts. The progressive destruction of the bile ducts can lead to liver cirrhosis and finally to liver failure. Clinical signs for PSC are increased alkaline phosphatase (AP) and gamma glutamyltransferase (GGT) levels, presence of perinuclear anti-neutrophil cytoplasmic antibodies (pANCA) and bile ducts with characteristic strictures and dilations of the biliary tree as well as onion skin fibrosis surrounding the damaged bile ducts. Currently, there is no established treatment for PSC patients. The administration of ursodeoxycholic acid (UDCA) is being use as a therapy. However, it merely serves a symptomatic treatment to reduce serum AP and GGT as well as the formation of gallstones. In the advanced stage of PSC, liver transplantation is the last therapeutic option. Mdr2-/- mice are an excepted mouse model for human PSC. Such mice show lymphocytes infiltration into the liver, bile duct lesions, as well as the presence of the typical onion skin-like pericholangitis and periductal fibrosis.
AIH is a rare chronic autoimmune disease of the liver that results from the loss of self-tolerance to hepatocytes and leads to destruction of the hepatic parenchyma with the onset of cirrhosis. Clinical signs for AIH are elevated alanine aminotransferase (ALT) and aspartate transaminase (AST) levels, hypergammaglobulinemia and different types of autoantibodies. In addition, interphase hepatitis with lymphocytic and plasmacellular infiltrates in the periportal field are characteristic for AIH. Two different subtypes of AIH exist and depending on their autoantibody profile they can be distinguished into AIH type 1 which is characterized by the presence of anti-nuclear (ANA) and/or anti-smooth muscular (SMA) autoantibodies, and AIH type 2 showing liver/kidney microsomal autoantibodies (LKM-1). LKM-1 recognizes the major autoantigen, the 2D6 isoform of the cytochrome P450 enzyme family (CYP2D6). One mouse model for AIH is the CYP2D6 model in which the injection of Ad-2D6 leads to a breakdown of the immune tolerance by the destruction of hepatocytes.
There are some patients with autoimmune diseases of the liver who have both cholestatic and hepatic liver enzymes and histological features suggestive of two different liver diseases. These patients are diagnosed with an overlap syndrome (OS).
In my thesis I generated an animal model with characteristics of both diseases, which would mimic features of human PSC-AIH OS. Mdr2-/- mice which spontaneously develop PSC were infected with Ad-2D6 to trigger the autoimmune-driven hepatic injury. Pathogenesis of PSC-AIH OS mice was compared to mice with solitary PSC or AIH. Naïve FVB wild type mice have been used as healthy controls. The characterization of the PSC-AIH OS model was done by analyzing serological parameters like ALT, AP, different antibodies like pANCA, LKM-1 like CYP2D6 and total IgG. Additionally, fibrosis and cholangitis were analyzed by immunohistochemistry and Western blotting. Moreover, cellular infiltrations of CD4+ and CD8+ T cells, dendritic cells (DCs), monocytes/macrophages and neutrophils were determined with immunohistochemistry. Finally, the overall immune balance in the liver and the frequency of CYP specific T cells were analyzed via flow cytometry. Our new mouse model indeed represents the characteristics of both PSC and AIH and mimics features of the human PSC-AIH OS. It allows studying the development of a PSC-AIH OS and how the two overlapping diseases are influencing one another. In a second approach I wanted to induce CYP2D6-specific tolerance in AIH mice. Therefore, I tried four different approaches, namely intranasal peptide administration, injection of tolerogenic DCs, antigen-coupled splenocytes, and Ag-coupled nanoparticles (NP) and evaluated their potential to induce CYP2D6 specific Treg with the capacity to prevent AIH in mice. Unfortunately, the intranasal peptide administration and also the injection of tolerogenic DCs did not increase the amount of CYP2D6 specific Treg which would lead to a reduction of the frequency of inflammatory T cells. Surprisingly, the injection of antigen-coupled splenocytes showed the opposite effect characterized by a very strong cytokine secretion in the tolerized mice. The use of NPs led to an increase in CYP2D6 specific Treg as well as in decrease in the frequency of inflammatory T cells and finally has the potential for a therapeutic approach.
In summary, the generated PSC-AIH OS model represents many clinical signs which can also be observed in PSC-AIH OS patients. This model can be used to study the etiology of this overlap syndrome and further to test potential therapeutic approaches. The different immune tolerance induction pathways which I tried in the AIH model show that NPs have to potential to induce immune tolerance but this approach has to be refined and the outcome has to be characterized in more detail.
The existence of all living organisms depends on their multidimensional adjustment to the conditions of the environment in which they live. Organisms must constantly deal with not only abiotic stress factors (such as water availability or extreme temperatures), but also with various biotic interactions (the competition between different organisms, both intraspecific and interspecies). When there is a consensus between an organism and the environment it means that this organism is well adjusted and increases its probability of survival.
Symbiotic organisms possess the ability to establish an intimate interaction with another species (symbiont) that provides benefits for survival. Organisms that are involved in obligate symbiosis may adapt to a new environment by switching to another symbiotic partner that is locally better adapted; or by reshuffling symbiont communities present in the holobiont. This ability potentially gives them the opportunity to flexibly react to changing environmental conditions.
In this thesis I studied the genetic diversity and geographic distribution of symbiont lineages in a lichen symbiosis to better understand environmental adaptation in symbiotic systems. Lichens are symbiotic associations of photobionts (one or several green-algal species or cyanobacteria), filamentous mycobionts (lichen-forming fungi) and co-inhabiting symbiotic microorganisms (lichen-associated bacteria, endolichenic fungi, and basidiomycete yeast). The coccoid green algae of the genus Trebouxia are the most common and the most studied lichen photobionts. However, the lack of formal Trebouxia taxonomy impedes our understanding of this photobiont diversity.
Different species of mycobionts may share the same photobionts and a single species of mycobiont may associate with multiple, genetically different photobionts. Interactions among symbionts are not random and are constrained by evolutionary and environmental processes. The ability to associate with specific symbiotic partner is considered as a lichen strategy to facilitate adaptation to the constantly changing environments.
The objectives of this thesis were to 1. Elucidate the intraspecific diversity of fungal and algal symbionts in the lichen Umbilicaria pustulata, given a range-wide (Europe-wide) sampling; 2. Evaluate species delimitation in trebouxioid photobionts based on molecular data, and 3. Quantify the climatic niches of photobiont lineages within U. pustulata, to establish whether the association with particular photobionts may modify the range and ecological niche of this lichen.
The main findings of this thesis are:
1. The genetic diversity within trebouxoid photobiont of U. pustulata is higher than within the mycobiont. The most variable photobiont loci are nrITS rDNA, psbJ-L, and COX2. RbcL is the least variable photobiont locus. The most variable mycobiont loci are MCM7 and TSR1. This study shows a lack of genetic variability in the mycobiont loci EF1, nrITS rDNA, RPB1, and RPB2.
2. U. pustulata shows a low level of selectivity and is associated with numerous (most likely six) putative algal species. All photobiont haplotypes found in U. pustulata are shared between other lichen-forming fungi species, showing different patterns of species-to-species and species-to-community interactions.
3. The geographic distribution of U. pustulata symbionts associations is strongly connected to changes in the climatic niches. The mycobiont-photobiont interactions change along latitudinal temperature gradients (cold-adapted hotspot) and in Mediterranean climate zones (warm-adapted hotspot). U. pustulata broadens its distribution range by switching between photobionts that posses specific environmental preferences.
Overall, this thesis contributes to the understanding of the symbiont diversity, fungal-algal association patterns and local adaptation linked to symbiont-mediated niche expansion in lichens. While identifying intraspecific diversity of both lichen symbionts is a key predisposition to understand symbiont interactions, population dynamics or co-evolution, my comparative study of the sequence-based molecular markers is relevant to reveal cryptic diversity in other lichen-forming fungi and their photobionts.
The determination of species boundaries in lichen symbionts is essential for the study of selectivity and specificity, co-distribution, and co-evolution. Whereas the phylogenetic relationships of Trebouxiophyceae are poorly understood, the application of a novel multifaceted approach based on phylogenetic relationships, coalescence methods and morphological traits presented in this thesis is a promising tool to address species boundaries within this heterogeneous genus.
This thesis provides evidence for symbiont-mediated niche expansion in lichens and highlights the preferential photobiont association from a niche-modeling perspective. My results shed light on symbiont polymorphism and partner switching as potential mechanisms of environmental adaptation in the lichen symbiosis. The spatial genetic pattern found in U. pustulata symbionts supports the concept of ecological fitting and is consistent with patterns found in other lichen studies. Results presented here relate also to findings in different symbiotic systems, like reef-building corals, where different latitudinal patterns and symbiont switching has been reported as an adaptive response to severe bleaching events. Furthermore, this study is timely in light of global warming, because the identification of interaction hotspots among symbionts helps to understand how lichens or other symbiotic organisms adjust to the ongoing climate change. This knowledge will, in turn, facilitate the proper conservation of the most vulnerable lichen populations. My doctoral thesis provides a conceptual framework for analyzing symbiont diversity, interaction patterns, and symbiont-mediated niche expansion that could be applied to other types of lichen species as well as other organisms involved in facultative or obligate symbiosis.
In the light of emerging resistances against common drugs, new drug leads are required. In the past natural sources have been more yielding in this respect than synthetic strategies. Fungi synthesize many natural products with biological activities and pharmacological relevance. However, only a fraction of the estimated fungal diversity has been evaluated for biological activity, and much of the Fungi’s natural chemical diversity awaits discovery. Especially promising in this context are lichenized fungi. Lichens are well known for their particularly rich and characteristic secondary chemistry which allows them to withstand intense UV radiation, protects them against herbivory, and prevents them from being overgrown. The slow growth rates of lichens and difficulties and infeasibility of large scale cultivations in the laboratory render lichens inaccessible for applied purposes. These experimental challenges have led to a poor understanding of the molecular mechanisms underlying the biosynthesis of characteristic lichen secondary metabolites. The recent development of improved sequencing techniques has enabled new strategies to address multi-species assemblages directly through metagenome sequencing and survey their biosynthetic potential through genome mining. However, whole genome sequencing of entire lichen thalli to metagenomically assess the lichen-forming fungus without the need of cultivation has not been evaluated for lichens before. This approach will enable the reconstruction of fungal genomes from mixed DNA from lichen thalli and allow the exploration of biosynthetic gene content.
My thesis was conducted in two parts: a methodological evaluation of a metagenomic strategy to reconstruct genomes and gene sets of lichen-forming fungi, and the exploration of biosynthetic gene content with the help of comparative genomics and phylogenetics. For the first part, I evaluated the quality of metagenome-derived genome assemblies and gene sets by direct comparison to culture-derived reference assemblies and gene sets of the same species. I showed that metagenome-derived fungal assemblies are comparable to culture-derived references genomes and have a similar total genome size and fungal genome completeness. The quality of assemblies was affected strongly by the choice of assembler, but not by the method of taxonomic assignment or inference of non-mycobiont DNA sequences. The fungal gene space is well covered in metagenome-derived and culture-derived fungal gene sets and overlaps to 88-90 %. Finally, the metagenome-derived assemblies reliably recover gene families of secondary metabolism. This shows the suitability of metagenomically derived genomes for mining biosynthetic genes, and potentially also other gene families. Overall, the method validation showed a high similarity between metagenome- and culture-derived genome assemblies.
For the second part of my thesis, I explored the biosynthetic gene content in two different systems: Between two sister-species with different ecological requirements but similar chemical profile, and between two species which are metabolite-rich and economically relevant in the perfume industry. I compared the diversity of biosynthetic gene clusters between the species and in the broader context of other lichenized and non-lichenized fungi. Overall, the whole genome mining revealed a large number of uncharacterised secondary metabolite gene clusters in fifteen genomes of lichen-forming fungi compared to other fungal classes. Their number highly outweighs the number of known synthesized metabolites and highlights the hidden biosynthetic potential in lichen-forming fungi. Many biosynthetic gene clusters in the ecological distinct sister-species showed a high homology in accordance with the high synteny in gene content and order in both genomes. These clusters represent ideal candidates for secondary metabolites synthesized by both species, while the remaining clusters may encode for metabolites relevant for the different ecological requirements of both species. The metabolite-rich species used in the perfume industry showed a particularly high number of biosynthetic gene clusters. An in-depth characterization of architecture and gene content of homologous gene clusters together with hints from phylogenetic relatedness to functional characterized metabolites provides promising insights into the biosynthetic gene content of these lichen-forming fungi.
In conclusion, I showed that metagenome sequencing of natural lichen thalli is a feasible approach to reconstruct the fungal mycobiont genome of lichens and circumvent time-consuming and in some cases impossible cultivation of individuals. The genome mining for secondary metabolite gene clusters in lichen-forming fungi revealed a high biosynthetic potential for the discovery of new natural products. One of the focal species, Evernia prunastri, contained the highest ever reported number (80) of biosynthetic clusters in lichenized fungi. The comprehensive cluster characterizations through annotation, comparative mapping and phylogenetics provide first valuable hints for linking metabolites to genes in these lichen-forming fungi. My results pave the way for biotechnological strategies to unlock the vast richness of natural products from lichens for applied purposes.
Transposable elements (TEs) are replicating genetic elementst hat comprise up to 50% of mammalian genomes. A specific class of TEs are retrotransposons that proliferate by transcription into a RNA intermediate, followed by genomic reintegration into another locus (so called “copy & paste” mechanism). Due to the lack of removal mechanisms and very rare parallel insertions, the presence of TE insertions at ortholgous genomic loci in multiple taxa provides a virtually homoplasy free phylogenetic marker. So far, developing phylogenetically informative markers from TE insertions has been a tedious work of testing hundreds of putative candidate loci in a trial-and error approach with low success rate. Hence, phylogenetic studies using TE insertions were often limited to a few dozen markers.
Recently, genome sequencing of multiple species using reference-mapping allowed the identification of genome-scale datasets of TE insertions. and made the ad-hoc development of phylogenetic informative markers possible. However, genome scale TE detection methods have rarely been applied to non model organisms in which data availability and quality is comparably limited. In this thesis, I developed the TeddyPi pipeline (TE detection and discovery for phylogenetic inference), a software tool that made it possible to obtain reliable genome-scale TE insertion data from low-coverage genomes. This was achieved by integrating the data from multiple TE and structural variation callers as well as applying a stringent filtering pipeline to exclude low-quality insertion calls. Whole-genome sequencing datasets of bears (Ursidae) and baleen whales (Mysticeti) were used to apply TE based phylogenetic inference and evaluate the method in comparison to sequence-based phylogenomic analyses.
In the bear genomes, TeddyPi identified 150,513 high-quality transposable element (TE) insertions, which allowed me to reconstruct the evolutionary history of bears despite extensive phylogenetic conflict (Lammers et al., 2017). The large number of detected TE insertions made also detailed network analyses possible that visualize the phylogenetic conflict. Experimental polymerase chain reaction (PCR) assays validated up to 93 % of the computationally identified TE loci and demonstrated the high accuracy of the dataset underlying the phylogenetic analyses.
Second, I present the initial genome sequencing of six baleen whales and a detailed investigation of their evolutionary history using TE insertions and established sequence-based phylogenomic methods. The taxon sampling of baleen whales included iconic species like the blue whale (Balaneoptera musculus) or the humpback whale (Megaptera novaengliae) (Árnason et al., 2018). A sequence-based reconstruction of the baleen whale species tree solved the long-debated phylogenetic position of the gray whale (Echrichtius robustus) within rorquals (Balaneopteridae) for the first time with high statistical support. Furthermore, the genome data made it possible to identify large extent of phylogenetic conflict for divergences during the radiation of rorquals that occurred 7-10 million years ago (Ma).
The phylogenomic analyses of 91,589 TE insertions in the whale genomes confirmed the sequence-based topology (Lammers et al., 2019). The quantification of phylogenetic signals obtained from the TE insertions revealed a high degree of discordance for the divergence of the gray whale and rorquals. Despite the large genome-scale dataset, statistical tests showed only marginal support for a bifurcating divergence of gray whales and the rorqual species. The limited statistical support for a strictly bifurcating tree obtained from genome-scale datasets of thousands of markers demonstrates the importance for including phylogenetic networks for displaying evolutionary divergences.
In conclusion, this thesis shows that identification of TE insertions from whole-genome resequencing provides plentiful and accurate phylogenomic markers. For the application in non model organisms, I provide a easy-to-use software to integrate multiple datasets from TE and structural variation callers in order to obtain reliable and ascertainment-bias free datasets. Detecting genome-scale datasets of TE insertions in two case studies demonstrates the applicability of this marker system for phylogenetic reconstruction and inferring phylogenetic conflict.
In dieser Arbeit werden drei Themenkomplexe aus dem Bereich der Externspeicheralgorithmen näher beleuchtet: Approximationsalgorithmen, dynamische Algorithmen und Echtzeitanfragen. Das Thema Approximationsalgorithmen wird sowohl im Kapitel 3 als auch im Kapitel 5 behandelt.
In Kapitel 3 wird ein Algorithmus vorgestellt, welcher den Durchmesser eines Graphen heuristisch bestimmt. Im RAM- Modell ist eine modifizierte Breitensuche selbst ein günstiger und äußerst genauer Algorithmus. Dies ändert sich im Externspeicher. Dort ist die Hauptspeicher-Breitensuche durch die O(n + m) unstrukturierten Zugriffe auf den externen Speicher zu teuer. 2008 wurde von Meyer ein Verfahren zu effizienten Approximation des Graphdurchmessers im Externspeicher gezeigt, welches O(k · scan(n + m) + sort(n + m) + √(n·m/k·B)· log(n/k) + MST(n, m)) I/Os bei einem multiplikativen Approximationsfehler von O(√k · log (k)) benötigt. Die Implementierung, welche in dieser Arbeit vorgestellt wird, konnte in vielen praktischen Fällen die Anzahl an I/Os durch Rekursion auf O(k · scan(n + m) + sort(n + m) + MST(n, m)) I/Os reduzieren. Dabei wurden verschiedene Techniken untersucht, um die Auswahl der Startpunkte (Masterknoten) zum rekursiven Schrumpfen des Graphen so wählen zu können, dass der Fehler möglichst klein bleibt. Weiterhin wurde eine adaptive Regel eingeführt, um nur so viele Masterknoten zu wählen, dass der geschrumpfte Graph nach möglichst wenigen Rekursionsaufrufen in den Hauptspeicher passt. Es wirdgezeigt, dass die untere Schranke für den worst case-Fehler dabei auf Ω(k^{4/3−e}) mit hoher Wahrscheinlichkeit steigt. Die experimentelle Auswertung zeigt jedoch, dass in der Praxis häufig deutlich bessere Ergebnisse erzielt werden.
In Kapitel 4 wird ein Algorithmus vorgestellt, welcher, nach dem Einfügen einer neuen Kante in einen Graphen, den zugehörigen Baum der Breitensuche unter Verwendung von O(n · (n/B^{2/3} + sort(n) · log (B))) I/Os mit hoher Wahrscheinlichkeit aktualisiert. Dies ist für hinreichend große B schneller als die statische Neuberechnung. Zur Umsetzung des Algorithmus wurde eine neue deterministische Partitionsmethode entwickelt, bei der die Größe der Cluster balanciert und effizient veränderbar ist. Hierfür wird ein Dendrogramm des Graphen auf einer geeigneten Baumrepräsentation, wie beispielsweise Spannbaum, berechnet. Dadurch hat jeder Knoten ein Label, welches aufgrund seiner Lage innerhalb der Baumrepräsentation berechnet worden ist. Folglich kann mittels schneller Bit-Operationen das Label um niederwertige Stellen gekürzt werden, um Cluster der Größe µ = 2 i zu berechnen, wobei der Clusterdurchmesser auf µ beschränkt ist, was für die I/O-Komplexität gewährleistet sein muss, da der Trade-off aus MM_BFS zwischen Cluster- und Hotpoolgröße genutzt wird. In der experimentellen Auswertung wird gezeigt, dass die Performanz von dynamischer Breitensuche sowohl auf synthetischen als auch auf realen Daten oftmals schneller ist als eine statische Neuberechnung des Baums der Breitensuche. Selbst wenn dies nicht der Falls ist, so sind wir nur um kleine, konstante Faktoren langsamer als die statische Implementierung von MM_BFS.
Schließlich wird in Kapitel 5 ein Approximationsalgorithmus vorgestellt, welcher sowohl dynamische Komponenten beinhaltet als auch die Eigenschaft besitzt, Anfragen in Echtzeit zu beantworten. Um die Echtzeitfähigkeit zu erreichen, darf eine Anfrage nur O(1) I/Os hervorrufen. Im Szenario dieser Arbeit wurden Anfragen zu Distanzen zwischen zwei beliebigen Knoten u und v auf realen Graphdaten mittels eines Distanzorakels beantwortet. Es wird eine Implementierung sowohl für mechanische Festplatten als auch für SSDs vorgestellt, wobei kontinuierliche Anfragen im Onlineszenario von SSDs in Millisekunden gelöst werden können, während ein großer Block von Anfragen auf beiden Architekturen in Mikrosekunden pro Anfrage amortisiert gelöst werden kann.
Hierarchical self-organizing systems for task-allocation in large scaled distributed architectures
(2019)
This thesis deals with the subject of autonomous, decentralized task allocation in a large scaled multi-core network. The self-organization of such interconnected systems becomes more and more important for upcoming developments. It is to be expected that the complexity of those systems becomes hardly manageable to human users. Self-organization is part of a research field of the Organic Computing initiative, which aims to find solutions for technical systems by imitating natural systems and their processes. Within this initiative, a system for task allocation in a small scaled multi-core network was already developed, researched and published. The system is called the Artificial Hormone System (AHS), since it is inspired by the endocrine system of mammals. The AHS produces a high amount of communication load in case the multi-core network is of a bigger scale.
The contribution of this thesis is two new approaches, both based on the AHS in order to cope with large scaled architectures. The major idea of those two approaches is to introduce a hierarchy into the AHS in order to reduce the produced communication load. The first and more detailed researched approach is called the Hierarchical Artificial Hormone System (HAHS), which orders the processing elements in clusters and builds an additional communication layer between them. The second approach is the Recursive Artificial Hormone System (RAHS), which also clusters the system’s processing elements and orders the clusters into a topological tree structure for communication.
Both approaches will be explained in this thesis by their principle structure as well as some optional methods. Furthermore, this thesis presents estimations for the worst case timing behavior and the worst-case communication load of the HAHS and RAHS. At last, the evaluation results of both approaches, especially in comparison to the AHS, will be shown and discussed.
This thesis is a summary of existing and upcoming publications, with a focus on high order methods in numerical relativity and general relativistic flows. The text is structed in five chapters. In the first three ones, the ADER-DG technique and its application to the Einstein-Euler equations is introduced. Novel formulations for both the Einstein equations in the 3+1 split as well as the general relativistic magnetohydrodynamics (GRMHD) had to be derived. The first order conformal and covariant Z4 formulation of Einstein equations (FO-CCZ4) is proposed and proven to be strongly hyperbolic. Together with the fluid equations of general relativistic magnetohydodynamics (GRMHD), a number of benchmark scenarios is presented to show both the correctness of the PDEs as well as the applicability of the numerical scheme.
As an application in astrophysics, a general-relativistic study of the treshold mass for a prompt-collapse of a binary neutron star merger with realistic nuclear equation of states has been carried out. A nonlinear universal relation between the treshold mass and the maximum compactness is found. Furthermore, by taking recent measurements of GW170817 into account, lower limits on the stellar radii for any mass can be given.
Furthermore, an (unpaired) work in quantum mechanical black hole engineering is presented. Higher dimensional extensions of generalized Heisenberg’s uncertainty principle (GUP) are studied. A number of new phenomenology is found, such as the existence of a conical singularity which mimics the effect of a gravitational monopole on short scale and that of a Schwarzschild black hole at a large scale, as well as oscillating Hawking temperatures which we call "lighthouse effect". All results are consistent with the self complete paradigm and a cold evaporation endpoint remnant.
The adult mammalian heart is a non-regenerative organ that fails to recover neither functionally nor structurally after insults. Although, reports show that the presences of mitotic nuclei after pathological or physiological cardiac stress in humans, it is widely accepted that the regenerative capacity of the human heart is immensely inadequate to restore the loss of cardiomyocytes (CMs) (Beltrami et al., 2001; Kajstura et al., 1998). Consequently, myocardial infarctions (MIs) are the primary cause of cardiovascular morbidity and mortality. MIs is the irreversible loss of cardiac myocytes due to prolonged myocardial ischemia caused by an imbalance of the metabolic demand of the myocardium and myocardial blood flow (Whelan et al., 2010). Patients with MIs often die prematurely because of heart failure, resulting from irreversible scar formation on the ventricular wall and undermined heart function (Jessup and Brozena, 2003). Despite early intervention and advancements of medical devices for prevention, MIs are still untreatable, unless the heart transplantation approach considered, which is very limited by heart donation (Augoustides and Riha, 2009). Therefore, there is a high demand for standard therapy for heart failure that can restore the loss of CMs, prompt myocardial regeneration, and eventually, reduce morbidity and mortality rate of the disease.
Contrary to the adult mammalian heart, zebrafish display an extraordinary capacity for heart regeneration after the cardiac insult (Poss et al., 2002). This regenerative response relies on the ability of CMs to proliferate and replenish the lost tissue. Zebrafish is indeed one of the most commonly used experimental models for developmental and regenerative biology studies (Gemberling et al., 2013; Gonzalez-Rosa et al., 2017). For decades, the process of cardiac regeneration has been investigated using various cardiac injury models. The most commonly used and well-established injury methods are ventricular apical resection (Poss et al., 2002; Raya et al., 2003), cryoinjury (Chablais et al., 2011; Schnabel et al., 2011), as well as genetic and chemical ablation of heart cells (Curado et al., 2007; Wang et al., 2011). The origin of new cells is one of the most fundamental questions to be addressed during organ regeneration in any regenerative organism, and understanding of such phenomenon is crucial to design effective therapeutic strategies for non-regenerative organisms (Gonzalez-Rosa et al., 2017; Tanaka and Reddien, 2011).
