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The book deals with a comprehensive constellation of narrative and visual, often counterposed representations of the causes, course, and results of the assault on the Palace of Justice of Colombia by a guerrilla commando and the immediate counterattack launched by state security forces on November 6, 1985, as well as with the local memorial traditions in which the production, circulation and reproduction of these representations have taken place between 1985 and 2020. The research on which it is based was grounded in the method and perspective of classical anthropology, in as much as qualitative fieldwork and the search for the perspective of the actors involved have played a central role. Within that context, memory entrepreneurs belonging to diverse sectors, from the far-right to the human rights movement, were followed through multisited fieldwork in various locations of Colombia, as well as in various countries of America and Europe. The analyses of fieldwork data, documental sources, and visual representations that constitute the core of the argument are framed in the field of memory studies and mainly based on theoretical and methodological resources from Pierre Bourdieu’s Field Theory, Jeffrey Alexander’s theory of social trauma, and Ernst Gombrich’s characterization of iconological analysis.
The book is composed of four chapters preceded by an introduction and followed by the conclusions and documental appendices, and substantiates three main theses. The first is that the Palace of Justice events were a radio- and television-broadcasted dispersed tragedy that affected the lives of actors from different social sectors and regions of Colombia, who have launched since 1985 multiple memorial initiatives in different fields of culture, thereby contributing to the formation and intergenerational transmission of a widespread cultural trauma. The second is that the narrative and visual representations at the core of that trauma express a vast universe of local representational traditions that can be traced at least until the early 20th century, and therefore preexists the so-called Colombian “memory boom”, dated to the mid-1990s. As an example of the preexistence and longstanding impact of these traditions, the local usage of the figure of “holocaust” for representing the effects of politically motivated violence is analyzed regarding the Palace of Justice events, but also traced to other representations emerged in the decade of 1920. The third thesis is that analyzing the diverse, frequently counterposed accounts of political violence elaborated within these traditions provides an opportunity to explore a wide variety of understandings of the causes and characteristics of the longstanding Colombian social and armed conflict.
Keywords: Political violence, Cultural trauma, Collective Memory, Iconology, Holocaust, Colombia.
Ob Klimawandel oder Luftverschmutzung: Die chemischen und physikalischen Prozesse in der Atmosphäre haben wichtige Auswirkungen auf die menschliche Gesundheit und Ökosysteme. Dabei ist die Atmosphäre mehr als ein Gemisch aus Stickstoff, Sauerstoff, Wasserdampf, Helium und Kohlenstoffdioxid. Es gibt zahlreiche Spurengase, deren Gesamtanteil am Volumen weniger als 1 % ausmacht. In dieser Arbeit werden Stickstoffoxide, Schwefeldioxid, Kohlenstoffmonoxid und Schwefelsäure näher betrachtet, die im Rahmen der flugzeugbasierten Messkampagne Chemistry of the Atmosphere: field experiment in Europe (CAFE-EU)/BLUESKY gemessen wurden.
Die Stickstoffoxide NO und NO2, als NOx zusammengefasst, besitzen hauptsächlich anthropogene Quellen, allen voran fossile Verbrennung und industrielle Prozesse. Zwischen NO und NO2 besteht ein photochemisches Gleichgewicht, sodass in der Atmosphäre vor allem NO2 in relevanten Konzentrationen vorkommt; dies wirkt aufgrund der Bildung von Salpetersäure, HNO3, in wässriger Lösung beim Einatmen ätzend und ist entsprechend gesundheitsschädlich. Troposphärisches Ozon, O3, wesentlicher Bestandteil von Sommersmog, wird hauptsächlich durch die Reaktion von NO mit Peroxiden (HO2 und RO2) gebildet. In der Stratosphäre entstehen NOx hauptsächlich durch die Photodissoziation von Lachgas, N2O, das aufgrund seiner langen Lebenszeit von der Tropo- in die Stratosphäre transportiert werden kann und dort die wichtigste Stickstoffquelle darstellt. In der Stratosphäre tragen NOx zum katalytischen Abbaumechanismus des Ozons bei (Bliefert, 2002; Seinfeld and Pandis, 2016).
Schwefeldioxid, SO2, ist ein toxisches Gas, dessen atmosphärische Quellen hauptsächlich anthropogen sind, nämlich fossile Verbrennung und industrielle Prozesse; Senken sind trockene und feuchte Deposition, wobei letztere zu saurem Regen führen kann. Seit den 1980ern sinken die globalen SO2-Emissionen. SO2 kann in der Atmosphäre zu Sulfat und Schwefelsäure oxidiert werden, was Hauptbestandteil des Wintersmogs ist. Der wichtigste Mechanismus ist die Oxidation mit dem Hydroxylradikal, OH˙, unter Beteiligung von Wasserdampf. In der Stratosphäre ist Carbonylsulfid, OCS, die wichtigste Schwefelquelle, da es analog zum N2O dank seiner langen Lebenszeit von der Tropo- in die Stratosphäre transportiert werden kann (Bliefert, 2002; Seinfeld und Pandis, 2016). Typische Konzentrationen von Schwefelsäure sind 105 cm–3 nachts und 107 cm–3 tagsüber in der Troposphäre sowie 105 cm–3 tagsüber in der Stratosphäre (Clarke et al., 1999; Weber et al., 1999; Fiedler et al., 2005; Arnold, 2008; Kürten et al., 2016; Berresheim et al., 2000).
Kohlenstoffmonoxid, CO, ist ein toxisches Gas, das zu gleichen Teilen durch direkte Emissionen (v.a. Biomasseverbrennung und fossile Verbrennung) und In-situ-Oxidation (v.a. von Methan, Isopren und industriellen Kohlenwasserstoffen) in die Atmosphäre gelangt. Die Hauptsenke ist die Reaktion mit OH˙ in der Troposphäre. Seit 2000 sinkt die globale CO-Konzentration (Bliefert, 2002).
Doch neben Gasen sind auch Aerosolpartikel fester Bestandteil des Gemisches Luft, welche luftgetragene feste oder flüssige Teilchen sind. Primäre Aerosolpartikel werden direkt als solche in die Atmosphäre emittiert, während sekundäre Aerosolpartikel in der Atmosphäre gebildet werden, indem gasförmige Vorläufersubstanzen mit geringer Flüchtigkeit auf primären Partikeln kondensieren oder durch Zusammenclustern und Anwachsen komplett neue Partikel bilden. Aerosolpartikel ermöglichen als Wolkenkondensationskeime erst die Bildung von Wolken und wirken somit – neben ihrem direkten reflektierenden Effekt – durch Änderung der Wolkenbedeckung und -eigenschaften insgesamt kühlend aufs Klima und beeinflussen die lokalen und globalen Wasserkreisläufe. Doch sie haben auch negative Auswirkungen auf die menschliche Gesundheit und sind für eine Verkürzung der durchschnittlichen Lebensdauer in Regionen mit hohen Feinstaubbelastungen verantwortlich (Seinfeld und Pandis, 2016; Bellouin et al., 2020; World Health Organization, 2016).
Neben den bisher betrachteten neutralen, also ungeladenen Gasen und Partikeln sind Ionen in der Gasphase sowie geladene Partikel ebenfalls Bestandteil der Atmosphäre. Sie spielen bei vielen atmosphärischen Prozessen eine wichtige Rolle, wie etwa bei Gewittern, Radiowellenübertragung und ionen-induzierter Nukleation von Aerosolpartikeln. Die Hauptquellen für Ionisation in der Tropo- und Stratosphäre ist die galaktische kosmische Strahlung, die entgegen ihrem Namen hauptsächlich aus Protonen und α-Partikeln (primäre Partikel genannt) besteht und in der Erdatmosphäre durch Kollision mit Luftmolekülen Teilchenschauer von sekundären Partikeln (u.a. Myonen, Pionen und Neutrinos) hervorruft. Die primären und sekundären Partikel können die Luftmoleküle ionisieren unter Entstehung von N+, N2+, O+, O2+ und Elektronen. Sauerstoff reagiert rasch mit letzteren zu O– und O2–. Diese Kationen und Anionen reagieren weiter, bis Ionenclustern der Summenformeln (HNO3)n(H2O)mNO3– und H+(H2O)n(B)m gebildet werden, wobei B Basen wie Methanol, Aceton, Ammoniak oder Pyridin sind. Weitere Ionisationsquellen sind der Zerfall des Radioisotops 222Rn in Bodennähe und ionisierende Solarstrahlung oberhalb der Stratosphäre. Atmosphärische Ionen haben zwei wichtige Senken: die Wiedervereinigung, auch Rekombination genannt, bei der sich ein Kation und ein Anion gegenseitig neutralisieren sowie das Anhaften an Aerosolpartikeln. Letztere Senke ist vor allem in der Troposphäre aufgrund der relativ hohen Konzentration an Aerosolpartikeln relevant (Arnold, 2008; Viggiano und Arnold, 1995; Bazilevskaya et al., 2008; Hirsikko et al., 2011).
This work describes the development and characterization of two instruments and their data evaluation, which contributes to a better understanding of new particle formation and growth, as well as their interactions with clouds. Both instruments were characterized at the Cosmics Leaving Outdoor Droplets (CLOUD) experiment at the European Center for Nuclear Research (CERN).
Aortic valve (AV) and root replacement with composite graft and re-implantation of coronary arteries described first by Bentall and de Bono in 1968, is considered as a standard operation for treatment of different pathologies of the AV and aortic root. In centres where aortic valve and root repair techniques and Ross operation are well established, generally severely diseased patients remain indicated for this procedure. The aim of this study was to evaluate the early and long-term outcomes after Bentall-De Bono (BD) procedures in high-risk population with complex pathologies and multiple comorbidities.
Between 2005 and 2018, a total of 273 consecutive patients (median age 66 years; 23 % female) underwent AV and root replacement with composite-graft in so called button technique. We divided our population in the following groups: 1. acute type A aortic dissection group (ATAAD) (n = 48), 2. endocarditis group (n = 99) and 3. all other pathologies group (n = 126). The surgery has been per- formed emergent/urgent in 131 patients (49 %) and in 109 cases (40%) as a reoperation. Concomitant surgery was required in 97 patients (58%) and 167 pa- tients (61%) received a biological composite-graft.
Follow-up was completed in 96% (10 patients lost to follow-up) with a mean of 8.6 years (range 0.1-15.7 years), counting a total of 1450 patient-years. Thirty- day mortality was 17% (46 patients). The overall estimated survival in 5 and 10 years was 64% ± 3%) and 46% ±4 %). Group comparison showed a significant difference in favour of patient from the dissection group (p = 0.008). Implantation of a biological valve graft was associated with lower survival probability (p < 0.001). There was no significant difference in the freedom of reoperation rate between the groups. The same applies for freedom of postoperative endocarditis, thromboembolic events, and aortic prosthesis dysfunction. According to the uni- variate and multivariate logistic regression analysis primarily postoperative neu- rological dysfunction (OR 5.45), hypertension (OR 4.8) peripheral artery disease (OR 4.4), re-exploration for bleeding (OR 3.37) and postoperative renal replace- ment therapy (OR 3.09) were identified as leading predictors of mortality.
In conclusion, the BD operation can be performed with acceptable short- and long-term results in high-risk patients with complex aortic pathologies in a centre with well-established AV repair and Ross operation program.
As one of the most widespread infectious diseases in the world, it is currently estimated that approximately 296 million people globally are chronically infected with Hepatitis B virus (HBV), the consequences of HBV infection cause more than 620,000 deaths each year. Although safe and effective HBV vaccines have reduced the incidence of new HBV infections in most countries, there are still around 1.5 million new infections each year. HBV remains a major health problem because there is no large-scale effective vaccination strategy in many countries with a high burden of disease, many people with chronic HBV infection are not receiving effective and timely treatment, and a complete cure for chronic infection is still far from being achieved.
Since its discovery, HBV has been identified as an enveloped DNA virus with a diameter of 42 nm. For efficient egress from host cells, HBV is thought to acquire the viral envelope by budding into multivesicular bodies (MVBs) and escape from infected cells via the exosome release pathway. It is clear that HBV hijacks the host vesicle system to complete self-assembly and propagation by interacting with factors that mediate exosome formation. Consequently, the overlap with exosome biogenesis, using MVBs as the release platform, raises the possibility for the release of exosomal HBV particles. Currently, virus containing exosomal vesicles have been described for several viruses. In light of this, this study explored whether intact HBV-virions wrapped in exosomes are released by HBV-producing cells.
First, this study established a robust method for efficient separation of exosomes from HBV virions by a combination of differential ultracentrifugation and iodixanol density gradient centrifugation. Fractionation of the density gradient revealed that two populations of infectious viral particles can be separated from the culture fluids of HBV-producing cells. The population present in the low-density peak co-migrates with the exosome markers. Whereas the population that appeared in the high-density fractions was the classical HBV virions, which are rcDNA-containing nucleocapsids encapsulated by the HBV envelope.
Subsequently, the characterization of this low-density population was performed, namely the highly purified exosome fraction was systematically investigated. Relying on the detergent sensitivity of the exosome membrane and the outer envelope of the HBV virus, disruption of the exosome structure by treatment with limited detergent revealed the presence of HBsAg in the exosomes. At the same time, mild and limited NP-40 treatment of highly purified exosomes and a further combination of density gradient centrifugation resulted in the stepwise release of intact HBV virions and naked capsids from the exosomes generated by HBV-producing cells. This implies the presence of intact HBV particles encapsulated by the host membrane.
The presence of exosome-encapsulated HBV particles was consequently also verified by suppressing the morphogenesis of MVBs or exosomes. Impairment of MVB- or exosome-generation with small molecule inhibitors has significantly inhibited the release of host membrane-encapsulated HBV particles as well. Likewise, silencing of exosome-related proteins caused a diminution of exosome output, which compromised the budding efficiency of wrapped HBV.
Moreover, electron microscopy images of ultra-thin sections combined with immunogold staining visualized the hidden virus in the exosomal structure. Additionally, the presence of LHBs on the surface of exosomes derived from HBV-expressing cells was also observed.
As expected, these exosomal membrane-wrapped HBV particles can spread productive infection in differentiated HepaRG cells. In HBV-susceptible cells, as LHBs on the membrane surface, this type of exosomal HBV appeared to be uptaken in an NTCP receptor-dependent manner.
Taken together these data indicate that a fraction of intact HBV virions can be released as exosomes. This reveals a so far not described release pathway for HBV. Exosomes hijacked by HBV act as a transporter impacting the dissemination of the virus.
We discuss aspects of the phase structure of a three-dimensional effective lattice theory of Polyakov loops derived from QCD by strong coupling and hopping parameter expansions. The theory is valid for the thermodynamics of heavy quarks where it shows all qualitative features of nuclear physics emerging from QCD. In particular, the SU(3) pure gauge effective theory also exhibits a first-order thermal deconfinement transition due to spontaneous breaking of its global Z₃ center symmetry. The presence of heavy dynamical quarks breaks this symmetry explicitly and consequently, the transition weakens with decreasing quark mass until it disappears at a critical endpoint. At non-zero baryon density, the effective theory can be evaluated either analytically by the so-called high-temperature expansion which does not suffer from the sign problem, or numerically by standard Monte-Carlo methods due to its mild sign problem. The first part of this work devotes to a systematic derivation of the effective theory up to the 6th order in the hopping parameter κ. This method combined with the SU(3) link update algorithm provides a way to simulate the O(κ⁶) effective theory. The second part involves a study of the deconfinement transition of the pure gauge effective theory, with and without static quarks, at all chemical potentials with help of the high-temperature expansion. Our estimate of the deconfinement transition and its critical endpoint as a function of quark mass and all chemical potentials agrees well with recent Monte-Carlo simulations. In the third part, we investigate the N ſ ∈ {1,2} effective theory with zero chemical potential up to O(κ⁴). We determine the location of the critical hopping parameter at which the first-order deconfinement phase transition terminates and changes to a crossover. Our results for the critical endpoint of the O(κ²) effective theory are in excellent agreement with the determinations from simulations of four-dimensional QCD with a hopping expanded determinant by the WHOT-QCD collaboration. For the O(κ⁴) effective theory, our estimate suggests that the critical quark mass increases as the order of κ-contributions increases. We also compare with full lattice QCD with N ſ = 2 degenerate standard Wilson fermions and thus obtain a measure for the validity of both the strong coupling and the hopping expansion in this regime.
Atmospheric particles play an important role in the radiative balance of the Earth, as well as they affect human health and air quality. Hence, the chemical characterization constitutes a crucial task to determinate their properties, sources and fate. Particularly, the analysis of nanoparticles (d<100 nm) represents an analytical challenge, since these particles are abundant in number but have very little mass.
This accumulative thesis focuses on the chemical characterization of nanoparticles, performed in both laboratory and field studies. Here, I present four manuscripts, two of which are my main project as a lead author.
The first manuscript (Caudillo et al., 2021) focuses on the gas and the particle phase originated from biogenic precursor gases (α-pinene and isoprene). The experiments were performed in the CLOUD chamber at CERN to simulate pure biogenic new particle formation. Both gas and particle phases are measured with a nitrate CI-APi-TOF mass spectrometer, while the TD-DMA is coupled to it for particle-phase measurements, this setup allows a direct comparison as both measurements use the identical chemical ionization and detector. This study demonstrates the suitability of the TD-DMA for measuring newly formed nanoparticles and it confirms that isoprene suppresses new particle formation but contributes to the growth of newly formed particles.
The second manuscript (Caudillo et al., 2022) presents an intercomparison of four different techniques (including the TD-DMA) for measuring the chemical composition of SOA nanoparticles. The measurements were conducted in the CLOUD chamber. The intercomparison was done by contrasting the observed chemical composition, the calculated volatility, and the thermal desorption behavior (for the thermal desorption techniques). The methods generally agreed on the most important compounds that are found in the nanoparticles. However, they did see different parts of the organic spectrum. Potential explanations for these differences are suggested.
The third manuscript (Ungeheuer al., 2022) presents both laboratory and ambient measurements to investigate the ability of lubricant oil to form new particles. These new particles are an important source of ultrafine particles in the areas nearby large airports. The ambient measurements were performed downwind of Frankfurt International Airport, and it was found that the fraction of lubricant oil is largest in the smallest particles. In the laboratory, the main finding was that evaporated lubricant oil nucleates and forms new particles rapidly. The results suggest that nucleation of lubricant oil and subsequent particle growth can occur in the cooling exhaust plumes of aircraft-turbofans.
The fourth manuscript (Wang et al., 2022) is a new particle formation study in the CLOUD chamber at CERN. This study shows that nitric acid, sulfuric acid, and ammonia interact synergistically and rapidly form particles under upper free tropospheric conditions. These particles can grow by condensation (driven by the availability of ammonia) up to CCN sizes and INP particles. The ability of these particles to act as a CCN and INP was also investigated and it was found to be as efficient as for desert dust. This mechanism constitutes an important finding and it can account for previous observations of high concentrations of ammonia and ammonium nitrate over the Asia monsoon region.
Recent advances in artificial neural networks enabled the quick development of new learning algorithms, which, among other things, pave the way to novel robotic applications. Traditionally, robots are programmed by human experts so as to accomplish pre-defined tasks. Such robots must operate in a controlled environment to guarantee repeatability, are designed to solve one unique task and require costly hours of development. In developmental robotics, researchers try to artificially imitate the way living beings acquire their behavior by learning. Learning algorithms are key to conceive versatile and robust robots that can adapt to their environment and solve multiple tasks efficiently. In particular, Reinforcement Learning (RL) studies the acquisition of skills through teaching via rewards. In this thesis, we will introduce RL and present recent advances in RL applied to robotics. We will review Intrinsically Motivated (IM) learning, a special form of RL, and we will apply in particular the Active Efficient Coding (AEC) principle to the learning of active vision. We also propose an overview of Hierarchical Reinforcement Learning (HRL), an other special form of RL, and apply its principle to a robotic manipulation task.
This work characterizes the post-PKS modifications of AQ-256. Additionally, the second part describes the establishment of an AQ production platform for electrolyte generation that can be utilized in redox-flow-batteries. Lastly, a silent BGC that encodes the genes for terpenoid biosynthesis was described and characterized with regards to product formation and putative ecological function.
The expansion of actors and instruments in sovereign debt markets through bond financing generated a coordination problem among bondholders during the debt restructuring process. There is a risk that an individual bondholder will be passive or act against the restructuring slowing down or even precluding the process of restructuring even though it is in the general interest of bondholders as a group, not to mention the population of the country experiencing the shortage of funds for public welfare. In particular, the disruptions to sovereign debt restructuring by frivolous litigation is considered as one of the main threats.
This dissertation is the first major study devoted to sovereign bonds structured through a trust arrangement and the promising features that such a legal structure possesses for an effective and efficient sovereign debt restructuring. It provides a comprehensive inquiry into the evolution of the mechanisms to coordinate creditors, with a focus on bondholders and institutional frameworks which facilitated this coordination. It examines intriguing primary sources from League of Nations archives and provides in-depth case studies on the functionality of the trustees in sovereign bond restructurings performed by Argentina in 2016 and Ecuador in 2008.
Assessing the utility of trust arrangements to address coordination problems, this thesis is driven by the puzzle: How to better balance (i) the need for smooth sovereign debt restructurings, which by definition entails some losses for creditors, with (ii) bondholders’ legitimate interests? What approach can be used in constructing a legal and institutional framework for trustees to promote the best interest of the bondholders in sovereign debt restructuring? As a solution, it seems that incentives for bond trustees to pursue debt sustainability will achieve both goals.
In this regard, recognition of the concept of debt sustainability, being in substance the IMF and WB debt sustainability assessment, as the best interest of bondholders in sovereign debt restructuring is beneficial from multiple aspects. It enables a bond trustee to excel in its role as a guardian of bondholders by following the best interest of bondholders in exercising its discretion. Moreover, it fosters an equilibrium between the interests of private creditors and a state taking into account its socio-political aspects.
This thesis has two main parts.
The first part is based on our publication [1], where we use perturbation theory to calculate decay rates of magnons in the Kitaev-Heisenberg-Γ (KHΓ) model. This model describes the magnetic properties of the material α-RuCl 3 , which is a candidate for a Kitaev spin liquid. Our motivation is to validate a previous calculation from Ref. [2]. In this thesis, we map out the classical phase diagram of the KHΓ model. We use the Holstein-Primakoff
transformation and the 1/S expansion to describe the low temperature dynamics of the Kitaev-Heisenberg-Γ model in the experimentally relevant zigzag phase by spin waves. By parametrizing the spin waves in terms of hermitian fields, we find a special parameter region within the KHΓ model where the analytical expressions simplify. This enables us to construct the Bogoliubov transformation analytically. For a representative point in the special parameter region, we use these results to numerically calculate the magnon damping, which is to leading order caused by the decay of single magnons into two. We also calculate the dynamical structure factor of the magnons.
The second part of this thesis is based on our publication [3], where we use the functional renormalization group to analyze a discontinuous quantum phase transition towards a non-Fermi liquid phase in the Sachdev-Ye-Kitaev (SYK) model. In this thesis, we perform a disorder average over the random interactions in the SYK model. We argue that in the thermodynamic limit, the average renormalization group (RG) flow of the SYK model is identical to the RG flow of an effective disorder averaged model. Using the functional RG, we find a fixed point describing the discontinuous phase transition to the non-Fermi liquid phase at zero temperature. Surprisingly, we find a finite anomalous dimension of the fermions, which indicates critical fluctuations and is unusual for a discontinuous transition. We also determine the RG flow at zero temperature, and relate it to the phase diagram known from the literature.
The relevant field of interest in High Energy Physics experiments is shifting to searching and studying extremely rare particles and phenomena. The search for rare probes requires an increase in the number of available statistics by increasing the particle interaction rate. The structure of the events also becomes more complicated, the multiplicity of particles in each event increases, and a pileup appears. Due to technical limitations, such data flow becomes impossible to store fully on available storage devices. The solution to the problem is the correct triggering of events and real-time data processing.
In this work, the issue of accelerating and improving the algorithms for reconstruction of the charged particles' trajectories based on the Cellular Automaton in the STAR experiment is considered to implement them for track reconstruction in real-time within the High-Level Trigger. This is an important step in the preparation of the CBM experiment as part of the FAIR Phase-0 program. The study of online data processing methods in real conditions at similar interaction energies allows us to study this process and determine the possible weaknesses of the approach.
Two versions of the Cellular Automaton based track reconstruction are discussed, which are used, depending on the detecting systems' features. HFT~CA Track Finder, similar to the tracking algorithm of the CBM experiment, has been accelerated by several hundred times, using both algorithm optimization and data-level parallelism. TPC~CA Track Finder has been upgraded to improve the reconstruction quality while maintaining high calculation speed. The algorithm was tuned to work with the new iTPC geometry and provided an additional module for very low momentum track reconstruction.
The improved track reconstruction algorithm for the TPC detector in the STAR experiment was included in the HLT reconstruction chain and successfully tested in the express production for the online real data analysis. This made it possible to obtain important physical results during the experiment runtime without the full offline data processing. The tracker is also being prepared for integration into a standard offline data processing chain, after which it will become the basic track search algorithm in the STAR experiment.
This Ph. D. thesis with the title "Characterisation of laser-driven radiation beams: Gamma-ray dosimetry and Monte Carlo simulations of optimised target geometry for record-breaking efficiency of MeV gamma-sources" is dedicated to the study of the acceleration of electrons by intense sub-picosecond laser pulses propagating in a sub-millimeter plasma with near-critical electron density (NCD) and resulting generation of the gamma bremsstrahlung and positrons in the targets of different materials and thickness.
Laser-driven particle acceleration is an area of increasing scientific interest since the recent development of short pulse, high-intensity laser systems. The interaction of intense high-energy, short-pulse lasers with solid targets leads to the production of high-energy electrons in the relativistic laser intensity regime of more than 1018 W /cm2. These electrons play the leading role in the first stage of the interaction of laser with matter, which leads to the creation of laser sources of particles and radiation. Therefore, the optimisation of the electron beam parameters in the direction of increasing the effective temperature and beam charge, together with a slight divergence, plays a decisive role, especially for further detection and characterisation of laser-driven photon and positron beams.
In the context of this work, experiments were carried out at the PHELIX laser system (Petawatt High-Energy Laser for Heavy Ion eXperiments) at GSI Helmholtz Center for Heavy-Ion Research GmbH in Darmstadt, Germany. This thesis presents a thermoluminescence dosimetry (TLD) based method for the measurement of bremsstrahlung spectra in the energy range from 30 keV to 100 MeV. The results of the TLD measurements reinforced the observed tendency towards the strong increase of the mean electron energy and number of super-ponderomotive electrons. In the case of laser interaction with long-scale NCD-plasmas, the dose caused by the gamma-radiation measured in the direction of the laser pulse propagation showed a 1000-fold increase compared to the high contrast shots onto plane foils and doses measured perpendicular to the laser propagation direction for all used combinations of targets and laser parameters.
In this thesis I present novel characterisation method using a combination of TLD measurements and Monte Carlo FLUKA simulations applicable to laser-driven beams. The thermoluminescence detector-based spectrometry method for simultaneous detection of electrons and photons from relativistic laser-induced plasmas initially developed by Behrens et al. (Behrens et al., 2003) and further applied in experiments at PHELIX laser (Horst et al., 2015) delivered good spectral information from keV energies up to some MeV, but as it was presented in (Horst et al., 2015) this method was not really suitable to resolve the content of photon spectra above 10 MeV because of the dominant presence of electrons. Therefore, I created new evaluation method of the incident electron spectra from the readings of TLDs. For this purpose, by means of MatLab programming language an unfolding algorithm was written. It was based on a sequential enumeration of matching data series of the dose values measured by the dosimeters and calculated with of FLUKA-simulations. The significant advantage of this method is the ability to obtain the spectrum of incident electrons in the low energy range from 1 keV, which is very difficult to measure reliably using traditional electron spectrometers.
The results of the evaluation of the effective temperature of super-ponderomotive electrons retrieved from the measured TLD-doses by means of the Monte-Carlo simulations demonstrated, that application of low density polymer foam layers irradiated by the relativistic sub-ps laser pulse provided a strong increase of the electron effective temperature from 1.5 - 2 MeV in the case of the relativistic laser interaction with a metallic foil up to 13 MeV for the laser shots onto the pre-ionized foam and more than 10 times higher charge carried by relativistic electrons.
The progressive simulation method of whole electron spectra described with two -temperatures Maxwellian distribution function has been developed and the results of dose simulations were compared with the acquired experimental data. The advanced feature of this method, which distinguishes it from the results of the simulation of the photon spectrum using the interaction with the target of mono-energetic electron beams (Nilgün Demir, 2013; Nilgün Demir, 2019) or the initial electron spectrum expressed as a function of one electron temperature (Fiorini, 2012), is the ability to simulate the initial electron spectrum described by the Maxwellian distribution function with two temperatures.
The important objective of this thesis was dedicated to the study and characterisation of laser-driven photon beams. In addition to this, the positron beams were evaluated. The investigation of bremsstrahlung photons and positrons spectra from high Z targets by varying the target thickness from 10 µm to 4 mm in simulated models of the interactions of electron spectra with Maxwellian distribution functions allowed to define an optimal thickness when the fluences of photons and positrons are maximal. Furthermore based on the results of FLUKA simulations the gold material was found to be the most suitable for the future experiments as e − γ target because of its highest bremsstrahlung yield.
Additionally Monte Carlo simulations were performed applying the obtained electron beam parameters from the electron acceleration process in laser-plasma interactions simulated with particle-in-cell (PIC) code for two laser energies of 20 J and 200 J. The corresponding electron spectra were imported into a Monte Carlo code FLUKA to simulate the production process of bremsstrahlung photons and positrons in Au converter. FLUKA simulations showed the record conversion of efficiency in MeV gammas can reach 10%, which reinforces the generation of positrons. The obtained results demonstrate the advantages of long-scale plasmas of near critical density (NCD) to increase the parameters of MeV particles and photon beams generated in relativistic laser-plasma interaction. The efficiency of the laser-driven generation of MeV electrons and photons by application of low-density polymer foams is essentially enhanced.
Adhesion to host cells is the first and most crucial step in infections with pathogenic Gram negative bacteria and is often mediated by trimeric autotransporter adhesins (TAAs). TAA-producing bacteria are the causative agent of many human diseases and TAA targeted anti-adhesive compounds might counteract such bacterial infections. The modularly structured Bartonella adhesin A (BadA) is one of the best characterised TAAs and serves as an attractive adhesin to study the domain-function relationship of TAAs during infection. BadA is a major virulence factor of B. henselae and is essential for the initial attachment to host cells via adhesion to extracellular matrix proteins. B. henselae is the causative agent of cat scratch disease and adheres to fibronectin using its long BadA fibres. The life cycle of this pathogen, with alternating host conditions, drives evolutionary and host-specific adaptations.
Human, feline, and laboratory adapted B. henselae isolates display genomic and phenotypic differences. By analysing the genomes of eight B. henselae strains using long-read sequencing, a variable genomic badA island with a diversified and highly repetitive badA gene flanked by badA pseudogenes was identified. Moreover, numerous conserved flanking genes were characterised, however, their influence on the regulation of badA expression and modification remains to be explored. It seems that B. henselae G 5436 is the evolutionary ancestor of the other B. henselae strains analysed in this work. The diversity of the badA island among the B. henselae strains indicates that the downstream badA-like domain region might be used as a ‘toolbox’ for rearrangements in the badA gene. Overall, it is suggested that badA-domain duplications, insertions, and/or deletions are the result of active phase variation via site-specific recombination and contribute to rapid host adaptation in the scope of pathogenicity, immune evasion, and/or enhanced long-term colonisation.
The model strain B. henselae Marseille expresses a badA gene that includes 30 repetitive neck/stalk domains, each consisting of several predicted structural motifs. To further elucidate the motif sequences that mediate fibronectin binding, various modified badA constructs were generated. Their ability to bind fibronectin was assessed via whole-cell ELISA and fluorescence microscopy. In conclusion, it is suggested that BadA adheres to fibronectin in a cumulative fashion with quick saturation via unpaired β-strands appearing in structural motifs present in BadA neck/stalk domains 19, 27, and other homologous domains. Furthermore, antibodies targeting a 15-mer amino acid sequence in the DALL motif of BadA neck/stalk domain 27 were able to reduce fibronectin binding of the B. henselae mutant strain S27. Moreover, this DALL motif sequence is conserved in the genome of all analysed B. henselae strains. The identification of common binding motifs between BadA and fibronectin supports the development of new anti-adhesive compounds that might inhibit the initial adherence of B. henselae and other TAA-producing pathogens during infection.
Characteristics of critical incident reporting systems in primary care: an international survey
(2022)
Aim: The aim of the study was to support the development of future critical incident reporting systems (CIRS) in primary care by collecting information on existing systems. Our focus was on processes used to report and analyse incidents, as well as strategies used to overcome difficulties.
Methods: Based on literature from throughout the world, we identified existing CIRS in primary care. We developed a questionnaire and sent it to operators of a purposeful sample of 17 CIRS in primary care. We used cross-case analysis to compare the answers and pinpoint important similarities and differences in the CIRS in our sample.
Results: Ten CIRS operators filled out the questionnaire, and 9 systems met the inclusion criteria. The sample of CIRS came from 8 different countries and was rather heterogeneous. The reporting systems invited a broad range of professions to report, with some also including reports by patients. In most cases, reporting was voluntary and conducted via an online reporting form. Reports were analysed locally, centrally, or both. The various CIRS used interesting ideas to deal with barriers. Some, for example, used confidential reporting modes as a compromise between anonymity and the need for follow-up investigations, whereas others used smartphone applications and call centres to speed up the reporting process.
Conclusion: We found multiple CIRS that have operated in primary care for many years, have received a high number of reports and were largely developed in accordance with recommendations found in literature. Although primary care in Germany differs from other countries, these CIRS could serve as an inspiration for CIRS in German primary care.
Lipopolysaccharide (LPS) is a major glycolipid component in the outer leaflet of the outer membrane of Gram-negative bacteria and known as endotoxin exhibited by the lipid A moiety, which serves as a membrane anchor. The effective permeability barrier properties of the outer membrane contributed by the presence of LPS in the extracellular layer of the outer membrane confer Gram-negative bacteria a high resistance against hydrophobic compounds such as antibiotics, bile salts and detergents to survive in harsh environments. The biogenesis of LPS is well studied in Escherichia coli (herewith E. coli) and the LPS transport (Lpt) is carried out by a transenvelope complex composed of seven essential proteins (LptABCDEFG), which are located in the three compartments of the cell such as the outer membrane, the inner membrane and the periplasm. The Lpt system also exists in Anabaena sp. PCC 7120 (herewith Anabaena sp.), however, homologues of LptC and LptE are still missing. BLAST search failed to identify a homologue of LptC, in contrast, the secondary structure analysis using the Pfam database based on the existing ecLptC secondary structure identified one open reading frame All0231 as the putative Anabaena sp. homologue of LptC, which is designated anaLptC. Despite the low sequence similarity, the secondary structure alignment between anaLptC and ecLptC using the HHpred server showed that both proteins share high secondary structural similarities. The genotypic analysis of the insertion mutant anaLptC did not identify a fully segregated genome and its phenotypic analysis revealed that it was sensitive against chemicals, suggesting that the analptC gene is essential for the growth of Anabaena sp. and involved in the outer membrane biogenesis. This is further supported by the observation of the small cell phenotype in the anaLptC mutant via transmission electron microscopy. Moreover, physical interactions between the anaLptC periplasmic domain with anaLptA as well as with anaLptF were established, indicating that the anaLptC periplasmic domain is correctly folded and alone functional and that the transmembrane helix is not required for the interaction with anaLptA and anaLptF. Furthermore, the reduction of the O-antigen containing LPS was observed in the insertion mutant anaLptC and the dissociation constant Kd of the anaLptC periplasmic domain for ecLPS was determined.The three-dimensional structure of the periplasmic domain of anaLptC was solved by X-ray crystallography with a resolution of 2.8 Å. The structural superposition between the ecLptC crystal structure (PDB number 3my2) and the crystal structure of anaLptC periplasmic domain obtained by this study showed the similarity in the folding of the two proteins with a Cα r.m.s.d value of about 1 Å and confirmed that the length of anaLptC is more than two times longer than that of ecLptC. The structural comparison also revealed that both structures share the typical β-jellyroll fold and conserved amino acids, which were shown in ecLptC to bind to LPS in vivo and found in anaLptC. Overall, these data strongly suggest that anaLptC is involved in the transport of LPS and support the model whereby the bridge spanning the inner membrane and the outer membrane would be assembled via interactions of the structurally conserved β-jellyroll domains shared by five (LptACDFG) out of seven Lpt proteins.