Despite the robust cardiac regenerative potential, to date, only a handful of lineage tracing experiments have been reported in zebrafish heart regeneration. It was proposed that the cellular source of the renewed cardiac tissue might arise from progenitor or stem cells (Lepilina et al., 2006), through CMs dedifferentiation (Jopling et al., 2010; Kikuchi et al., 2010), transdifferentiation from other cell types in the heart tissue, and/or direct proliferation of the existing CMs (Kikuchi and Poss, 2012). Fate-mapping studies using transgenic lines driven by the myl7 promoter have shown that pre-existing CMs contribute to myocardial regeneration. However, myl7 expression is activated at early developmental stages in cardiac progenitor cells and hence precluding the identification of genuinely mature CMs in adult stages. Therefore, the cellular origin of the regenerating CMs remains elusive. Moreover, CM heterogeneity in the developing and adult zebrafish heart has never been explored to provide full insight into the process of regeneration. Therefore, I set out to identify genes exclusively expressed by either immature or mature CMs, generate promoter-driven reporter and CreERT2 lines to characterize the reporters during zebrafish heart development, and regeneration, and eventually to determine the contribution of the immature CMs to the regenerating CMs....
In the recent years, myxobacteria have emerged as a novel source of natural compounds with structural diversity and biological activity for drug discovery. In this work, the two myxobacterial compounds archazolid and vioprolide were characterized for their potential pharmacological effects in vascular endothelial cells. Archazolid is a wellestablished v-ATPase inhibitor found in Archangium gephyra and Cystobacter spec. As the v-ATPase represents a promising target in cancer treatment, the effects of archazolid have been intensively studied in cancer cells, but rarely in endothelial cells. Vioprolide is an antifungal and cytotoxic metabolite obtained from Cystobacter violaceus. There are only few studies on vioprolide, most of them focusing on its biosynthesis. Preliminary studies revealed that it inhibited TNF-induced expression of ICAM-1, indicating possible anti-inflammatory properties. As the endothelium plays an important role in cancer and inflammation, it represents an attractive drug target. Therefore, the archazolid and vioprolide were investigated regarding their effects on endothelial cells.
V-ATPase inhibition by archazolid resulted in anti-tumor and anti-metastatic effects in vitro and in vivo. Archazolid was used to study the consequences of v-ATPase inhibition in endothelial cells that might contribute to the anti-metastatic activities observed in vivo. To analyze the impact of archazolid on the interaction endothelial and cancer cells, in vitro cell adhesion and transmigration assays were performed using primary HUVEC or immortalized HMEC-1 and different cancer cell types (MDA-MB-231, PC-3 and Jurkat cells). For these experiments, only the endothelial cells were treated with archazolid. VATPase inhibition by archazolid led to an increased adhesion of the metastatic breast cancer cell line MDA-MB-231 and prostate cancer cell line PC-3 onto endothelial cells whereas the adhesion of Jurkat cells was unaffected. Interestingly, archazolid treatment of HUVECs decreased the transendothelial migration of MDA-MB-231 cells. Endothelial ICAM-1, VCAM-1, E-selectin and N-cadherin are potential ligands of interacting cancer cells. Therefore, the mRNA and surface protein levels of these cell adhesion molecules were measured via qRT-PCR and flow cytometry, respectively. These adhesion molecules were not responsible for the archazolid-induced cancer cell adhesion, as archazolid treatment of HUVECs did not upregulate their mRNA or surface expression. Instead, cell adhesion assays using a monoclonal antibody against integrin subunit β1 showed that β1-integrins expressed on MDA-MB-231 and PC-3 cells mediated the archazolid-induced cancer cell adhesion. Cell adhesion assays onto plastic coated with ECM components which are the major ligands of β1-integrins, revealed that MDA-MB231 and PC-3 cells preferably interact with collagen. So next, we investigated the influence of archazolid on surface collagen levels in HUVECs by immunostaining, which demonstrated an increase of nearly 50 % upon archazolid treatment. We confirmed the hypothesis that the expression and activity of cathepsin B, a lysosomal enzyme that degrades extracellular matrix components including collagen, was inhibited by archazolid in endothelial cells. Finally, overexpression of cathepsin B reduced the cancer cell adhesion on archazolid-treated HUVECs, but also in control cells, indicating a negative correlation between cathepsin B expression and cancer cell adhesion.
The influence of vioprolide on the interaction of endothelial cells with leukocytes was analyzed by in vitro cell adhesion assays using HUVECs and primary monocytes, THP-1 or Jurkat cells. Vioprolide inhibited the adhesion of these cells onto TNF-activated HUVECs. In addition, the endothelial-leukocyte interaction was observed in vivo by intravital microscopy in the mouse cremaster muscle. Vioprolide prevented the TNFinduced firm adhesion and transmigration of leukocytes, while leukocyte rolling was not affected. ICAM-1, VCAM-1 and E-selectin are cell adhesion molecules, which are upregulated by TNF and mediate leukocyte adhesion onto endothelial cells. Therefore, flow cytometric analysis was performed to measure their surface expression. Vioprolide significantly decreased TNF-induced expression of surface ICAM-1, VCAM-1 and E-selectin, which was in line with the in vitro results. In vivo, vioprolide may act in a different way on E-selectin expression, so that leukocyte rolling, which is governed by E-selectin, remained unaffected. qRT-PCR experiments revealed that the mRNA expression of ICAM-1 and VCAM-1 were also reduced by vioprolide, indicating a regulation on transcriptional level. In contrast, the mRNA expression of E-selectin was not decreased at the timepoint when surface protein expression was diminished. The induction of these cell adhesion molecules is mainly mediated by the transcription factor NFκB. A Dual-Luciferase® reporter assay was used to study the impact of vioprolide on the TNF-induced NFκB promotor activity. Vioprolide blocked the TNF-induced NFκB promotor activity while the TNF-induced IκBα degradation and nuclear translocation of the NFκB subunit p65 was not altered by vioprolide. Western blot analysis revealed that vioprolide had no effect on the activation of MAPK (p38, JNK) and AKT by TNF, which could interfere with the NFκB-dependent gene expression.
Taken together, archazolid and vioprolide are interesting myxobacterial compounds with different modes of actions. The study suggests that the v-ATPase inhibitor archazolid impairs the expression and activity of cathepsin B in endothelial cells, which leads to a higher amount of collagen on the endothelial surface. As a result, the adhesion of β1-integrin expressing metastatic cancer cells onto archazolid-treated endothelial cells increased while transendothelial migration was reduced. Further, archazolid represents a promising tool to elucidate the role of v-ATPase in endothelial cells. Vioprolide was able to prevent TNF-induced endothelial-leukocyte interaction in vitro and in vivo by interfering with NFκB-dependent gene expression. Further research is required to enlighten the underlying mechanism and the direct target of vioprolide.
Inhibition of F1Fo ATP synthases by bacterial
virulence factors and photoswitchable azopolyphenols
(2019)
F1Fo ATP synthases are important membrane-embedded nano-machines which are conserved among all three kingdoms of life. They use a proton or sodium gradient across the membrane to drive ATP synthesis, which is the major source of energy for the cell. As ATP synthases are essential for pathogens such as mycobacteria, they are important drug targets for the treatment of infectious diseases. In this work, structural studies on the E. coli ATP synthase are performed. Furthermore, bacterial virulence MgtC proteins are investigated. Additionally, photo-switches are used to spatiotemporally control yeast ATPase activity...
Neuropsychiatric disorders are complex, highly heritable but incompletely understood disorders. The clinical and genetic heterogeneity of these disorders poses a significant challenge to the identification of disorder related biomarkers. Besides significant progress in unveiling the genetic basis of these disorders, the underlying causes and biological mechanisms remain obscure. With the advancement in the array, sequencing, and big data technologies, a huge amount of data is generated from individuals across different platforms and in various data structures. But there is a paucity of bioinformatics tools that can integrate this plethora of data. Therefore, there is a need to develop an integrative bioinformatics data analysis tool that combines biological and clinical data from different data types to better understand the underlying genetics.
This thesis presents a bioinformatics pipeline implementing data from different platforms to provide a thorough understanding of the genetic etiology of a neuropsychiatric quantitative as well as a qualitative trait of interest. Throughout the thesis, we present two aspects: one is the development and architecture of the bioinformatics pipeline named MApping the Genetics of neuropsychiatric traits to the molecular NETworks of the human brain (MAGNET). The other part demonstrates the implementation and usefulness of MAGNET analysing large Autism Spectrum Disorder (ASD) cohorts.
MAGNET is a freely available command-line tool available on GitHub (https://github.com/SheenYo/MAGNET). It is implemented within one framework using data integration approaches based on state-of-the-art algorithms and software to ultimately identify the genes and pathways genetically associated with a trait of interest. MAGNET provides an edge over the existing tools since it performs a comprehensive analysis taking care of the data handling and parsing steps necessary to communicate between the different APIs (Application Program Interface). Thus, this avoids the in-between data handling steps required by researchers to provide output from one analysis to the next. Moreover, depending on the size of the dataset users can deduce important information regarding their trait of interest within a time frame of a few days. Besides gaining insights into genetic associations, one of the central features is the mapping of the associated genes onto developing human brain implementing transcriptome data of 16 different brain regions starting from the 5th post-conceptional week to over 40 years of age.
In the second part as proof of concept, we implemented MAGNET on two ASD cohorts. ASD is a group of psychiatric disorders. Clinically, ASD is characterized by the following psychopathology: A) limitations in social interaction and communication, and B) restricted, repetitive behavior. The etiology of this disorder is extremely complex due to its heterogeneous clinical traits and genetics. Therefore, to date, no reliable biomarkers are identified. Here, the aim is to characterize the genetic architecture of ASD taking into account the two aforementioned ASD diagnostic domains. As well as to investigate if these domains are genetically linked or independent of each other. Moreover, we addressed the question if these traits share genetic risk with the categorical diagnosis of ASD and how much of the phenotypic variance of these traits can be explained by the underlying genetics.
We included affected individuals from two ASD cohorts, i.e. the Autism Genome Project (AGP) and a German cohort consisting of 2,735 and 705 families respectively. MAGNET was applied to each of the ASD subdomains as a quantitative dependent variable. MAGNET is divided into five main sections i.e. (1) quality check of the genotype data, (2) imputation of missing genotype data, (3) association analysis of genotype and trait data, (4) gene-based analysis, and (5) enrichment analysis using gene expression data from the human brain.
MAGNET was applied to each of the individual traits in each cohort to perform quality control of the genetic data and imputed the missing data in an automated fashion. MAGNET identified 292 known and new ASD risk genes. These genes were subsequently assigned to biological signaling pathways and gene ontologies via MAGNET. The underlying biological mechanisms converged with respect to neuronal transmission and development processes. By reconciling these genes with the transcriptome of the developing human brain, MAGNET was able to identify that the significant genes associated with the subdomains are expressed at specific time points in brain areas such as the hippocampus, amygdala, and cortical regions. Further, we found that ASD subdomains related to domain A but not
to domain B have a shared genetic etiology.
As a cognitively-mediated response, autonomous adaptation at farm-gate levels constitutes reactionary actions by farmers against climate impacts. These actions are shaped by interacting factors such as household characteristics, livelihood scope and resources. It is driven by the goal of adapting cultivated farmlands to climate and for sustaining crop yields. Thus, interest in balancing adaptation goals with protection of vegetation conditions is less of a priority. Lack of research interest in understanding the gap between objectives of reactionary adaptation and protection of surface conditions (vegetation canopies) is a gap in research. In many studies, farm-gate level adaptation is described as a set of zero-feedback actions in response to climate impacts. This perception conceals the stress and impact-engendering attribute of reactionary adaptation. Inspired towards addressing this conceptual gap; this study investigates impact of farmers’ reactionary adaptation on vegetation cover in Keffi, Nasarawa, Nigeria. A twenty-year time-series NDVI and rainfall datasets are linearly regressed to examine the extent of NDVI-rainfall sensitivity. A weak linear relationship between NDVI and rainfall in Keffi for the period, 1999-2018 is observed. At a regression slope of 0.001, R squared, R2=0.129 (implying that only about 13% of the variability in NDVI in Keffi are explained by rainfall amount) and a bivariate regression coefficient, r=0.359; statistical evidence shows that rainfall amount are not significant predictors of NDVI in Keffi. In investigating the possible interference of non-rainfall factors on vegetation productivity (NDVI) in Keffi; a residual trend (RESTREND) analysis was carried out. Regression of residuals from NDVI-Rainfall linear regression produced a R=0.192 with a negative and downwards slope. The downward character of the RESTREND slope is suggestive of non-rainfall factors contained in the residuals. In validating the RESTREND analysis, a comparative analysis between observed and predicted NDVI derived from a reference NDVI value of 0.46 was carried out. The NDVI value of 0.46, is empirically assumed to be average NDVI value expected at a minimum rainfall amount of 850mm/year reported in tropical Savanna ecosystems. Using this empirical relationship, NDVI values were predicted for Keffi. Even at higher rainfall amounts≈1340mm/year, amounts were unable to produce corresponding higher NDVI values; rather a more plausible correlation between reference-derived predicted NDVI values and rainfall was obtained. A further analysis with predicted NDVI values, based on 1999 NDVI value in Keffi returned higher NDVI units than observed NDVI values. This strengthens the attribution of the possible interference of rainfall-NDVI sensitivity by non-rainfall factors like human activities on vegetation productivity. Surface soil analysis to exclude potential impacts of soil nutrients and moisture deficiency on vegetation productivity, showed that soil had insignificant effect on vegetation dynamics. Further inferential analysis, using the inter-annual NDVI and the reclassified bi-decadal NDVI maps showed that spatial vegetation distribution in Keffi were driven by farmers inter-annual rotational cultivation footprints than rainfall variability. With a three-class categorization, “gain, loss and significant loss”, the spatial distribution of vegetation in Keffi between (1999-2008) and (2009-2018) was assessed. Temporal condition (stressed and healthy) across the three classes supports the attribution of farmers’ reactionary adaptation and cultivation practices on the dynamic spatial vegetation distribution. Between 1999 -2018, an increase in areas with significant vegetation loss (42%), so with a decrease of -25% in areas with healthy vegetation was observed. The character of vegetation cover across the two decadal time slices, reflects landuse intensity and unsustainable farming practices. Preferences for modification of cultivation practices and changes in seed by farmers exerts positive feedbacks on vegetation cover. Higher statistical measures, 38.4% (yearly cropping) and 44% (shifting cultivation with less fallow periods) were observed in the chi-square analysis. These measures were higher than 2.0% relating to shifting cultivation with more fallow periods. While 11.6% farmers noted cultural practices as reasons for preferred cultivation methods, 48.4% farmers attributed climate as reason behind cultivation modification. This was higher than 24.4% who linked issues of tenure rights to cultivation practices. With preferences for yield- breaching strategies, the non-receding cultivation and shorter fallow practices in Keffi triggers feedback on vegetation dynamics. Evidence from this study shows that the NDVI-rainfall functional sensitivity in Keffi is plausibly dampened by effects of reactionary farm-gate level adaptation practices.
Investigating the influence of truffle´s microbiome and genotype on the aroma of truffle fungi
(2019)
Truffles (Tuber spp.) are belowground forming fungi that develop in association with roots of various host trees and shrubs. Their fruiting bodies are renowned for their enticing aromas which vary considerably, even within truffles of the same species. This aroma variability might be attributed to factors such as geographical origin, degree of fruiting body maturation, truffle genotype and microbiome (microbial communities that colonise truffle fruiting bodies) which often co-vary. Although the influence of specific factors is highlighted by several studies, discerning the contribution of each factor remains a challenge since it requires an appropriate experimental design. The primary purpose of this thesis was to gain insight into the influence of truffle’s genotype and microbiome on truffle aroma.
This doctoral thesis is comprised of four chapters. Chapter1 (Vahdatzadeh et al., 2018) aimed to exclusively elucidate the influence of truffle genotype on truffle aroma by investigating the aroma of nine mycelial strains of the white truffle Tuber borchii. We also assessed whether strain selection could be employed to improve the human- perceived truffle aroma. Quantitative differences in aroma profiles among strains could be observed upon feeding of amino acids. Considerable aroma variabilities among strains were attributed to important truffle volatiles, many of which might be derived from amino acid catabolism through the Ehrlich pathway. 13 C-labelling experiments confirmed the existence of the Ehrlich pathway in truffles for leucine, isoleucine, methionine, and phenylalanine. Sensory analyses further demonstrated that the human nose can differentiate among strains. Our results illustrated the influence of truffle genotype on truffle aroma and showed how strain selection could be used to improve the human-perceived truffle aroma.
In chapter 2 the existing knowledge on the composition of bacterial community of four truffle species was compiled using meta-analysis approach (Vahdatzadeh et al., 2015). We highlighted the endemic microbiome of truffle as well as similarities and differences in the composition of microbial community within species at various phases of their life cycle. Furthermore, the potential contribution of truffle microbiome in the formation of truffle odorants was studied. Our findings showed that truffle fruiting bodies harbour complex microbial community composed of bacteria, yeasts, filamentous fungi, and viruses with bacteria being the dominant group. Regardless of truffle species, the composition of endemic microbiome of fruiting bodies appeared very similar and was dominated by α-Proteobacteria class. However, striking differences were observed in the bacterial community composition at various stages of the life cycle of truffle.Our analyses further suggested that odorants common to many truffle species might be produced by both truffle fungi and microbes, whereas specific truffle odorants might be derived from microbes only. Nevertheless, disentangling the origin of truffle odorants is very challenging, since acquiring microbe-free fruiting bodies are currently not possible.
Chapter 3 (Splivallo et al., 2019) further characterises truffle-associated bacterial communities of fruiting bodies of the black truffle T. aestivum from two different orchards. It aimed at defining the native microbiome in this truffle species, evaluating the variability of their microbiome across orchards, and assessing factors that shape assemblages of the bacterial communities. The dominant bacterial communities in T. aestivum revealed to be similar in both orchards: although a large portion of fruiting bodies were dominated by the α-Proteobacteria class (Bradyrhizobium genus) similar to other so far-assessed truffle species, in few cases β-Proteobacteria (Polaromonas genus), or Sphingobacteria (Pedobacter genus) were found to be predominant classes. Moreover, factors shaping bacterial communities influenced the two orchards differently, with spatial location within the orchard being the main driver in Swiss orchard and collection season in the French one. Surprisingly, in contrast to other fungi, truffle genotype and the degree of fruiting body maturity seemed not to contribute in shaping the assembly of truffle microbiome. Altogether, our data highlighted the existence of heterogeneous bacterial communities in T. aestivum fruiting bodies which are dominated by either of the three bacterial classes and mainly by the α-Proteobacteria class, irrespective of geographical origin. They further illustrated that determinants driving the assembly of various bacterial communities within truffle fruiting bodies are site-specific. Truffles are highly perishable delicacies with a short shelf life (1-2 weeks), and their aroma changes profoundly upon storage. Since truffle aroma might be at least partially produced by the truffle microbiome, chapter 4 (Vahdatzadeh et al., 2019) focuses on assessing the influence of the truffle microbiome on aroma deterioration of T.aestivum during post harvest storage. Specifically, volatile profile and bacterial communities of fruiting bodies collected from four different regions (three in France and one in Switzerland) were studied over nine days of storage. Our findings demonstrated the gradual replacement of dominant bacterial classes in fresh truffles (α-Proteobacteria, β-Proteobacteria, and Sphingobacteria) by food spoilage bacteria (members of γ- Proteobacteria and Bacilli classes), regardless of the initial diversity of the bacterial classes. This shift in the bacterial community also correlated with changes in volatile profiles, and markers for truffle freshness and spoilage could be identified. Ultimately, network analysis illustrated possible links among those volatile markers and specific bacterial classes. Our data showed that storage deeply influenced the composition of bacterial community as well as aroma of truffle fruiting bodies. They also illustrated the correlation between the shift in truffle microbiome, from commensal to detrimental, and the change of aroma profile, possibly leading to the loss of fresh truffle aroma. Overall, the work undertaken in this thesis demonstrated that truffle genotype and microbiome had a stronger influence on truffle aroma than previously believed.
This dissertation contains two chapters. Each chapter covers a unique topic within RNA sci-ence and is divided in two sub sections, part A and B. Each chapter contains an introduction.
Chapter 1 gives an insight into challenges encountered during sample design and preparation for single molecule Förster energy transfer (smFRET) spectroscopy and offers a solution via a newly establishedestablished workflow to obtain accurate smFRET constructs. Following this workflow, a FRET network could be generated, which allowed a detailed structural dynamics study on H/ACA RNP during catalysis with smFRET spectroscopy. This led to detailed mech-anistic insights into H/ACA RNPs dynamics during catalysis.
Chapter 2 deals with RNA synthetic biology whereby a novel eclectic design strategy for RNA of interest (ROI) release platform is presented, which allows to release a diverse ROI se-quences with single nucleotide precision triggered by an external stimulus. This design strat-egy was used to establish a ROI release system and its powerful performance in in vitro and in vivo applications was shown.
This dissertation contains two chapters. Each chapter covers a unique topic within RNA science and is divided in two sub sections, part A and B. Each chapter contains an introduction.
Chapter 1 gives an insight into challenges encountered during sample design and preparation for single molecule Förster energy transfer (smFRET) spectroscopy and offers a solution via a newly establishedestablished workflow to obtain accurate smFRET constructs. Following this workflow, a FRET network could be generated, which allowed a detailed structural dynamics study on H/ACA RNP during catalysis with smFRET spectroscopy. This led to detailed mechanistic insights into H/ACA RNPs dynamics during catalysis.
Chapter 2 deals with RNA synthetic biology whereby a novel eclectic design strategy for RNA of interest (ROI) release platform is presented, which allows to release a diverse ROI sequences with single nucleotide precision triggered by an external stimulus. This design strategy was used to establish a ROI release system and its powerful performance in in vitro and in vivo applications was shown.
Langzeitbeobachtung der Therapie von Hämophilie A-Patienten mit einem humanen Faktor VIII-Konzentrat
(2019)
This doctoral thesis entitled “Long-term surveillance of the therapy of haemophilia A patients with a human plasma-derived factor VIII concentrate” was performed to assess the influence of the chronic long-term therapy with a human plasma-derived factor VIII concentrate in daily clinical practice on the health of haemophilia A patients.
Haemophilia A is a chronic disease, caused by a congenital deficiency of coagulation factor VIII, which requires life-long haemostatic treatment. The severity of bleedings, as the main clinical feature of haemophilia A, is generally correlated with the residual activity of coagulation factor VIII.
Until recently, factor VIII preparations, used to replace the deficient factor VIII, were the only treatment option for haemophilia A. Development of inhibitory antibodies against factor VIII is the most serious complication associated with the use of factor VIII products, rendering the administered factor VIII ineffective.
To date, all novel treatments still rely on some factor VIII replacement therapy. At least in the near future and probably for longer, (concomitant) therapy with factor VIII concentrates will continue to be necessary for treatment of haemophilia A, emphasising the continuous need for efficacy and safety data in terms of pharmacovigilance on factor VIII replacement therapy.
Medicines to treat haemophilia A, are authorised for use, when evidence of its efficacy and safety is limited to data of a small number of investigated patients during short-term observation periods of about six months, and thus have not been systematically assessed in all patient groups until marketing authorisation. Long-term efficacy and safety data from post-marketing surveillance are important to prove that a chronic treatment is efficacious and safe in the real-life setting by monitoring “real-life” patients of all age groups, rather than a carefully selected patient population. Medical and scientific analyses of such long-term data are crucial to detect, understand, and potentially prevent the harm resulting from (new) adverse drug reactions, including those, which only rarely occur and therefore are difficult to detect.
Therefore, data from two prospective surveillance studies investigating real-life therapies with the same human plasma derived factor VIII concentrate were combined and analysed retrospectively. It was hypothesised that the chronic long term therapy with a human plasma-derived factor VIII concentrate in daily clinical practice is effective, safe, and well tolerated with no unexpected adverse effect on the health of haemophilia A patients. It was the aim of this analysis to investigate the influence of the chronic long-term treatment with the factor VIII concentrate on the health of patients with severe as well as nonsevere haemophilia A including all age groups in a real-life setting. In addition, the influence of prophylactic factor VIII treatment or the switch to this regimen on the annual bleeding rate of all haemophilia A patients, and the long-term effects of this regimen on the patients’ annual bleeding rates were investigated.
Starting in 1998 until 2015, data of 1418 patient-years from 198 haemophilia A patients representing all age groups and haemophilia A severities were analysed. This study covered 18 years of documentation time with a mean observation period of more than seven years per patient. It is the longest study of a single factor VIII concentrate conducted so far, investigating the therapy of haemophilia A. The only observed side effects involved low incident factor VIII inhibitor formation in patients at risk (13 % of previously untreated patients, compared with usually about 30 %). Factor VIII inhibitor development was mainly transient, with low titers, and without clinical relevance. Any, even low frequent prophylaxis was found to be significantly better than on demand and had the greatest effect on the annual bleeding rate of patients, irrespective of their age or haemophilia A severity. Patients suffered during continuous prophylaxis from a very low bleeding rate (median 1.3 compared with 31.4 under on demand), down to no bleeding per year. Patients whose regimen changed to continuous prophylaxis benefitted most (median annual bleeding rate 1.1), irrespective of age or haemophilia A severity.