Zika-virus (ZIKV), a flavivirus mainly transmitted by Aedes mosquitoes, is a single-stranded, positive-sense RNA virus. The viral genome is surrounded by a nucleocapsid and a lipid bilayer, in which membrane and envelope proteins are embedded. ZIKV disease is mainly characterized by mild symptoms, such as fever, rash as well as pain in head and joints. However, after epidemics it caused in the Americas in 2015/16, ZIKV infections were also associated with severe neurological complications like the Guillain-Barré syndrome (GBS) and microcephaly in fetuses and newborns. So far there are no specific antiviral treatments or vaccines available against ZIKV. This strengthens the need for a detailed understanding of the viral life cycle and virus-host interactions.
The antiviral host factor tetherin (THN) is an interferon-stimulated protein and therefore part of the cellular innate immune response. It comprises an N-terminal cytoplasmic domain, followed by a transmembrane helix, an extracellular coiled-coil domain and a C-terminal glycosylphosphatidylinositol (GPI) anchor. Containing two sites for membrane insertion linked by a flexible structure, THN is able to integrate into the membrane of budding viruses, thereby attaching them to each other and to the cell membrane and preventing their further release and spread.
In this study, the crosstalk of ZIKV and THN was analyzed. Previous gene expression analyses by microarray and quantitative polymerase chain reaction (qPCR) had revealed a strong upregulation of the BST2 gene encoding for THN in ZIKV-infected cells. However, this enhanced expression did not correlate with an enhanced THN protein level. On the contrary, the amount of THN in THN-overexpressing cells was after infection even heavily reduced. Furthermore, immunofluorescence analyses revealed a loss of THN membrane localization in these cells. By performing a cycloheximide assay, this loss could be traced back to a reduced protein half-life of THN in infected versus uninfected cells. Treatment with inhibitors of different protein degradation pathways as well as colocalization analyses with markers of several subcellular compartments indicated an involvement of the endo-lysosomal route. A knock-down of the ESCRT-0 protein HRS however prevented the sorting of THN for lysosomal degradation and led to a stabilization of THN protein levels. After HRS depletion, the release and spread of viral particles was reduced in THN-overexpressing compared to wildtype cells.
Taken together, the data obtained in this study revealed the potential of THN to restrict ZIKV release and spread. The enhanced degradation of THN in ZIKV-infected cells via the endo-lysosomal pathway could therefore be explained as an effective viral escape strategy. This could be circumvented by knockdown of the ESCRT-0 protein HRS, which highlighted HRS as a potential target for the development of antiviral treatments.
In this thesis, the flow coefficients vn of the orders n = 1 − 6 are studied for protons and light nuclei in Au+Au collisions at Ebeam = 1.23 AGeV, equivalent to a center-of-mass energy in the nucleon-nucleon system of √sNN = 2.4 GeV. The detailed multi-differential measurement is performed with the HADES experiment at SIS18/GSI. HADES, with its large acceptance, covering almost full azimuth angle, combined with its high mass-resolution and good particle-identification capability, is well equipped to study the azimuthal flow pattern not only for protons, deuterons, and tritons but also for charged pions, kaons, the φ-mesons, electrons/positrons, as well as light nuclei like helions and alphas. The high statistics of more than seven billion Au-Au collisions recorded in April/May 2012 with HADES enables for the first time the measurement of higher order flow coefficients up to the 6th harmonic. Since the Fourier coefficient of 7th and 8th order are beyond the statistical significance only an upper bound is given. The Au+Au collision system is the largest reaction system with the highest particle multiplicities, which was measured so far with HADES. A dedicated correction method for the flow measurement had to be developed to cope with the reconstruction in-efficiencies due to occupancies of the detector system. The systematical bias of the flow measurement is studied and several sources of uncertainties identified, which mainly arise from the quality selection criteria applied to the analyzed tracks, the correction procedure for reconstruction inefficiencies, the procedures for particle identification (PID) and the effects of an azimuthally non-uniform detector acceptance. The systematic point-to-point uncertainties are determined separately for each particle type (proton, deuteron and triton), the order of the flow harmonics vn, and the centrality class. Further, the validity of the results is inspected in the range of their evaluated systematic uncertainties with several consistency checks. In order to enable meaningful comparisons between experimental observations and predictions of theoretical models, the classification of events should be well defined and in sufficiently narrow intervals of impact parameter. Part of this work included the implementation of the procedure to determine the centrality and orientation of the reaction.
In the conclusion the experimental results are discussed, including various scaling properties of the flow harmonics. It is found that the ratio v4/v2 for protons and light nuclei (deuterons and tritons) at midrapidity for all centrality classes approaches values close to 0.5 at high transverse momenta, which was suggested to be indicative for an ideal hydrodynamic behaviour. A remarkable scaling is observed in the pt dependence of v2 (v4) at mid-rapidity of the three hydrogen isotopes, when dividing by their nuclear mass number A (A^2) and pt by A. This is consistent with naive expectations from nucleon coalescence, butraises the question whether this mass ordering can also be explained by a hydrodynamical-inspired approach, like the blast-wave model. The relation of v2 and v4 to the shape of the initial eccentricity of the collision system is studied. It is found that v2 is independent of centrality for all three particle species after dividing it by the averaged second order participant eccentricity v2/⟨ε2⟩. A similar scaling is shown for v4 after division by ⟨ε2⟩^2.
As part of two drilling campaigns of the International Continental Scientific Drilling Program (ICDP), several geophysical borehole measurements were carried out by the Leibniz Institute for Applied Geophysics (LIAG) in two lakes. The acquired data was used to answer stratigraphic and paleoclimatic research questions, including the establishment of robust age-depth models and the construction of continuous lithological profiles.
Lake Towuti is located on Sulawesi (Indonesia), within the "Indo-Pacific Warm Pool" (IPWP), a globally important region for atmospheric heat and moisture budgets. The lake exists for approximately one million years, but its exact age is uncertain. We present the first agedepth model for the approximately 100 m continuous sediment sequence from the central part of the lake. The basis for this model is the magnetic susceptibility measured in the borehole and a tephra layer with an age of about 797 ka at 72 m depth. Our age-depth model is inferred from cyclostratigraphic analysis of borehole data and covers a period from 903 ± 11 to 131 ± 67 ka. We suggest that orbital eccentricity and/or changes between global cold and warm periods are responsible for hydroclimatic changes in the IPWP, that these changes affect sedimentation processes in Lake Towuti, and that we can measure and observe this effect in the sediment properties today. Additionally, we created a continuous artificial lithological profile from a series of different borehole data using cluster analysis. This provides information from parts of the borehole where no sediment is available due to core loss.
Lake Ohrid is 1.36 million years old and is located on the Balkan Peninsula on the border between Albania and North Macedonia. The primary hole 'DEEP' in the central part of the lake has been the subject of several investigations, but information about sediments of the marginal locations 'Pestani' and 'Cerava' have not been published yet. In our study, we use natural gamma radiation (GR) measured in the borehole to generate an age-depth model for DEEP. This is performed using the correlation of GR to the global LR04 reference record of Lisiecki and Raymo (2005).
The age information is then transferred via prominent seismic marker horizons to the other two sites, Pestani and Cerava, where it provides the first age-control points for the construction of age-depth models from correlation of GR to LR04. The generated age-depth models are tested using cyclostratigraphic methods, but the limits of this approach are revealed. At DEEP, sedimentation rates (SR) from the cyclostratigraphic method and the correlative approach differ by 2.8 %, at Pestani this difference is 16.7 %, and at Cerava the quality of the data does not allow a reliable evaluation of SR using the cyclostratigraphic approach. We used cluster analysis to construct artificial lithological profiles at all three sites and integrated them into the respective age-depth models. This enables us to determine which sediment types were deposited at what time, and we recognize the change between warm and cold periods in the sediment properties at all three locations. The analyses in this study were all performed on borehole and seismic data and thus do not involve sediment core data. Especially at Pestani and Cerava, new insights into the sedimentological history of Lake Ohrid could be obtained.
In the last part we discuss the occurrence of the half-precession (HP) signal in the European region during the last one million years. The focus is on Lake Ohrid, but a range of other proxies, from the eastern Mediterranean, across the European continent, up to Greenland are analyzed in regards to HP. Applying filters, we focus on the frequency range with a period of 13-8.5 ka and only HP remains in the records. We use correlative methods to determine the clarity of the HP signal in proxies distributed across the European realm. Additionally, we determined the development of HP over time. The HP signal is clearest in the southeast and decreases toward the north. It is further more pronounced in interglacial periods and in the younger part (<621 ka) of most proxies. We suggest that there are mechanisms that transmit the HP signal from its origin near the equator to higher latitudes via different processes. In this context, for instance, the African monsoon, the Nile River and the Mediterranean outflow via the Strait of Gibraltar can be important factors.
G-protein-coupled receptors (GPCRs) comprise the largest transmembrane receptor family encoded in the human genome. GPCRs mediate the effect of a wide diversity of stimuli including light, odorants, ions, lipids, small peptides, and hormones. GPR182 is a GPCR for which no endogenous ligand has been identified yet. In the absence of an identified ligand, GPR182 remained poorly understood, and its biological functions had remained elusive. The presented work shows that GPR182 is highly and specifically expressed in microvascular endothelial cells. Phylogenetically, GPR182 is closely related to the atypical chemokine receptor 3 (ACKR3). Here, I show that GPR182 binds the chemokines CXCL10, -12 and -13. Similarly to other so-called atypical chemokine receptors, GPR182 is not coupled to G-proteins but is rather constitutively internalized following β-arrestin 2 recruitment. Consistent with potential scavenger functions, we detected increased concentration of the chemokines which bind the receptor in the plasma of Gpr182 deficient mice. Finally, we show that GPR182 plays an essential role in maintaining hematopoietic stem cells within the bone marrow niche. In summary, the data indicate that GPR182 is a novel member of the group of atypical chemokine receptors, which plays an important role in the chemokine/chemokine receptor network.
Pulsed dipolar (PD) EPR spectroscopy is an established and reliable tool for the investigation of biomolecules. In terms of long distance and orientation measurements, it is one of the leading methods and further fields of application are constantly being explored. The distances that can be detected with PD EPR also correspond to the range in which almost all important biomolecule interactions occur. In the transition from in vitro spectroscopy to in-cell spectroscopy, the power of PD EPR spectroscopy is particularly evident. It is non-invasive, more sensitive than NMR, and does not exhibit background signals from diamagnetic molecules. In particular, the absence of background signals is of great importance given the high density of molecules within cellular environment. However, like any other spectroscopic method, PD EPR has certain limitations. Owing to the intrinsically fast electron spin echo dephasing at higher temperature, these experiments are commonly carried out in frozen solutions at about 50 K. This temperature is far away from the physiological conditions and the freezing additives used, e.g. glycols, can further influence the structure. To enable measurements with and within living organisms, it is therefore necessary to ascend from the cold depths of the frozen state. At the same time, one has to adapt the spin tags for the desired application. Established nitroxides commonly used for EPR studies are typically susceptible to reduction. Thus, for studies under physiological conditions, e.g. in the cell, one has to fight against the reductive environment in the cell and somehow protect the spin labels. Initial published in-cell experiments within the research group and investigations of homogeneously distributed labeled double-stranded (ds) ‐DNA samples in solid matrices showed promising results and enabled pulsed measurement in the temperature range of 50‐ 295 K. It could also be demonstrated that spherical shielded nitroxides have a significantly longer life span in cellular environments than non-protected ones and first nuclear acids were measured in cell. Based on these results, we have gone further to overcome the standing limitations and developed the use of PD EPR spectroscopy. This work addresses these challenges with the overall goal of advancing the applications of PD EPR spectroscopy for studying biomolecules under physiological conditions.
We have focused on four different approaches. The results of these studies were published in various publications. They are presented and discussed together with further studies and put into the context of research conducted before and after the authors' publications.
In approach 1, we fought against the two main obstacles for using pulsed dipolar spectroscopy at ambient conditions – minimizing phase memory time T2 and averaging of the anisotropic dipolar coupling by rotational diffusion. We focused on an immobilization approach, while using rigid spin labels at same time. Besidesto the distance information, the incorporated rigid spin labels will give additional angular constrains and information about the molecular dynamics.
In approach 2, we focused on the on-site and on-demand formation of nitroxide spin labels using light-sensitive alkyl protection groups. This a very mild and efficient procedure that will hardly interfere with sensitive functional groups present in oligonucleotides or peptides. By establishing this method and using coumarin protecting groups plus two-photon excitation, this property may offer the potential to generate spin labels with very high levels of spatial and temporal resolution.
For approach 3, we used paramagnetic Gd3+ -ions as intrinsically stable labels, which are not reducible within a cellular environment. Easy to mix and bound to encodable lanthanide binding tags within the molecule Interleucin 1β, we were able to measure distances between two tags with PELDOR spectroscopy. We tested the extent to which this system is suitable for in-cell measurements.
Finally, we focus on methods for easier labeling by using non-covalentlabeling techniques. One of these is the novel nitroxide G´ for site-directed spin labeling of nucleic acids, especially for RNA. This spin label is sterically hindered, easy to build and binding occurs in seconds by simply mixing the spin label with the target. For large RNAs, another easy-to-mix and noncovalent spin-labeling strategy will be experimentally accompanied and presented.
The approaches and results described here are intended to demonstrate that the study of the biological functions of biomolecules under physiological conditions by pulsed EPR spectroscopy is feasible and operational. In combination, they will enable the life sciences to make further and faster progress in the search for the molecular master plan.
The development of the designs of the superconducting CH cavities of the HELIAC project from CH0 [27] to CH1 and CH2 [1] has undergone permanent improvements and adaptations based on the learned experiences of each previous cavity. For example, the design of CH1 and CH2 focused on mechanical stabilization and optimization of performance by minimizing peak electric and magnetic fields. As a result, the changes made there were already able to increase stability and performance compared to CH0 by simplifying the design in different ways. The process of designing both cavities was time reasonable, since they are identical in construction and thus only one design had to be developed. However, for both the development and manufacturing of an entire accelerator of individual CH cavities, this type of design would become too time consuming and costly. In order to reduce this time-consuming design process and accelerate the fabrication of superconducting CH cavities, and also reduce costs, a modular cavity design for mass production of superconducting CH cavities was developed as presented in this thesis. In the following section, the conclusions gained in this work and the results already presented will be summarized once again.
So in the first chapters of this thesis the theoretical foundations were laid, which are necessary for the description of superconducting cavities and for their development process, like a theoretical description of superconductivity itself (see chapter 2), the physical basics of RF-acceleration and of the CH cavity (see chapter 3), but also the effects that limit the superconducting cavities in terms of acceleration (see chapter 4) or the properties and laws from structural mechanics needed in later measurements and simulation (see chapter 5). Based on the theoretical foundations given in these sections, all measurements, evaluations and simulations made in the following sections were made.
This cumulative thesis discusses the development of optimized force field parameters for Magnesium and resulting improved simulations of Magnesium-RNA interactions, including the in silico exploration of binding sites. This thesis is based on four publications as well as unpublished data. A fifth publication that was written during the time of the Ph.D. is discussed in the Appendix. This publication analyzes monovalent ion-specific effects at mica surfaces.
Nucleic acids in general and RNA in particular are fundamental to life itself. Especially in the folding and function of RNA, metal cations are crucial to screen the negatively charged nucleic acid backbones to allow for complex functional structures. They stabilize the tertiary structure of RNA and even drive its folding. Furthermore, similarly to proteins, RNAs can catalyze multiple reactions, rather than consisting of the 20 amino acids of a protein, RNA constitues of only four different building blocks. Metal cations play an important role here as additional cofactors. One essential ion is Magnesium (Mg2+), commonly referred to as the most important cofactor for nucleic acids. Mg2+ carries two positive charges. Its comparably small size and high charge result in a high charge density that has strong polarizing effects on its surroundings. Furthermore, Mg2+ forms a sharply defined first hydration shell with an integer number of coordinating water molecules. As a result, an exclusion zone exists around the ion within which no water molecules are observed. Moreover, Mg2+ displays a high solvation free energy and a low exchange rate of waters from its first hydration shell. Finally, it contains a strong preference towards oxygens . Together, this makes Mg2+ a particularly well suited interaction partner for the charged non-bridging phosphate oxygens on nucleic acid backbones and explains its crucial biological role.
The immense number of physiological and technological functions and applications indicates the significant scientific attention Mg2+ received. In experimental studies, however, severe difficulties arise for multiple reasons: Mg2+ is spectroscopically silent and cannot be detected directly by resonance techniques like NMR or EPR. Indirect observation is possible, either by detecting changes in the overall RNA structure with and without bound Mg2+, or by replacing the Mg2+ ion with another spectroscopically visible ion. In the latter, however, it cannot be guaranteed that the altered ion does not also alter the interaction site or even the whole structure. Another detection method is X-ray crystallography, but here challenges arise from Mg2+ being almost indistinguish- able from other ions as well as from water if not for very high resolutions and precise stereochemical considerations.
Alternatively, molecular dynamics (MD) simulations can be performed, with the power of adding atomistic insight to the interplay of metal cations and nucleic acids. MD simulations, however, are only as accurate as their underlying interaction models and the development of accurate models for the description of Mg2+ faces challenges especially in describing three properties:
(i) Polarizability. Commonly used simple models like the 12-6 type Lennard-Jones model typically fail to reproduce simultaneously thermodynamic and structural properties of a single ion in water. Alternative strategies include the use of a 12-6-4 type Lennard-Jones potential as proposed by Li and Merz, where the additional r−4 term explicitly accounts for polarization effects. The resulting Lennard-Jones potential is thereby more attractive and more long-ranged than for typical models of the 12-6 type.
(ii) Kinetics. Most Mg2+ models either fully ignore considerations about the timescales on which water exchanges from the first hydration shell of the ion or use inappropriate methodology to calculate the underlying kinetics. A realistic characterization of the involved timescales is imperative to be able to describe a seemingly simple process like the transition from inner-to-outer sphere binding and vice versa. This transition governs most biochemical reactions involving Mg2+ and therefore subsequent processes can only by as fast as the transition itself. However, already the previous step – the exchange of a water from the first hydration shell of the ion – is described my current Mg2+ models up to four orders of magnitude too slowly, which makes the observation of such events on the timescale of a typical simulation difficult or even impossible. Alln ́er et al. [48] as well as Lemkul and MacKerell explicitly considered the exchange rate into their parameter optimization procedure. To compute the rate, both studies applied Transition State Theory along a single reaction coordinate – the distance towards one of the exchanging waters. However, it could be shown that the water exchange from the first hydration shell requires at least the consideration of both exchanging water molecules in order to be able to realistically record the underlying rate using Transition State Theory. Furthermore, the model of Alln ́er et al. significantly underestimates the free energy of solvation of the ion.
(iii) Interactions between Mg2+ and nucleic acids. Typically, ionic force field parame- terization concentrates on the optimization of solution properties. The trans- ferability of these solution optimized parameters towards interactions with biomolecules, however, often fails.
Diseases such as cardiac arrhythmias, CPVT and other issues of the human heart still remain largely unexplored. To contribute to this field of research, it is necessary to create tools to control the spatial and temporal release and reuptake of Ca2+ from the sarcoplasmic/endoplasmic reticulum (SR/ER). Ca2+ release and uptake by the ryanodine receptor (RyR) and Sarcoplasmic/endoplasmic reticulum calcium ATPase (SERCA), respectively, are essential for the function of excitable cells. In this process, the rapid Ca2+ release from the SR/ER and the associated contraction in muscle cells is modulated by RyR. However, diseases due to calcium leakage, such as cardiac arrhythmias, seizures and contractile dysfunction, are also caused by RyR. The resting Ca2+ concentration in the cytosol, which is important for the cell, is kept in balance by Ca2+ release and reuptake into the SR/ER. This reuptake is controlled quite considerably by SERCA. SERCA is important for development and muscle function in both nematodes such as C. elegans and mammals, though there is also a great need for tools that can help study precise function.
To advance towards the goal of developing tools for optogenetic stimulation of intracellular Ca2+ release from the SR/ER, the model organism C. elegans was chosen. Its advantages are the fully sequenced genome and the neural network connectome. In addition, the ease of maintenance, self-fertilisation, transparency and rapid generation cycles, as well as the fact that it is a eutelic animal, are advantages for the application of the optogenetic approach.
So far, tools for light-induced Ca2+ release (LICR) have already been developed, involving the creation of ChR2 versions with higher Ca2+ conductivity based on the "CatCh" variant and further improving their conductivity through several established mutations. In addition, the pharynx of C. elegans was modified to produce an optogenetically stimulated muscle pump that resembles mammalian cardiac muscle cells. In this work, both optoUNC-68 (optically excitable RyR) and SERCA/LOV2 were generated in different variants by CRISPR/Cas9 and plasmid-based genome editing to achieve light-driven manipulation of calcium homeostasis in C. elegans. Here, LICR was triggered by LOV2 domains in an opto-mechanical manipulation of RyR as well as SERCA. This approach was made possible by recently published high-resolution cryoEM structural images. In addition, alternative approaches using Ca2+ conductance-optimised channelrhodopsin variants were tested in C. elegans body wall muscle cells.
By inserting ChR-XXM into C. elegans and subsequent fluorescence microscopy of the co-introduced GFP, an expression in body wall muscle cells could be detected. Furthermore, in contraction assays, ChR-XXM was demonstrated to induce contractions of the animals of up to 16% compared to the original body length in both medium (0.8mW/mm²) and high (1.4mW/mm²) stimulation at 470nm. ChR-XXM was thus identified as an excellent candidate for the development of an optogenetic tool, as it exhibits significantly increased Ca2+ conductivity compared to other ChR2 variants.
The use of CRISPR/Cas9 to insert AsLOV2 domains (L404-L546) into different insertion sites of RyR allowed the generation of a transgenic strain of C. elegans that could be stimulated to elongate during 0.3mW/mm² photostimulation. This demonstrated that RyR can be manipulated by photostimulation, spatiotemporally through conformational changes in the LOV2 domain and the resulting disruption of the pore region.
The CRISPR/Cas9 method was also used to insert LOV2 domains into SERCA. Here it could be demonstrated that a conformational change of the LOV2 domains induced by photostimulation leads to a stop or impairment of Ca2+ ion translocation by SERCA from the cytosol into the SR/ER. In contrast to LOV2 in RyR, this resulted in a contraction of C. elegans body length.
The data presented here indicate that the intracellular Ca2+ cycle involving the SR/ER and cytosol can be successfully manipulated by the introduction of optogenetic tools. It turned out that the manipulation/impairment of individual components of this system, such as RyR or SERCA, is usually insufficient to achieve a clear response. Therefore, simultaneous manipulation of the two main actors RyR and SERCA is arguably the best way to take another step towards creating optogenetic tools for light-stimulated manipulation of Ca2+ release and reuptake from the SR/ER.
Chapter I of this work addressed the piggyBac (PB) transposon system, a non-viral genome engineering tool that is capable of efficiently performing stable integration of DNA sequences into a target cells genome and has already been used in clinical trials. However, the PB transposase has the problematic property of preferentially integrating transposons near transcriptional start sites (TSSs). This increases the likelihood of causing genotoxic effects, limiting its potential use as a tool in clinical applications. It has been shown in the past that the PB transposase shows physical interactions with BET proteins (e.g. BRD4) through Co-IP experiments. Representatives of these proteins are part of the transcriptional activation complex and are abundant at TSSs. Accordingly, it was previously proposed that this interaction is the underlying cause for the biased integration preference. For the first chapter of this thesis, the goal was to disrupt this interaction potentially modifying said integration preference. A secondary structure hypothesized to be mainly responsible for said interaction was extensively mutated resulting in several PB variants that were analyzed for their interaction capacity through a series of Co-IP experiments with BRD4. In total, seven substitutions were identified (E380F, V390K, T392Y, M394R, K407C, K407Q, and K407V) which exhibited reduced interaction capacity with BRD4. Each of the aforementioned mutants were used to generate integration libraries and, through NGS, it was determined if the integration preferences of the respective mutants had changed. In the immediate range 200 base pairs up- and downstream from known TSSs all mutants used exhibited a reduced integration bias. At a wider observation window 3 kbp up- and downstream from TSSs, further mutants with the substitutions M394R, T392Y and V390K showed a reduction in integration frequency of 17.3%, 1.5% and 5.4%, respectively, compared to the wildtype. Of particular note was the M394R mutant, which showed a reduction in all window sizes analyzed with a maximum of 65% less integration preference in the immediate vicinity of TSSs, theoretically generating a safety advantage over the wildtype transposase.
Chapter II was dedicated to the overall safety improvement for transposon-based gene modification and addresses the time point after the transgene has already been integrated and serious side effects may not be preventable. With this in mind, the aim was to develop a novel suicide-switch that can be stably introduced into cells via transposition, and reliably leads to cell death of the modified cells once activated. A system based on CRISPR/Cas9 was developed, where single guide RNAs were used to guide the Cas9 nuclease to Alu elements. These are short, repetitive sequences, which are distributed over the human genome in more than one million copies. Inducing double strand breaks within these elements would lead to genomic fragmentation and cell death. To be inducible, a transcriptional as well as post- translational control mechanism was added. Transcription of the Cas9 nuclease was regulated using a tet-on system, making expression dependent on doxycycline (DOX) supplementation. Furthermore, a version of the Cas9 nuclease called arC9 was used that allows double strand break generation only in the presence of 4-Hydroxytamoxifen (4-HT). Together with an expression cassette for the Alu-specific guide RNA and an expression cassette for the reverse tetracycline controlled transactivator all components were arranged between transposase-specific recognition sequences on a plasmid to allow transposon-system based gene transfer. The system was tested in HeLa cells. First, conditional expression of the arC9 nuclease was confirmed by addition of 1 μg/ml DOX. Second, the suicide-switch was further induced by adding 200 nM 4-HT and protein extracts were assayed for the KAP1 phosphorylation. Only upon induction with DOX and 4-HT phosphorylated KAP1 was detected, indicating DNA damage. Further, extensive growth and survival experiments were conducted to determine the effect of suicide-switch induction on cell proliferation and survival. Between 24 and 48 hours after induction, a halt in cell division was detected, after which extensive cell death was observed. Within 5 days post induction, >99% of all cells were eliminated. In the absence of both inducers, no significant differences in survival were observed compared to control cells line lacking Alu-specific guide RNAs. Microscopic examinations of the <1% surviving cell fraction revealed a senescence-associated phenotype and showed no signs of resumption of the cell division process. Accordingly, the second chapter of this thesis also achieved its goal in developing a functional suicide-switch that can be inserted into human cells via transposition, is highly dependent on the necessary induction signals, and exhibits excellent elimination capabilities in the context tested.
While B-cell acute lymphoblastic leukaemia (B-ALL) can be described as the leukaemia of childhood, chronic myeloid leukaemia (CML) mostly develops in elderly individuals. Understanding and utilising mechanisms involved in the development and persistence of these leukaemias as possible targets for treatment strategies has received particular interest. Processes that happen in the vicinity of the cancerous cells themselves could influence cancer growth and behaviour and hence can serve as novel targets, leading to the development of two-pronged therapies that act both on leukaemic cells directly as well as their niche. The niche in the case of leukaemia is the bone marrow microenvironment (BMM) where these cells are not only generated but also instructed and protected. As the BMM is situated inside bones that undergo drastic changes and growth processes during the ageing process, the BMM itself is also being altered throughout life. These alterations and the very process of expansion itself may therefore also provide distinct regulatory influences on the cells (healthy or malignant) that are generated inside this niche, leading to the question: Does the age of the bone marrow microenvironment differentially influence the development of (“childhood”) B-ALL versus (“adult”) CML by the release of cytokines?
In previous studies by the host-laboratory the age distribution of B-ALL versus CML in a murine transduction/ transplantation model could be recapitulated; young mice which received the same number of leukaemia-initiating cells as their old counterparts died significantly earlier of B-ALL while showing a significantly delayed clinical course, when they were suffering from CML. The tumour load and other leukaemia-associated parameters also showed a clear disposition towards preferential induction of CML in elderly and B-ALL in younger mice.
In this project we could support the hypothesis that the age of the BMM differentially influences the proliferation of leukaemic cells and thereby the development and persistence of different types of leukaemias by utilising different in vitro culture experiments. Specifically, we could show that young (compared to old) bone marrow
11 stroma cells (BMSC) support the growth of (BCR-ABL1+) B-ALL cells both in a direct, cell on cell co-culture setting, as well as in young BMSC-derived conditioned medium. This supports the hypothesis that varying factors are differentially released from a young versus an old BMM and influence the growth of the leukaemia cells. The opposite might be true for CML cells (BCR-ABL1+ 32D cells); BMSC obtained from old animals showed a tendency to support their growth more profoundly than cells acquired from young animals.
Possible proteins responsible for the distinct regulation of myeloid versus lymphatic leukaemic cells by young versus old BMM have also been studied. We investigated C-X-C motif chemokine 13 (CXCL13) and growth differentiation factor 11 (GDF11) in their effect on leukaemia cells, as both proteins having previously been described to have tumour-modelling properties and age-dependent levels (see below).
We identified an increased secretion of CXCL13, a B-cell chemotactic factor, into conditioned medium from young versus old BMSC. In accordance with this we found migration of B-ALL cells towards BMSC from young compared to old mice to be improved, while adhesion of both B-ALL and CML cells to young versus old BMSC did not show any differences. By blocking CXCL13 the proliferation-supporting effect of young BMSC on B-ALL cells could be diminished. Similar effects could be demonstrated by blocking GDF11.
In the case of CML cells we could observe the opposite effect; blocking CXCL13 and GDF11 increased their proliferation in a co-culture with BMSC. This supported our hypothesis that both cytokines differentially regulate B-ALL and CML behaviour. After the completion of this thesis, another member of the host-laboratory convincingly demonstrated the role of BMM age in the regulation of B-ALL via CXCL13 signalling (see discussion).
Since Vietnamese is an isolating language, word order plays an important role in identifying the function of a particular word. Yet in some contexts word order may be flexible especially in the case of special information-structural settings. Discontinuous noun phrases constitute a specific case of non-canonical word order in Vietnamese.
I have conducted two read-speech experiments in order to find out whether there are prosodic or intonational effects in a comparison between continuous and discontinuous noun phrases in Vietnamese. In the first experiment, speakers from the Northern dialect were recorded and in the second experiment speakers from the Southern dialect. The results showed prosodic differences in the two word order conditions in both dialects. The duration of the classifier is significantly longer (p<0.001, ANOVA calculation) in the case of discontinuous noun phrases and the rising tone (sắc) is clearly articulated as rising. In the case of continuous noun phrases, the duration of the classifier is significantly shorter (p<0.001, ANOVA calculation) and a classifier with rising tone may lose its rising property. These prosodic effects are related to prosodic boundaries. In the case of discontinuous noun phrases, the classifier constitutes the prosodic boundary, whereas with continuous noun phrases, the (right) prosodic boundary occurs further to the right.
I assume that in Vietnamese there is generally a correspondence between syntactic and prosodic structure as in Selkirk (2011) and Féry (2017).
This means that for example the DP hai trái cam ‘two oranges’ (two CLF orange) is matched by a prosodic phrase, thus (hai trái cam)Φ. However, when the noun cam ‘orange’ is separated from the numeral-classifier complex, the noun and the classifier form a prosodic phrase on their own: (hai trái)Φ. It can thus be concluded that intonation effects in Vietnamese are not only present when expressing sentence modality and when changing the role of function words (Đỗ et al. 1998 and Hạ & Grice 2010), but they also play a role in word order change, as in discontinuous nominal phrases.
When it comes to syntactic aspects of discontinuous noun phrases, I discuss whether split constructions in Vietnamese involve movement as proposed by Trịnh (2011) or base-generation as put forward by Fanselow & Féry (2006). I argue for base-generation analysis since the second part of a discontinuous NP (remnant) may also occur outside of discontinuous noun phrases without its head noun and some discontinuous noun phrases do not have a continuous counterpart. My study confirms the connection between syntax and prosody.
The two parts of the discontinuous noun phrase form their own phrases syntactically as well as prosodically.
The aim of this thesis is to provide a complete and consistent derivation of second-order dissipative relativistic spin hydrodynamics from quantum field theory. We will proceed in two main steps. The first one is the formulation of spin kinetic theory from quantum field theory using the Wigner-function formalism and performing an expansion in powers of the Planck constant. The essential ingredient here is the nonlocal collision term. We will find that the nonlocality of the collision term arises at first order in the Planck constant and is responsible for the spin alignment with vorticity, as it allows for conversion between spin and orbital angular momentum.
In the second step, this kinetic theory is used as the starting point to derive hydrodynamics including spin degrees of freedom. The so-called canonical form of the conserved currents follows from Noether’s theorem.
Applying an HW pseudo-gauge transformation, we obtain a spin tensor and energy-momentum tensor with obvious physical interpretation. Promoting all components of the HW tensors to be dynamical, we derive
second-order dissipative spin hydrodynamics. The additional equations of motion for the dissipative currents are obtained from kinetic theory generalizing the method of moments to include spin degrees of freedom.
Many metabolic pathways of eukaryotes are carried out in form of interconnected pathways, which take place in organelles. The organelle membrane separates the reaction compartments from each other, making it a key feature of organelle existence in the cell. To maintain cellular homeostasis, organelle positioning in and transport through the cell as well as organelle interaction are important for the organisms. In plants, organellar movement of peroxisomes, Golgi stacks and mitochondria was shown to be mediated by the actin-myosin machinery. The molecular mechanisms are not elucidated, but working models comprise classical movement mechanisms of motor proteins pulling their cargo on cytoskeletal filaments. In contrast, many mechanisms of chloroplasts movement, which are regulated by blue and red light, are deciphered but follow a different molecular mechanism. Plastidal relatives of the chloroplast have long been disregarded by scientific research but carry out important metabolic reactions to maintain cellular homeostasis. The cellular transport and movement mechanisms of root plastids have not been described in detail until now. Additionally, all plastid subspecies can form tubular structures, called stromules. Those are thought to be involved in the organelle communication and metabolite exchange. Since they are very mobile structures, they influence the organellar dynamic of plastids. This work aimed for an in-detail description of the cellular movements of root plastids in the plant Arabidopsis thaliana to elucidate underlying mechanisms of their movement. Additionally, the dynamics of root plastid stromules were investigated, led by the questions, if and how stromules are involved in the mediation of plastidal movement and their overall dynamics. Plastidal movement in Arabidopsis thaliana was captured using light sheet-based fluorescence microscopy. 4D image data was automatically analyzed using the program Arivis Vision 4D with subsequent manual correction. Additionally to the 4D approach, a manual 3D analysis of plastid and stromule dynamics was performed. The results of the semiautomated analysis displayed heterologous distribution of the plastidal movement. Using a combination of the vector length of each motion event and the angle in relation to previous motion vectors, the proportions of different movement patterns were determined. Main fractions of the data showed undirected motion of plastids, whereas small proportions displayed directed movement with speed up to 8.5 µm/sec. Directed motion was shown to be carried out on defined routes in the cell. Salt stress did not affect plastidal motion, whereas drought stress lead to its reduction. Sucrose depletion led to a drastic decrease of plastidal movement. Additionally, stromule dynamics were investigated using the acquired image data. Stromules were observed in high frequency mainly at stationary plastids giving them the opportunity of dynamic interaction in their cellular surrounding. Stromules reached lengths of up to 60 µm. Additionally, they displayed a variety of movement patterns that contributed greatly to the overall plastid dynamics. Stromule related motion events were captured reaching up to 3.2 µm/sec. Similar to determined plastid dynamics, stromule motions were reduced during drought stress and sucrose depletion, but also were negatively influenced by salt stress. Those results strongly favor an actin-myosin mediated movement machinery mediating the plastidal and stromule movement. This stands in contrast to previous results describing the movement mechanisms of light induced chloroplast movement.