This analysis demonstrates that the chronic long-term therapy with the plasma-derived factor VIII concentrate in daily clinical practice is effective, safe, and well tolerated. Thus, data on efficacy and safety obtained during chronic long-term therapy with the human plasma-derived factor VIII concentrate reaffirm that there is no unexpected adverse effect on the health of haemophilia A patients.
These results support the therapeutic concept of a life-long prophylaxis of haemophilia A patients with a human plasma-derived factor VIII concentrate.
Cardiovascular diseases are a leading cause of morbidity and mortality worldwide. Aging inflicts structural and molecular changes on the heart that oftentimes involve ischemic events, cardiomyocyte apoptosis and cardiac stiffening, which makes it a major risk factor for cardiovascular disease. After being disregarded as transcriptional noise for a long time, long non-coding RNAs have lately emerged as key regulators of many cellular processes in physiology and disease of virtually all tissues and organs, with some of them being differentially regulated during aging.
This study identified a long non-coding transcript antisense to the OXCT1 gene locus, Sarrah, to be downregulated in the heart during aging, after acute myocardial infarction and upon heart failure with preserved ejection fraction. Sarrah is expressed in several cardiac cell types with highest levels in cardiomyocytes, where it is predominantly localized in the nucleus. In mouse and human cardiomyocytes, Sarrah levels are reduced upon exposure to hypoxia or treatment with hypoxiamimetic agents in vitro.
Sarrah exerts an anti-apoptotic function in mouse and human cardiomyocytes as assessed from caspase activity and annexin V staining. Histological stainings of Sarrah-depleted human engineered heart tissue organoids and Sarrah overexpressing infarcted mouse hearts confirmed its anti-apoptotic function. Sarrah also plays a role in cardiomyocyte contractility, which is substantially impaired upon Sarrah silencing in human engineered heart tissue and neonatal rat cardiomyocytes. Additionally, cardiomyocytal Sarrah stimulates endothelial cell proliferation via paracrine effects as observed after Sarrah overexpression in mouse hearts as well as in co-culture settings with human endothelial cells and Sarrah-depleted or Sarrah overexpressing human cardiomyocytes. A microarray analysis revealed that silencing Sarrah in human cardiomyocytes induced apoptosisrelated gene expression. Mechanistically, Sarrah was predicted to form triplexes in human and mouse with promoters of genes downregulated, but not upregulated after Sarrah knockdown, suggesting that Sarrah interacts with target genes to activate their transcription. This interaction was confirmed in vitro using nucleic acid oligonucleotides containing the sequences of the Sarrah triplex motif and the Sarrah binding site of the exemplary target gene GPC6 of both human and mouse. RNA immunoprecipitation experiments in human cells demonstrated that Sarrah is associated with open chromatin, transcription factor CRIP2, transcriptional co-activator p300 and DNA-RNA hybrid structures that also occur in Sarrah target gene promoters, which indicated that Sarrah activates gene expression by triplex formation and recruitment of protein interaction partners. Deleting the triplex motif of endogenous Sarrah in mouse cardiomyocytes augmented apoptosis, showing that triplex formation is of functional relevance for Sarrah action.
Finally, overexpressing Sarrah in an acute myocardial infarction mouse model improved recovery of cardiac contractile function as assessed from ejection fraction, stroke volume, wall motion and wall thickness measured by echocardiography and magnetic resonance imaging. Infarct size was substantially reduced in Sarrah overexpressing mice compared with controls. This in vivo study implies that restoring Sarrah levels in the aged or infarcted heart bears significant therapeutic potential, which can be attributed to the combination of three Sarrah effects: increased cardiomyocytes survival, enhanced contractility of individual cardiomyocytes and paracrine stimulation of endothelial cell proliferation likely contributing to increased angiogenesis and tissue perfusion.
In summary, cardiac lncRNA Sarrah is evolutionary conserved with regard to its genomic locus, function and molecular mechanism. Via triplex formation with gene promoters, it is capable to activate a set of target genes that together mediate the anti-apoptotic and pro-contractile function of Sarrah in cardiomyocytes and that confer angiogenic effects to endothelial cells. A therapeutic utilization of Sarrah in the context of myocardial ischemia is conceivable in the future if Sarrah upregulation proves to be beneficial in further studies.
As its fundamental function, the brain processes and transmits information using populations of interconnected nerve cells alias neurons. The communication between these neurons occurs via discrete electric impulses called spikes. A core challenge in neuroscience has been to quantify how much information about relevant stimuli or signals a neuron transports in its spike sequences, or spike trains. The recently introduced correlation method allows to determine this so-called mutual information in terms of a neuron’s temporal spike correlations under certain stationarity assumptions. Based on the correlation method, I address several open questions regarding neural information encoding in the cortex.
In the first part (chapter 2), I investigate the role of temporal spike correlations for neural information transmission. Temporal correlations in neuronal spike trains diminish independence in the information that is transmitted by the different spikes and hence introduce redundancy to stimulus encoding. However, exact methods to describe how such spike correlations impact information transmission quantitatively have been lacking. Here, I provide a general measure for the information carried by spike trains of neurons with correlated rate modulations only, neglecting other spike correlations, and use it to investigate the effect of rate correlations on encoding redundancy. I derive it analytically by calculating the mutual information between a time correlated, rate-modulating signal and the resulting spikes of Poisson neurons. Whereas this information is determined by spike autocorrelations only, the redundancy in information encoding due to rate correlations depends on both the distribution and the autocorrelation of the rate histogram. I further demonstrate that, at very small signal strengths, the information carried by rate correlated spikes becomes identical to that of independent spikes, in effect measuring the rate modulation depth. In contrast, a vanishing signal correlation time maximizes information transmission but does not generally yield the information of independent spikes.
In the second part (chapter 3), I analyze the information transmission capabilities of two particular schemes of encoding stimuli in the synaptic inputs using integrate-and-fire neuron models. Specifically, I calculate the exact information contained in spike trains about signals which modulate either the mean or the variance of the somatic currents in neurons, as is observed experimentally. I show that the information content about mean modulating signals is generally substantially larger than about variance modulating signals for biological parameters. This result provides evidence, by means of exact calculations of the mutual information, against the potential benefit of variance encoding that had been suggested previously.
Another analysis reveals that higher information transmission is generally associated with a larger proportion of nonlinear signal encoding. Moreover, I show that a combination of signal-dependent mean and variance modulations of the input current can synergistically benefit information transmission through a nonlinear coupling of both channels. On a more general level, I identify what was previously considered an upper bound as the exact, full mutual information. Furthermore, by analyzing the statistics of the spike train Fourier coefficients, I identify the means of the Fourier coefficients as information-carrying features.
Overall, this work contributes answers to central questions of theoretical neuroscience concerning the neural code and neural information transmission. It sheds light on the role of signal-induced temporal correlations for neural coding by providing insight into how signal features shape redundancy and by establishing mathematical links between existing methods and providing new insights into the spike train statistics in stationary situations. Moreover, I determine what fraction of the mutual information is linearly decodable for two specific signal encoding schemes.
The diffusive behavior of macromolecules in solution is a key factor in the kinetics of macromolecular binding and assembly, and in the theoretical description of many experiments. Experiments on high-density protein solutions have found that a slow down of the diffusion dynamics is larger than expected from colloidal theory for non-interaction hard-spheres. It has also been shown that the rotational diffusion anisotropy in high-density protein solutions is larger than in dilute ones. High-density protein solutions are a complex fluid that is different from the neat fluid assumption used in the hydrodynamic theory. It is therefore important to have methods to accurately calculate the translational and rotational diffusion tensor from simulations as well as simulation algorithms to explore high-density solutions.
Simulations provide a powerful tool to study diffusion in complex fluids. They can be used to study the macroscopic and microscopic effects of complex fluids on the diffusive behavior. There has been already a lot of work done to accurately simulate diffusion and to determine the diffusion coefficients from simulations.
The translational diffusion of molecules in simple and complex liquids can be determined with high accuracy from simulations. This is not yet the case for rotational diffusion. Existing algorithms to calculate the rotational diffusion coefficients from simulations make assumptions about the shape of the protein or only work at short times. For the simulation of diffusive behavior of macromolecules two options exist today. An all-atom integrator with explicit solvent molecules or coarse-grained (CG) simulations with an implicit solvent. CG simulations of dynamic behavior with implicit solvent are also called Brownian dynamics (BD) simulations. For the CG simulations the Ermak-McCammon algorithm is often used to solve the underlying Langevin equation. The algorithm is an extension of the Euler-Maruyama integrator to include translation and rotation in three dimensions. This algorithm only correctly reproduces the equilibrium probability for short time-steps and the error depends linearly on the time-step. It has been shown that Monte Carlo based algorithms can produce BD for translational dynamics, when appropriately parametrized. The advantage of Monte Carlo based algorithm is that they will reproduce the correct equilibrium distribution independent of the chosen time-step. This in return allows choosing larger time-steps in simulations. The aim of this thesis is to develop novel´methods to accurately determine the rotational diffusion coefficient from simulations and extend existing Monte Carlo algorithms to include rotational dynamics.
The first project addresses the question of how to accurately determine the rotational diffusion coefficients from simulations. We develop a quaternion based method to calculate the rotational diffusion tensor from simulations and a theory for the effects of periodic boundary conditions (PBC) on the rotational diffusion coefficient in simulations.
Our method for calculating rotational diffusion coefficients is based on the quaternion covariances from Favro for a freely rotating rigid molecule. The covariances as formulated by Favro are only valid in the principal coordinate system (PCS) of the rotation diffusion tensor. The covariances can be generalized for an arbitrary reference coordinate system (RCS), i.e., a simulation, given the principle axes of the rotational diffusion tensor in the RCS. We show that no prior knowledge of the diffusion tensor and its principal axes is required to calculate the generalized covariances from simulations using common root-mean-square distance (RMSD) procedures. We develop two methods to fit the covariances calculated from simulations to our generalized equations to fit the rotational diffusion tensor. In the first method we minimize the sum of the squared error deviations between model and simulation data. For this six dimensional optimization we use a simulated annealing algorithm. Alternatively the rotational diffusion tensor can also be determined from a eigenvalue decomposition of covariance after integration. To minimize the effects of sampling noise in the integration we first apply a Laplace-transformation to smooth the covariances at large times. For ideal sampling the resulting rotational diffusion coefficient should be independent of the value of the Laplace variable. In practice, however, the best results are achieved using a value close to the inverse autocorrelation time of the rotational motion.
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Autophagy, meaning “self-eating”, is an important cellular waste disposal mechanism. Thereby, damaged proteins, lipids and organelles are enclosed by autophagosomes and subsequently transported to the lysosomes for degradation into basic, cellular building blocks. Under basal conditions autophagy prevents the accumulation of defective and harmful material and generally promotes cell survival. However, several studies reported that hyperactivated autophagy, e.g. during developmental processes in lower eukaryotes, or during chemotherapeutic treatment of cancer cells, can also trigger cell death.
In recent years, autophagic cell death (ACD) has been considered as an alternative cell death pathway for tumor therapy, especially for solid tumors with high apoptosis resistance such as glioblastoma. Glioblastoma (GBM) is a very aggressive, malignant primary brain tumor with a median survival of ~ 15 months despite surgery and chemoradiotherapy. Accordingly, there is a great interest in improving GBM therapy through alternative cell death mechanisms. Interestingly, it has been shown that various substances, e.g. AT 101, cannabinoids and the combination of imipramine and ticlopidine (IM+TIC), induce ACD in GBM cells.
The aim of this project was to identify the underlying mechanisms of stress- and drug-induced ACD and its therapeutic potential for glioblastoma treatment. For detailed investigation of ACD, a CRISPR/Cas9-based approach was used to generate ATG5 and ATG7 knockouts as genetic models of autophagy deficiency. In a previous study of our lab it was demonstrated that administration of AT 101 triggers ACD in glioblastoma cells, which was associated with early mitochondrial fragmentation but no signs of apoptosis. Since mitochondrial fragmentation often precedes mitophagy, the first part of this thesis explored the potential role of mitophagy in AT 101-induced cell death.
ATG5-depleted cells confirmed that AT 101 induces ACD. In addition, treatment with AT 101 resulted in a pronounced mitochondrial depolarization, which was at least partly caused by the opening of the mitochondrial permeability pore. Global proteome analysis of AT 101-treated GBM cells revealed a robust decrease in mitochondrial protein clusters as well as a strong increase in the enzyme heme oxygenase-1 (HMOX1). Subsequent experiments for detailed investigation of mitophagy following AT 101 treatment (western blot, flow cytometric MTG and mt-mKeima, qRT-PCR of mitochondrial vs nuclear DNA) consistently indicated strong mitophagy induction by AT 101, which could be reduced by genetic or pharmacological inhibition of autophagy. Furthermore, siRNA-mediated knockdown experiments revealed that the selective mitophagy receptors BNIP3 and BNIP3L and the HMOX1 enzyme play an essential role in AT 101-induced mitophagy and subsequent cell death. Taken together, these data demonstrate that AT 101-induced mitochondrial dysfunction and HMOX1 induction synergize to promote excessive mitophagy with a lethal outcome in glioma cells.
The second part of this thesis focused on the identification of new substances that cause ACD and the investigation of the underlying cell death pathways. Using a cell death screen of the ENZO Screen-Well™ autophagy library in MZ-54 wild-type vs ATG5 and ATG7-depleted cells, loperamide, pimozide, and STF-62247 were identified as ACD-inducing agents. The increase of the autophagic flux and the induction of ACD by these substances was confirmed by using different ATG5 and ATG7 knockout cell lines and the already established positive control IM+TIC.
In contrast to AT 101, IM+TIC, STF-62247, loperamide and pimozide produced neither mitochondrial dysfunction nor mitophagy. Interestingly, it has been described that imipramine, loperamide and pimozide inhibit the lysosomal enzyme acid sphingomyelinase, which is associated with impaired lipid transport. Global proteome analysis and cholesterol staining confirmed that all four substances, but especially loperamide and pimozide, inhibit cellular lipid transport, leading to massive lipid accumulation in the lysosomes. In the further course of the experiments, the connection between defective lipid transport and autophagy was investigated in more detail. On the one hand, the defective lipid transport contributed to the induction of autophagy, on the other hand the massive accumulation of lipids led to lysosomal membrane damage, inhibition of lysosomal degradation at later time points and finally to a lysosomal cell death. Remarkably, it has been shown that hyperactivated autophagy by IM+TIC, loperamide and pimozide massively promotes lysosomal membrane damage. This result highlights the difficulties of a clear distinction between autophagic and lysosomal cell death.
In summary, two new signaling pathways that induce autophagic cell death in GBM cells and may be relevant for glioblastoma therapy were investigated in this study.
Multi-view microscopy techniques are used to increase the resolution along the optical axis for 3D imaging. Without this, the resolution is insufficient to resolve subcellular events. In addition, parts of the images of opaque specimens are often highly degraded or masked. Both problems motivate scientists to record the same specimen from multiple directions. The images, then have to be digitally fused into a single high-quality image. Selective-plane illumination microscopy has proven to be a powerful imaging technique due to its unsurpassed acquisition speed and gentle optical sectioning. However, even in the case of multi view imaging techniques that illuminate and image the sample from multiple directions, light scattering inside tissues often severely impairs image contrast.
Here we show that for c-elegans embryos multi view registration can be achieved based on segmented nuclei. However, segmentation of nuclei in high density distribution like c-elegans embryo is challenging. We propose a method which uses 3D Mexican hat filter for preprocessing and 3D Gaussian curvature for the post-processing step to separate nuclei. We used this method successfully on 3 data sets of c-elegans embryos in 3 different views. The result of segmentation outperforms previous methods. Moreover, we provide a simple GUI for manual correction and adjusting the parameters for different data.
We then proposed a method that combines point and voxel registration for an accurate multi view reg- istration of c-elegans embryo, which does not need any special experimental preparation. We demonstrate the performance of our approach on data acquired from fixed embryos of c-elegans worms. This multi step approach is successfully evaluated by comparison to different methods and also by using synthetic data. The proposed method could overcome the typically low resolution along the optical axis and enable stitching to- gether the different parts of the embryo available through the different views. A tool for running the code and analyzing the results is developed.
Viele Methoden wurden in dieser Arbeit vorgestellt, die sich mit dem Hauptziel der automatischen Dokumentenanalyse auf semantischer Ebene befassen. Um das Hauptziel zu erreichen, mussten wir jedoch zunächst eine solide Basis entwickeln, um das Gesamtbild zu vervollständigen. So wurden verschiedene Methoden und Werkzeuge entwickelt, die verschiedene Aspekte des NLP abdecken. Das Zusammenspiel dieser Methoden ermöglichte es, unser Ziel erfolgreich zu erreichen. Neben der automatischen Dokumentenanalyse legen wir großen Wert auf die drei Prinzipien von Effizienz, Anwendbarkeit und Sprachunabhängigkeit. Dadurch waren die entwickelten Tools für die Anwendungen bereit. Die Größe und Sprache der zu analysierenden Daten ist kein Hindernis mehr, zumindest für die im Bezug auf die von Wikipedia unterstützten Sprachen.
Einen großen Beitrag dazu leistete TextImager, das Framework, dass für die zugrunde liegende Architektur verschiedener Methoden und die gesamte Vorverarbeitung der Texte verantwortlich ist. TextImager ist als Multi-Server und Multi-Instanz-Cluster konzipiert, sodass eine verteilte Verarbeitung von Daten ermöglicht wird. Hierfür werden Cluster-Management-Dienste UIMA-AS und UIMA-DUCC verwendet. Darüber hinaus ermöglicht die Multi-Service-Architektur von TextImager die Integration beliebiger NLP-Tools und deren gemeinsame Ausführung. Zudem bietet der TextImager eine webbasierte Benutzeroberfläche, die eine Reihe von interaktiven Visualisierungen bietet, die die Ergebnisse der Textanalyse darstellen. Das Webinterface erfordert keine Programmierkenntnisse - durch einfaches Auswählen der NLP-Komponenten und der Eingabe des Textes wird die Analyse gestartet und anschließend visualisiert, so dass auch Nicht-Informatiker mit diesen Tools arbeiten können.
Zudem haben wir die Integration des statistischen Frameworks R in die Funktionalität und Architektur von TextImager demonstriert. Hier haben wir die OpenCPU-API verwendet, um R-Pakete auf unserem eigenen R-Server bereitzustellen. Dies ermöglichte die Kombination von R-Paketen mit den modernsten NLP-Komponenten des TextImager. So erhielten die Funktionen der R-Pakete extrahierte Informationen aus dem TextImager, was zu verbesserten Analysen führte.
Darüber hinaus haben wir interaktive Visualisierungen integriert, um die von R abgeleiteten Informationen zu visualisieren.
Einige der im TextImager entwickelten Visualisierungen sind besonders herausragend und haben in vielen Bereichen Anwendung gefunden. Ein Beispiel dafür ist PolyViz, ein interaktives Visualisierungssystem, das die Darstellung eines multipartiten Graphen ermöglicht. Wir haben PolyViz anhand von zwei verschiedenen Anwendungsfällen veranschaulicht.
SemioGraph, eine Visualisierungstechnik zur Darstellung multikodaler Graphen wurde auch vorgestellt. Die visuellen und interaktiven Funktionen von SemioGraph wurden mit einer Anwendung zur Visualisierung von Worteinbettungen vorgestellt. Wir haben gezeigt, dass verschiedene Modelle zu völlig unterschiedlichen Grafiken führen können. So kann Semiograph bei der Suche nach Worteinbettungen für bestimmte NLP-Aufgaben helfen.
Inspiriert von all den Textvisualisierungen im TextImager ist die Idee für text2voronoi geboren. Hier stellten wir einen neuartigen Ansatz zur bildgetriebenen Textklassifizierung vor, der auf einem Voronoi-Diagram linguistischer Merkmale basiert. Dieser Klassifikationsansatz wurde auf die automatische Patientendiagnose angewendet und wir haben gezeigt, dass wir das traditionelle Bag-Of-Words-Modell sogar übertreffen. Dieser Ansatz ermöglicht es, die zugrunde liegenden Merkmale anschließend zu analysieren und damit einen ersten Schritt zur Lösung der Black Box zu machen.
Wir haben text2voronoi auf literarische Werke angewendet und die entstandenen Visualisierungen auf einer webbasierten Oberfläche (LitViz) präsentiert. Hier ermöglichen wir den Vergleich von Voronoi-Diagrammen der verschiedenen Literaturen und damit den visuellen Vergleich der Sprachstile der zugrunde liegenden Autoren.
Mit unserer Kompetenz in der Vorverarbeitung und der Analyse von Texten sind wir unserem Ziel der semantischen Dokumentenanalyse einen Schritt näher gekommen. Als nächstes haben wir die Auflösung der Sinne auf der Wortebene untersucht. Hier stellten wir fastSense vor, ein Disambigierungsframework, das mit großen Datenmengen zurecht kommt. Um dies zu erreichen, haben wir einen Disambiguierungskorpus erstellt, der auf Wikipedias 221965 Disambiguierungsseiten basiert, wobei die sich auf 825179 Sinne beziehen. Daraus resultierten mehr als 50 Millionen Datensätze, die fast 50 GB Speicherplatz benötigten. Wir haben nicht nur gezeigt, dass fastSense eine so große Datenmenge problemlos verarbeiten kann, sondern auch, dass wir mit unseren Wettbewerbern mithalten und sie bei einigen NLP-Aufgaben sogar übertreffen können.
Jetzt, da wir den Wörtern Sinne zuordnen können, sind wir der semantischen Dokumentenanalyse einen weiteren Schritt näher gekommen. Je mehr Informationen wir aus einem Text und seinen Wörtern gewinnen können, desto genauer können wir seinen Inhalt analysieren. Wir stellten zudem einen netzwerktheoretischen Ansatz zur Modellierung der Semantik großer Textnetzwerke am Beispiel der deutschen Wikipedia vor. Zu diesem Zweck haben wir einen Algorithmus namens text2ddc entwickelt, um die thematische Struktur eines Textes zu modellieren. Dabei basiert das Modell auf einem etablierten Klassifikationsschema, nämlich der Dewey Decimal Classification. Mit diesem Modell haben wir gezeigt, wie man aus der Vogelperspektive die Hervorhebung und Verknüpfung von Themen, die sich in Millionen von Dokumenten manifestiert, darstellt. So haben wir eine Möglichkeit geschaffen, die thematische Dynamik von Dokumentnetzwerken automatisch zu visualisieren. Die Trainings- und Testdaten, die wir in diesem Kapitel hatten, bestanden jedoch hauptsächlich aus kurzen Textausschnitten. Zudem haben wir DDC Korpora erstellt, indem wir Informationen aus Wikidata, Wikipedia und der von der Deutschen Nationalbibliothek verwalteten Gemeinsamen Normdatei (GND) vereinigt haben. Auf diese Weise konnten wir nicht nur die Datenmenge erhöhen, sondern auch Datensätze für viele bisher unzugängliche Sprachen erstellen. Wir haben text2ddc so weit optimiert, dass wir einen F-score von 87.4% erzielen für die 98 Klassen der zweiten DDC-Stufe. Die Vorverarbeitung von TextImager und die Disambiguierung durch fastSense hatten einen großen Einfluss darauf. Für jedes Textstück berechnet text2ddc eine Wahrscheinlichkeitsverteilung über die DDC-Klassen berechnen
Der klassifikatorinduzierte semantische Raum von text2ddc wurde auch zur Verbesserung weiterer NLP-Methoden genutzt. Dazu gehört auch text2wiki, ein Framework für automatisches Tagging nach dem Wikipedia-Kategoriensystem. Auch hier haben wir einen klassifikatorinduzierten semantischen Raum, aber diesmal basiert er auf dem Wikipedia-Kategoriensystem. Ein großer Vorteil dieses Modells ist die Präzision und Tiefe der behandelten Themen und das sich ständig weiterentwickelnde Kategoriesystem. Damit sind auch die Kriterien eines offenen Themenmodells erfüllt. Um die Vorteile von text2wiki zu demonstrieren, haben wir anschließend die von text2wiki bereitgestellten Themenvektoren verwendet, um text2ddc zu verbessern, so dass sich beide Systeme gegenseitig verbessern können. Die Synergie zwischen den erstellten Methoden in dieser Dissertation war entscheidend für den Erfolg jeder einzelnen Methode.
Antagonistic and mutualistic species interactions provide important ecosystem functions affecting plant population dynamics and distribution. Many of these functions are important for the regeneration of plants, either by limiting or facilitating successful transition between life stages. Interactions can occur across the whole geographical range of a species and thereby encompass different environmental gradients, such as changes in temperature or water availability. Understanding the joint effects of species interactions and environmental factors on the regeneration of plants is key for understanding plant population dynamics under global change and could provide important recommendations for managing and conservation efforts.
My thesis aimed at advancing the knowledge of how species interactions depend on environmental conditions and jointly affect plant recruitment along the elevational distribution of plants. This thesis includes three chapters in which I studied the effects of animal seed deposition, seed predation, mycorrhizal and pathogenic fungi occurrences as well as abiotic and biotic environmental factors on the recruitment of Swiss stone pine (Pinus cembra). I conducted fieldwork in the Swiss Alps across the entire elevational distribution of the pine (1850 – 2250 m a.s.l). Over a period of three years, I recorded animal seed deposition by spotted nutcrackers (Nucifraga caryocatactes) and conducted seed translocation experiments. Further, I assessed fungal communities using DNA metabarcoding. I measured abiotic environmental factors such as temperature, water and light availability, pH, as well as biotic environmental factors such as distance to conspecific adults and ground vegetation cover. In my thesis, I used a broad range of community ecology approaches, from seed dispersal ecology to experimental plant ecology and microbial ecology.
First, I investigated the effects of environmental factors on four recruitment processes (i.e. seed deposition, seed predation, seed germination, seedling survival) of Swiss stone pine. Further, I aimed at identifying the most important recruitment processes potentially limiting pine regeneration across its elevational range. To investigate pine recruitment, I firstly tested how seed deposition, seed predation, seed germination and seedling survival were affected by the microhabitat characteristics ultimately determining where a seed arrives in the environment (i.e. canopy cover & ground vegetation cover). Secondly, I applied a sensitivity analysis to investigate which of the four recruitment processes poses limitation to the pines’ regeneration across its range. My results reveal that the importance of particular recruitment processes varies along the pines’ elevational range. I found that at the lower range margin and the distribution centre seed germination and seedling survival were the main limiting factors, whereas animal-mediated seed dispersal became especially important at the upper range margin. My study contributes to the field with a new approach for disentangling the relative importance of recruitment processes across environmental gradients and thereby could help to project how plant recruitment might respond to future changes in environmental conditions.
The second aim of my study was to investigate how abiotic and biotic environmental factors affect the occurrence of Swiss stone pine-associated pathogenic and mutualistic fungi by combining field measurements of environmental factors with a DNA metabarcoding approach. I identified potentially important fungal interaction partners of the pine and determined drivers shaping their occurrences. My results reveal that generalist fungi were not affected by abiotic and biotic environmental factors. However, specialist pathogens showed patterns according to the Janzen-Connell framework (i.e. accumulation of pathogen close to adult plants). Interestingly, I found evidence for an “inverse” Janzen-Connell effect, i.e. high abundance of a specialist mutualist close to adult plants, potentially mitigating effects of soil pathogens close to parent trees. Further, I found that pine-associated fungi are distributed widely within and beyond the range of their host plant, adding knowledge on how mutualisms and antagonisms might be affected when plants move their distributional range upwards.
Finally, I investigated how known and unknown plant-associated fungi affect the regeneration of Swiss stone pine in an environmental context. My results suggest that seedling establishment was most strongly affected by abiotic environmental factors, such as light availability and maximum summer temperature. Further, the results indicate that seedling survival was affected by biotic environmental factors, i.e. fungal agents, with high abundances of a known fungal pathogen co-occurring with low seedling survival rates. My results also reveal that known mycorrhizal partners as well as a large number of unknown fungal operational taxonomic units (OTUs) were associated with the survival of seedlings. My findings highlight the importance of plant-fungal interactions for plant recruitment and offer a feasible approach for the identification of hidden plant-fungal associations in highly complex DNA metabarcoding datasets. This approach offers a valuable tool for investigating plant-microbe interactions, ultimately helping to understand plant population dynamics.
My dissertation adds to a deeper understanding on the linkage between plant regeneration and species interactions, especially on how plant-animal and plant-fungal interactions in concert with environmental factors shape plant recruitment. My study reveals the importance of animal-mediated seed dispersal and fungal pathogens in plant recruitment with consequences for potential range shifts of plant species. My thesis has important implications for conservation and management efforts by informing on key species interactions under environmental change.
Durch natürliche Selektion werden Funktionen, die dem Überleben und dem Fortpflanzungserfolg eines Organismus dienen, optimiert. Da die Struktur eines Organs dessen Funktion und umgekehrt die Funktion eines Organs dessen Struktur bestimmt, kann durch das Studium der Morphologie die Funktionsweise von Organen verstanden werden. Trotz des umfangreichen Wissens über die Struktur von Nervensystemen sowohl auf mikro- als auch auf makroskopischer Ebene, ist es weiterhin unklar, wie Bewusstsein und ein kohärentes Abbild der Umwelt im Gehirn erzeugt werden. Der Grund hierfür ist vor allem die gewaltige Komplexität neuronaler Netzwerke, die unmöglich geistig erfasst werden können. Eine Möglichkeit, das Gehirn ohne das detaillierte Wissen über all seine Bestandteile zu verstehen, bietet das Studium von Optimierungsprinzipien und deren Anwendung in theoretischen Modellen. So wie eingangs erwähnt die Funktion von Organen durch natürliche Selektion optimiert wird, sollte auch die Funktion neuronaler Netzwerke optimiert werden und neuronale Netzwerke sollten entsprechend solcher Optimierungsprinzipien aufgebaut sein. Ein wichtiges Prinzip, das essenziell für die Effizienz neuronaler Netzwerke ist, ist die Minimierung der Verbindungslänge zwischen Neuronen. Basierend auf diesem Prinzip wurde im Rahmen dieser Dissertation eine algorithmische Methode etabliert, die es ermöglicht Vorhersagen der relativen Position von Neuronen anhand ihrer Verbindungen zu treffen. Diese neuronale Platzierungsmethode beruht darauf, dass Neuronen mit ähnlicher Verbindungsnachbarschaft näher zueinander platziert werden als zu Neuronen mit weniger ähnlichen Verbindungsnachbarn, wodurch die durchschnittliche Verbindungslänge minimiert wird. Nach der Etablierung dieser Methode, wurde diese benutzt um Modelle zu erstellen, die es ermöglichen die Entstehung neuronaler Karten und kortikaler Faltungen im Zusammenhang mit der Konnektivität und der Anzahl der Neuronen zu untersuchen.
Neuronale Karten sind geordnete Muster auf der Oberfläche des Kortex, die durch die präferierte Aktivität einzelner Neuronen in Antwort auf Stimuli einer Modalität beobachtet werden können. Im visuellen Kortex existieren sogar mehrere Karten, je nachdem welche Qualität visueller Stimuli man betrachtet. Abhängig von der Präferenz für einen Sehwinkel, ein stimuliertes Auge oder der Orientierung eines Balken-Stimulus, können retinotopische Karten, Karten mit streifenartigen Mustern oder Karten mit sogenannten „Pinwheel“-Strukturen beobachtet werden. Pinwheels sind periodische Strukturen, die sichtbar werden indem man die Orientierungspräferenz von Neuronen für die spezifische Orientierung eines Balken-Stimulus mit der entsprechenden Farbe des Farbkreises visualisiert. Da diese Strukturen eine Ähnlichkeit mit bunten Windrädern haben, werde sie als Pinwheels bezeichnet. Die in dieser Dissertation erstellten Modelle sagen vorher, dass die Entstehung strukturierter neuronaler Karten im Allgemeinen von der Anzahl der Neuronen abhängt. In der Tat könnte diese Abhängigkeit auch für neuronale Karten im Kortex gelten. Während strukturierte Karten im visuellen Kortex in verschiedenen Säugerordnungen wie Primaten, Karnivoren und Huftieren existieren, sind sie in kleinen Nagern mit weniger Neuronen nicht vorhanden, trotz ähnlicher Verbindungsspezifizität. Folglich müssen Unterschiede in der Struktur neuronaler Karten im Kortex nicht zwangsläufig mit einer unterschiedlichen Funktionsweise zusammenhängen, sondern könnten auch durch allgemeine Optimierungsprinzipien beim Aufbau neuronaler Netzwerke bedingt werden. Eine weitere Gemeinsamkeit zwischen verschiedenen Säugetierordnungen ist, dass die relative Dichte der Pinwheels ziemlich genau bei der Zahl Pi liegt. Entsprechend der Ergebnisse dieser Dissertation könnte dies dadurch erklärt werden, dass für neuronale Karten ähnlicher Struktur die Anzahl der Neuronen pro Pinwheel relativ konstant ist. Unterschiede in der räumlichen Dichte der Pinwheels könnten dann einfach durch Unterschiede in der Dichte der Neuronen erklärt werden.
Neben den Modellen für neuronale Karten wurde im Rahmen dieser Dissertation auch ein Modell kortikaler Faltungen mit derselben neuronalen Platzierungsmethode erstellt. Die Existenz kortikaler Faltungen wird gemeinhin damit erklärt, dass der Kortex ohne Faltungen wegen seiner verhältnismäßig großen Oberfläche nicht in den Schädel gepackt werden könnte. Allerdings haben Experimente gezeigt, dass die Faltungen nicht durch eine Restriktion des wachsenden Kortex an der Schädeloberfläche entstehen, da auch mit mehr Platz für die Expansion des Kortex die gleichen Faltungsmuster exprimiert werden. Interessanterweise entstehen die kortikalen Faltungen erst, wenn die Proliferation der Neuronen während der Entwicklung größtenteils abgeschlossen ist und die Neuronen anfangen ihre Verbindungen auszubilden. Um kortikale Faltungen basierend auf der Konnektivität zwischen Neuronen im Modell vorherzusagen, genügt es das allgemeine Muster einer starken lokalen, aber schwachen globalen Konnektivität zwischen Neuronen nachzubilden. Abhängig von Variationen dieser Konnektivität, der Anzahl der kortikalen Kolumnen und der Neuronenanzahl innerhalb dieser Kolumnen, können im Modell viele Eigenschaften kortikaler Faltungsmuster in Säugetieren vorhergesagt werden. Ähnlich wie in Säugetieren ist der Faltungsgrad der vom Modell vorhergesagt wird von dem Verhältnis zwischen Parametern, die die Größe und Dicke des Kortex beschreiben, abhängig. Dementsprechend werden mehr und mehr Faltungen mit steigender Anzahl der Kolumnen, aber gleicher Anzahl von Neuronen pro Kolumne vorhergesagt. Wie in Säugetieren entstehen dabei auch die größeren primären Faltungen zuerst bevor es innerhalb der größeren Faltungen zu kleineren Faltungen höherer Ordnung kommt. Neben der Abhängigkeit des Faltungsgrads von der Größe des Kortex können Variationen in der Konnektivität erklären, wie es einerseits zu stereotypischen Faltungsmustern kommen kann, aber andererseits auch warum der Faltungsgrad zwischen verschiedenen Säugerordnungen unterschiedlich mit der Größe des Kortex skaliert. Letztlich könnten pathologische Veränderungen der Konnektivität zu den entsprechenden Änderungen im Faltungsmuster führen.
Insgesamt wurde in dieser Arbeit gezeigt, dass mittels einfacher Prinzipien, die die Verbindung zwischen Neuronen und deren relative Position zueinander beschreiben, komplexe neuroanatomische Strukturen vorhergesagt werden können. Da mit derselben Methode zur neuronalen Platzierung sowohl neuronale Karten als auch kortikalen Faltungen, also sehr unterschiedliche Strukturen vorhergesagt werden konnten, stellt sich die Frage, ob diese Strukturen durch einen gemeinsamen biologischen Mechanismus entstehen. Neuronale Zugkräfte sind ein möglicher Mechanismus, der die Entstehung kortikaler Faltungen erklären könnte. Auch wenn es eher unwahrscheinlich ist, dass die Entstehung neuronaler Karten von Zugkräften zwischen Neuronen abhängt, kann es nicht vollständig ausgeschlossen werden. Ob solche Kräfte an der Selbstorganisation neuronaler Netzwerke beteiligt sein könnten, ist eine interessante Fragestellung für zukünftige empirische Studien.
This doctoral thesis deals with the structural and dynamical NMR characterization of biomolecules, covering a broad range of proteins, from small peptides to large GPCRs proteins. This work consists of two projects, which are presented in chapter II and III. Chapter II is focused on the structural screening of peptides and small proteins ranging from 14 to 71 amino acids, while chapter III describes the structure and light dynamics of the disease relevant rhodopsin G90D mutant. The main method used to investigate both types of proteins is NMR spectroscopy. Both chapters comprise individual general introduction, materials and methods, results and discussion sections, and a final conclusion paragraph.
‘Chapter I: Methodological aspects of protein NMR spectroscopy’ presents an overview of different NMR methods developed for the rapid characterization of protein structure and dynamics. Multidimensional NMR, which is routinely used in structural biology, is indispensable for protein structure determination in solution. However, detailed information with resolution at the atomic level is time consuming and requires weeks of expensive measurement time, followed by the manual data analysis. Therefore, the development of time-saving NMR techniques is highly required for screening studies of a large amount of proteins, and can be also helpful for studying unstable biomolecules, as their short lifetime often restricts the experimental procedure.
This chapter covers the two main approaches to accelerate a multidimensional NMR experiment: fast-pulsing techniques that aim to reduce the duration of an individual measurement, and non-uniform sampling technique (NUS), which was developed to reduce the overall number of increments in virtual time domains. A combination of both approaches, fast-pulsing and non-uniform sampling, allows speeding up the measurement time by 2-3 orders of magnitude. Furthermore, recently developed software called TA (targeted acquisition) combines various time-saving approaches, including fast-pulsing, non-uniform sampling and targeted acquisition. Targeted acquisition algorithm records a set of multidimensional NMR spectra in semi-interleaved incremental mode. This provides the ability to monitor the quality of the recorded spectra in real-time and therefore enables the completion of the experiments after the desired quality is achieved. Using this approach will greatly reduce the measurement time without losing important structural information. The implemented automated FLYA assignment further contributes to the rapid and simplified readout of the chemical shift assignment progress of the TA program. During this doctoral dissertation, the scientific collaboration with the TA software developer Prof. Vladislav Orekhov (Sweden) took place, and resulted in the successful establishing of this new NMR technology in the Schwalbe laboratory. TA is now routinely applied in Prof. Schwalbe group for the structure elucidation of small proteins.
‘Chapter II: Rapid NMR and biophysical characterization of small proteins’ describes the structural analysis of peptides and small proteins, which were recently identified within the framework of the Priority Program (SPP 2002). Due to technical limitations in detections of small systems and strict assumptions concerning the smallest size of the gene that can be translated, small open reading frames (sORFs) were excluded from the automated gene annotation for a very long time. Thanks to the newly developed computational and experimental approaches, the ability to identify and detect the small proteins consisting of less than approximately 70 amino acids sparked a growing scientific interest by microbiologist. In the past years, hundreds of new short protein sequences were discovered. Although some peptides were found to be involved in diverse essential biological processes, the functional elucidation of a large number of recently discovered peptides and small proteins remains a challenging task. It is well established that the structure of proteins is often linked to their function. However, the size of small constructs often restricts the possible diversity of secondary structure elements that might be adopted by a protein. Furthermore, as was shown for intrinsic discorded proteins (IDPs), the absence of a well-defined three-dimensional structure does not necessarily mean lack of function. Moreover, peptides, which are initially unstructured in the isolated form can fold in a stable structured conformation upon interaction with their biological partners. Solution state NMR spectroscopy is perfectly amenable for the structural characterization of systems of this size. It provides a rapid readout about the conformational state of small peptides unambiguously, distinguishing between folded, molten globule and unstructured conformations.
During this doctoral thesis the workflow protocol for fast screening of peptides and small proteins was established and applied to 20 candidates ranging from 14 to 71 amino acids, which were identified and selected by six microbiological groups, all members of the Priority Program on small proteins (SPP2002) funded by the German research foundation (DFG). The screening protocol includes sample preparation and biochemical characterization. Peptides containing less than 30 amino acids were synthesized by solid phase synthesis (SPPS), while small proteins containing more than 30 amino acids were heterologously expressed in E. coli.
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The overarching aim of this doctoral research was to examine and quantify the spatiotemporal variability in the movements of nomadic ungulates to better understand the possible drivers and characteristics of such movements as well as to examine the particular conservation challenges associated with nomadic movements.
Nominal modification in language production: Extraposition of prepositional phrases in german
(2019)
In my dissertation, I investigate the phenomenon of extraposition of PP out of NP in German in language production. Four production experiments, using the method of production of memory, and three experiments testing the acceptability of extraposition were conducted. In extraposition, a constituent is realized in a position to the right of what would be considered the canonical position. A special case is extraposition out of a nominal phrase (NP), in which a constituent is moved out of NP to the end of the utterance. The example in (1a) illustrates the canonical version, in which a prepositional phrase (PP) is adjacent to its head noun. In (1b) the PP is extraposed out of NP to the right edge of the sentence.
(1) a. Gestern hat eine Frau mit einer lauten, schrillen Stimme angerufen.
b. Gestern hat eine Frau angerufen mit einer lauten, schrillen Stimme.
There are two main aspects to consider: the length of the extraposed constituent (the PP), and the length of the intervening material. Experiment 1 investigated the influence of constituent length on extraposition. The hypothesis is that longer and more complex constituents are harder to produce and are therefore produced towards the end of the utterance. In the experiment, PPs of three different lengths (2-3, 5-6, 9-11 words) had to be reproduced in either adjacent or extraposed position. As to the length of the intervening material, the hypothesis is that sentences with more intervening material between head noun and extraposed PP will tend to be reproduced with the PP in adjacent position to the head noun. In order to test this hypothesis, the length of the intervening material (1, 2 and 4 words) was manipulated in Experiment 2. The same material was used in an acceptability experiment, using the method of magnitude estimation (Experiment 5).
Previous studies found that extraposition is preferred over verbal material only, thus Experiment 3 investigated the influence of different lengths of purely verbal intervening material. Experiment 4 was concerned with the differences between PP and RC extraposition in production.
Experiment 6 and 7 used Likert scales to assess the acceptability of extraposition. Experiment 6 investigated whether the acceptability of extraposition is influenced by the definiteness status of the NP out of which is extraposed and if a soft constraint for definiteness can be found for PP extraposition in German. Experiment 7 asked if the inner structure of the extraposed constituent (PP only vs. PP+RC) influences its acceptability. An extraposed PP that includes an RC should be "heavier" than a PP without an RC, since the number of phrasal nodes is higher. If indeed heavier constituents are realized at the end of an utterance, the acceptability of an extraposed PP that includes an RC should be higher than that of an extraposed PP without one.
The results of the production experiments show that sentences are mostly reproduced in their original linear sequence, which suggests that extraposed position seems to be just as canonical as adjacent position, especially when extraposition takes place over verbal material only. With regard to constituent length, in extraposed position long PPs are shortened less often, supporting the hypothesis that longer and more complex constituents tend to be produced at the end of the utterance. Recency effects were found for intervening material as participants dropped intervening material rather than change syntactic position of constituents. The length and type of the intervening material is important with respect to how much intervening material is acceptable. Verb clusters were not shortened in sentences with extraposed PPs, however, 1⁄3 of adverbs and 1⁄2 of PP adverbials including a lexical NP were shortened to „verb only“. Extraposed PPs are more often reproduced in adjacent position than adjacent PPs are reproduced in extraposed position. However, the position of RCs is more often changed from adjacent to extraposed than from extraposed to adjacent.
While producing extraposed PPs seems not to be any more difficult than producing adjacent ones, adjacent constituents are consistently rated higher than extraposed constituents in grammaticality judgment tasks. This is in line with findings of Konieczny (2000) on German RC extraposition. The number of phrasal nodes, as suggested by Rickford et al. (1995), did not have an influence on the acceptability of extraposition, while the length of the constituent, measured in words, seems to play a role. Definiteness had no effect on adjacent PPs, but when the PP was extraposed, sentences with an indefinite antecedent were rated higher than sentences with a definite antecedent. This suggests that there is a "soft constraint" for definiteness with regard to PP extraposition out of NP in German.
State-of-the-art climate models contain, to a significant degree, empirical components. In particular, subgrid-scale (SGS) parameterizations are usually highly tuned against observations or high-resolution model data. While this enables the models to minimize the error during hindcasts, it is not guaranteed that it yields a benefit for climate projections because of climate change. In this thesis the Fluctuation-Dissipation theorem (FDT) is used to update the statistics of the system in the presence of an external forcing. If the empirical parameters are tuned objectively to the data (i.e., they depend on the statistics of the data), then they might be updated with the FDT. This ansatz is tested within a framework of a semi-empirical model (SEM) based on the leading variance patterns of a quasigeostrophic three-layer model (QG3LM) and supplemented by a purely data-driven parameterization. We show that the FDT is able to successfully update the tuning parameters of the data-driven SGS closure, resulting in a systematic improvement in model performance in comparison to an untreated SEM. Ideally, SGS parameterizations should contain little to no tuning parameters. Thus, complementary to the FDT approach we investigate a stochastic SGS closure constrained by first principles that is calculated using the stochastic mode reduction (SMR). The SMR allows for an analytic derivation of the SGS closure from the model equations while requiring only minimal tuning. We successfully apply the SMR to the QG3LM and construct the reduced stochastic model (RSM). Furthermore, we show that the RSM is more robust against an external forcing than the SEM. Additionally, we find that, under appropriate conditions, the FDT is able to update the empirical parts of the RSM. Yet, only for the response in mean streamfunction the RSM provides useful results, while the response in covariance of the streamfunction is incorrect for most cases. Nevertheless, we obtain a remarkably accurate response in both moments for the RSM in an idealized setting. In combination with the results of the FDT study this indicates that the considered RSM is too low dimensional and encourages us to investigate the response of larger RSMs in the future.
An essential part of the animal survival strategy comprises the ability to control body movement and coordinate long-term navigational strategies, in order to maintain locomotion towards a nutrition source and stay in its vicinity. In the nematode Caenorhabditis elegans (C. elegans) this function is carried out by neuronal circuits, that vary their activity in response to diverse environmental condition.
This comprises different classes of neurons, acting together in a sensory, signaling and modulatory system to control body posture and induce behavioral responses. For this reason, one particular goal in the field of neuroscience research is to elucidate the mechanisms of how neuronal circuits integrate multiple sensory cues to navigate the environment. Aim of this study was to analyze the function of a neuronal network comprising the interneurons AVK, as well as the identification of signaling molecules, controlling body posture during food related locomotory behavior. This should be achieved by establishing optogenetic approaches, which provide a non inversive and temporally precise control of neuronal activity and drives the activation or silencing of individual neurons, to alter the neuronal basis of behavior. Animals exposed to food perform a dwelling-like behavior, characterized by a slowing of locomotion with a reduced crawling distance and an irregular movement, accompanied by a high frequency of pauses, reversals and directional changes. Upon food-removal, they initiate a local-search behavior with the same behavioral characteristics, but with a more pronounced sinusoidal movement. After a prolonged period of unsuccessful food finding, animals exhibited long runs with reduced pauses, reversals and turnings, increasing their maximal covered distance, indicated as dispersal behavior. Acute photoinhibition of AVK neurons, mediated by cell-specific expression of halorhodopsin (NpHR) caused the animals to perform a dwelling-like locomotory state with increased bending angles, as seen during local-search behavior. Thus, food-induced behavioral effects are mimicked by the optogenetic manipulation of AVK interneurons.
In this study, signaling molecules were ascertained by cell specific mRNA profiling of AVK neurons, mediating these behavioral responses. It was able to demonstrate, that flp-1, coding for a FMRFamidelike neuropeptide, is one of the genes with the highest distribution in AVK. In the absence of food, AVK neurons continuously release the FMRFamide-like neuropeptide FLP-1 to inhibit a subset of target motoneurons, leading the animals to maintain a low body curvature to promote dispersing behavior.
Conversely, if AVK was inhibited by NpHR or the presence of food, less FLP-1 was secreted to the body fluid, indicated by reduced intracellular fluorescence levels of mCherry-tagged FLP-1 proteins in the scavenger cells. The search of a FLP-1 receptor was successful by in vitro investigation on G protein-coupled receptors (GPCRs) and neuropeptide ligands, revealing NPR-6 to be activated by FLP-1 neuropeptides, but with a low potency. Expression pattern of the NPR-6 receptor indicated receptor localization in in the VC ventral cord and SMB head motoneurons, as well as in a subset of other neurons required for chemosensation and feeding. AVK interneurons are highly coupled to SMB head motoneurons, forming electrical synapses composed of the gap junction protein subunits UNC-7 and UNC-9. Elimination of SMB or gap junction genes using cell ablation and RNA interference, respectively, phenocopied effects of AVK inhibition on bending angles. Furthermore, this study was able to demonstrate that these neurons get inhibited during FLP-1 transmission to the NPR-6 receptor, which was required to mediate AVK effects on crawling behavior. Consequently, photoinhibition of AVK caused disinhibition of VC and SMB neurons, in order to enhance sinusoidal movement and to induce a local-search related locomotory behavior.
Thereby, FLP-1 neuropeptide transmission is the preferred used signaling pathway over direct gap junction coupling. Additional neuropeptides and receptors were identified to be essential downstream to AVK neurons to mediate effects on body curvature and locomotory behavior as well. The high-potency FRPR-7 receptor was shown to mediate FLP-1 peptide effects on undulatory motion during swimming in a liquid environment, rather than crawling locomotion on a solid surface. This result suggests that the receptor NPR-6 is required for FLP-1 peptide effects on bending and crawling locomotion, whereas conversely the receptor FRPR-7 is addressed by FLP-1 peptides to exclusively regulate swimming behavior. The FRPR-7 receptor is expressed in the AIM and NSM motoneurons, which are suggested to be the primary neuronal candidates mediating swimming behavior. Furthermore, this study provides evidence, that FRPR-7 acts in the DVC interneuron to control spontaneous reversal behavior, most probably by inhibitory FLP-1 signaling from the AVK neurons. Among other neuropeptides, the FMRFamide-like peptide FLP-26 binds with higher affinity to NPR-6 receptors than FLP-1 peptides. FLP-26 peptides are expressed in the SMB motoneurons, where they are able to further potentiate FLP-1 inhibitory effects by simultaneous binding to NPR-6.