In an additional approach, the molecular mechanisms underlying stromule formation were analyzed. Previous results describe that stromule formation can be induced at isolated chloroplasts of the plant Nicotiana benthamiana by mixing it with concentrated cell extract. During this work, a variation of the described assay was established using the plant Pisum sativum. It was shown that an unknown protein factor presumably undergoing protein-lipid interaction is responsible for in vitro stromule formation. Using a combination of sucrose gradient centrifugation and anion exchange chromatography, the desired factor could be enriched, while the majority of unwanted proteins could be reduced drastically. A following LC-MS analysis revealed a selection of proteins with membrane interaction- and unknown functions that might be involved in in vitro stromule formation.
Plastic pollution is a pervasive problem. In the environment, both the physical and chemical aspects of the material contribute to pollution. For instance, discarded plastic is useless waste that is fragmented upon degradation and so-called microplastics <5 mm are formed. Besides, the chemicals added into plastics are usually customized for specific functions, but these can easily transfer from the polymer into an ambient medium. This work examined both of these aspects. Moreover, the question of whether ecotoxicological effects are more likely to appear because of the microparticle properties or the chemicals transferring from the microplastics was addressed. A special focus was laid on the UV-weathering-induced chemical release.
First, conventional and biodegradable plastics made from fossil and bio-based resources were chosen. The different materials (pre-production and recycled pellets as well as final products)were weathered and their leachates evaluated in vitro. The leachates were analyzed with nontarget screening in order to measure the number of transferred chemicals. Plastics identified as toxic were subjected to further investigations in vivo. A biodegradable shampoo bottle was processed to microplastics and the particles’ physical and chemical properties were assessed with the freshwater worm Lumbriculus variegatus. Here, commonly used endpoints such as mortality, reproduction and weight were tested via different exposure routes. Moreover, the freshwater shrimp Neocaridina palmata was exposed to microplastic beads and fragments to clarify if the shape of the particles affects the ingestion and egestion, respectively. Thereafter, two materials that displayed the strongest toxic responses in vitro within the first study were weathered and leached. Finally, the shrimps were exposed to the leachates and the locomotor behavior was used as an ecologically relevant but less frequently studied endpoint.
The results of the studies highlight that plastics are chemically complex mixtures, containing a wide range of chemicals in terms of the number and functionality. These chemicals induced oxidative stress, baseline toxicity and endocrine activities. This shows that pellets represent a processing state that comprises chemically heterogenous materials. Moreover, it was shown that a degradation initiator is not necessarily relevant to trigger inherent substances to leach out from plastics. Despite this, the UV-weathering resulted in increasingly released chemicals and exacerbated the in vitro toxicities. Even plastics assessed as toxicologically harmless prior to weathering released toxic chemical mixtures once they were weathered. One recycled and all of the biodegradable plastics were toxicologically most concerning. This means that such materials are currently not better than conventional, virgin plastics in terms of their toxicity.
To clarify the source of the microplastic toxicity, L. variegatus was exposed to biodegradable microplastics. The particles were ingested by the worms and adversely affected the examined endpoints. In comparison, microplastics that were depleted from their chemicals via a solvent treatment were less toxic. Kaolin as a natural particle control was evaluated alongside and positively affected the weight of the worms. This emphasizes the ecological relevance of fine-sized matter for the test species. The chemicals extracted from the microplastics induced a 100% mortality. A chemical analysis of the material revealed two ecotoxicologically relevant biocides. The physically-mediated effects of the microplastics seemed to be less of a concern for the worms, which is probably linked to their adaptation to high concentrations of naturally occurring particles in the environment. However, the effects related to the chemicals of plastic cannot be ignored, especially for materials that are claimed to be environmentally friendly.
In the third study, the role of the particle shape in the gut passaging of N. palmata was studied. While the particle size was a determinant factor for the ingestion, the ingestion and egestion of the beads and fragments did not differ, respectively. The shrimps ingested less fragments when food was provided than in the absence of food. As for the worms, the shrimps are known to ingest many naturally occurring particles. Their unselective feeding behavior towards the particle shape could indicate that microplastics as a physical pollutant are negligible for the shrimps. That is why the chemicals of the two most toxic in vitro materials were tested with N. palmata. However, no trend towards elevated or reduced movements of the shrimps was observed, even though the leachates contained baseline toxicants. This shows that the in vitro toxicities of plastics are not necessarily indicative for effects to occur at the in vivo level...
The European Community has set a milestone in the European water policy in 2000: all water directives and policies were united into one comprehensive document – the European Water Framework Directive (EU WFD). The EU WFD requires the monitoring of 45 priority substances, primarily in the water phase, which is not related to a substantial amount of chemicals available on the market worldwide (about 50,000). About 60% of these are human and environmentally toxic. Hence, the currently monitored 45 priority substances are not even close to being sufficient to provide a comprehensive picture of the actual chemical pollution in the aquatic environment.
Furthermore, the EU WFD in its original shape paid less attention to sediments as an important source and sink for chemical contamination. Under stable hydrological conditions, polluted old sediments are covered by less polluted younger sediments preventing erosion of deeper sediment layers and, therefore, the release of particle-bound contaminants. However, urbanization, deforestation, flooding, dredging, riverbed renaturation, and stormwater overflow basin releases can lead to an unpredictable release of particle-bound pollutants. Therefore, in 2008, sediments were added to the EU WFD as a monitoring matrix for substances that tend to accumulate there. As a result, after 18 years of the EU WFD, less than half of all European waterbodies reached a good ecological (40%) and chemical (38%) status.
One of the primary pollution sources in aquatic ecosystems are wastewater treatment plants (WWTPs). Advanced wastewater treatment by ozonation is promising to remove most micropollutants. However, the knowledge about the possible improvement of the receiving waterbody is rare. The latter aspects were the main reasons for the start of the DemO3AC project in 2014. The study area was located in the federal state of North Rhine-Westphalia (Germany). The study area included the Wurm River and its tributary, the Haarbach River. Both waterbodies act as receiving waterbodies for WWTPs. One of them is the Aachen-Soers WWTP (receiving waterbody: Wurm River), upgraded by full stream ozonation as an advanced effluent treatment. Therefore, the extensive investigation program within the DemO3AC project included an investigation of the ecological and chemical status of both receiving waterbodies and the investigation of a possible improvement of the Wurm River after implementing advanced effluent treatment.
The current study was a part of the DemO3AC project and covered the sediment toxicity and a possible impact of the ozonation on aquatic organisms in the receiving waterbody. Time-resolved sampling campaigns allowed investigations under different hydrological conditions, mainly determined by the weather. The first sampling campaign took place in June 2017 during a prolonged dry period with low water flow in the receiving waterbodies. The second sampling campaign was performed exactly one year later (June 2018) after a long rainy period and corresponding high-water levels. Full-stream ozonation at the Aachen-Soers WWTP had been in operation for half a year. Furthermore, a wide range of organic micropollutants was investigated in the effluent of the studied WWTPs to assess a possible hazard emerging from contaminants released into the receiving waterbody.
The study design was developed based on the holistic approach to assessing the ecotoxicological pollution of surface waterbodies. It included the detection of chemical compounds combined with effect-based methods to identify possible drivers of toxicity. The sediment's ecotoxicological assessment included studies on endocrine-disrupting activity, genotoxic and embryotoxic potentials. These endpoints were evaluated using in vitro and in vivo bioassays. In addition, sediments’ chemical profiling was performed using modern analytical chemistry techniques.
The genotoxic potential was investigated using the Ames fluctuation assay with Salmonella typhimurium bacterial strains TA98, TA100, YG1041, and YG1042, sensitive to different classes of compounds, and the Micronucleus assay as a eukaryotic assay with mammalian cells. A unique feature of the present study was the implementation of non-standard Salmonella typhimurium bacterial strains YG1041 and YG1042 in the Ames fluctuation assay. Moreover, a comprehensive genotoxicity ranking of chemical compounds identified in sediments was used and combined with statistical analysis to identify the drivers of genotoxicity. The results of this study were published in Shuliakevich et al. (2022a) (see also Annex 1), describing the mutagenic potential of all sampling sites, which was primarily driven by polycyclic aromatic hydrocarbons, nitroarenes, aromatic amines, and polycyclic heteroarenes. In addition, the rainwater overflow basin was identified as a significant source for particle-bound pollutants from untreated wastewater, suggesting its role as a possible source of genotoxic potential. The present study showed high sensitivity and applicability of non-standard Salmonella typhimurium bacterial strains YG1041 and YG1042 in the Ames fluctuation assay to assess the different classes of mutagenic compounds. A combination of effect-based methods and a chemical analysis was shown as a suitable tool for a genotoxic assessment of freshwater sediments.
The sediments' endocrine-disruptive activity was investigated using the cell-based reporter gene CALUX® assay. A simultaneous launch of the full-scale effluent ozonation at the Aachen-Soers WWTP was used for investigation of the entrance of the ozonated effluent into the Wurm River and the endocrine-disrupting activity in the water phase. A particular focus of the present study was the unique investigation of PAHs as possible drivers of the endocrine-disrupting activity in sediments of the Wurm River. The results of this study were laid down in the publication by Shuliakevich et al. (2022b) (see also Annex 2), describing variations in endocrine-disrupting activity in the Wurm River under different weather conditions. Briefly, under stable hydrological conditions in June 2017, the estrogenic and the antiandrogenic activities in sediments of the Wurm River were within the range of 0.03-0.1 ng E2 equivalents (eq.)/g dry weight sediment equivalents (dw SEQ) and 3.0-13.9 µg Flu eq./g dw SEQ, respectively. After extensive rain events in June 2018, the sediments' estrogenic and antiandrogenic activities were detected within the range of 0.06-0.2 ng E2 eq./g dw SEQ and 1.7-39.2 µg Flu eq./g de SEQ, respectively. Increased endocrine-disruptive activity (up to 0.2 ng E2 eq./g dw SEQ in ERα- and 39.2 µg Flu eq./g dw SEQ in anti-AR-CALUX® assays) in sediments downstream of the rainwater overflow basin suggested it as a possible source of pollution. A unique result of the second study was finding a positive correlation between measured particle-bound antiandrogenic activity and detected polyaromatic hydrocarbons (PAHs) ...
To this day, stroke is the leading cause of death and disability worldwide. Due to increasing age of the world population and poor lifestyle, the incidence is further rising. Besides mechanical thrombectomy as a surgical option, there is a lack of therapeutic options with recombinant tissue plasminogen activator (rt-PA) being the only approved drug for treatment for ischemic stroke. However, there are various problems that make the administration of rt-PA difficult. In particular, it can only be given for ischemic (not hemorrhagic) stroke, and there is a narrow time frame of 4.5 hours after onset of stroke, in which it can be successfully applied. While the success rates of combined thrombectomy with rt-PA are around 60%, less than 5% of patients receive this therapy.
ß-Hydroxybutyrate (BHB) is a ketone body that is formed in high amounts during fasting and lipolysis. Ketone bodes and the ketogenic diet have been shown to have neuroprotective properties in neurodegenerative diseases. In prior work of our group, the ketogenic diet was shown to have beneficial effects in mice after transient ischemia. In the present work, a single dose of BHB was tested for beneficial effects. For this purpose, microdialysis was used to demonstrate that BHB can cross the blood-brain barrier. For the next series of experiments, transient cerebral ischemia was induced in mice for 90 minutes by unilaterally occluding the middle cerebral artery (MCAO) with a silicone-covered filament. Behavioral tests one day after BHB administration showed that the moderate dose of 30 mg/kg, given immediately after reperfusion, improved the neurological score significantly whereas a lower (10 mg/kg) and a higher dose (100 mg/kg) had no effects The main part of the experiments focused on mitochondrial respiration as a potential mechanism of action for BHB. In isolated mitochondria from mouse brain, BHB (1-10 mM) was able to stimulate mitochondrial respiration stronger than pyruvate, but not as strong as succinate.. In the following experiments, MCAO was induced in vivo, and mitochondria were isolated and investigated ex vivo. Experiments were conducted 60 minutes, 24 hours, 72 hours, and 7 days after cerebral ischemia and reperfusion. Besides mitochondrial respiration (normalized to mitochondrial protein content or citrate synthase activity), several other parameters were monitored: the development of bodyweight throughout the experiment, citrate synthase activity, plasma metabolites and behavior to assess motor functions. Three behavioral tests were conducted: first, the Corner test, an experiment for measuring the extent of unilateral movement. Here, if a stroked mouse is put into a narrow corner (30°), it is most likely to turn unilaterally to the right, whereas an unimpaired mouse will turn to both sides randomly. From a total of 10 turns, a laterality index was calculated. Second, in the Chimney test, the mouse walks heads first into a tube. Once it reaches the end, the tube is tipped 90 degrees to stand on the table vertically. Motorically impaired animals have difficulties crawling backwards up to the top of the tube. The experiment was stopped if an animal did not reach the top of the tube within 60 seconds. Third, in the Rotarod test, the mouse is placed on a rotating beam on which it is supposed to walk for at least 60 seconds, and the time when the animal falls off the rotating tube is measured.
All animals that had undergone ischemia showed massive weight loss until 72 hours after reperfusion. Weight loss then stagnated and there was a trend of increasing weight 7 days after reperfusion. The behavioral analysis showed that 24 hours after reperfusion, BHB-treated animals performed significantly better in the Corner test, meaning their moving patterns were more heterogeneous than those of saline-treated animals and in the Chimney test. 72 hours after reperfusion, BHB-treated animals still performed significantly better in the Chimney test, but 7 days after reperfusion, the performances of BHB- and saline-treated animals were no longer different from each other in any of the behavioral tests. In separate experiments, the plasma metabolites glucose, lactate, and pyruvate were changed in the animals that had undergone ischemia but were not affected by BHB administration.
Mitochondrial respiration was tested at four time points after the administration of BHB after reperfusion – 60 minutes, 24 hours, 72 hours, and 7 days after transient cerebral ischemia. 60 minutes later, data showed an increase of oxygen consumption of the complexes I and II. OxPhos was also increased but the effect at this point, did not reach statistical significance. 24 hours after reperfusion, this effect was consolidated: complex I, complex II and OxPhos respiration were significantly improved in the BHB-treated group compared to saline...
KMT2A-rearrangements are causative for 70-80% all infant acute lymphoblastic leukemias (Pieters et al., 2019, 2007). Among these, the translocation t(4;11)(q21;23) generating the oncogenic fusion genes KMT2A::AFF1 and AFF1::KMT2A is the most frequent one, accounting for almost every second case of KMT2A-r infant ALL (Meyer et al., 2018). Despite passing a multimodal chemotherapy, 64% of patients achieve an event including relapse or death within four years from diagnosis, and overall survival three years from relapse remains poor with only 17% (Driessen et al., 2016; Pieters et al., 2019, 2007). Vari-ous studies have shown that relapse and therapy resistance were not mediated by chemotherapy-induced mutagenesis as there was no accumulation of secondary mutations in the dominant leukemic clone between diagnosis and relapse (Agraz-Doblas et al., 2019; Andersson et al., 2015; Bardini et al., 2011; Dobbins et al., 2013; Driessen et al., 2013; Mullighan et al., 2007).
Intriguingly, exclusively infant t(4;11) ALL patients were reported to subdivide in two groups depending on the level of HOXA gene cluster expression (Trentin et al., 2009). The HOXAlo group displayed a high expression of IRX1 and the HOXAhi group a low expression of IRX1 (Symeonidou and Ottersbach, 2021; Trentin et al., 2009). Importantly, the HOXAlo/IRX1hi group was characterized to possess a strongly ele-vated relapse incidence compared to the HOXAhi/IRX1lo group (Kang et al., 2012; Stam et al., 2010). IRX1 was identified to upregulate the Early growth response genes EGR1, EGR2 and EGR3 (Kühn et al., 2016).
The doctoral project “EGR-mediated relapse mechanisms in infant t(4;11) acute lymphoblastic leuke-mia” aimed to investigate a potential correlation between the HOXAlo-IRX1-EGR axis and relapse development in infant t(4;11) ALL. The primary objective was to clarify through which molecular mechanism(s) relapse development despite continuous chemotherapy could be achieved. In this context, the role of the EGR genes has been investigated. In addition, this project aimed to disclose molecular targets which could offer novel therapeutic interventions to interfere with therapy resistance and relapse formation.
Carbon is an element that controls planetary habitability, and is fundamental for life on Earth. Its behaviour has important consequences for the global climate system, the origin and evolution of life on Earth. While the biosphere and atmosphere’s carbon cycle only accounts for less than 1% of the global carbon budget, hidden reservoirs of deep carbon in the Earth’s interior comprise the predominant storage of carbon on the planet. At the Earth’s surface, 60-70 % of carbon is hosted by carbonate minerals, which are then transported to the Earth’s interior, mainly in the form of sediments, by subduction of the oceanic lithosphere. Subducting plates are subjected to decarbonation, dehydration, and melting with CO2 release via supra-subduction volcanism. Nevertheless, part of the subducted carbonates’ may survive and be further transported to the deep mantle. Direct evidence of the existence of carbonates in the Earth’s interior, possibly reaching down to the lower mantle, comes from the finding of syngenetic inclusions of carbonates in diamonds and mantle xenoliths. The presence of carbonates in the deep Earth has a critical effect on the physical properties of the mantle. Melting and chemical speciation of the mantle are strongly affected by the form of C and carbonate stability. Therefore, the study of the stability and physical properties of carbonates at high pressures and temperatures is fundamental, because understanding the processes involved in the deep carbon cycle helps to improve our picture of the whole mantle.