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Since the early 2000s, nucleic acid aptamers have gained considerable attention of life science communities. This is in particular due to the fact that aptamers are known to function as artificial riboswitches, which presents an efficient way to regulate gene expression. A promising candidate is the tetracycline-binding RNA aptamer (TC-aptamer) since the TC-aptamer is known to function in vivo and exhibits a very high affinity towards its ligand tetracycline (TC) (Kd = 800 pM at 10mM Mg2+). Although a highly resolved crystal structure exists in the ligand bound state, questions related to dynamics cannot be answered with X-ray crystallography. In this work, pulsed electron paramagnetic resonance (EPR) spectroscopy was used to study different biochemical and structural aspects of the TC-aptamer.
On the one hand, pulsed hyperfine spectroscopy was used to study the binding of TC via Mn2+ to the TC-aptamer at lower and thus more physiological divalent metal ion concentrations. In a first step, a protocol for the relatively new pulsed hyperfine technique electron-electron double resonance detected NMR (ELDORdetected NMR or just EDNMR) was developed for Q-band frequencies (34 GHz). After a successful verification of the EDNMR technique at Q-band frequencies on Mn2+ model complexes ([Mn(H2O)6]2+ and Mn-DOTA), two dimensional hyperfine techniques were used to confirm the formation of a ternary RNA-Mn2+- TC complex at physiological divalent metal ion concentrations. Correlation signals between 13C (13C-labeled TC) and 31P (from the RNA backbone) to the same Mn2+ electron spin were detected with 2D-EDNMR and triple hyperfine correlation spectroscopy (THYCOS).
On the other hand, pulsed electron-electron double resonance (PELDOR) spectroscopy on a doubly nitroxide-labeled TC-aptamer was used to investigate the conformational rearrangement upon ligand binding and how the conformational flexibility is affected by different Mg2+ concentrations. The Çm spin label was used as a nitroxide spin probe. Due to its rigidity and low degree of internal flexibility, the Çm spin label yields very narrow distance distributions and pronounced orientation selection (OS). As a consequence, the width of the distance distributions can be used to draw conclusions about the conformational flexibility of the spin-labeled helices. Analysis of the distance distributions showed that at high Mg2+ concentrations, the TC-aptamer is in its folded state, irrespective of the fact if TC is present or absent. Orientation selective PELDOR revealed that the orientation of the spin-labeled helices in frozen solution is the same as in the crystal structure. First Mn2+-nitroxide pulsed electron electron double resonance (PELDOR) measurements on a singly nitroxide-labeled and Mg2+/Mn2+-substituted TCaptamer at different Mn2+ concentrations in the presence and absence of TC gave insight into the affinities of the additional divalent metal ion binding sites of the TC-aptamer.
Die Lebensfunktion der Zelle beruht unter anderem auf der Funktion und Wechselwirkung der Nukleinsäuren DNA (2’-Desoxyribonukleinsäure) und RNA (Ribonukleinsäure). Mit Hilfe von PDS (engl. ’pulsed dipolare spectroscopy’)-Techniken, basierend auf der EPR (engl. ’electron paramagnetic resonance’)-Spektroskopie, können Abstände in einem Bereich von 2-10 nm zwischen zwei markierten Positionen einer Nukleinsäure bestimmt werden. Daneben kann mit der Abstandsverteilung auf die Flexibilität des Moleküls geschlossen werden. Durch PDS-Messungen eröffnet sich die Möglichkeit, Bewegungen und Zustandsänderungen zu untersuchen. Die Messungen beruhen auf der dipolaren Kopplung von Radikalen (Spinlabel). Da die gemessenen dipolaren Kopplungen eine anisotrope Wechselwirkung sind, können an starren Systemen neben den Abstandsinformationen auch die Orientierungen der beiden Spinlabel zueinander bestimmt werden. Diese zusätzliche Information ermöglicht es, mittels orientierungsselektiver PDS-Messungen noch genauer die Geometrie und Flexibilität des Systems zu untersuchen. Klassischerweise werden alle Messungen mit der Doppelfrequenztechnik PELDOR (engl. ’pulsed electron-electron double resonance’) durchgeführt. Einzelfrequenzmethoden basieren dagegen auf Breitbandanregung, die mit den technischen Gegebenheiten l nge nicht möglich war. Eine solche Sequenz ist 2D-SIFTER.ImmRahmen dieser Arbeit von PELDOR ausgehende, weiterentwickelte Simulationsprozedur etabliert. Eine große Herausforderung ist die eindeutige Interpretation der sensitiven orientierungsselektiven PELDOR-Messungen. Sie mittels MD (Moleküldynamik)-Simulationen zu beschreiben war bisher nur qualitativ möglich. Allerdings wurden mehrere neue Kraftfelder publiziert. Mit einem quantitativen Vergleich mit orientierungsselektiven PELDOR-Daten kann sichergestellt werden, dass die Flexibilität des Systems durch Kraftfelder richtig beschrieben ist. PELDOR-Zeitspuren, gemessen bei Raumtemperatur und 50 K, unterscheiden sich besonders in ihrer Dämpfung. Der physikalische Unterschied beider Messungen konnte durch MD-Simulationen qualitativ nachvollzogen worden. Eine Schwierigkeit für speziell orientierungsselektive PELDOR-Messungen ist die aufwendige Synthese von mit dem starren Ç-Label markierten Nukleinsäuren. Als Alternative wurde in der Sigurdsson-Gruppe das halbstarre IMU-Label entwickelt. Die Analyse der orientierungsselektiven Daten ergab ein klares Bild der Dynamik dieses Labels. Ein weiterer interessanter Spinlabel ist der `G. Dieser Label ist nicht kovalent gebunden, sondern interkaliert in eine Stelle der Nukleinsäure, in der eine Guanin- Base fehlt. MD-Simulationen im quantitativen Vergleich mit orientierungsselektiven PELDOR-Messungen an verschiedenen Magnetfeldern haben eine hohe Übereinstimmung. Dabei konnte gezeigt werden, dass der Label, interkaliert in eine dsDNA, flippen kann, was zu einer Ausmittelung der Anisotropie führt, allerdings zu keiner Verbreiterung der Abstandsverteilung. Dagegen wird in der dsRNA dieses Flippen um die Einfachbindung sterisch gehindert, so dass neben dem Abstand auch die Orientierung des Labels bestimmt werden kann. Kurze dsRNA-Bausteine tendieren dazu, Oligomere zu bilden, was zu Multispineffekten führte. Zusätzlich beeinflusst diese Aggregation die Dynamik der einzelnen RNAs. Daher musste dieses ’end-to-end’-Stacking verhindert werden. Eine Nukleobasean einem Ende der dsRNA führt zu einer Dimerisierung, während eine Nukleobase an beiden Seiten dieses Stacking vollständig verhindert. Messungen mit unterschiedlichen Salzkonzentrationen konnten zusätzlich zeigen, dass die Interaktion zweier dsRNAs bei höheren Salzkonzentrationen zunimmt.
Die Plasmamembran eukaryotischer Zellen dient als Barriere zwischen dem Inneren einer Zelle und ihrer Umgebung. Eine wichtige Aufgabe von Proteinen, die sich in der Plasmamembran befinden, besteht in der Erkennung der Umgebung, der Übermittlung dieser Informationen über die Plasmamembran in das Innere einer Zelle und der Einleitung einer zellulären Antwort. Membranrezeptoren binden Liganden, was zu ihrer Aktivierung und der Rekrutierung von intrazellulären Proteinen führt. Funktionelle Signalkomplexe werden gebildet und leiten einen Informationstransfer durch die Zellmembran ein, so dass die Expression bestimmter Gene stimuliert oder unterdrückt wird. Eine Störung der Signalinitiierung und -übertragung tritt bei vielen Krankheiten auf, so dass Membranproteine ein wichtiges Ziel in der Medikamentenentwicklung sind.
In dieser Arbeit wird die Fragestellung bearbeitet, wie der Tumornekrosefaktor-Rezeptor 1 (TNFR1) in funktionelle Komplexe in der Plasmamembran einer intakten Zelle organisiert ist. TNFR1 besitzt vier cysteinreiche Domänen (CRDs) in seiner extrazellulären Region. Die erste und von der Plasmamembran am weitesten entfernte CRD ist die Pre-Ligand Assembly Domain (PLAD). Kristallstrukturen zeigten, dass sich in einem TNFR1-Dimer zwei PLAD in unmittelbarer Nähe befinden. Crosslinking-Experimente berichteten über mehrere oligomere Zustände von TNFR1; die Ergebnisse unterschieden sich nach Art und Konzentration des Crosslinkers. In der nativen Umgebung einer intakten Zelle wurde der oligomere Zustand von TNFR1 bisher nicht bestimmt. Der kanonische Ligand für TNFR1 ist der Tumornekrosefaktor alpha (TNF), ein Homotrimer, welches in löslicher oder membrangebundener Form vorliegt. Nach der Bindung von TNF an TNFR1 bilden sich Rezeptortrimere. Diese Proteinkomplexe rekrutieren intrazellulär Proteine und bilden einen funktionellen Membrankomplex, der intrazelluläre Signalkaskaden aktiviert. Die kanonische Signalweiterleitung erfolgt durch den nuclear factor kappa-light-chain-enhancer of activated B-cells (NF-B), welcher Zellteilung oder Entzündung induziert. TNFR1 kann auch andere Signalwege wie beispielsweise Apoptose durch einen zytosolischen Komplex und die Procaspase-8, oder Nekroptose durch das Nekrosom und die mixed lineage kinase domain-like (MLKL)-Domäne einleiten. Die Dysregulation von TNFR1 ist bei einer Vielzahl von Krankheiten zu finden. Erhöhte TNFR1-Expressiosraten treten bei acquired immune deficiency syndrome (AIDS), multipler Sklerose und verschiedenen Krebsarten auf.
In einem zweiten Projekt wurde in Zusammenarbeit mit Prof. Dr. Michael Lanzer (Heidelberg, Germany) der Expressionsgrad des Proteins VAR2CSA in membranassoziierten knobs bestimmt, welche in Erythrozyten vorkommen, die mit dem Parasiten Plasmodium falciparum infizierten wurden. VAR2CSA gehört zur Proteinfamilie des Plasmodium falciparum erythrocyte membrane protein 1 (pfEMP1). Nach einer Infektion wird VAR2CSA zur Wirtszellmembran transportiert und in knobs eingelagert. Patienten, die Sichelzellenanämie-Erythrozyten (HbAS) aufweisen, sind im Gegensatz zu Patienten mit gesunden Erythrozyten (HbAA) immun gegen Malaria. Während die beiden Erythrozytentypen eine unterschiedliche Morphologie der knobs aufweisen, blieb ihre Zusammensetzung in Bezug auf VAR2CSA bisher ungeklärt.
Das Verständnis der Proteinfunktion erfordert eine Beschreibung der molekularen Organisation funktioneller Einheiten in der zellulären Umgebung. Hierfür ist die Fluoreszenzmikroskopie eine geeignete Methode, da sie eine gezielte Markierung von Zielproteinen ermöglicht. Die hohe Sensitivität ermöglicht die Visualisierung einzelner Proteine. Eine Einschränkung in der konventionellen Fluoreszenzmikroskopie ist die Auflösungsgrenze. Strukturelle Elemente, die kleiner als etwa die halbe Anregungswellenlänge sind (für die meisten Anwendungen 200 bis 300 nm) können nicht aufgelöst werden. Die Entwicklung der hochauflösenden Fluoreszenzmikroskopie ermöglichte es, diese Auflösungsgrenze zu umgehen und eine räumliche Auflösung von wenigen Nanometern zu erreichen, was die Visualisierung und Charakterisierung einzelner Proteinkomplexe ermöglichte. Eine Art der hochauflösenden Fluoreszenzmikroskopie ist die single-molecule localization microscopy (SMLM), die auf der Detektion einzelner Fluorophore, einer genauen Bestimmung ihrer Position (Lokalisation) und der Erzeugung eines rekonstruierten Bildes unterhalb der optischen Auflösungsgrenze basiert. Da die meisten Proben in der Fluoreszenzmikroskopie eine zu hohe räumliche Dichte an Fluorophoren aufweisen, um den Nachweis von einzelnen Fluorophoren zu ermöglichen, werden Verfahren zur Kontrolle der Emission von Fluorophoren eingesetzt. Eine Möglichkeit ist der Einsatz von Fluorophoren, die optisch zwischen einem nicht-fluoreszierenden und einem fluoreszierenden Zustand geschaltet werden können, z.B. photoschaltbare fluoreszierende Proteine in photoactivated localization microscopy (PALM) oder organische Farbstoffe in (direct) stochastic optical reconstruction microscopy ((d)STORM). SMLM erreicht eine räumliche Auflösung von 20 nm, was in den meisten Fällen ausreicht, um einzelne Proteinkomplexe in einer Zelle aufzulösen. Diese räumliche Auflösung ist jedoch nicht ausreichend, um Untereinheiten innerhalb eines Proteinkomplexes zu visualisieren. Zu diesem Zweck wurde SMLM erweitert und die verfügbare kinetische Information genutzt, die bei der Detektion einzelner Fluorophore ausgelesen wird. Viele Fluorophore weisen metastabile Dunkelzustände auf, die eine Lebensdauer von bis zu Sekunden aufweisen. Diese Übergänge erscheinen als "Blinken" der Fluoreszenzemission. In Kombination mit kinetischen Modellen kann aus der Anzahl an Blink-Ereignissen die Anzahl der Fluorophore ermittelt werden. Angewendet auf hochaufgelöste Proteinkomplexe kann die Auflösungsgrenze von hochauflösender Mikroskopie umgangen werden, und die Anzahl der Protein-Untereinheiten in einem hochaufgelösten Proteincluster ermittelt werden. Hierzu wird beispielsweise das photoschaltbare fluoreszierende Protein mEos2 an ein Zielprotein funsioniert (quantitative PALM (qPALM)).
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This dissertation consists of four self-contained chapters in the overlapping fields of industrial organization and organizational economics on the topics pricing, careers and supervision. Each chapter is the result of an independent research project. The dissertation analyzes empirical research topics by exploring novel observational data sets. It sheds light on open questions in the economic profession by extending fundamental models on pricing in the first two chapters and by challenging conventional explanations and methods on careers and supervision in the last two chapters.
- Chapter 1:
The first chapter is based on joint work with Steffen Eibelshäuser. It models price competition among brick-and-mortar retailers with business hours. Specifically, we propose a dynamic model of intraday price competition featuring spatial differentiation and firm size heterogeneity. The model makes detailed predictions concerning equilibrium-pricing patterns. When spatial differentiation is high and consumers cannot easily switch between retailers, equilibrium prices are stable at oligopoly levels. When differentiation is low, equilibrium prices fluctuate in cycles. The shapes of the cycles depend on the level of differentiation and on retailers’ reaction times. When reaction times decrease, the number of price cycles increases. In a second step, we apply the model to the German retail gasoline market. Gasoline retailers have been using digital price tags for decades and fast-paced price competition with more than ten price changes per day is no exception. Our model has successfully predicted the emergence of an additional intraday subcycle in April 2017. Moreover, we were able to confirm several detailed predictions concerning the shape of equilibrium price paths and individual firm behavior. Finally, we calibrate the model using a generalized method of moments. The model fits the data remarkably well, with coefficients of determination ranging from 60% to 80%. We use the fitted model to evaluate a number of policy counterfactuals. Restricting price increases results in higher prices and decreased welfare, leading us to conclude that regulation of dynamic markets is highly complex and can easily backfire.
- Chapter 2:
The second chapter analyzes the price-matching policies of two gasoline retailers. Customers of these retailers that are able to provide evidence of competitors posting lower prices have the ability to claim price matches. As shown in the first chapter, the Edgeworth Cycle model rationalizes price fluctuations in the German gasoline retail market. To determine policy interactions in cycling markets, this chapter extends the classical Edgeworth Cycle model by price-matching. The model predicts that price-matching retailers post higher prices and initiate price increases. The price-consulted firm anticipates this strategy, posts lower prices, and provokes the implementing firm to restore the price more frequently. Consulted stations also anticipate earlier price restoration reactions from implementing stations and, thus, provoke restorations earlier. This effect dominates in welfare calculations, such that price matching has positive welfare implications.
The second part of the chapter tests the hypotheses with price data on the German gasoline retail market. The estimation exploits a discontinuity in the policy-affected retailers. Therefore, the analysis disentangles the competitive effects of implementing and price-consulted market participants in comparison to retailers that are not affected. As predicted, the posted average and minimum prices of one implementing retailer and its consulted competitors increase. For the other price-matching retailer, I find reduced prices that contradict the model. The last part of the chapter relates the empirics to static models and shows that the dynamic component provides previously undiscovered insights.
- Chapter 3:
The third chapter is based on joint work with Emmanuelle Auriol and Guido Friebel. It represents the subtopic of careers in this dissertation. Specifically, the chapter provides the first comprehensive data collection analysis of women’s careers in all European research institutions in the field of economics. Using a web-scraping algorithm that constantly accesses position information on institutions’ websites, we collect a novel data set on researchers in Europe. These details entail information on researchers’ gender obtained by the first name and a face recognition. Similar to survey data on U.S. institutions, we identify a leaky pipeline, as women are less likely to become professors than men are. The situation is very heterogeneous across Europe. The gap is substantially larger in Western and Southern Europe than in Central and Eastern Europe. Furthermore, we identify institutions with a higher research output and a better research-ranking having a systematically lower share of females in full professor positions as well as entry-level positions for Ph.D. graduates. Austria, Belgium, Italy, Portugal, and Spain are the drivers for this correlation. All these results are in line with the “leaky pipeline” hypothesis, in which, over the different stages of a career, the attrition of women is higher than the one of men. We show that the cohort hypothesis arguing that the lag effect between the time of Ph.D. completion and the time of promotion to a full professorship is unable to explain the current low number of females.
- Chapter 4:
The fourth and last chapter "What does Mystery Shopping do?" is based on joint work with Sidney Block, Guido Friebel, Matthias Heinz, and Nick Zubanov. It addresses an auditing practice with a yearly U.S.-turnover of 19.5 billion USD in 2016 (European Society for Opinion and Market Research, 2017: Global Market Research 2017). The term mystery represents the key aspect of the tool. During an anonymous visit, so-called mystery shoppers perform certain predefined tasks such as purchasing a product, asking questions, registering complaints, or behaving in a certain way. Following their visit, the shoppers provide detailed reports about their experiences to the evaluated firms. The chapter investigates whether the practice is suitable to determine employees’ pay. Contrary to the general understanding that firms are able to observe service quality and, in turn, can proxy for business success with mystery shopping, we do not observe mystery-shopping evaluations to correlate positively with firm performance. A decomposition of the evaluation reports indicates that mystery-shopping scores are biased and the shopper’s identity explains up to 20% of the score’s variance. Thus, the shopper’s identity has the largest impact out of all observable characteristics. With the results that mystery-shopping scores are noisy and biased, we conclude that they are not suitable for performance pay in the context of our study. In addition, we show that if the number of observations is sufficiently large, aggregated scores relate to business success. The required number of shops per evaluation period must be, however, larger by a factor between 3 and 30 per evaluated subject. Hence, cost advantages of mystery shopping diminish such that the cost benefits to customer assessments could vanish completely. The current methodology, however, may still be useful for other employee-related purposes like monitoring, which is in line with the policies of the considered firms.
Epigenetic mechanisms largely influence how genetic information on DNA level is translated into different phenotypes. DNA methylations and histone post-translational modifications make up what is referred to as "epigenetic landscape", an interconnected pattern that regulates access to genes and serves as platform for specific binding partners. The epigenetic landscape is maintained by "writers", which add the modifications, "erasers", which delete the modifications and "readers" which specifically bind modifications and mediate their location to other proteins connected to transcription. In the context of acetylations, which are the focus of this thesis, the writers are called histone acetyl transferases (HATs), the erasers are called histone deacetylases (HDACs) and the readers comprise Bromodomains (BRDs) as well as Yaf9, ENL, AF9, Taf14, Sas5 (YEATS) domains. An aberrant epigenetic landscape and mutated forms of epigenetic readers can lead to diseases including cancer and inflammatory diseases, making epigenetic reader domains attractive drug targets.
The focus of this thesis were YEATS domains and the development of inhibitors for this new class of epigenetic readers. Eleven-nineteen-leukemia protein (ENL) and ALL1-fused gene from chromosome 9 protein (AF9) are also part of the super elongation complex and are common fusion partners of mixed lineage leukemia protein (MLL) in acute myeloid leukemia (AML) (Wan et al., 2017, Erb et al., 2017). In this thesis, the first ligand-free crystal structure of ENL YEATS revealed an inherent flexibility of the Y78 side chain in the aromatic triad and two conserved water molecules. Soaking experiments led to the first co-crystal structures between a YEATS domain and small molecule inhibitors and defined prerequisites for ENL YEATS inhibitor scaffolds. The discovered inhibitory fragments had a central amide bond in common, which replaced one of the two conserved water molecules to form beta-sheet-like hydrogen bonds between the loop 6 backbone and the S58 side chain. The amide bond was flanked by two aromatic moieties, of which one stacks with H56 in the front pocket and the other interacts with the aromatic triad in the rear pocket. The development of the first chemical probe for ENL/AF9, SGC-iMLLT, show that the affinity is increased to low nanomolar levels if the rear flanking aromatic moiety forms additional hydrogen bonds with loop 6 and the side chain of E75 (Moustakim et al., 2018). In case of the probe, this is achieved with a 2-methyl-pyrrolidine-benzimidazole moiety. The probe binds with high affinity to ENL (129 nM) and AF9 (77 nM) and shows no significant affinity towards other human YEATS domains or BRDs. Target engagement was shown by fluorescence recovery after photobleaching (FRAP), cellular thermal shift assay (CETSA) and in case of AF9 also with NanoBRET. The probe changed the expression of three AML-related genes (MYC, dendrin and CD86) in MV4;11 cells, encouraging application of this probe in more AML cell lines.
This study investigates a historical event that occurred during the Indonesian Revolution as depicted in Indonesian historical films and argues that these films not only attempt to depict the past but also use the past as a means of social commentary, teaching moral insight, and historical reinforcement. The historical films selected are The Long March (Darah dan Do’a) (1950) and Mereka Kembali (1972). Both films deal with the Long March event experienced by the troops of the Siliwangi Division in 1948. These troops were previously assigned to infiltrate Yogyakarta and its surrounding areas. They were instructed to march back to their original base in West Java as a part of the military strategies to confront the Dutch during the Indonesian Revolution, also known as the Indonesian War of Independence. This event became known as the Long March of the Siliwangi Division. This study examines not only the representation of the past or the texts of the films but also the production process, which includes the motivations of the filmmakers and the public reception when the films were screened for the public at the time—in 1950 and 1972, respectively. This approach provides a broader and richer dimension, valuable insights into the behind-the-scenes process of making the selected historical films, and essential information about the public reception of the films. From the production point of view, there are two main reasons for making these historical films: personal reason and social engagement. Further, the military also plays a vital role in these historical film productions. From the historical representation aspect, these two films depict the events of the Long March of the Siliwangi Division as a journey full of various obstacles and difficulties, such as harsh terrain, lack of food, battles against the Dutch, and internal disputes with fellow Indonesians: Darul Islam. From the reception aspect, the audience’s point of view, these films provide several representations that meet their expectations about the Long March of the Siliwangi Division. However, the audience disagrees with some of the other representations. Finally, the study revealed that historical films are potential vehicles for telling, interpreting, entertaining, legitimating and preserving the past. In addition, this study has a vital implication for reopening the tradition of Indonesian film studies and reigniting attention to old films.
Human readers have the ability to infer knowledge from text, even if that particular information is not explicitly stated. In this thesis, we address the phenomena of text-level implicit information and outline novel automated methods for its recovery.
The main focus of this work is on two types of unexpressed content that arises between sentences (implicit discourse relations) and within sentences (implicit semantic roles).
Traditional approaches mostly rely on costly rich linguistic features, e.g., sentiment or frame-based lexicons, and require heuristics or manual feature engineering.
As an improvement, we propose a collection of generic resource-lean methods, implemented in the form of statistical background knowledge or by means of neural architectures.
Our models are largely language-independent and produce state-of-the-art performance, e.g., in the classification of Chinese implicit discourse relations, or the detection of locally covert predicative arguments in free texts.
In novel experiments, we quantitatively demonstrate that both types of implicit information are mutually dependent insofar as, for instance, some implicit roles directly correlate with implicit discourse relations of similar properties.
We show that implicit information processing further benefits downstream applications and demonstrate its applicability to the higher-level task of narrative story understanding.
In the conclusion of the dissertation, we argue for the need of implicit information processing in order to realize the goal of true natural language understanding.
Cancer microenvironment is now recognized as a critical regulator of all stages of cancer development. Beside the tumor vasculature and tumor-infiltrating immune cells, other stromal cells such as cancer-associated fibroblasts (CAFs) regulate tumor growth. Fibroblasts are ubiquitous cells in connective tissue, where they shape the extracellular matrix (ECM). Fibroblasts are usually quiescent but get activated when tissue homeostasis is disturbed. Then, activated fibroblasts rebuild the ECM and communicate with local cells to participate in wound repair. These repair properties can go awry when being unchecked, which can lead to fibrosis and subsequently cancer development. CAFs can promote cancer development by fostering tumor cell growth, polarizing immune cells to an immunosuppressive phenotype, and crosslinking collagen to enable tumor cell invasion. Molecular mechanisms of CAF activation, thus, need to be understood to target these cells in tumors. Prostanoid prostaglandin E2 (PGE2) is viewed as a pro-tumor lipid mediator as suggested by studies pharmacologically or genetically targeting the enzymes producing PGE2, such as microsomal PGE synthase-1 (mPGES-1) in tumor models. Similar to CAFs, PGE2 drives tumor cell growth and tumor-associated immune suppression. Therefore, I hypothesized that PGE2 may play a role in CAF activation.
This hypothesis was tested in two mouse models of breast cancer (orthotopic grafting model, and polyoma middle T oncogene transgenic model), besides using isolated mammary gland (MG) fibroblasts in vitro. As expected, given the pro-tumor function of PGE2, knocking out mPGES-1 reduced the growth of oncogene-driven and transplanted mammary tumors. Surprisingly, CAF density was markedly increased when mPGES-1 was depleted. Importantly, despite reduced primary tumor growth, I observed enhanced lung metastasis upon mPGES-1depletion. Using MG-derived fibroblasts in vitro furthermore revealed that treatment with PGE2 reduced a TGFβtriggered CAF-like activation state. Importantly, bioinformatics analysis of a human breast cancer patient dataset revealed a negative correlation of a PGE2 production signature with fibroblast marker genes. In a next step I investigated if the increased CAF infiltrate was connected to the reduced tumor growth upon depletion of PGE2. To unravel this, I first asked through which E prostanoid (EP) receptor PGE2 signals in fibroblasts. MG fibroblasts mainly expressed EP3, and EP3 KO fibroblasts showed a hyper-proliferative and activated phenotype, indicating EP3 as the main PGE2 receptor in MG fibroblasts. Co-injecting of EP3 KO MG fibroblasts and tumor cells in WT mice suppressed tumor growth, whereas co-injection of WT fibroblasts with tumor cell in mPGES-1 KO mice increased tumor growth. These data indicate that PGE2 restricts CAF levels through EP3, which supports tumor growth. Whole transcriptome mRNAsequencing of WT and mPGES-1 KO FACS-sorted CAFs combined with immunohistochemical data suggested a role of p38 mitogen-activated protein kinase (MAPK) in the modulation of fibroblast activation by PGE2.
In summary, I showed in two breast cancer models that mPGES-1 depletion delays breast cancer progression, which is probably driven by the EP3-PGE2 signaling axis in host stroma. PGE2 appears to be a potent anti-fibroblast activation agent in tumors via EP3 and downstream p38 MAPK signaling. This study therefore hits the dogmatic perception of the general pro-tumor nature of PGE2; showing that PGE2 might be a double-edged mediator that can promote tumor growth at the primary site by restricting CAF expansion, which may in turn hinder infiltration of tumor cells to a secondary site.
Role of Orphan G-protein-coupled receptor GPRC5B in smooth muscle contractility and differentiation
(2019)
G protein coupled receptors (GPCRs) are the largest family of cell-surface receptors encoded in the human genome. They mediate the cellular responses to a wide variety of stimuli, ranging from light, odorants, and metabolic cues to hormones, neurotransmitters, and local mediators. Upon ligand binding, the GPCR undergoes conformational changes resulting in the activation of heterotrimeric G-proteins belonging to the families Gs, Gi/o, Gq/11, G12/13, which in turn mediate the downstream signaling. While most of the 360 non-olfactory GPCRs are well studied, approximately 120 GPCRs are still considered "orphan", meaning that their mechanism of activation and biological function is unknown. GPCRs have been functionally described in the regulation of almost all organ systems, and their dysregulation has been implicated in the pathogenesis of a multitude of diseases. In the vascular system, the contractile tone of vessels is crucially regulated by GPCRs. Substances that act through G12/13- and Gq/11-coupled GPCRs are associated with facilitation of contraction, while Gs-coupled GPCRs are usually associated with the induction of relaxation. Furthermore, while Gq/11 pathway activation promotes proliferation and dedifferentiation of vascular smooth muscle cells (VSMC), G12/13 and Gs signaling pathways promote expression of contractile proteins and differentiation.
The functional properties of VSMC depend on the anatomical location, and a recent single-cell expression analysis showed that VSMC from different vascular beds have different patterns of GPCR expression. Interestingly, smooth muscle cells (SMCs) from resistance arteries not only express various GPCRs for known modulators of vascular tone, but also a number of orphan GPCRs. These results suggest a potential role of orphan GPCRs in the modulation of blood pressure. Orphan GPCR GPRC5B was one of the GPCRs enriched in resistance arteries, and this receptor was also upregulated in dedifferentiated aortal SMC. The function of GPRC5B in these types of SMC is currently unknown. In vitro studies suggested that GPRC5B negatively regulates obesity, inflammation, insulin secretion and fibrotic activity, but there are no data available with respect to its function in regulation of vascular tone or other SMC functions.
Our study aimed at the identification of the specific functions of GPRC5B in SMC. To do so, we generated a SMC-specific GPRC5B-deficient mouse line by crossing Gprc5bfl/fl mice with smooth muscle-specific, tamoxifen-inducible Myh11-CreERT2 mice. We found that SMC-specific deletion of GPRC5B did neither affect myogenic tone in pressure myography, nor the response to the contractile agonists in wire myography. In contrast, vessel relaxation in response to prostacyclin analogues cicaprost and iloprost, which act on the prostacyclin receptor IP, were increased. These results suggested a selective improvement of IP receptor signaling. The IP receptor is coupled to Gs protein, it promotes vasorelaxation and acts as a restraint on platelet activation. Using overexpression of IP and GPRC5B in HEK cells, we found that GPRC5B physically interacts with the IP receptor and controls IP trafficking and membrane localization. Furthermore, we found that membrane IP receptor expression was increased in GPRC5B-deficient human aortic SMC and in resistance vessels of SMC-specific GPRC5B. To investigate the importance of increased IP-mediated signaling in SMC in vivo, we measured blood pressure in two mouse models of hypertension. We found that SMC-deletion of Gprc5b resulted in a significant reduction of blood pressure compared with control mice, which suggested that Gprc5b negatively regulated relaxation in hypertensive disease by decreasing IP mediated relaxation. In line with this notion we found that application of the IP antagonist Cay10441 largely abrogated the beneficial effect of GPRC5B inactivation in this hypertension model. Another important function of the IP receptor is the regulation of SMC differentiation, which led us to investigate the differentiation state of GPRC5B-deficient SMC. We found that deletion of GPRC5B enhanced expression of contractile genes and reduced expression of proliferative markers. This improved differentiation was, at least partially, due to increased IP signaling in SMC. Moreover, in a mouse model of atherosclerosis SMC-specific deletion of Gprc5b reduced plaque area and contributed to a more stable fibrous cap by promoting differentiation.
In conclusion, deletion of GPRC5B in SMC significantly improved contractility and differentiation by increasing IP receptor membrane availability and signaling.
Uncontrolled constitutive activation of Wnt signaling is a hallmark of colorectal cancer (CRC), which is responsible for the initiation of the vast majority of CRC cases (Fearon and Vogelstein, 1990; Morin et al., 1997; Wood et al., 2007). Paneth cells support the small intestinal stem cells by providing them with the required niche factors and especially Wnt3. Although the normal colonic epithelium does not contain Paneth cells, Paneth cell metaplasia is frequently observed in human and mouse adenoma (Joo et al., 2009). The occurrence of Paneth cells suggests the presence of high levels of Wnt ligands with unknown function in the tumor microenvironment of Wnt-independent tumor cells. Tumor progression is recognized as result of evolving crosstalk between tumor cells and their surrounding non-transformed stromal cells (Hanahan and Weinberg, 2011; Wang et al., 2017). Although Wnt signaling has been intensively studied in colorectal cancer (CRC) cells (Zhan et al., 2017), it remains unclear whether Wnt activity in the tumor-associated stroma contributes to the tumor malignancy. The present thesis used the organoid 3D cell culture system, genetically modified mouse models as well as next generation sequencing technology to identify and characterise the role of Wnt signaling in the tumor microenvironment of CRC.
The dissertation studied reused Roman coins (AD 100 – 400) that were found in medieval cemeteries (AD 400 – 1400) in the territory of Serbia. The evaluation process was traced through three different periods and cultural contexts: (1) in the period of Roman domination in the central Balkans (AD 1 – 400), i.e. the “primary context” of their use and circulation; (2) in the time of transition from the late antiquity to early medieval period (AD 400 – 700); and (3) in the high and late Middle Ages (AD 900 – 1400), where the last two were considered to be a “secondary context” in which the Roman coins were no longer a valid currency.
It was observed that the reused Roman coins, as a distinctive category of archaeological finds, impose a necessity for reconsideration of the relationship between the disciplines of archaeology and numismatics; encouraging a greater cooperation and discussion between the two. Considering the use and evaluation of Roman coins in their “primary context”, it is possible to presume that the strength of the political Roman system was the crucial factor in the formation and maintaining the stability of the value of Roman coins. The act of reuse should not be automatically equalized with recycling; implying only to use value, but at the same time it was not possible to assume that the value was formed only on a purely symbolical level. The (re)use of Roman coins in the funeral practices from c. AD 400 to 700 was considered to be a part of wider and occasional practice of incorporating older Roman issues in the coin pool by the “barbarian” or Byzantine authorities. It could be then concluded that the value of Roman coins was understood more as a potential attribute than as a fixed category; enabling one to simultaneously “overvalue “ and “undervalue” these objects. In the period from c. AD 900 to 1400, the reuse of Roman coins was detected only within the cemeteries of the peasantry and in a context of gradual increase of general coin use in the central Balkan communities of the Middle Ages. This was understood as an indicator that the Roman coins were not perceived as particularly valuable per se, but since the were recognized as category of objects that became more important in defining social relationships they were then incorporated in the funeral rituals and reinterpreted by the medieval population.
The neocortical microcircuit, a local network of excitatory and inhibitory neurons, is a highly complex information processing unit, which can flexibly be modulated to adapt to external context and internal state such as motivation or attention. The mechanisms underlying these adaptations for flexible processing are not sufficiently understood yet. The aim of this study is to further elucidate the role of inhibitory and excitatory components of the local neocortical microcircuit for the processing of sensory information in an awake, behaving animal.
Layer 1 of the neocortex is of particular importance because it contains afferents from the thalamus and more distant cortical regions, which relay top-down information that is important for processes such as learning and attention. The dendrites of the excitatory pyramidal neurons located in deeper layers extend into layer 1, and in addition to that layer 1 contains inhibitory neurons, as well as axons from inhibitory somatostatin expressing (SOM) neurons located in lower layers. These layer 1 inhibitory neurons and SOM axons are therefore well positioned to control top-down information transfer at the pyramidal dendrites, and thus to flexibly regulate information processing in the local circuit. To further investigate this, the stimulus responses in inhibitory (SOM axons) and excitatory (layer 2/3 pyramidal neurons) components of the neocortical microcircuit were measured in primary auditory cortex during learning, when auditory stimuli gain relevance.
For this purpose, I first established a suitable learning behaviour, an auditory GO-NOGO discrimination task, which can be performed by head-fixed mice under the microscope. The task also contains a visual start cue, which signals the start of every trial, as a multimodal element. Mice learn to distinguish two auditory stimuli by being rewarded with water after the GO stimulus and receiving no reward after the NOGO stimulus. They indicate that they have identified the stimuli accordingly by licking at a water dispenser during the GO stimulus and not during the NOGO stimulus. Licking during the NOGO stimulus is punished by an aversive air puff. As the mice learn this behaviour, the stimuli gain relevance. The activity in the same neuronal structures was observed over the course of all training sessions via 2-photon imaging in awake, behaving mice, and their stimulus responses were measured throughout the learning process, acquiring a comprehensive dataset. In these data, short-term and long-term plasticity of the stimulus responses can be detected and these changes in the stimulus responses differ for SOM axons and pyramidal neurons. Already from the first training day, stimulus responses change in the course of a single session, both in SOM axons and in pyramidal cells. With time over the course of task acquisition, the stimulus representation in a group of pyramidal neurons in layer 2/3 is enhanced and distal dendrites are less inhibited over training through reduced activation of the SOM axons, so that the integration of information along the somatodendritic axis shifts, increasing the relative impact of top-down information. This shift is even stronger for the NOGO stimulus in correct trials compared to the GO stimulus. This is the first study to show that this somato-dendritic shift by SOM-axon responses occurs at different strengths for the GO and NOGO stimulus, probably due to the different learned responses (action or refraining), which require different forms of circuit control. After learning, the neuronal responses to GO and NOGO stimuli also differ in pyramidal neurons, with the GO stimulus evoking stronger responses than the NOGO stimulus. This learned distinction is reversed in passive trials during which the mice have no possibility to respond to the stimuli, in both SOM axons and pyramidal neurons, resulting in similar response sizes for both stimuli. This indicates that not only learning over the long term, but also short-term changes regarding the state (active execution of the discrimination task or no active participation during the stimulus presentations) affect the processing of the stimuli in the local circuit. In addition, on an even shorter time scale pyramidal neurons show a modulation of responses from trial to trial, probably due to anticipation of reward, which is absent from SOM axon responses. Thus, there are various levels of plasticity that develop over the course of training: long-term changes in the response size of both the excitatory and inhibitory components that facilitate stimulus recognition when engaged, and short-term modulation (possibly in anticipation of reward) in excitatory neurons that could underlie sensorimotor transformation. Both pyramidal neurons and SOM axons in the primary auditory cortex respond to multimodal and reinforcement-related stimuli, likely contributing to the optimisation of circuit dynamics for goal-directed information processing. This shows that the circuit flexibly adjusts information processing under different circumstances, depending on the relevance the stimuli carry and whether the mouse is active or inactive and can use the presented information to achieve a goal.
The carpal tunnel syndrome (CTS) is a chronic compression of the median nerve in the carpal tunnel, a condition in which the nerve is constricted especially under the flexor retinaculum (FR). The disease predominantly appears between 40 and 83 years of age. Women are significantly more often affected than men. The same applies to overweight people in comparison to normal weight people. Abnormal sensations at night, including paresthesias and dysesthesias, are classical CTS symptoms, predominately involving the middle fingers, later also the thumb. Diagnosis of CTS usually proceeds by motor nerve conduction study (mNCS) and determination of the distal motoric latency (DML). In conformity with electrophysiology, peripheral nerve ultrasonography has also attained an important diagnostic informative value. In principle, there is an open surgical procedure and an endoscopic carpal roof cleavage. The goal of therapy is the complete open division of the flexor retinaculum (FR) in order to relieve the median nerve from compression.
This work examines the morphological alterations of the median nerve at the site of the carpal tunnel after surgical decompression by means of high-resolution neurosonography in the scope of a prospective study. More than 100 patients were examined between October and December 2014 for planned decompressions surgery due to CTS. A total of 81 patients were prospectively included, 5 of which could not take part in the follow-up after six months and were excluded from this evaluation. A medical CTS case history, clinical examination findings, as well as a neurographic result were included. Patients with a relapse operation were not considered in this regard. Apart from a clinical examination and questioning of the patient three and six months after surgery, an electrophysiological examination and a high-resolution sonography of the median nerve were also carried out. Electroneurography and nerve sonography of the median nerve were applied to both hands. A prolonged distal motor latency of the median nerve amounting to 4ms, as well as a slowed nerve conduction velocity below the benchmark value of approx. 45m/s, were classified as pathological findings. In sonography, the largest cross-section area (CSA) of the median nerve was measured by applying transversal slicing to the distal transverse creases of the skin on the palmar surface of the wrist (rasceta) as well as 5cm proximal to the rasceta. The highest CSA values were determined visually. In cases of doubt several transversal slices were made until the highest CSA value could be identified.
The average age at which the disease was contracted amounted to 56.9 years. With one exception, all patients complained of nocturnal brachialgia before surgery (74, 96.2%). As far as neurological symptoms were concerned, 72 patients had paresthesias (93.6%) and 29 patients (37.7%) felt permanent numbness. A thenar atrophy of higher degree was diagnosed in two patients (2.6%). These complaints had improved in the patients surveyed in the scope of postoperative evaluations after three and six months.
Patients with motor deficits had a statistically significantly longer preoperative distal motor latency (10.5 ± 2.8ms vs. 6.5 ± 2.3ms). We observed an improvement of distal motor latency in 98% of the patients three months and six months after surgical decompression, displaying a statistically significant DML decrease from 6.6 ± 2.4ms to 4.8 ± 1.0ms and from 6.6 ± 2.4ms to 4.4 ± 1.0ms, respectively. There was a statistically significant correlation between the decrease of the nerve cross-section area and the decrease of distal motor latency.
At the time of the follow-up examination, three months after surgery, we were able to document a decrease in the CSA value in 80% of the patients. The mean CSA value decreased from 14.7 ± 4.4mm² to 12.4 ± 3.4 mm². Six months after surgical decompression the mean CSA value decreased from 14.3 ± 4.4mm² to 9.6 ± 2.3mm². Patients with a preoperative CSA value of ≥ 12mm² displayed a significantly greater relative reduction of their postoperative CSA value. Concerning all preoperative and postoperative parameters in patients who had undergone either open or endoscopic surgery, none revealed significant differences. Neither could an exploratory analysis (i.e. age, diabetic diseases) reveal any significant correlation between the parameters. Prior to surgery, a flattening of the median nerve or a loss of its fascicular structure (texture) had also been seen to exist in patients, apart from the nerve's larger cross-section area. Nerve sonography is an inexpensive and fast method. It is also extraordinarily reliable in the assessment of the CTS diagnosis and suits the necessary demands. We achieved a good efficiency with our sonographic examinations in the study presented here. New and improved developments show that high-resolution sonography will gain more and more significance in future CTS diagnostics.
Understanding global biodiversity patterns is one of the main objectives of ecology. Spatial variation in species richness can be explained by several environmental factors. The relationships between species richness and environmental factors have been associated with latitudinal, longitudinal and elevational gradients. The number of species is determined by birth, death and migration rates of species in a given area. These rates are affected by abiotic and biotic factors acting at local and regional scales. Climatic seasonal variation may also influence biodiversity, directly through physiological limitations and indirectly through biotic interactions, vegetation structure and food availability. Climate and land use change are the main factors for landscape simplification and biotic homogenization. Thus, the study of community patterns across environmental gradients may help to predict the effect of projected environmental change.
I investigated how abiotic and biotic factors influence different facets of bird diversity across an elevational gradient. My study was conducted along an elevational gradient spanning 2000 m within and around Podocarpus National Park and San Francisco reserve on the southeastern slope of the Andes in Ecuador. The climate is humid tropical montane with a bimodal rain regime. The region is characterized by evergreen premontane forest at low elevations, evergreen lower montane forest at mid elevations and upper montane forest at high elevations. The elevational gradient has natural continuous forests within the protected reserves and fragmented forests surrounding the reserves in a matrix of cattle pastures. To monitor bird diversity, I placed nine 20-m radius point counts within 18 one-hectare plots, in continuous and fragmented forest at 1000, 2000 and 3000 m a.s.l. I recorded and identified all birds for 10 minutes within each point count. Bird communities were sampled eight times per plot, in the most humid season and in the least humid season of 2014 and 2015. To estimate flower and fruit availability, I recorded all plants with open flowers and ripe fruits within each point count. To obtain the relative invertebrate availability, I assessed understory invertebrate fresh biomass using a standardized sweep-netting design along 100-metre borders of each plot. Vertical vegetation heterogeneity was estimated at eight layers above the ground within each point count. Temperature for each plot was obtained using an air temperature regionalization tool and precipitation through remote sensing techniques and meteorological data.
In the first chapter of this thesis, I explored the effects of elevation, climate and vegetation structure on overall bird communities as well as on frugivorous and insectivorous birds. I found that elevation was mostly indirectly associated with bird diversity, jointly mediated via temperature, precipitation and vegetation structure. Additionally, elevation was directly and positively associated with both the overall bird community and with insectivores, but not with frugivores. My findings indicate a reduction of bird diversity due to climatic factors and vegetation structure with increasing elevation. However, the direct, positive effect of elevation suggests that bird diversity was higher than expected towards high elevations, probably due to spatial, biotic and evolutionary settings.
In the second chapter, I analysed the influence of climate and resource availability on temporal variation of bird communities. I found a higher bird diversity in the least humid season than in the most humid season. The seasonality of the bird communities was mainly driven by temperature and precipitation. While temperature had a significant positive effect at high elevations, precipitation had a significant negative effect at low elevations. Resource availability had no significant effect. My findings suggest that the temporal fluctuations in bird communities likely occur due to climate
constraints rather than due to resource limitations.
In the third chapter, I studied the effect of forest fragmentation on taxonomic and functional bird diversity. I found that taxonomic diversity was higher in fragmented compared to continuous forests, while functional diversity was negatively affected by fragmentation, but only at low elevations. The increase of taxonomic diversity in disturbed habitats suggests an increase of habitat generalists, which may compensate the loss of forest specialists. My findings suggest that taxonomic diversity can be uncoupled from functional diversity in diverse communities at low elevations.
My results show the effects of environmental factors on the spatio-temporal patterns of bird communities and the potentially uncoupled responses of taxonomic and functional diversity to forest fragmentation. My findings highlight that bird communities respond differently to abiotic and biotic factors across elevational gradients. Overall, my study helps to better understand the mechanisms that drive species communities in response to complex environmental conditions, which could be an essential contribution for the conservation of bird communities in the tropical Andes.
Die Steuerung biochemischer Prozesse oder die Verbesserung von Materialien erfordert zunächst ein tiefgründiges Verständnis über die zugrundeliegenden Systeme. Zur Untersuchung eignet sich Licht als ideales Werkzeug, da hiermit nützliche Informationen über die chemische Struktur, ihre Eigenschaften sowie den zusammenhängenden, schnellen Reaktionsabläufen erhalten werden können. Um die Aufklärung zu erleichtern können kleine, chemische Verbindungen eingeführt werden, welche beispielsweise ein Fluoreszenzmarker, eine photolabile Schutzgruppe oder eine photoschaltbare Verbindung sein können. Von jeweils einem Vertreter dieser Moleküle wurden unterschiedliche Studien durchgeführt, dessen Ergebnisse in dieser Arbeit in insgesamt drei Projekten zusammengefasst werden.
Zunächst wurde die Funktionalität der Helikase RhlB untersucht, die der Familie der DEAD-Box Proteine zugeordnet wird, und RNA-Duplexe in ihre Einzelstränge entwindet. Als RNA-Modellduplex diente JM2h, an dem ein RNA-Einzelstrang fluoreszenzmarkiert war (M2AP6). Die Einführung dieses Markers ermöglichte die Durchführung von statischen Fluoreszenzmessungen sowie von Mischexperimenten, die mit Hilfe der stopped-flow-Technik durchgeführt wurden. In den einleitenden Studien wurde die Helikase weggelassen, wodurch der Fokus auf den Fluoreszenzeigenschaften der RNA gelegt wurde. Die Ergebnisse hierzu zeigten, dass die Fluoreszenzintensität des Einzelstrangs durch Zugabe des komplementären Strangs deutlich abnimmt, wobei das Minimum bei einem äquimolaren Verhältnis erreicht wird. Die dazugehörigen stopped-flow-Messungen zeigten eine Beschleunigung der Hybridisierungsreaktion, wenn höhere Konzentrationen des Gegenstrangs in der Lösung vorhanden waren. Nach anschließender Zugabe der Helikase zur Lösung wurde ein Anstieg der Fluoreszenzintensität erwartet, der vom separierten Einzelstrang M2AP6 herrühren sollte. Dieser Anstieg wurde jedoch erst nach weiterer Zugabe von ATP beobachtet, der auf eine ATP-Abhängigkeit der Entwindungsreaktion von RhlB hindeutet. Diese Abhängigkeit wurde auch bereits für andere Helikasen der DEAD-Box Familie entdeckt. Die korrekte Funktionalität sowie die ATP-Abhängigkeit wurden in stopped-flow-Messungen verfiziert, bei denen der Fluoreszenzanstieg auch zeitaufgelöst betrachtet werden konnte. Für die spektralen Korrekturen der Fluoreszenzspektren wurde ein selbstgeschriebenes MATLAB-Programm namens FluCY verwendet (engl.: Fluorescence Correction & Quantum yield), welches eine schnelle und fehlerfreie Verarbeitung des Datensatzes ermöglichte.
Die zwei im folgenden beschriebenen Projekte handeln von photoaktivierbaren Molekülen. Zum einen photolabile Verbindungen, welche die Funktion z.B. eines Biomoleküls durch eine chemische Modifikation deaktivieren können. Durch eine lichtinduzierte Reaktion kommt es zur Abspaltung der Modifikation und die Funktion ist wiederhergestellt. In dieser Arbeit wurden verschiedene photolabile Schutzgruppen untersucht, die denselben Chromophor BIST (BIsStyryl-Thiophen) tragen. Durch die Einführung dieses Chromophors absorbierten sämtliche untersuchte Verbindungen sehr effizient sichtbares Licht (epsilon(445)=55.700 M^(-1) cm^(-1)), wodurch der photoinduzierte Bindungsbruch mit Wellenlängen durchgeführt werden, die bei einer biologischen Anwendungen keinen Schaden an der Zelle anrichten würden. Hieraufhin wurden in statischen und zeitaufgelösten Absorptionsmessungen Teilschritte der Freisetzungsreaktion untersucht, indem nach Photoanregung die Absorptionsänderungen auf verschiedenen Zeitskalen analysiert wurden. Die ultraschnelle Dynamik im Piko- bis Nanosekundenbereich (10^(-12)-10^(-9) s) wird durch eine spektral breite, positive Absorptionsänderng dominiert. Diese impliziert, dass die Deaktivierung über den Triplettpfad abläuft, der die vergleichsweise niedrigen Freisetzungsausbeuten erklärt (phi(u) < 5). Aufgrund des hohen Extinktionskoeffizienten reichen dennoch bereits niedrige Strahlungsdosen aus, um eine Freisetzung zu initiieren. Der geschwindigkeitsbestimmende Schritt dieser Reaktion ist dem Zerfall des aci-nitro Intermediats zugeordnet. Für ein sekundäres Amin, welches mit BIST geschützt wurde, ist eine Lebensdauer des Intermediats von 71 µs gefunden worden.