The systematic characterization of the elastic properties of carbonates as a function of their structure and chemical composition is of great importance because it may allow to identify their presence and distribution by seismology. Inverting seismic observations to successfully constrain the chemical composition and mineralogy of the Earth’s interior requires knowledge of the physical properties of all possible Earth’s materials at pressures and temperatures applicable to the Earth’s interior. Up to now, a multitude of studies has focused on the construction of phase diagrams and structural transitions by means of X-ray diffraction and vibrational spectroscopy experiments.
Few studies are available on the complete elastic tensor of carbonates, however most of the datasets are not accompanied by an accurate characterization of the samples, which are often solid solutions and the exact chemical composition, density or the details about the experimental methods used are not presented. The aim of this thesis is to study the effect of chemical composition on the elastic properties of carbonates, providing a reliable dataset on the elasticity of the main carbonates. In particular, the elastic properties of crystalline aragonite, CaCO3, and Fe-dolomite, (Ca, Mg, Fe)(CO3)2, with different compositions were studied by Brillouin spectroscopy at ambient conditions. Brillouin spectroscopy was also used to investigate the elastic behaviour of amorphous calcium carbonate samples with different water contents (up to 18 wt%) at high pressures, up to 20 GPa.
Furthermore, the importance of cationic substitution on the structure and high pressure behaviour of carbonates was investigated by studying a synthetic CaCO3-SrCO3 solid solution at ambient conditions and at high pressures, up to 10 GPa, by single crystal X-ray diffraction. Finally, the study of the effect of composition on the elastic properties of families of isostructural solids was also extended to a different class of materials, the metal guanidinium formates. The elasticity of a family of perovskite metal organic frameworks, metal guanidinium formates C(NH2)3MII(HCOO)3, with MII =Mn, Zn, Cu, Co, Cd and Ca was investigated by combining Brillouin spectroscopy, resonant ultrasound spectroscopy, density functional theory and thermal diffuse scattering analysis.
Patients harboring mutations in the gene DEPDC5 often display variations of neurological diseases including epilepsy, autism spectrum disorders (ASD) and other neuro-architectural alterations. DEPDC5 protein has been identified as an amino acid sensor responsible for negatively regulating the mechanistic target of rapamycin (mTOR), a central regulator in cell growth and cell homeostasis. Often, mutations of the DEPDC5 protein result in mTOR hyperactivity leading to abnormal neuronal phenotypes and the generation of excitatory/inhibitory imbalances in animal models. Complete knockout (KO) of DEPDC5 results in death shortly after birth, while inhibition of mTOR activity recovers postnatal death (Marsan et al. 2016). However, heterozygous DEPDC5-KOs in animals have been variable in their disease phenotypes during adulthood indicating developmental differences between subspecies and early development mechanisms which could be impactful on the outcome of the diseases.
To understand the mechanisms underlying DEPDC5 mutations during early development, a novel primary human neural progenitor cell line extracted from fetal tissue was characterized during proliferation and differentiation. CRISPR-Cas9 induced mutations of the DEPDC5 gene resulted in hyperphosphorylation of mTOR signaling processes and rapid expansion of the neuronal population during differentiation. Analysis of transcriptome data identified deregulation amongst p53 signaling, ribosome biogenesis, nucleotide and lipid synthesis as well as protein degradation pathways due to loss of DEPDC5. Disease gene datasets identified a correlation between Tuberous Sclerosis mutations as being more closely associated with DEPDC5 mutations while also finding overlap with some ASD and epilepsy genes. By using the mTOR inhibitor rapamycin, a substantial amount of the deregulated gene network was recovered while also reversing rapid neuronal differentiation caused by loss of DEPDC5. Though we saw increased dendritic arborization and subsequent decreases in dendrite lengths and soma sizes, rapamycin failed to recover these effects suggesting mTOR independent processes produced by DEPDC5-KO. This study provides new insights on the relationship between mutations in DEPDC5 and the functional, genomic and deregulatory networks it intertwines in humans and highlights that the DEPDC5 associated pathomechanisms are not fully related to mTOR hyperactivation, but include independent processes. This also sheds light on the question why rapamycin treatment only partially restores DEPDC5 related phenotypes and gives insight on treatments for DEPDC5 patients.
This work ties in with the investigation of the intermediate valent states and valence fluctuations in certain europium based intermetallic systems. Valence fluctuations are a property of the electronic system of a compound that is possibly accompanied by structural effects, which, in some cases, are quite noticable. By assuming how the changes in the electronic system and in the crystal lattice are connected, valence _uctuations of europium are believed to be a possible probe for the theory of quantum critical elasticity, which is investigated on by the SFB TRR 288 (Frankfurt, Mainz, Karlsruhe, Bochum, Dresden).
Here, the proceedings in growing single crystals of di_erent compounds related to this _eld of research are reported. This includes the ThCr2Si2 (122) type compounds EuPd2Si2 as well as the doping series EuPd2(Si1-xGex)2, the Europium based ternary Phosphides EuFe2P2, EuCo2P2, EuNi2P2 and EuRu2P2, and attempts to grow compounds of a derived 1144 structure by ordered substitution of half the Europium, EuKRu4P4.
The largest part of this work focusses on the EuPd2Si2 system, which exhibits intermediate valent europium and a temperature dependent transition between two di_erent intermediate valent states of europium. Crystals of this system were grown using the Czochralski method with a levitating melt and an europium excess flux after a two step prereaction process. Also, explorations of a PdSi-rich flux and external flux methods are reported. Ten Czochralski grown experiments, in six generations iteratevely seeded by the previous generation, were prepared.
Thermodynamical and structural analyses of the crystals located the transition between the di_erent intermediate valent states of europium between 140K and 165 K, transitioning from a high temperature Eu2.3+ state to a low temperature Eu2.7+ state, and classified it as a second order transition. To this transition a lattice anomaly of the a-parameter collapsing about 2% is connected, while the c-parameter remains largely unaffected. Large differences between individual samples can be explained by combining thermodynamical and structural analyses with compositional analysis, revealing the valence transition temperature as strongly dependent on the sample composition and Pd-Si site interchanges.
Searching to change the character of the valence transition to first order, silicon was substituted by germanium to introduce negative pressure. Germanium substituted samples of EuPd2(Si1-xGex)2 were grown using the Czochralski method with the optimized parameters from the growth experiments for the undoped compound. Samples were prepared with a nominal substitution of x = 0.05, x = 0.10, x = 0.15, x = 0.20 (twice) and x = 0.30. For the EuPd2(Si1-xGex)2 system, a phase diagram for the europium valence states is derived from chemical and thermodynamical characterizations.
n ternary europium phosphides EuT2P2, the position of the compounds in the generalized phase diagram and the question of long range magnetic order or valence transition appear connected to an isostructural transition of the tetragonal crystal structure, drastically decreasing the length of the c-parameter while establishing covalent bonds between phosphorus atoms of different interlayers of the structure, the so called ‚collapse‘. While EuFe2P2, EuT2P2 and EuCo2P2 display both long range magnetic order and a non-collapsed crystal structure, EuNi2P2 shows both a valence transition between two intermediate valent states at a characteristic temperature of 36K - accompanied by a small lattice anomaly of the a-parameter shrinking about 0.2% - and a collapsed crystal structure. Samples of EuFe2P2, EuCo2P2 and EuNi2P2 were grown in tin flux and using solid-solid sintering approaches.
Single crystals of EuFe2P2, EuCo2P2 and EuRu2P2 were investigated at ESRF in Grenoble with single crystal X-ray di_ractometry on a pressure range up to 15GPa and at temperatures down to 15K to investigate the nature of the structural transitions in the compounds. While in EuCo2P2 the structural transition occurs as a transition of first order at all temperatures (e.g. at 2GPa for 15 K), in EuFe2P2 and EuRu2P2 the structural collapse evolves over a broad pressure range up to 8GPa and as a transition of second order troughout the temperature ranges, albeit seeming to sharpen at lower temperatures. From the crystallographic data, elastic constants of the compounds could be derived, revealing EuFe2P2 and EuRu2P2 as unexpectedly elastic materials.
In order to probe the structural collapse at more accessible pressures, crystals with a sturcture derived from the 122 structure, but with ordered 50% substitution of europium and hence altering the symmetry from I4/mmm to P4/mmm in a 1144 structure, were exploratively pursued. Different experiments to obtain EuAT4P4 (with A = K, Rb, Cs and T = Fe, Ru) from binary or ternary prereactants or directly from the elements remained largely unsuccessful.
The climate system is one of the classical examples of a complex dynamical system consisting of interacting sub-systems through mass, momentum, and energy exchange across various spatial and temporal scales. This thesis aims to detect and quantify sub-component interactions from an information exchange (IE) perspective. For this purpose, IE estimators derived from information theory are explored and applied to the available climate data obtained from observations, reanalysis, global and regional climate models. Specifically, this thesis investigates the usefulness of information theory methods for process-oriented climate model evaluation.
Firstly, methods derived from the concepts of information theory such as transfer entropy and information flow along with their linear and non-linear estimation techniques are initially tested and applied to idealized two-dimensional dynamical systems. The results revealed an expected direction and magnitude of IE providing insights into underlying dynamics. However, as expected the linear estimators are robust for linear systems but fail for non-linear systems. Though the non-linear estimators (kernel and kraskov) showed expected results for all the idealized systems, their free tuning parameters are to be tested for consistent results. Moreover, these methods are sensitive to the available time series length.
A real world example case study involving the dynamics between the Indian and Pacific oceans revealed a physically consistent bi-directional IE. However, unexpected IE was detected in the example of North Atlantic and European air temperatures indicating hidden drivers. Though IE provides insights into system dynamics, the availability of time series length and the system at hand must be carefully taken into account before inferring any possible interpretations of the results.
Quantifying the IE from El-Ni\~{n}o southern oscillation (ENSO) and Indian Ocean Dipole (IOD) to the Indian Summer Monsoon Rainfall (ISMR) with the observational and reanalysis data sets revealed that both ENSO and IOD are synergistic predictors for the inter-annual variability of the ISMR over central India i.e., the monsoon core region. Though the investigated three Global Climate Models (GCM) could not reveal the underlying IE dynamics of ENSO, IOD, and ISMR, a Regional Climate Model (RCM) simulation downscaling one of the GCMs with realistic large scale signals across the lateral boundaries showed good agreement with the observations.
Evaluating a coupled regional climate modeling system driven by two different global data sets with IE estimators revealed significant differences between the process chains linking the north-west Mediterranean sea surface temperatures, evaporation, wind speed, and the Vb-cyclone induced precipitation over Danube, Odra, and Elbe catchments in the historical period (1951-2005). Detailed investigation revealed that the north-west Mediterranean Sea in the coupled regional simulation driven by ERA-20C reanalysis corresponded to the Vb-cyclone precipitation over the three catchments while no such correspondence is noted in the EC-EARTH driven simulation. This discrepancy is attributed to the inheritance of the simulation biases from GCM into the RCM. In the future period (1965-2099), no significant changes in the processes are noted from the simulation.
Overall, this thesis used IE estimators in investigating the underlying dynamics of climate system and climate models. The estimators proved useful in providing insights into climate system dynamics assisting in a process based climate model evaluation.
Facial expression recognition is linked to clinical and neurofunctional differences in autism
(2022)
Background: Difficulties in social communication are a defining clinical feature of autism. However, the underlying neurobiological heterogeneity has impeded targeted therapies, and requires new approaches to identifying clinically relevant bio-behavioural subgroups. In the largest autism cohort to date, we comprehensively examined difficulties in facial expression recognition, a key process in social communication, as a bio-behavioural stratification biomarker, and validated them against clinical features and neurofunctional responses.
Methods: Between 255 and 488 participants aged 6-30 years with autism, typical development and/or mild intellectual disability completed the Karolinska Directed Emotional Faces task, the Reading the Mind in the Eyes Task and/or the Films Expression Task. We first examined mean-group differences on each test. Then we used a novel intersection approach that compares two centroid and connectivity-based clustering methods to derive subgroups based on the combined performance across the three tasks. Measures and subgroups were then related to clinical features and neurofunctional differences measured using fMRI during a fearful face-matching task.
Results: We found significant mean-group differences on each expression recognition test. However, cluster analyses showed that these were driven by a low-performing autistic subgroup (~30% of autistic individuals who performed below 2SDs of the neurotypical mean on at least one test), while a larger subgroup (~70%) performed within 1SD on at least 2 tests. The low-performing subgroup also had on average significantly more social-communication difficulties and lower activation in the amygdala and fusiform gyrus than the high-performing subgroup.
Limitations: Findings of autism expression recognition subgroups and their characteristics require independent replication. This is currently not possible, as there is no other existing data set that includes all relevant measures. However, we demonstrated high internal robustness (91.6%) of findings between two clustering methods with fundamentally different assumptions, which is a critical pre-condition for independent replication.
Conclusions: We identified a subgroup of autistic individuals with expression recognition difficulties and showed that this related to clinical and neurobiological characteristics. If replicated, expression recognition may serve as bio-behavioural stratification biomarker and aid in the development of targeted interventions for a subgroup of autistic individuals.
Regulatory required, classical toxicity studies for environmental hazard assessment are costly, time consuming, and often lack mechanistic insights about the toxic mode of action induced through a compound. In addition, classical toxicological non-human animal tests raise serious ethical concerns and are not well suited for high throughput screening approaches. Molecular biomarker-based screenings could be a suitable alternative for identifying particular hazardous effects (e.g. endocrine disruption, developmental neurotoxicity) in non-target organisms at the molecular level. This, however, requires a better mechanistic understanding of different toxic modes of action (MoA) to describe characteristic molecular key events and respective markers.
Ecotoxicgenomics, which uses modern day omic technologies and systems biology approaches to study toxicological responses at the molecular level, are a promising new way for elucidating
the processes through which chemicals cause adverse effects in environmental organisms. In this context, this PhD study was designated to investigate and describe MoA-characteristic
ecotoxicogenomic signatures in three ecotoxicologically important aquatic model organisms of different trophic levels (Danio rerio, Daphnia magna and Lemna minor).
Applying non-target transcriptomic and proteomic methodologies post chemical exposure, the aim was to identify robust functional profiles and reliable biomarker candidates with potential
predictive properties to allow for a differentiation among different MoA in these organisms. For the sublethal exposure studies in the zebrafish embryo model (96 hpf), the acute fish embryo toxicity test guideline (OECD 236) was used as conceptual framework. As different test compounds with known MoA, the thyroid hormone 3,3′,5-triiodothyronine (T3) and the thyrostatic 6-propyl-2-thiouracil (6-PTU), as well as six nerve- and muscle-targeting insecticides (abamectin, carbaryl, chlorpyrifos, fipronil, imidacloprid and methoxychlor) were evaluated. Furthermore, a novel sublethal immune challenge assay in early zebrafish embryos (48 hpf) was evaluated for its potential to assess immuno-suppressive effects at the gene expression level. Therefore, toxicogenomic profiles after an immune response inducing stimulus with and without prior clobetasol propionate (CP) treatment were compared. For the aquatic invertebrate D. magna, the study was performed with previously determined low effect concentrations (EC5 & EC20) of fipronil and imidacloprid according to the acute immobilization test in water flea (OECD 202). The aim was to compare toxicogenomic signatures of the GABA-gated chloride channel blocker (fipronil) and the nAChR agonist (imidacloprid). With similar low effect concentrations, a shortened 3 day version of the growth inhibition test with L. minor (OECD 221) was conducted to find molecular profiles differentiating between photosynthesis and HMG-CoA reductase inhibitory effects. Here, the biological interpretation of the molecular stress response profiles in L. minor due to the lack of functional annotation of the reference genome was particularly challenging. Therefore, an annotation workflow was developed based on protein sequence homology predicted from the genomic reference sequences.
With this PhD work, it was shown how transcriptomic, proteomic and computational systems biology approaches can be coupled with aquatic toxicological tests, to gain important mechanistic insights into adverse effects at the molecular level. In general, for the different investigated adverse effects for the different organisms, biomarker candidates were identified, which describe a potential functional link between impaired gene expressions and previously reported apical effects. For the assessed chemicals in the zebrafish embryo model, biomarker candidates for thyroid disruption as well as developmental toxicity targeting the heart and central nervous system were described. The biomarkers derived from nerve- and muscletargeting insecticides were associated with three major affected processes: (1) cardiac muscle cell development and functioning, (2) oxygen transport and hypoxic stress and (3) neuronal development and plasticity. To our knowledge, this is the first study linking neurotoxic insecticide exposure and affected expression of important regulatory genes for heart muscle (tcap, actc2) and forebrain (npas4a) development in a vertebrate model. The proposed immunosuppression assay found CP to affect innate immune induction by attenuating the response of genes involved in antigen processing, TLR signalling, NF-КB signalling, and complement activation ...
The thesis is composed of four Chapters.
In the first Chapter, the boundary expression of the one-sided shape derivative of nonlocal Sobolev best constants is derived. As a simple consequence, we obtain the fractional version of the so-called Hadamard formula for the torsional rigidity and the first Dirichlet eigenvalue. An application to the optimal obstacle placement problem for the torsional rigidity and the first eigenvalue of the fractional Laplacian is given.
In the second Chapter, we introduce and prove a new maximum principle for doubly antisymmetric functions. The latter can be seen as the first step towards studying the optimal obstacle placement problem for the second fractional eigenvalue. Using the new maximum principle we derive new symmetry results for odd solutions to semilinear Dirichlet boundary value problems with Lipschitz nonlinearity.
In the third Chapter, we derive new integration by parts formula for the fractional Laplace operator with a general globally Lipschitz vector field and in particular, we obtain a new Pohozaev type identity generalizing the one obtained by X. Ros-Oton and J. Serra. As an application we obtain nonexistence results for semilinear Dirichlet boundary problems in bounded domains that are not necessarly starshaped.
In the last Chapter, we study symmetry properties of second eigenfunctions of annuli. Using results from the first Chapter and the maximum principle in Chpater 2, we extend the result on the optimal obstacle placement problem from the first eigenvalue to the second eigenvalue.
Oceanic islands only comprise a small amount of the Earth’s land area but harbour a disproportionate amount of global biodiversity. This vast diversity is not only reflected in the taxonomic uniqueness of island biota but also in the remarkable evolution of functional traits. Functional traits, i.e. measurable characteristics that strongly influence the fitness of species, determine how a species responds to its environment and can help to gain more insights into the biogeographical, ecological and evolutionary processes that have shaped island biodiversity. However, research in island biogeography has primarily focused on species richness, and knowledge of functional trait patterns on oceanic islands is scarce. Hence, in this dissertation, I have explored how trait-based approaches can increase our understanding of how biodiversity on oceanic islands assembles and how it is driven by the environment. The Canary Islands (Spain) are a particularly suitable model system to investigate patterns and drivers of biodiversity. The archipelago is characterised by a high variation in environmental heterogeneity and inhabits a unique and well-described native flora. Therefore, I have investigated five principal research questions using the flora (Spermatophytes) of the Canary Islands as a study object. First, I have analysed how climate and biogeography shape the assembly of the Canary Islands flora using a novel trait-based approach. Second, the question of whether rare climates link to functional trait distinctiveness in the native Canary Islands flora was addressed. Third, I have examined how intraspecific trait variation is represented in the native flora of oceanic islands focusing on the succulent scrub of La Palma (Canary Islands). Fourth, this dissertation investigated whether scientific floras can be reliable sources for trait data of plants native to oceanic islands. Finally, I have explored how climate change may impact the native Canary Islands flora by analysing possible climate change-induced shifts in plant species distribution and plant traits.
The results of my dissertation expand the understanding of the importance of biogeography and the environment in determining the functional composition of island floras. I have assessed that traits of endemic plant species did not expand the functional trait space of the Canary Islands but were packed with the ones of non-endemic species. This result hints at a trait convergence in endemic species, possibly driven by non-adaptive speciation processes. Moreover, I have evidenced that humidity is a critical driver of functional diversity in native plant assemblages and particularly leads to a high trait convergence in arid environments via environmental filtering. In contrast, alien species have expanded the Canary Islands flora’s functional trait space. I further have shown that in contrast to native species assemblages, alien species assemblages are characterised by an increasing functional diversity with increasing aridity. This contrasting pattern of functional diversity could pose a potential risk to the native flora of the Canary Islands as a low functional diversity is expected to reduce the resilience of species assemblages to the establishment of more functionally diverse alien plant species. However, in this dissertation, I also have revealed that endemic plant species on the Canary Islands show a high intraspecific variation in arid environments, possibly as an adaptation to environmental stress. Intraspecific variation could help endemic plant species have a competitive advantage over alien species and be more resilient to environmental changes. Furthermore, in this dissertation, I have shown that scientific floras and taxonomic monographs could be used to gain information on quantitative functional traits of plants native to oceanic islands. This finding is particularly relevant for advances in trait-based research, as coverage of trait data for oceanic island floras is extremely poor in global trait databases. Hence, for some of the studies included in this dissertation, trait data were retrieved from scientific floras and taxonomic monographs and used to answer novel scientific research questions. Thus, I have used trait data from the literature to analyse the effect of climate change on the range size of plants native to the Canary Islands. Identifying plant species of particular conservation concern is critical on oceanic islands as many island species have limited distributions and small population sizes, and their niche tracking is impeded by insularity. I have revealed that single-island endemic plants gain less and lose more climatically suitable areas than archipelago endemic and non-endemic native plants due to a climate change-induced decrease in precipitation until 2100...
Acute myeloid leukemia (AML) is one of the most frequently occurring and fatal types of leukemia. Initiated by genetic alterations in hematopoietic stem and progenitor cells, rapidly proliferating cancer cells (leukemic blasts) infiltrate the bone marrow and damage healthy hematopoiesis. Subgroups of AML are defined by underlying molecular and cytogenetic abnormalities, which are decisive for treatment and prognosis. For AML patients that can be intensively treated, the first line treatment remains a combination of cytarabine and anthracycline, which was developed in the 1970s. While this treatment regimen clears the disease and reinstates normal hematopoiesis (complete remission, CR) in 60% to 80% of patients below the age of 60, CR rates in patients above the age of 60 are only 40% to 50%. Relapse and refractory disease are the major cause of death of AML patients, despite large efforts to improve risk-adjusted post-remission therapy with further chemotherapy cycles and, if possible, allogeneic bone marrow transplantation. Elderly patients are particularly difficult to treat because of age-related comorbidities and because their disease tends to relapse more often than the disease of younger patients. Thus, the cure rates of AML vary with age, with 5-year survival rates of about 50% in young patients, and less than 20% in patients above the age of 65 years. With the median age of AML patients being 68 years, the need for novel therapeutic options is immense. The recent approval of eight new agents (venetoclax, midostaurin, gilteritinib, glasdegib, ivosidenib, enasidenib, gemtuzumab ozogamicin and CPX-351 (liposomal cytarabine and daunorubicin)) has added considerably to the therapeutic armamentarium of AML and has increased cure rates in specific subgroups of AML. However, the high heterogeneity among patients, clonal evolution and commonly occurring drug resistance, which cause the high relapse rates, remain a substantial problem in the treatment of AML. Therefore, a better understanding of currently used therapeutics and further development of novel therapeutics is urgently needed.
In recent years, attention has increasingly focused on therapeutic strategies to interfere with the metabolic requirements of cancer cells. The last three decades have provided extensive insights into the diversity and flexibility of AML metabolism. AML cells use different sources of nutrients compared to normal hematopoietic progenitor cells and reprogram their metabolic pathways to fulfill their exquisite anabolic and energetic needs. As a result, they develop high metabolic plasticity that enables them to thrive in the bone marrow microenvironment, where oxygen and nutrient availability are subject to constant change.
Cancer cells, specifically AML cells, have a strong dependency for the amino acid glutamine. Glutamine serves in energy production, redox control, cell signaling as well as an important nitrogen source. The only enzyme capable of de novo glutamine synthesis is glutamine synthetase (GS). GS catalyzes glutamine production from glutamate and ammonium. In AML, the metabolic role and dependency of GS is poorly understood. Here, we investigated the effects of GS deletion on AML growth, and its functional relevance in AML metabolism. Genetic deletion of GS resulted in a significant decrease of cell growth in vitro, and impaired leukemia progression in vivo in a xenotransplantation mouse model. Interestingly, the dependency of AML cell growth on GS was shown to be independent of its functional role in glutamine synthesis. Glutamine starvation did not increase the dependency of the AML cells on GS, nor did increased glutamine availability rescue the GS-knockout-associated growth disadvantage. Instead, functional studies revealed the role of GS in the detoxification of ammonium. GS-deficient cells showed elevated ammonium secretion as well as a higher sensitivity towards the toxic metabolite. Exogenous provision of 15N-labeled ammonium was detoxified by GS-driven incorporation into glutamine. Studies on cells that had gained resistance to GS-knockout-mediated growth inhibition indicated enzymes involved in the urea cycle and the arginine biogenesis pathway to compensate for a loss of GS. Together, these findings unveiled GS as an important ammonium scavenger in AML.
Clinical studies on AML patients revealed increased ammonium concentrations in the blast-infiltrated bone marrow compared to peripheral blood. In line with this finding, proteome and transcriptome analysis of AML blasts showed a significant upregulation of GS in AML compared to healthy progenitors, further indicating its importance in ammonium detoxification.
Analyzing pathways that contribute to ammonium production revealed protein uptake followed by amino acid catabolism as a yet not identified mechanism supporting AML growth. Protein endocytosis and subsequent proteolytic degradation were shown to rescue AML cells from otherwise growth-inhibiting glucose or amino acid depletion. Furthermore, protein metabolization led to the reactivation of the mammalian target of rapamycin (mTOR) signaling pathway, which was deactivated upon leucine and glutamine depletion, revealing protein consumption as an important alternative source of amino acids in AML.
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Die vorgelegte Dissertation behandelt den Einfluss homöostatischer Adaption auf die Informationsverarbeitung und Lenrprozesse in neuronalen Systemen. Der Begriff Homöostase bezeichnet die Fähigkeit eines dynamischen Systems, bestimmte interne Variablen durch Regelmechanismen in einem dynamischen Gleichgewicht zu halten. Ein klassisches Beispiel neuronaler Homöostase ist die dynamische Skalierung synaptischer Gewichte, wodurch die Aktivität bzw. Feuerrate einzelner Neuronen im zeitlichen Mittel konstant bleibt. Bei den von uns betrachteten Modellen handelt es sich um eine duale Form der neuronalen Homöostase. Das bedeutet, dass für jedes Neuron zwei interne Parameter an eine intrinsische Variable wie die bereits erwähnte mittlere Aktivität oder das Membranpotential gekoppelt werden. Eine Besonderheit dieser dualen Adaption ist die Tatsache, dass dadurch nicht nur das zeitliche Mittel einer dynamischen Variable, sondern auch die zeitliche Varianz, also die stärke der Fluktuation um den Mittelwert, kontrolliert werden kann. In dieser Arbeit werden zwei neuronale Systeme betrachtet, in der dieser Aspekt zum Tragen kommt.
Das erste behandelte System ist ein sogennantes Echo State Netzwerk, welches unter die Kategorie der rekurrenten Netzwerke fällt. Rekurrente neuronale Netzwerke haben im Allgemeinen die Eigenschaft, dass eine Population von Neuronen synaptische Verbindungen besitzt, die auf die Population selbst projizieren, also rückkoppeln. Rekurrente Netzwerke können somit als autonome (falls keinerlei zusätzliche externe synaptische Verbindungen existieren) oder nicht-autonome dynamische Systeme betrachtet werden, die durch die genannte Rückkopplung komplexe dynamische Eigenschaften besitzen. Abhängig von der Struktur der rekurrenten synaptischen Verbindungen kann beispielsweise Information aus externem Input über einen längeren Zeitraum gespeichert werden. Ebenso können dynamische Fixpunkte oder auch periodische bzw. chaotische Aktivitätsmuster entstehen. Diese dynamische Vielseitigkeit findet sich auch in den im Gehirn omnipräsenten rekurrenten Netzwerken und dient hier z.B. der Verarbeitung sensorischer Information oder der Ausführung von motorischen Bewegungsmustern. Das von uns betrachtete Echo State Netzwerk zeichnet sich dadurch aus, dass rekurrente synaptische Verbindungen zufällig generiert werden und keiner synaptischen Plastizität unterliegen. Verändert werden im Zuge eines Lernprozesses nur Verbindungen, die von diesem sogenannten dynamischen Reservoir auf Output-Neuronen projizieren. Trotz der Tatsache, dass dies den Lernvorgang stark vereinfacht, ist die Fähigkeit des Reservoirs zur Verarbeitung zeitabhängiger Inputs stark von der statistischen Verteilung abhängig, die für die Generierung der rekurrenten Verbindungen verwendet wird. Insbesondere die Varianz bzw. die Skalierung der Gewichte ist hierbei von großer Bedeutung. Ein Maß für diese Skalierung ist der Spektralradius der rekurrenten Gewichtsmatrix.
In vorangegangenen theoretischen Arbeiten wurde gezeigt, dass für das betrachtete System ein Spektralradius nahe unterhalb des kritischen Wertes von 1 zu einer guten Performance führt. Oberhalb dieses Wertes kommt es im autonomen Fall zu chaotischem dynamischen Verhalten, welches sich negativ auf die Informationsverarbeitung auswirkt. Der von uns eingeführte und als Flow Control bezeichnete duale Adaptionsmechanismus zielt nun darauf ab, über eine Skalierung der synaptischen Gewichte den Spektralradius auf den gewünschten Zielwert zu regulieren. Essentiell ist hierbei, dass die verwendete Adaptionsdynamik im Sinne der biologischen Plausibilität nur auf lokale Größen zurückgreift. Dies geschieht im Falle von Flow Control über eine Regulation der im Membranpotential der Zelle auftretenden Fluktuationen. Bei der Evaluierung der Effektivität von Flow Control zeigte sich, dass der Spektralradius sehr präzise kontrolliert werden kann, falls die Aktivitäten der Neuronen in der rekurrenten Population nur schwach korreliert sind. Korrelationen können beispielsweise durch einen zwischen den Neuronen stark synchronisierten externen Input induziert werden, der sich dementsprechend negativ auf die Präzision des Adaptionsmechanismus auswirkt.
Beim Testen des Netzwerks in einem Lernszenario wirkte sich dieser Effekt aber nicht negativ auf die Performance aus: Die optimale Performance wurde unabhängig von der stärke des korrelierten Inputs für einen Spektralradius erreicht, der leicht unter dem kritischen Wert von 1 lag. Dies führt uns zu der Schlussfolgerung, dass Flow Control unabhängig von der Stärke der externen Stimulation in der Lage ist, rekurrente Netze in einen für die Informationsverarbeitung optimalen Arbeitsbereich einzuregeln.
Bei dem zweiten betrachteten Modell handelt es sich um ein Neuronenmodell mit zwei Kompartimenten, welche der spezifischen Anatomie von Pyramidenneuronen im Kortex nachempfunden ist. Während ein basales Kompartiment synaptischen Input zusammenfasst, der in Dendriten nahe des Zellkerns auftritt, repräsentiert das zweite apikale Kompartiment die im Kortex anzutreffende komplexe dendritische Baumstruktur. In früheren Experimenten konnte gezeigt werden, dass eine zeitlich korrelierte Stimulation sowohl im basalen als auch apikalen Kompartiment eine deutlich höhere neuronale Aktivität hervorrufen kann als durch Stimulation nur einer der beiden Kompartimente möglich ist. In unserem Modell können wir zeigen, dass dieser Effekt der Koinzidenz-Detektion es erlaubt, den Input im apikalen Kompartiment als Lernsignal für synaptische Plastizität im basalen Kompartiment zu nutzen. Duale Homöostase kommt auch hier zum Tragen, da diese in beiden Kompartimenten sicherstellt, dass sich der synaptische Input hinsichtlich des zeitlichen Mittels und der Varianz in einem für den Lernprozess benötigten Bereich befindet. Anhand eines Lernszenarios, das aus einer linearen binären Klassifikation besteht, können wir zeigen, dass sich das beschriebene Framework für biologisch plausibles überwachtes Lernen eignet.
Die beiden betrachteten Modelle zeigen beispielhaft die Relevanz dualer Homöostase im Hinblick auf zwei Aspekte. Das ist zum einen die Regulation rekurrenter neuronaler Netze in einen dynamischen Zustand, der für Informationsverarbeitung optimal ist. Der Effekt der Adaption zeigt sich hier also im Verhalten des Netzwerks als Ganzes. Zum anderen kann duale Homöostase, wie im zweiten Modell gezeigt, auch für Plastizitäts- und Lernprozesse auf der Ebene einzelner Neuronen von Bedeutung sein. Während neuronale Homöostase im klassischen Sinn darauf beschränkt ist, Teile des Systems möglichst präzise auf einen gewünschten Mittelwert zu regulieren, konnten wir Anhand der diskutierten Modelle also darlegen, dass eine Kontrolle des Ausmaßes von Fluktuationen ebenfalls Einfluss auf die Funktionalität neuronaler Systeme haben kann.
Macroautophagy, herein referred to as autophagy, is an evolutionarily conserved homeostatic process that normally occurs inside eukaryotic cells which involves degradation of cytoplasmic substances via lysosomes. It can be induced by various conditions such as starvation and drug exposure, as well as be inhibited by numerous compounds. Under normal conditions, the doublemembrane autophagosomes engulf the cytosolic substrates and deliver them to lysosomes for digestion. These substrates include unnecessary or dysfunctional cell components, such as faulty macromolecules, organelles and even invading pathogens. Autophagosomes are formed through the co-operative work of various autophagy-related (ATG) proteins organized into complexes. Upon closure of the autophagosomes, they fuse with the acidic lysosomes, resulting in formation of autolysosomes and the delivery of lysosomal hydrolases to degrade the engulfed contents. The fusion of the autophagosome with lysosome is carried out by specific SNARE proteins, small GTPases and their effectors including tethers, adaptors and motor proteins. Autophagy is impaired in many human diseases including cancer, neurodegenerative diseases, aging and inflammation. Therefore, manipulation of autophagy pathway holds a great promise for new therapeutic applications ...