In einigen Fällen ist es erwünscht, eine vorliegende Aktivität nicht nur ein-, sondern auch ausschalten zu können, wofür photochrome Verbindungen (oder Photoschalter) verwendet werden. Die in dieser Arbeit untersuchte Verbindung ceCAM ist ein Alken-Photoschalter und vollführt bei Bestrahlung mit Licht eine cis/trans-Isomerisierung. ceCAM ist das Cyanoester-Derivat (ce) von Cumarin-substituierten Allylidenmalonat, von denen beide Konformere sehr effizient sichtbares Licht absorbieren trans: epsilon(489)=50.300 M^(-1) cm^(-1); cis: epsilon(437)=18.600 M^(-1) cm^(-1)). Andere photophysikalische Eigenschaften umfassen u.a. hohe thermische und photochemische Stabilität. Letztere wurde über ein Experiment nachgewiesen, bei dem die lichtinduzierte Isomerisierung alternierend durchgeführt wurde und selbst bei über 250 Zyklen keine signifikate Abnahme der Absorption beobachtet werden konnte. Des Weiteren konnte die Reaktion mit Quantenausbeuten von 39% (trans) und 42% (cis) induziert werden, wobei im photostationären Gleichgewicht auch hohe Isomerenverhältnisse mit bis zu 80% (trans) und 96% (cis) akkumuliert werden konnten. Die Geschwindigkeit der Reaktion wurde mit Hilfe der Ultakurzzeit-Spektroskopie untersucht. Die Dynamik im Zeitbereich von ps-ns zeigte, dass die trans/cis-Isomerisierung unterhalb von 0,5 ns und die umgekehrte Reaktion noch viel schneller (wenige ps) abgeschlossen ist. Durch die Untersuchungen in dieser Arbeit an den BIST-Verbindungen und ceCAM sind viele vorteilhafte, photophysikalische Eigenschaften charakterisiert worden, wodurch sie als verbesserte Alternative zu den bisher bekannten photolabilen Schutzgruppen oder Photoschaltern anzusehen sind.
The members of the multidrug/oligosaccharidyl-lipid/polysaccharide (MOP) transporter superfamily mediate export of a wealth of molecules of physiological and pharmacological importance. According to the Transporter Classification Database (TCDB), the MOP superfamily is mainly categorized into six distantly related families functionally characterized families: the multidrug and toxic compound extrusion (MATE), the polysaccharide transporter (PST), the oligosaccharidyl-lipid flippase (OLF), the mouse virulence factor (MVF) the agrocin 84 antibiotic exporter (AgnG), and the progressive ankylosis (Ank) family. Among these, the multidrug resistance MATE family transporters are most ubiquitous, being present in all domains of life: Archaea, Bacteria and Eukarya. As secondary active transporters, they utilize transmembrane electrochemical ion gradients of Na+ and/or H+ in order to drive the efflux of xenobiotics or cytotoxic metabolic waste products with specificity mainly for polyaromatic and cationic substrates. Active efflux of drugs and toxic compounds carried out by multidrug transporters is one of the strategies developed by bacterial pathogens to confer multidrug resistance. MATE proteins provide resistance to, e.g., fluoroquinolone, aminoglycoside antibiotics, and anticancer chemotherapeutical agents, thus serving as promising pharmacological targets for tackling a severe global health issue. Based on their amino acid sequence similarity, the MATE family members are classified into the NorM, the DNA-damage-inducible protein F (DinF), and the eukaryotic subfamilies. Structural information on the alternate conformational states and knowledge of the detailed mechanism of the MATE transport are of great importance for the structure-aided drug design. Over the past decade, the crystal structures of representative members of the NorM, DinF and eukaryotic subfamilies have been presented. They all share similar overall architecture comprising 12 transmembrane helices (TMs) divided into two domains, the N-terminal domain (TMs 1-6) and the C-terminal domain (TMs 7-12), connected by a cytoplasmic loop between TM6 and TM7 (Fig. II.1). Since all available MATE family structures are known only in V-shaped outward-facing states with the central binding cavity open towards the extracellular side, a detailed understanding of the complete transport cycle has remained elusive. In order to elucidate the underlying steps of the MATE transport mechanism, structures of distinct intermediates, particularly inward-facing conformation, are required.In my PhD project, structural and functional studies have been performed on a MATE family (DinF subfamily) transporter, PfMATE, from the hyperthermophilic and anaerobic archaeon Pyrococcus furiosus. This protein was produced homologously in Pyrococcus furiosus as well as heterologously in Escherichia coli, and used for the subsequent purification and crystallization trials by the vapor diffusion (VD) and lipidic cubic phase (LCP) method. To the best of my knowledge, PfMATE is the first example of a successful homologous production of a membrane protein in P. furiosus. Due to the very low final amount of the purified protein from the native source, the heterologously produced PfMATE samples were typically used for the extensive structural studies. Crystal structures of PfMATE have been previously determined in an outward-facing conformation in two distinct states (bent and straight) defined on the arrangement of TM1. A pH dependent conformational transition of this helix regulated by the protonation state of the conserved aspartate residue Asp41 was proposed. However, it has been discussed controversially, leading to the hypothesis about TM1 bending to be rather affected by interactions with exogenous lipids (monoolein) present under the crystallization conditions. Based on these open questions, an experimental approach to investigate the role of lipids as structural and functional modulators of PfMATE has been taken in the course of my PhD project. The interplay between membrane proteins and lipids can affect membrane protein topology, structure and function. Considering differences between archaeal and bacterial lipid composition, cultivation of P. furiosus cells and extraction of its lipids was followed by the mass spectrometry (MS) based lipidomics for identification of individual lipid species in the archaeal extract. In order to assess the effects of lipids on PfMATE, different lipid molecules were used for co-purification and co-crystallization trials. This dissertation presents a workflow leading to the structure determination of a MATE transporter in the long sought-after inward-facing state, which has been achieved upon purification and crystallization of the heterologously produced PfMATE in the presence of lipids from its native source P. furiosus. Also, the PfMATE outward-facing state obtained from the crystals grown at the acidic pH conditions sheds light on the previously proposed pH-dependent structural alterations within TM1. It is interesting to note that the inward and outward-facing states of PfMATE were obtained from the crystals grown under similar conditions, but in the presence and absence of native lipids, respectively. This observation supports the hypothesis about physiologically relevant lipids to act as conformational modulators or/and a new class of substrates, expanding the substrate spectrum of the MATE family transporters. Comparative analysis of two PfMATE states reveals that transition from the outward to the inward-facing state involves rigid body movements of TMs 2-6 and 8-12 to form an inverted V, facilitated by a loose binding of TMs 1 and 7 to their respective bundles and their conformational flexibility. Local fluctuations within TM1 in the inward-facing structure, including bending and unwinding in the intracellular half of the helix, invoke its highly flexible nature, which is suitable for ion and substrate gating.
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The electron transport chain (ETC) is used by cells to create an electrochemical proton gradient which can be used by the ATP synthase to produce ATP. ETC, also called respiratory chain, is formed in mitochondria by four complexes (complex I-IV) and mediated by two electron carriers: cytochrome c and ubiquinone. Electrons are passed from one complex to another in a series of redox reactions coupling proton pumping from the negative (N) side of the membrane to the positive (P) side. Complex I can introduce electrons into the ETC by oxidizing NADH to NAD+ and reducing quinone (Q) to quinol (QH2). The process accomplishes pumping of four protons across the membrane. Complex II is another electrons entry point. It catalyzes the oxidation of succinate to fumarate while reducing Q to QH2. Complex III, also called cytochrome bc1 complex, can transfer the electrons from QH2 to cytochrome c and couple to proton pumping. In complex III the Q-cycle contributes four proton translocations: two protons are required for the reduction of one quinone to a quinol and two protons are released to the P side. Complex IV (cytochrome c oxidase), the terminal complex of the ETC, catalyzes the electron transfer to oxygen and pumps four protons to the P side. Structures of ETC complexes are available. However, the structure of a hyperthermophilic cytochrome bc1 complex has not been elucidated till now. Additionally, the dimeric crystal structure of cytochrome c oxidase from bovine has been discussed controversially.
To build up a functional complex, cofactors are required. The active site of A- and B-type cytochrome c oxidases contain the high spin heme a which is synthesized by the integral membrane protein heme A synthase (HAS). HAS can form homooligomeric complexes and its oligomerization is essential for the biological function of HAS. HAS is evolutionarily conserved among prokaryotes and eukaryotes. Despite its importance, little is known about the detailed structural properties of HAS oligomers.
During my PhD studies, I focused on the cytochrome c oxidase (AaCcO), the cytochrome bc1 complex (Aabc1) and the heme A synthase (AaHAS) from Aquifex aeolicus. This organism is one of the most hyperthermophilic ones and can live at extremely high temperatures, even up to 95 °C. Respiratory chain complexes provide energy for the metabolism of organisms, and their structures have been studied extensively in the past few years. However, there has been a lack of atomic structures of complexes from hyperthermophilic and ancient bacteria, so little is known about the mechanism of these macromolecular machines under hyperthermophilic conditions. Therefore, my PhD studies had four main objectives: 1) to structurally and functionally characterize AaCcO, 2) to reveal the mechanism of Aabc1 thermal stability based on its structure, 3) to determine the oligomerization of AaHAS, 4) to provide valuable insights into the relationship between function and oligomerization of AaHAS.
1) Structure of AaCcO
Heme-copper oxidases (HCOs) catalyze the oxygen reduction reaction being the terminal enzymes in the plasma membranes in many prokaryotes or of the aerobic respiratory chain in the inner mitochondrial membrane. By coupling this exothermic reaction to proton pumping across the membrane to the P side, they contribute to the establishment of an electrochemical proton gradient. The energy in the proton electrochemical proton gradient is used by the ATP synthase to generate ATP. HCOs are classified into three major families: A, B and C, based on phylogenetic comparisons. The well-studied aa3-type cytochrome c oxidase from Paracoccus denitrificans (P. denitrificans) represents A-family HCOs. So far, the only available structure of the ba3-type cytochrome c oxidase from Thermus thermophilus represents the B-family of HCOs. This family contains a number of bacterial and archaeal oxidases. The C-family contains only cbb3-type cytochrome c oxidases.
The AaCcO is one of the ba3-type cytochrome c oxidases. Based on the genomic DNA sequence analysis, it has been revealed that A. aeolicus possesses two operons coding for cytochrome c oxidases (two different subunit I genes, two different subunit II genes and one subunit III gene). So far, only subunits CoxB2 and CoxA2 were identified. The presence of the additional subunit IIa was reported in 2012. Moreover, a previous paper reported that AaCcO can use horse heart cytochrome c and decylubiquinol as electron donors and the typical cytochrome c oxidase inhibitor cyanide does not block the reaction completely.
In the course of my PhD studies, I performed heterologous expression of AaCcO in Pseudomonas stutzeri (P. stutzeri) and co-expression with AsHAS in Escherichia coli, respectively. The subcomplex CoxA2 and CoxB2 can be purified from P. stutzeri, however, it lacks heme A. Additionally, a protocol for the heterologous production of cytochrome c555 from A. aeolicus was established. In parallel, I also purified the AaCcO from native membranes according to previously reported methods with some modifications. The activity of AaCcO with its native substrate, cytochrome c555, was 14 times higher than with horse heart cytochrome c.
To enable a detailed investigation and comparison of AaCcO and other cytochrome c oxidases, the cryo-EM structure of AaCcO was determined to 3.4 Å resolution. It shows that the three subunits CoxA2, CoxB2, and IIa are tightly bound together to form a dimer in the membrane. Surprisingly, CoxA2 contains two additional TMHs (TMH13 and TMH14) to enhance the protein stability. The cofactors heme a3, heme b, CuA and CuB are also identified. Interestingly, two molecules of 1,4-naphthoquinone and cardiolipin were observed in the dimer interface. Based on the structure analysis, the AaCcO possesses only the K-pathway for proton delivery to the active site and proton pumping.
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Proteostasis stressors that destabilize the cellular proteome, like heat shock, trigger transcription and translational reactions leading to the accumulation of heat shock proteins, also called molecular chaperones. During stress, induction of stress response genes is prioritized so that molecular chaperones and other stress response proteins are synthesized to cope with proteome misfolding and aggregation. In order to promote the selective translation of stress-specific genes, translation of others genes that are nonessential for cell survival has to stop. Nonessential protein-coding mRNAs accumulate in the cytosol with the associated proteins to form granular structures called stress granules (SG). These membrane-less organelles are thought to be involved in cell survival, mRNA stabilization and mRNA triage. They were proposed to form via the liquid-liquid phase separation which can be triggered by the high local concentration of RNA-binding proteins. mRNAs were long thought to simply play a scaffolding role by bringing RNA-binding proteins together and allowing their concentration and local aggregation. Recently, the active role of mRNAs in the SG assembly became apparent, too. For example, the spontaneous assembly of total yeast RNA into granules was observed, and these RNA granules showed a large overlap with SG transcriptome. Furthermore, cytosolic mRNAs can be released from polyribosomes under stress and be exposed to the cytosolic contents as free mRNAs. It has been suggested that this massive increase of free mRNA in the cytosol might overload the capacities of RNA-stabilizing proteins. The remaining free mRNA molecules would then become exposed to misfolded and aggregation-prone proteins and trigger granulation.
We investigated the role of free mRNAs in different stress conditions during the early and chronic phases of stress response and explored their involvement in SGs assembly and amlyoidogenesis. We identified and studied the interactome of a free mRNA probe incubated with heat shocked cell lysate by means of quantitative mass spectrometry. Proteomics analysis allowed us to identify 79 interactors of free mRNA. Among these interactors, we focused on the translation initiation factor eIF2α and on the RNA methyltransferase TRMT6/61A. Both interactions were verified biochemically, which confirmed that the association is enhanced in heat shocked lysate. In vitro reconstitution showed that free mRNA and TRMT6 interact directly. Ex vivo pulldowns revealed that eIF2α and TRMT6/61A interact under stress conditions and that this interaction is RNA-dependent.
TRMT6/61A is a tRNA methytransferase responsible for the methylation of the adenosine 58 at the position 1 producing m1A. However, also mRNAs have been recently found to be methylated by TRMT6/61A. Our bioinformatics analyses revealed that significantly more mRNAs enriched in SG contain the motif for methylation than SG-depleted mRNAs. We hypothesized that m1A methylation of mRNAs could constitute a tag for the mRNAs targeting to SGs. TRMT61A knock-down (KD) cell lines were generated using the CRISPR-Cas9 technique. In TRMT61A KD cells, m1A was significantly reduced on mRNAs, which correlated with an increased sensitivity of the cells to proteostasis stress. KD cells also showed defects in SG assembly. In heat shocked cells, an m1A motif-containing mRNA recovered better after returning to normal temperature than a control mRNA with mutated motif. In addition, we could isolate SGs and analyze their m1A and m6A content by mass spectrometry. While m6A content in SG mRNAs was very similar to cytosolic mRNAs, m1A was almost 8 times enriched in SGs. Thus, we could confirm experimentally the results of the bioinformatics analysis and directly support the hypothesis that m1A is a tag to direct mRNAs for sequestration. Finally, we compared amyloidogenesis in wild-type and TRMT61A KD cell lines. Cells with reduced levels of TRMT61A demonstrated an increased accumulation of transfected Aβ and an impaired aggregate clearance. Various assays led us to conclude that the lack of m1A deposition on mRNAs enhanced RNA co-aggregation with amyloids.
Based on our results, we propose a model explaining the fate of free mRNA during proteostasis stress. Upon polysome disassembly, free mRNA is released and becomes free to interact with other proteins, including the methyltransferase TRMT6/61A. TRMT6/61A methylates the freed mRNAs containing the cognate motif. The m1A tag then targets mRNAs to SGs promoting sequestration. Upon stress release, SGs disassemble, thus releasing rescued mRNAs which could now reenter translation and support cell recovery. On the other hand, non-sequestered mRNAs increasingly co-aggregate with aggregating proteins. Thus, deficiency of the N1-adenine methylation of mRNAs due to the lack of TRMT6/61A increases the amount of unpacked mRNAs. The deposition of m1A on mRNAs could then be a way to protect them during exposure to stress, to limit their co-aggregation with misfolded proteins and to allow a faster recovery upon stress release.
Electron microscopy (EM) demarcates itself from other structural biology techniques by its applicability to a large range of biological objects that spans from whole cells to individual macromolecules. In single-particle cryo-EM, frozen-hydrated samples, prepared by vitrification with liquid ethane, retain macromolecules in a medium that approximates their natural aqueous environment and that, in this way, preserves high-resolution structural information. Nonetheless, the sensitivity of biological specimens to the high-energy electron beam introduces restrictions on the total dose that can be used during imaging while avoiding significant radiation damage. Consequently, the signal-to-noise ratio attained in each individual image is very low, and structures with high-resolution detail must be recovered by averaging thousands of projections in random orientations. This is achieved through the use of image processing algorithms capable of aligning and classifying particle images through the evaluation of cross-correlation functions between each particle and a reference.
In recent years, several innovations took place in the field of single-particle cryo-EM, among which the development of direct electron detectors must be highlighted. Direct electron detectors have a better detective quantum efficiency (DQE) than both photographic film and CCD cameras, and offer a fast readout, compatible with the acquisition of movie stacks. Additionally, new image processing software has become available, with more sophisticated algorithms and designed to take advantage of the specific characteristics of the movies produced with direct electron detectors. These technological advances in both hardware and software catalyzed a revolution in single-particle cryo-EM, which is now routinely used for the determination of near-atomic structures. As a result, the range of macromolecules accessible to cryo-EM has increased drastically, as targets that were unsuitable before for imaging due to their small dimensions can now be adequately visualized and refined to high-resolution.
During my doctoral work, I have used single-particle cryo-EM to structurally characterize challenging membrane proteins, with a strong emphasis on protein complexes from aerobic respiratory chains. In chapter I of this thesis, I present my results on the bovine respirasome, a mitochondrial supercomplex composed of complexes I, III and IV. Chapter II is dedicated to the analysis of the structure of alternative complex III (ACIII) from Rhodothermus marinus, a bacterial quinol:cytochrome c/HiPIP oxidoreductase unrelated to the canonical cytochrome bc1 complex (complex III). In addition, in chapter III I describe the structure of KimA, a high-affinity potassium transporter that drives the transport of its substrate by using the energy stored in the form of a proton gradient. These three membrane proteins, with molecular weights ranging from 140 kDa to 1.7 MDa, illustrate the possibilities and limitations faced in single-particle cryo-EM.
The aerobic respiratory chain is responsible for the generation of a transmembrane difference of electrochemical potential that is then used by ATP synthase for the production of ATP or for driving solute transport over the membrane. They catalyze the transfer of electrons from a substrate, such as NADH or succinate, to molecular oxygen and use the chemical energy released in these redox reactions to drive the translocation of protons, or in some cases sodium ions, to the intermembrane space in mitochondria or the periplasm in bacteria.
In mitochondria, the respiratory chain is composed of four complexes: complex I (NADH:ubiquinone oxidoreductase), complex II (succinate dehydrogenase), complex III (cytochrome bc1 complex) and complex IV (cytochrome c oxidase). While it was for a long time believed that these complexes existed as single entities in the membrane, the use of milder procedures for protein purification and analysis revealed that respiratory complexes associate into well-ordered structures, known as supercomplexes. These have been proposed to offer different structural and functional advantages that are still controversial, including substrate channeling, stabilization of individual complexes and reduction of reactive oxygen species (ROS) production. The most thoroughly studied respiratory supercomplex has been the respirasome, conserved in higher eukaryotes and composed of one copy of complex I, a complex III dimer and one complex IV. By single-particle cryo-EM analysis, I retrieved a 9 Å map of the respirasome from Bos taurus, which allowed the accurate docking of atomic models of the three component complexes. The structure shows that complex III associates to the concave side of the membrane arm of complex I, while complex IV is located between the end of the complex I hydrophobic arm and complex III. Several defined protein-protein contacts are observed between the component complexes, which are mediated predominantly by supernumerary subunits and close to the membrane surfaces. The interactions established between complex I and complex III are extensive and may support the argument that the association of complex I into supercomplexes is required for the stabilization or even the biogenesis of this complex.
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ATP-binding cassette (ABC) transporters constitute an omnipresent superfamily of integral membrane proteins, which catalyze the translocation of a multitude of chemically diverse substrates across biological membranes. In humans, ABC transporters typically act as highly promiscuous exporters, responsible for many physiological processes, multi-drug resistance, and severe diseases, such as hypercholesterolemia, lipid trafficking disorders, and immune deficiency. In all ABC transporters, ATP-driven movements within two highly conserved nucleotide-binding domains (NBDs) are coupled to conformational changes of two transmembrane domains (TMDs), which provide a framework for substrate binding and release on the opposite side of the membrane and enable the transporter to cycle between inward-facing and outward-facing orientations. Several structures of ABC transporters determined either by X-ray crystallography or single-particle electron cryo-microscopy (cryo-EM) have been reported, mostly exhibiting a variation of the inward-facing state, which highlights their dynamic behavior. However, for a complete understanding of the conformational dynamics, further structural information on intermediates is needed – especially for heterodimeric ABC transporters, which are predominant in humans and for which only limited structural information is available.
One prime example of such human heterodimeric ABC transport complexes is the transporter associated with antigen processing (TAP). TAP is a key player of the adaptive immune response, because it translocates proteasomal degradation products into the ER lumen for loading of MHC I molecules. Many functional aspects of TAP have been disclosed in recent years. However, structural information is lacking far behind and a major challenge in the field of medical relevant transporters. Recently, the heterodimeric ABC export system TmrAB (Thermus thermophilus multidrug resistance proteins A and B) was identified as an ortholog of TAP, by sharing structural homology with TAP and, intriguingly, being able to restore antigen presentation in human TAP-deficient cells. Thus, TmrAB is a biochemically well-characterized ABC exporter that can be regarded as a functional ortholog of TAP and serves as a model system for (heterodimeric) ABC export systems in general.
Thus, to illuminate the molecular basis of substrate translocation by single-particle cryo-EM, one of the main objectives of this work was the generation of stabilizing chaperones (synthetic antibodies, nanobodies, cyclic peptides) to reduce the conformational heterogeneity of TAP and TmrAB. Selected antibodies were analyzed with respect to stable complex formation, conformational trapping, and the ability to serve as alignment tools for structural studies by single-particle cryo-EM. Both antibody types were shown to form sufficiently stable complexes to serve as a rigid body for EM analyses. However, all selected antibodies bound to the inward-facing state exclusively.
Hence, for EM studies, various ligands were added to elucidate the full spectrum of conformational states during the catalytic cycle. For TAP, first attempts by negative-stain EM revealed a homogenous distribution of particles on the grid. Surprisingly, no transporter-like features were observed although various attempts were applied to increase the overall sample quality.
For TmrAB, in contrast, the complete conformational space in a native-like lipid environment under turnover conditions was mapped. Cryo-EM analysis of TmrAB incubated with ATP-Mg2+ and substrate revealed two distinct inward-facing conformations (IFwide and IFnarrow) as well as two asymmetric conformations with dimerized NBDs, which were markedly different from all previously reported structures. Here, the catalytically active site was slightly wider and contained ADP, while ATP was still bound at the catalytically-inactive site within the NBDs, demonstrating an asymmetric post-hydrolysis state. Intriguingly for the inward-facing conformations, a weak additional density close to residues M139TmrB and W297TmrB was observed in the inward-facing conformation, which displayed a higher degree of cytosolic gate opening (IFwide) indicating the presence of substrate. To verify that this density corresponds to substrate, single alanine mutations of M139TmrB and W297TmrB were introduced, leading to a strong reduction in substrate binding and transport. Since substrate release requires the opening of the extracellular gate, the absence of an outward-facing open conformation indicated that the opening must be highly transient. In order to explore the outward-facing open conformation, a cryo-EM analysis of the catalytically-inactive TmrAE523QB mutant upon incubation with ATP-Mg2+ was performed. Remarkably, within the same dataset, two different outward-facing conformations (occluded and open) were resolved, both in an ATP-bound state, which indicated that binding of ATP is sufficient to drive the large-scale conformational transition from inward-facing to outward-facing open. To explore the effect of nucleotide hydrolysis, TmrAB was trapped by vanadate. Again, two populations were observed, representing the outward-facing open and outward-facing occluded conformation.
Based on several structures of key intermediates, determined under turnover conditions or trapped in the pre-hydrolysis and hydrolysis transition state, for the first time the complete description of the ATP hydrolysis and translocation cycle of a heterodimeric ABC transport complex was elucidated in one single study. By mapping the conformational landscape during active turnover, aided by mutational and chemical modulation of kinetic rates, fundamental and so-far hidden steps of the substrate translocation cycle of asymmetric ABC transporters were resolved and a general template for (heterodimeric) ABC exporter-catalyzed substrate translocation was provided.
The enzyme 5-lipoxygenase (5-LO) occupies a central role in the biosynthesis of inflammatory leukotrienes and thus takes part in the pathogenesis of related diseases. Its occurrence is mainly restricted to cells of the immune system including granulocytes, monocytes/macrophages or B-lymphocytes and can be induced by cell differentiation of myeloid cells after treatment with differentiating agents, such as DMSO, retinoic acid or the combination of TGFβ/1,25(OH)2D3. The latter contribute to the highest level of induction of mRNA and protein expression. Its cell specific occurrence is at least partly due to DNA methylation in cells that do not exhibit 5-LO activity and genetic regulation is further dependent on histone acetylation. 5-LO expression is controlled by transcription factors binding to the promoter sequence of the ALOX5 gene that induce basal promoter activity, as well as promoter independent effects including transcript initiation and elongation, which are mostly attributed to TGFβ/1,25(OH)2D3 signaling. The ALOX5 gene resembles a typical housekeeping gene, hence lacks TATA- or CAAT-boxes for transcriptional regulation, but displays a high GC-content with eight GC-boxes, five of which are arranged in tandem, that provide binding sites for transcription factors Sp1, Sp3 and Egr-1.
The proximal ALOX5 promoter is furthermore a target for additional factors, such as TGFβ effector proteins SMADs or the vitamin D receptor and possesses additional consensus sequences for transcriptional regulators, including NF-κB or PU.1. However, as yet no actual binding of these proteins to the promoter sequence was demonstrated and an unbiased screening for identifying further ALOX5 promoter interacting proteins, which might have impact on 5-LO expression, is still lacking. For this purpose, the present study focused on the identification of significantly interacting proteins, employing DNA-affinity enrichment coupled to label-free quantitative proteomics, spanning a sequence of about 270 base pairs of the proximal ALOX5 promoter. For the elucidation of potential cell specific differences in protein patterns and compositions, DNA pulldowns were performed by using oligonucleotide stretches comprising the core promoter sequence including the 5-fold GC-box, which were incubated with different cell lines and differentiation states of myeloid, as well as B-lymphocytic lineages. In order to compare different mass spectrometric quantification strategies that would allow for identification of interactors, dimethyl labeling and label-free techniques were used. Since the label-free approach outperformed the label-based one in initial experiments, it was established as standard quantification strategy in all DNA pulldowns performed. The pulldowns of myeloid cell lines in both undifferentiated and differentiated state and B-lymphocytes resulted in a cell-unspecific protein pattern whose composition was similar, regardless of cell lineage. Additionally, further DNA sequences comprising either a vitamin D response element or a SMAD binding element were investigated in the promyelocytic model cell line HL-60 in both undifferentiated and differentiated state. The identified proteins confirmed known interaction partners and furthermore revealed novel potential regulators of the 5-LO promoter. Out of these, the most prominently identified and promising proteins included transcription factors of the KLF- and CCAAT/enhancer binding protein-family. In this context, KLF5 and KLF13 are both involved in the regulation of inflammatory processes, the former additionally being an effector protein of TGFβ-signaling, whose functional characterization is of utmost interest in terms of regulation of 5-LO expression. Further protein characterization will be inevitable for the CCAAT/enhancer binding proteins C/EBPα, C/EBPβ and C/EBPε. These transcription factors are involved in the regulation of inflammatory processes and heterodimers thereof (C/EBPα/β) are known to control TGFβ/1,25(OH)2D3-mediated effects of the CD14 gene.
Several of the identified proteins of the pulldowns containing the tandem GC-box represented interactors of G-quadruplex DNA, including the helicases BLM and DHX36, the ribonucleoproteins hnRNP D and hnRNP K and transcription factor MAZ. Since G-quadruplexes form in G-rich DNA sequences as secondary DNA structures and exhibit substantial regulatory effects on the transcription of their target genes, the potential formation thereof in the ALOX5 core promoter sequence was investigated in a second project. Out of the proteins mentioned above, MAZ is shown to exert resolving effects on G4-DNA and synergistically induce Sp1-dependent gene activation of oncogene h-RAS, which displays analogous promoter characteristics to the ALOX5 gene. A DNA stretch comprising the tandem GC-box was used for elucidating the potential of secondary DNA structure formation. Intriguingly, both immune-based and spectroscopic methods provided clear evidence for the in vitro G-quadruplex formation of the proximal promoter sequence for the first time. In order to provide additional information on a possible regulatory effect of existing G-quadruplex structures on 5-LO transcription, differentiated HL-60 cells were subsequently treated with two distinct G4-DNA stabilizing agents. A porphyrin analogon (TMPyP4) did not exhibit any effects on 5-LO mRNA and protein expression after cell treatment. A second G4-DNA stabilizing agent (pyridostatin) on the other hand revealed significant reduction on 5-LO protein expression after cellular treatment. These mixed results render further experiments inevitable, in order to provide a clear assertion as to whether 5-LO expression is regulated by G-quadruplex structures or not.
Altogether, this study enlarges the knowledge of ALOX5 proximal promoter interacting proteins by corroborating the binding of already known transcription factors and identifying novel interactors. It yields essential groundwork for subsequent functional studies of proteins involved in 5-LO transcription and introduces G-quadruplexes as a new potential mechanism in ALOX5 gene regulation.
The division Ascomycota(Fungi) contains a large number of taxa known to reproduce only asexually by the formation of conidia or other non-motile propagules produced by mitotic cellular devisions. They are called anamorphic, mitosporic, asexual or conidial fungi and ecologically, they are often found associated with plant debris in different stages of decay. In general, saprobic anamorphs of ascomycetous affinities are poorly studied and their outstanding diversity is currently underexplored. Phylogenetic relationships are unknown for many of them and they are still largely underrepresented in the current phylogenetic classification system of Fungi, with many morphologically defined anamorphic taxa still awaiting taxonomic reassessment in the light of molecular approaches. The increasing usage of molecular markers combined with robust statistical methods has allowed their phylogenetic affinities to be revealed and to gradually incorporate many of them into the different taxonomic groups of the division Ascomycota. However, the phylogenetic placement and taxonomic status of a large number of saprobic taxa remain unresolved due to the lack of DNA sequence data.
The present dissertation aims to explore the rich but understudied diversity of those anamorphic fungi traditionally known as hyphomycetes that inhabit dead plant debris. It consists of five publications in which a polyphasic approach integrating morphological, developmental, cultural and molecular data was used to incorporate novel or incertae sedis taxa within Ascomycota and to make more sound decisions regarding their taxonomic status. Specific objectives include: 1. the collection, isolation and morphological characterization of selected anamorphic fungi representing putative new or interesting taxa of uncertain phylogenetic placement; 2. the generation of novel DNA sequence data to infer their phylogenetic relationships and to resolve their taxonomic affinities within Ascomycota; 3. the testing of any previously available morphologically based hypotheses on their putative position, generic placement or relationships with teleomorphic, pleomorphic or other anamorphic taxa; and 4. the determination of their generic validity, monophyly and taxonomic boundaries using molecular data and phylogenetic analyses methods.
Materials studied in these five projects consisted of specimens collected during field work carried out by the author or collaborators in different countries including USA, the Czech Republic and Panama between the years 2014 and 2017. The target substrates were dead leaves of different palm trees, dead wood and bark of pines and twigs or stems of unknown shrubs and woody vines that are all known to harbor a rich saprobic mycobiota. Putative novelties or anamorphic taxa with unknown or poorly studied phylogenetic affinities were selected for further morphological and molecular investigation. Micromorphological studies were based on fungal structures observed on natural substrate, herbarium specimens and in culture. DNA was extracted from cultures and PCR amplification followed by Sanger sequencing was carried out using relevant molecular markers employed in fungal phylogenetic studies. Newly obtained DNA sequence data were analyzed following a standard phylogenetic analysis pipeline and phylogenetic relationships were reconstructed using character-based methods such as Maximum Likelihood and Bayesian inference.
Conclusion is that anamorphic Ascomycota inhabiting dead plant debris represents a largely untapped source of biodiversity and information still in need of further exploration. A new capnodiaceous genus Castanedospora, seven new species named Taeniolella sabalicola, Hermatomyces bifurcatus, H. constrictus, H. megasporus, H. sphaericoides, H. verrucosus and Septonema lohmanii, and two new combinations, Castanedospora pachyanthicola and H. reticulatus, are proposed based on morphological and DNA sequence data. Molecular phylogenetics was confirmed as the tool of choice for the inference of relationships in novel or incertae sedis anamorphic fungi that are otherwise difficult to assess in the absence of a teleomorphic state. They were first resolved or revisited for several saprobic species such as Ernakulamia cochinensis, H. sphaericus, H. tucumanensis or Septonema fasciculare in a suitable framework for phylogenetic hypothesis testing. Molecular data allowed to fully incorporate all these taxa in Ascomycota, particularly within the classes Dothideomycetes and Sordariomycetes, and to provide a foundation for better taxonomic decisions on their classification. Large and polyphyletic genera such as Taeniolella, Sporidesmium and Septonema, partially treated in this work and containing mostly saprobic species of obscure affinities, remained in need of further investigation.
The World Wide Web is increasing the number of freely accessible textual data, which has led to an increasing interest in research in the field of computational linguistics (CL). This area of research addresses theoretical research to answer the question of how language and knowledge must be represented in order to understand and produce language. For this purpose, mathematical models are being developed to capture the phenomena at various levels in human languages. Another field of research experiencing an increase in interest that is closely related to CL is Natural Language Processing (NLP), which is primarily concerned with developing effective and efficient data structures and algorithms that implement the mathematical models of CL.
With increasing interest in these areas, NLP tools are rapidly and frequently being developed incorporating different CL models to handle different levels of language. The open source trend has benefited all those in the scientific community who develop and use these tools. Due to yet undefined I/O standards for NLP, however, the rapid growth leads to a heterogeneous NLP landscape in which the specializations of the tools cannot benefit from each other because of interface incompatibility. In addition, the constantly growing amount of freely accessible text data requires a high-performance processing solution. This performance can be achieved by horizontal and vertical scaling of hardware and software. For these reasons the first part of this thesis deals with the homogenization of the NLP tool landscape, which is achieved by a standardized framework called TextImager. It is a cloud computing based multi-service, multi-server, multi-pipeline, multi-database, multi-user, multi-representation and multi-visual framework that already provides a variety of tools for various languages to process various levels of linguistic complexity. This makes it possible to answer research questions that require the processing of a large amount of data at several linguistic levels.
The integrated tools and the homogenized I/O data streams of the TextImager make it possible to combine the built-in tools in two dimensions: (1) the horizontal dimension to achieve NLP task-specific improvement (2) the orthogonal dimension to implement CL models that are based on multiple linguistic levels and thus rely on a combination of different NLP tools. The second part of this thesis therefore deals with the creation of models for the horizontal combination of tools in order to show the possibilities for improvement using the example of the NLP task of Named Entity Recognition (NER). The TextImager offers several tools for each NLP task, most of which have been trained on the same training basis, but can produce different results. This means that each of the tools processes a subset of the data correctly and at the same time makes errors in another subset. In order to process as large a subset of the data as possible correctly, a horizontal combination of tools is therefore required. Machine learning-based voting mechanisms called LSTMVoter and CRFVoter were developed for this purpose, which allow a combination of the outputs of individual NLP tools so that better partial data results can be achieved. In this thesis the benefit of Voter is shown using the example of the NER task, whose results flow
back into the TextImager tool landscape.
The third part of this thesis deals with the orthogonal combination of TextImager tools to accomplish the verb sense disambiguation (VSD). The CL question is investigated, how verb senses should be modelled in order to disambiguate them computatively. Verbsenses have a syntagmatic-paradigmatic relationship with surrounding words. Therefore, preprocessing on several linguistic levels and consequently an orthogonal combination of NLP tools is required to disambiguate verbs on a computational level. With TextImager’s integrated NLP landscape, it is now possible to perform these preprocessing steps to induce the information needed for the VSD. The newly developed NLP tool for the VSD has been integrated into the TextImager tool landscape, enabling the analysis of a further linguistic level.
This thesis presents a framework that homogenizes the NLP tool landscape in a cluster-based way. Methods for combining the integrated tools are implemented to improve the analysis of a specific linguistic level or to develop tools that open up new linguistic levels.
The last decades have brought tremendous progress in understanding the phase structure of the strongly interacting matter. This has been driven by studying heavy-ion collisions on the experimental side and Lattice QCD, functional approaches to QCD, perturbation theory and effective theories on the theoretical side. Of particular interest is the transition from hadrons to partonic degrees of freedom which is expected to occur at high temperatures or high baryon densities. These phases play an important role in the early universe and the core of neutron stars. Nowadays, the existence of a deconfined phase, i.e. Quark Gluon Plasma (QGP) and its phase transition at vanishing and small net-baryon densities, are well established. However, the situation at larger densities is less clear.
Complementary to the studies of matter at high temperatures and low net-baryon densities performed at RHIC and LHC, the proposed Compressed Baryonic Matter (CBM) experiment at the future FAIR facility, aims to explore the QCD phase diagram at very high baryon-net densities and moderate temperatures. The CBM research program includes the search for the deconfinement phase transition, the study of chiral symmetry restoration in super dense baryonic matter, the search for the critical endpoint, and the study of the nuclear equation of state at high densities. While other experiments (STAR-BES at BNL, BM@N at NICA) are suited to measure bulk observables, CBM is explicitly designed to access rare observables, such as multi-strange hadrons, dileptons, hypernuclei and charmonium. Therefore, a key feature of CBM is the very high interaction rate, exceeding those of contemporary and proposed nuclear collision experiments by several orders of magnitude. However, some of the rare probes have a complex signature, hidden in a background of several hundreds of charged tracks. This forbids a conventional, hardware-triggered readout; instead, the experiment combines self-triggered front-end electronics, fast and free-streaming data transport, online event reconstruction and online event selection.
The central detector for tracking and momentum determination of charged particles in the CBM experiment is the Silicon Tracking System (STS). It is designed to measure up to 700 charged particles in nucleus-nucleus collisions between 0.1 and 10 MHz interaction rate, to achieve a momentum resolution in 1 Tm dipole magnetic field better than 2%, and to be capable of identifying complex particle decays topologies, e.g., such with strangeness content. The STS comprises 8 tracking stations equipped with double-sided silicon microstrip sensors. Two million channels are read out with self-triggering electronics, matching the data streaming and on-line event analysis concept applied throughout the experiment. The detector’s functional building block consists of a silicon sensor, aluminum-kapton microcables and two front-end electronics boards integrated in a module. The custom-designed ASIC (STS-XYTER) implements the analog front-end, the digitizer and the generation of individual hit data for each signal.
Design of the front-end chip requires finding an optimal solution for time and input charge measurements with tight constraints: small area (58 μm channel pitch), low noise levels (below 1500 ENC(e− )), low power consumption (610 mW/channel), radiation hard architecture and speed requirements. Being a part of the first processing stage in the full readout and data acquisition chain, the characterization of the chip and its integration with the detector components is a crucial task. In this work, various methods and tools are established for testing and qualifying the ASIC analog front-end. A procedure for amplitude and timing calibration is developed using different functionalities of the chip. The procedure is optimized for our prototype system in order to achieve the best accuracy in the shortest amount of time. Results were verified using a gamma source and an external pulse generator, showing discrepancies below 5%.
Among the multiple operation requirements of the ASIC, the noise performance is of essential importance. The characterization of the chip noise is carried out as a function of a large number of parameters such as: low-voltage power regulators, input capacitance, shaping time, temperature and bond’s protective glue (glob-top). These studies allowed to optimize the ASIC configuration settings, to identify possible malfunctions in the low voltage powering scheme and to select possible glob-top materials to be used in the module assembly. Moreover, important differences are found among odd and even channels, which main cause was related to the bias scheme of the amplifiers of the two groups of channels. This effect has been corrected in the new version (v2.1) of the ASIC.
Despite the STS front-end electronics being located outside of the physics acceptance, they will be exposed to high fluxes of charged particles. Considering the SIS100 possible running scenario, the lifetime dose at the location of the electronics is expected not to exceed 800 krad. Consequently, the STS-XYTERv2 ASIC implements a radiation hard design based on dual-interlocked cells (DICE), and triple modular redundancy (TMR).
Multiple dedicated beam campaigns were carried out to evaluate the ASIC’s design in terms of immunity to single event upsets (SEU) errors and overall performance after a lifetime doses. The DICE cell SEU cross section was measured in a high-intensity proton beam. Result show a significant improvement of the SEU immunity in the STS-XYTERv2 compared to its predecessor, and allows to estimate the upset rate in the CBM running scenario, resulting in less than one SEU/ASIC/day.
The studies on the total ionizing dose (TID) show that the overall noise levels for the ASIC, at the end of the experiment lifetime, are expected to increase by approximately 40 – 60%. Moreover, they demonstrated that short periods of annealing at room temperature can favorably influence the noise performance of the chip.
The assembly and test of the STS modules, a complex process with multiple stages and a long learning curve, is illustrated in different parts of this work. The first prototype modules were built with the front-end board type B (FEBs-B), capable of reading out 128 channels for p and n side respectively. The studies were conducted with a relativistic proton beam of 1.7 GeV/c momentum at the COSY accelerator facility, Research Center Juelich, in March 2018. The campaign brought valuable insights to the development of an effective grounding and powering scheme for reading out the detectors. The signal-to-noise was measured for one of the prototype modules, resulting in values larger than 15 for both polarities. A deeper analysis into the collected data allowed the identification of a logic error in the ASIC that affected the readout rate and the quality of the data. This issue was corrected in the new version of the chip.
A precursor of the STS detector, named mini-STS (mSTS), has been built within the mCBM project carried out in FAIR Phase0. mSTS was built from 4 fully assembled detector modules. To ensure the proper operation of the ASICs that were used in the module assembly, it was required to develop a rigorous quality assurance procedure. A dedicated setup was built based on a custom designed pogo-pin station and a total of 339 chips were tested. More than 90% of good-quality and operational ASICs were obtained. In the mCBM beam campaign of March 2019, four detector modules were successfully operated in a close-to-final readout chain and valuable data were collected. The mSTS detector was exposed to the products of Ag+Au collisions at energies above 1.58 AGeV and overall interaction rates up to 106 , which resembles the real conditions of the CBM experiment.
Along this work, significant progress for the development of the STS detector modules was achieved. Techniques for characterization of the front-end electronics and the complete detector system were developed and worked out. They will be applied for QA of the components during the series production.
During my PhD, I was applying the clumped isotope technique to modern brachiopods and fossil belemnites, and I conducted methodological work. Carbonate clumped isotope thermometry is a tool to reconstruct carbonate precipitation temperatures. In contrast to oxygen isotope thermometry, i.e., the δ18O-thermometer, the carbonate clumped isotope thermometer does not require an estimate for the oxygen isotope composition of the seawater, as it considers the fractionation of isotopes exclusively amongst carbonate isotopologues. The ∆47 value of a carbonate expresses the abundance of the 13C–18O bond bearing carbonate isotopologue, within the carbonate, relative to its random distribution. In thermodynamic equilibrium, the ∆47 value of a given carbonate is solely a function of the carbonate precipitation temperature. However, kinetic isotope fractionations, i.e., vital effects, driven by diffusion, pH or incomplete oxygen isotope exchange between water and dissolved inorganic carbonate species can cause the carbonate to be precipitated with isotopic compositions that are offset from those predicted for thermodynamic equilibrium.
Brachiopods serve as important geochemical archives of past climate conditions. To investigate the nature and significance of kinetic controls on brachiopod shell δ18O and ∆47 values, in collaboration with the BASE-LiNE Earth ITN, I analysed the bulk and clumped isotope compositions of eighteen modern brachiopod shells, collected from different geographic locations and water depths that cover a substantial range of growth temperatures. Growth temperatures and seawater δ18O values for each brachiopod were independently determined. Most of the analysed brachiopods exhibit combined offsets from clumped and oxygen isotope equilibrium, and there is a significant negative correlation between the offset values. The observed correlation slope between offset ∆47 and offset δ18O point to the importance of kinetic effects associated with Knudsen diffusion and incomplete hydration and hydroxylation of CO2 (aq), occurring during biomineralisation. The correlations between the growth rates of the analysed brachiopods and both the offset ∆47 and the offset δ18O values provide further arguments for the presence of kinetic effects. In conclusion, the oxygen and clumped isotope composition of modern brachiopod shells are affected by growth rate-induced kinetic effects that hinder their use for palaeoceanography.
The main objective of this PhD work is to assess the impact of fine-scale air-sea interaction on the performance of a regional climate prediction model in marginal sea regions. Focus is on the North and Baltic Seas, the largest marginal sea area in the mid-latitudes. Motivation for this work is to better understand the interaction between the different components of the climate system, namely atmosphere, ocean and sea-ice. In addition to that, the sea regions of interest, the North and Baltic Seas, are orographically complex and cannot be resolved by a global ocean model. The ice coverage on the Baltic Sea is underestimated in the stand-alone atmospheric model COSMO-CLM due to the low water freezing temperature value assumed, which is not applicable for such brackish water body. To fulfil the thesis goal, a new regional coupled atmosphere-ocean-ice system was developed for these two seas, named COSMO-CLM/NEMO. The two-way coupling system involves active feedback from both component models: the limited-area climate model COSMO-CLM and the regional ocean model NEMO-NORDIC.
The coupled system COSMO-CLM/NEMO for the North and Baltic Seas was used to study the impact of sea surface temperature and sea ice on the atmosphere on diffrent topics. The long term impact of the North and Baltic Seas was studied through 15- year long simulations driven by European Center for Medium-Range Weather Forecasts (ECMWF) Interim reanalysis (ERA-Interim) data. Furthermore, to see whether the marginal sea modelling can advance the simulation of extreme climate events, the coupled model was used to reproduce six extreme snowband phenomena over the Baltic Sea in simulations driven by ERA-interim data. Last but not least, the role of the North and Baltic Sea model in improving long-term regional climate prediction was examined. Two sets of experiments with coupled and uncoupled models, each set has five independent decadal hindcasts forced by global climate model, were carried out.
All results were compared with observations and the stand-alone atmospheric model COSMO-CLM results. In all experiments, COSMO-CLM/NEMO showed good agreement with observations. Improvements compared with the uncoupled COSMO-CLM were also found. Coupling was found to affect the air temperature not only around the coupled sea region but also inland. The convective snowbands over the Baltic Sea were successfully reproduced by the coupled model. The high contrast of temperature in the air column, as well as considerably high amounts of surface heat fluxes exchanged between air and sea could not be simulated by COSMO-CLM without the help of reanalysis data. The coupled model also provided better forecasts in decadal scales compared with the uncoupled model and the global model. The added predictability came from the initialized regional seas and better simulated sea surface temperatures by the ocean model.
The impact of the North and Baltic Seas on the climate of the surrounding regions is in certain phases dominated by the North Atlantic Oscillation (NAO) activity. In this thesis, the relation between the NAO and the marginal sea influences was studied. It is confirmed by this study that, in strong phases, the NAO can overpower the impact of the local seas. During dominant phases of NAO, the European climate is mainly governed by large-scale circulation. On the other hand, the local seas play an important role in determining the European climate when NAO is in weak phases.
The added value of the coupled model raises promising perspectives for research in this field. It points to a potential benefit of using the coupled atmosphere-ocean-ice system for climate prediction in the region surrounding the North and Baltic Seas. Along with that, it is still a challenge to complete the model representation of the climate system by adding more climate components (such as a hydrological model). Further improvement of the coupled system can be achieved by coupling for a larger sea region, or by trying to reduce remaining low performance of the coupled model in some areas with a better configuration of the current system.
By the latter half of the twentieth century, a documented, substantial quantitative increase had occurred in the total number of Christian political organizations operating in Washington, D.C. with the sole purpose of influencing Congress and the administration through direct lobbying. This study seeks to understand what were the contributing historical factors that influenced the rise of Christian Lobby Organizations (CLOs), resulting in their normalization in American society?
The purpose of this thesis is to examine the passage regime of the Turkish Straits against the background of the evolution of international law, and to discuss the problems of the passage of warships through them in light of the invasion of the Crimean Peninsula by Russia in 2014. With that objective in mind, the thesis reconsiders the history of the straits regime.
The Turkish Straits are regulated by the Montreux Convention of 1936 which contains restrictive and complex provisions regarding the passage of warships. The Straits took their place as “the Straits question” for centuries and today their importance is enhanced by their geostrategic location in the international arena. They have gained greater significance especially since the resolution of Soviet Russia in 1991, as they have become one of the most important and busiest energy corridors of the world. Due to the increase in the transportation of oil, natural gas and other products from the Caspian region through the Straits, the dense traffic and the regulation of the traffic in the Straits has become a key issue between Turkey and user states. Furthermore, the implementation of restrictive provisions for warships caused many debates during the Second World War, the impact of the restrictive provisions of the Convention on the South Ossetia War in August 2008, and the invasion of the Crimean Peninsula in 2014 attracted additional international attention. The Straits took their place on the global agenda of the great powers, especially those of NATO, the United States (US) and Russia. These events have resulted in ongoing and intensive discussions over the revision of the Convention.
Although no legal amendment or modification demand to the Montreux Convention has yet arisen, the new order and geopolitical interests in the Black Sea region show that the Montreux passage regime will continue to be debated by the world’s powers under any given political circumstances. For the time being, however, there will be no alternative route with a view at an adaptation to contemporary needs but methods of treaty modification below the threshold of formal revision as, most importantly, the integration of subsequent practice and subsequent agreement into treaty interpretation.
Cenozoic lignite deposits are widespread across Europe, Asia, America, Australia, and Indonesia. These deposits were the subject of numerous studies on changes in regional/global paleoclimates, paleobotany, paleoenvironment, and basin evolutions, which led to the formation of these lignites. In some of these Cenozoic lignite deposit basins, a succession of pale and dark lignite layers has been described in the Miocene Lower Rhine Basin in Germany, the Oligo-Miocene Gippsland Basin in southeastern Australia, and several Mio-Pliocene basins in southwestern China. Furthermore, pale and dark lithotypes in lignite seams also have been found in some Pliocene lignite deposit basins from Slovenia, Serbia, and Poland. The widespread cyclic occurrence of pale and dark layers in lignite basins might represent alternating depositional conditions related to the changes in plant communities, the regional/global climate, the tectonic setting, the Asian monsoon, and orbital periodicity during peat formation. ...