The visual system encompasses about 20% of the cerebral cortex1 and plays a pivotal role in higher-order cognitive processes such as attention and working memory. Cognitive impairments constitute a central role in neuropsychiatric disorders such as schizophrenia (SZ). Impairments are described in visual perceptual processes including contrast, and emotion discrimination as well as in the ability to identify visual irregularities and in higher-order cognition like visual attention and working memory. Furthermore, perceptual and higher-order cognitive processes are part of the Research Domain Criteria (RDoC) project that aims to develop dimensional and transdiagnostic constructs with defined links to specific brain circuits.Therefore, the detailed study of the visual system using functional magnetic resonance imaging (fMRI) is essential to understand the processes in healthy individuals but also in populations with neuropsychiatric disorders. Visual mapping techniques include functional localizer tasks to map functionally defined regions like the fusiform face area (FFA), retinotopic mapping to map specific brain regions that are retinotopically organized in full, and visual-field localizer paradigms to define circumscribed areas within retinotopically organized areas.Thus, the latter allow studying local information processing in early visual areas. Despite advances in neuroimaging techniques, analyses of fMRI data at the group-level are impeded by interindividual macroanatomical variability. This reduces the reliability to accurately define visual areas particularly at the group-level and decreases statistical power. Single-subject based solutions for this problem are not appropriate. Analyses after volume-based alignment (VBA) and primary surface-based analyses without macroanatomical alignment do not increase macroanatomical correspondence sufficiently. Cortex-based alignment (CBA) approaches are recommended as an alternative technique to address this obstacle. However, CBA has not been evaluated for visual-field localizer paradigms. Therefore, we aimed to evaluate potential benefits of CBA for an attention-enhanced visual field localizer paradigm that maps circumscribed regions in retinotopically organized visual areas. Since previous studies solely compared surface-based data before and after CBA, we aimed to compare all three techniques: (1) a volume-based alignment (VBA), (2) a surface-based data set without (SBAV) and (3) a surface- based data set with macroanatomical alignment (CBA). Furthermore, we sought to define regions of interest (ROI) that subsequently can be used for the study of higher-order cognitive processes. Also, we aimed to investigate whether CBA facilitates the study of functional asymmetries in early visual areas as these were described in previous studies. Healthy volunteers (n=50) underwent fMRI in a 3- Tesla Siemens Trio scanner while performing an attention-enhanced visual field localizer paradigm. Our task consisted of a series of flickering, black-and white colored checkerboard stimuli that randomly appeared at one of four locations comprising the participants’ visual quadrants. In 25% of the trials the centrally located squares briefly changed their color to yellow (target trial). Participants had to indicate detection of a target by button press. Data analysis was conducted using Brain Voyager 20.6. Our approach for macroanatomical alignment included a high-resolution, multiscale curvature driven alignment procedure minimizing interindividual macroanatomical variability. Here, each folding pattern was aligned to a dynamically updated group average. Thus, we counteracted a possible confounding effect of a suboptimal selection of an individual target brain with a folding pattern deviating considerably from the cohort average. Group ROIs after CBA showed increased spatial consistency, vertical symmetry, and an increase of size. This was corroborated by an increase in the probability of activation overlap of up to 86%. CBA increased macroanatomical correspondence and thus ameliorated results of multi-subject ROI analyses. Functional differences in the form of a downward bias in visual hemifields were measured with increased reliability. In summary, our findings provide clear evidence for the superiority of CBA for the study of local information processing in early visual cortex at the group-level. This approach is of relevance for the study of visual dysfunction in neuropsychiatric disorders including schizophrenia as they show impaired visual processing that in turn impacts higher-order cognitive processes and in consequence functional outcome. In addition, our attention-enhanced visual field localizer paradigm will be useful for machine learning approaches such as multivariate pattern analysis decoding local information processes and connectivity patterns.
Individualization can be defined as the adaptation of instructional parameters to relevant characteristics of a specific learner. This definition raises several questions, however: Which characteristics are actually relevant? Which parameters of instruction need to be adjusted, and in which way, to positively interact with those characteristics? In a classroom context, additional questions arise: how can information about the relevant learner characteristics be delivered to the teacher? How can individualized instruction be delivered to each learner in a context that has originally been designed for whole-class instruction? By focusing on the measurement and modelling of learner characteristics and instructional adaptations, this dissertation aims to provide an insight into each of these issues.
This dissertation is divided into two parts. The first part is concerned with the theoretical (Paper 1) and statistical (Paper 2) modeling of learner characteristics in the context of individualized instruction. The second part is concerned with the measurement (Paper 3) and implementation (Paper 4) of individualized instruction in the classroom context.
Paper 1 summarizes existing research on individualization from different research traditions. From this summary I derive the need for a dynamic conceptualization of learner characteristics (acknowledging that learners change during and in interaction with the learning process) and synthesize a dynamic framework that details the opportunities for individualization on three different timescales. Paper 2 reports results from an exploratory study that investigated the potential benefits of utilizing person-centered analysis for the assessment of multivariate learner prerequisites and their interaction with instruction. We found that latent profiles over several reading related abilities could explain differential effectiveness of self-reported teaching foci in German third grade reading lessons. These findings indicate not just a need for stronger individualization of teaching but also an advantage of multivariate conceptualizations of learner characteristics. Additionally, they show the utility of person-centered approaches for the investigation of such multivariate learner characteristics and their interaction with instruction.
In the second part, I investigate possible approaches to the implementation and measurement of individualization in a classroom context. Paper 3 investigates whether teacher-, student- and observer perspectives converge when rating the amount of individualization present in regular classroom instruction. We found considerable agreement between the perspectives, indicating a common understanding of the construct at the classroom level as well as providing some evidence for the validity of the used measurement instruments. Paper 4 replicates findings concerning the effectiveness of formative assessment procedures for fostering reading education, supplemented by a moderator analysis showing that only children with low performance at the beginning of the school-year profited from its implementation. This indicates that the information provided by formative assessment procedures helps teachers to identify struggling readers but does not seem to be utilized for adapting instruction to specific deficits of average or high performing children.
In sum, this dissertation contributes to research on individualized instruction by demonstrating necessary conditions for its effectiveness. It posits the need for a dynamic conceptualization of learner characteristics, demonstrates the advantage of multivariate learner profiles, and points out ways towards the successful implementation of individualized instruction in the classroom.
Standard cancer therapy research targets tumor cells while not considering the damage on the tumor microenvironment (TME) and its associated implications in impairing therapy response. Employing patients-derived organoids (PDOs) and matched stroma cells or a novel murine preclinical rectal cancer model of local radiotherapy, it was demonstrated that tumor cells-derived IL-1α polarizes cancer-associated fibroblasts towards an inflammatory (iCAFs) phenotype. While numerous studies in different tumor entities highlighted the molecular heterogeneity of CAFs, so far there are no clear findings on their functional heterogeneity and relevance in therapy resistance and response. The present study molecularly characterized iCAFs subpopulation among RCA patients as well as the preclinical mouse model and importantly unraveled the detailed molecular mechanism underlying their contribution to impair therapy response. Mechanistically, iCAFs were demonstrated to be characterized by an upregulation of nitric oxide synthase (iNOS) which triggered accumulation of reactive nitrogen species (RNS) and subsequently an oxidative DNA damage response (DDR). Such a baseline IL-1α-driven DNA damage further sensitized iCAFs to a p53-mediated therapy induced senescence (TIS) causing extensive extracellular matrix (ECM) changes and induction of senescence associated secretory phenotype (SASP) that favored tumor progression and hindered tumor cell death. Moreover, iCAFs reversibility and repolarization into more quiescent like phenotype was demonstrated upon IL-1 signaling inhibition by anakinra, a recombinant IL-1 receptor antagonist (IL1RA). Accordingly, treating mice with anakinra or specific deletion of Il1r1 in CAFs sensitized stroma-rich resistant tumors to chemoradiotherapy (CRT). Similarly, targeting CAFs senescence by senotherapy (venetoclax chemical) or employing Trp53 deficient mice reverted therapy resistance among non-responsive tumors in vivo by reducing ECM deposition and consequently favoring CD8+ T cells intratumoral infiltration posttherapy. Importantly, rectal cancer patients that do not completely respond to neoadjuvant therapy displayed an iCAFs senescence program post-CRT. Moreover, these patients presented a baseline increased CAFs content, a dominant iCAFs signature that correlated with poorer disease-free survival (DFS) and a significantly reduced circulating IL1RA serum levels. While reduced pretherapeutic IL1RN gene expression predicted poor prognosis among RCA patients, IL1RA serum levels were associated with rs4251961 (T/C) single nucleotide polymorphism (SNP) in the IL1RN gene. Finally, functional validation assays revealed that conditioned media of PDOs drove inflammatory polarization of fibroblasts and consequently rendered them sensitive to RNS-mediated DNA damage and TIS. Collectively, the study highlighted a crucial and novel role of a CAFs subset, iCAFs, in therapy resistance among RCA patients, shedding light on their functional relevance by identifying IL-1 signaling as an appealing target for their repolarization and successful targeting. Therefore, it makes sense to combine the newly demonstrated and thoroughly proven therapeutic approach of targeting IL-1 signaling in combination with conventional CRT and possibly immunotherapy. This might have a major impact on RCA therapy and be of immense relevance for other stroma-rich tumors.
This work investigated the influence of the CRISPR/Cas9 mediated knockout of 5-lipoxygenase (5-LO) on different adherent tumour cell lines derived from solid tumours. For this, the 5-LO expressing tumour cell lines HCT-116, HT-29, and U-2 OS were transiently transfected using a plasmid carrying the CRISPR/Cas9 complex sequence to the ALOX5 gene. Subsequently, cells were selected using Puromycin and analysed via Western blotting and DNA Sanger sequencing. Cells that were transfected with a control plasmid missing the guide RNA sequence, were used as a control for all experiments.
Differential gene expression analysis, performed after next-generation RNA sequencing, revealed that the expression of various genes was altered after the knockout of 5-LO. In HCT-116 cells, 28 genes were expressed differentially in all 5-LO knockout single-cell clones, while in HT-29 cells the expression of 18 genes and in U-2 OS cells of 234 genes was influenced by the knockout of 5-LO. These findings were validated by real-time qPCR. A lot of the genes that were influenced by the 5-LO knockout are known to be connected to epithelial-mesenchymal-transition (EMT), a process necessary for tumour metastasis. The results from RNA sequencing were the starting point for further investigations. In the following, different aspects of the tumour cell lines were examined. In HT-29, as
well as in U-2 OS cells, it was shown that knockout of the 5-LO resulted in impaired cell proliferation. Also, the formation of three-dimensional tumour spheroids was altered. In HT-29 cells, the knockout of 5-LO increased the number of cells in spheroids. In contrast, in U-2 OS cells, the number of cells per spheroid was decreased, even though the diameter of the spheroids was increased, due to more loosely packed spheroids. The difference between 5-LO positive and negative U-2 OS cells became even more obvious after embedding the spheroids in an artificial extracellular matrix. In that scenario, cells lacking the 5-LO formed smaller spheroids that did not have the same ability to grow into the extracellular matrix as 5-LO positive cells did. Also, directed cell migration was strongly influenced by the knockout of 5-LO. In both, HCT-116 and U-2 OS cells, directed cell migration towards a serum gradient was increased in 5-LO knockout single-cell clones. Pharmacological inhibition of the enzyme was used to investigate, whether canonical or non-canonical functions were responsible for the previously mentioned effects.
Therefore, vector control cells were treated with the 5-LO inhibitors Zileuton and CJ-13610 in different concentrations. Interestingly, only some of the effects mediated by the complete knockout of 5-LO could be reproduced by inhibiting the enzyme, leading to the suggestion, that canonical, as well as non-canonical functions of 5-LO, play a role in these tumour cells.
To conclude, it was shown in this study, that 5-LO affects various cellular functions when expressed in adherent tumour cell lines. These cell line-dependent effects result in altered gene expression, enhanced proliferation, and spheroid formation, as well as impaired cell motility, and can be mediated by enzymatic activity as well as other non-canonical functions.
Interleukin-11 signaling is a global molecular switch between regeneration and scarring in zebrafish
(2022)
The two diametrically opposing outcomes after tissue damage are regeneration and fibrotic scarring. After injury, adult mammals predominantly induce fibrotic scarring, which most often leads to patient lethality. Fibrotic scarring is the deposition of excessive extracellular matrix that matures and hinders tissue function. The scarring response is mainly orchestrated by myofibroblasts, which arise only upon tissue damage, from various cellular origins, including tissue resident fibroblasts, endothelial cells and circulating blood cells. On the contrary, species like zebrafish, possess the remarkable capacity to regenerate their damaged tissues. After injury, instead of inducing a myofibroblast-mediated fibrogenic gene program, cells in these species undergo regenerative reprogramming at the transcriptional level to activate vital cellular processes needed for regeneration, including proliferation, dedifferentiation, and migration. Several pro-regenerative mechanisms have been identified to date. Most of them, if not all, are also important for tissue homeostasis and hence, are not injury specific. Therefore, the central aim of this study is to identify injury-specific mechanisms that not only induce regeneration, but also limit fibrotic scarring.
To test the notion that fibrotic scarring limits regeneration, I first compared the scarring response in the regenerative zebrafish heart after cryoinjury with what is known in the non-regenerative adult mouse heart. I found that zebrafish display ~10-fold less myofibroblast differentiation compared to adult mouse after cardiac injury. With these findings, I hypothesized that zebrafish employ mechanisms to actively suppress scarring response. Using a novel comparative transcriptomic approach coupled with genetic loss-of-function analyses, I identified that Interleukin-6 (Il-6) cytokine family-mediated Stat3 is one such pro-regenerative pathway in zebrafish.
Il-6 cytokine family consists of Il-6, Interleukin-11 (Il-11), Ciliary neurotrophic factor, Leukemia inhibitory factor, Oncostatin M, and Cardiotrophin-like cytokine factor 1. Il-6 family ligands signal through their specific receptors and a common receptor subunit (Il6st or Gp130). Using gene expression analyses after adult heart and adult caudal fin injuries in zebrafish, I identified that both the Il-11 cytokine encoding paralogous genes (il11a and il11b) are the highest expressed and induced among the Il-6 family cytokines. Hence, I chose Il-11 signaling as a candidate pathway for further analysis. To investigate the role of Il-11 signaling, I generated genetic loss-of-function mutants for both the ligand (il11a and il11b) and the receptor (il11ra) encoding genes. Using various tissue regeneration models across developmental stages in these mutants, I identified that Il-11/Stat3 signaling is indispensable for global tissue regeneration in zebrafish.
To investigate the cellular and molecular mechanisms by which Il-11 signaling promotes regeneration, I performed transcriptomics comparing the non-regenerative il11ra mutant hearts and fins with that of the wild types, respectively. I identified that Il-11 signaling orchestrates both global and tissue-specific aspects of regenerative reprogramming at the transcriptional level. In addition, I also found that impaired regenerative reprogramming in the il11ra mutant hearts and fins resulted in defective cardiomyocyte and osteoblast repopulation of the injured area, respectively.
On the other hand, by deep phenotyping the scarring response in il11ra mutant hearts and fins, I identified that Il-11 signaling limits myofibroblast differentiation. Furthermore, I found that cardiac endothelial cells and fibroblasts are one of the major responders to injury-induced Il-11 signaling. Using lineage tracing, I found that both the endothelial and fibroblast lineages in the non-regenerative il11ra mutants commit to a myofibroblast fate, spearheading the scarring response. In addition, using cell type specific manipulations, I showed that Il-11 signaling in cardiac endothelial cells allows cardiomyocyte repopulation of the injured area. Finally, using human endothelial cells in culture, I uncovered a novel feedback mechanism by which Il-11 signaling limits fibrogenic gene expression by inhibiting its parent activator and a master regulator of tissue fibrosis, TGF-β signaling.
Overall, I identified Interleukin-11/Stat3 signaling as the first global regulator of regeneration in zebrafish. Briefly, I showed that Interleukin-11 signaling promotes regeneration by regulating two crucial cellular aspects in response to injury – (1) it promotes regenerative reprogramming, thereby allowing cell repopulation of the injured area and (2) it limits mammalian-like fibrotic scarring by inhibiting myofibroblast differentiation and TGF-β signaling. Altogether, these zebrafish data, together with the contradicting mammalian data strongly indicate that the secrets of tissue regeneration lie downstream of IL-11 signaling, in the differences between regenerative and non-regenerative species. Furthermore, I establish the non-regenerative il11ra mutant as an invaluable zebrafish model to study mammalian tissue fibrosis.
The main task of modern large experiments with heavy ions, such as CBM (FAIR), STAR (BNL) and ALICE (CERN) is a detailed study of the phase diagram of quantum chromodynamics (QCD) in the quark-gluon plasma (QGP), the equation of state of matter at extremely high baryonic densities, and the transition from the hadronic phase of matter to the quark-gluon phase.
In the thesis, the missing mass method is developed for the reconstruction of short-lived particles with neutral particles in their decay products, as well as its implementation in the form of fast algorithms and a set of software for prac- tical application in heavy ion physics experiments. Mathematical procedures implementing the method were developed and implemented within the KF Par- ticle Finder package for the future CBM (FAIR) experiment and subsequently adapted and applied for processing and analysis of real data in the STAR (BNL) experiment.
The KF Particle Finder package is designed to reconstruct most signal particles from the physics program of the CBM experiment, including strange particles, strange resonances, hypernuclei, light vector mesons, charm particles and char- monium. The package includes searches for over a hundred decays of short-lived particles. This makes the KF Particle Finder a universal platform for short-lived particle reconstruction and physics analysis both online and offline.
The missing mass method has been proposed to reconstruct decays of short-lived charged particles when one of the daughter particles is neutral and is not regis- tered in the detector system. The implementation of the missing mass method was integrated into the KF Particle Finder package to search for 18 decays with a neutral daughter particle.
Like all other algorithms of the KF Particle Finder package, the missing mass method is implemented with extensive use of vector (SIMD) instructions and is optimized for parallel operation on modern many-core high performance com- puter clusters, which can include both processors and coprocessors. A set of algorithms implementing the method was tested on computers with tens of cores and showed high speed and practically linear scalability with respect to the num- ber of cores involved.
It is extremely important, especially for the initial stage of the CBM experiment, which is planned for 2025, to demonstrate already now on real data the reliability of the developed approach, as well as the high efficiency of the current implemen- tation of both the entire KF Particle Finder package, and its integral part, the missing mass method. Such an opportunity was provided by the FAIR Phase-0 program, motivating the use in the STAR experiment of software packages orig- inally developed for the CBM experiment.
Application of the method to real data of the STAR experiment shows very good results with a high signal-to-background ratio and a large significance value. The results demonstrate the reliability and high efficiency of the missing mass method in the reconstruction of both charged mother particles and their neutral daughter particles. Being an integral part of the KF Particle Finder package, now the main approach for reconstruction and analysis of short-lived particles in the STAR experiment, the missing mass method will continue to be used for the physics analysis in online and offline modes.
The high quality of the results of the express data analysis has led to their status as preliminary physics results with the right to present them at international physics conferences and meetings on behalf of the STAR Collaboration.