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This thesis contains three theoretical works about certain aspects of the interplay of electronic correlations and topology in the Hubbard model.
In the first part of this thesis, the applicability of elementary band representations (EBRs) to diagnose interacting topological phases, that are protected by spatial symmetries and time-reversal-symmetry, in terms of their single-particle Matsubara Green’s functions is investigated. EBRs for the Matsubara Green’s function in the zero-temperature limit can be defined via the topological Hamiltonian. It is found that the Green’s function EBR classification can only change by (i) a gap closing in the spectral function at zero frequency, (ii) the Green’s function becoming singular i.e. having a zero eigenvalue at zero frequency or (iii) the Green’s function breaking a protecting symmetry. As an example, the use of the EBRs for Matsubara Green’s functions is demonstrated on the Su-Schriefer-Heeger model with exact diagonalization.
In the second part the Two-Particle Self-Consistent approach (TPSC) is extended to include spin-orbit coupling (SOC). Time-reversal symmetry, that is preserved in the presence of SOC, is used to derive new TPSC self-consistency equations including SOC. SOC breaks spin rotation symmetry which leads to a coupling of spin and charge channel. The local and constant TPSC vertex then consists of three spin vertices and one charge vertex. As a test case to study the interplay of Hubbard interaction and SOC, the Kane-Mele-Hubbard model is studied. The antiferromagnetic spin fluctuations are the leading instability which confirms that the Kane-Mele-Hubbard model is an XY antiferromagnet at zero temperature. Mixed spin-charge fluctuations are found to be small. Moreover, it is found that the transversal spin vertices are more strongly renormalized than the longitudinal spin vertex, SOC leads to a decrease of antiferromagnetic spin fluctuations and the self-energy shows dispersion and sharp features in momentum space close to the phase transition.
In the third part TPSC with SOC is used to calculate the spin Hall conductivity in the Kane-Mele-Hubbard model at finite temperature. The spin Hall conductivity is calculated once using the conductivity bubble and once including vertex corrections. Vertex corrections for the spin Hall conductivity within TPSC corresponds to the analogues of the Maki-Thompson contributions which physically correspond to the excitation and reabsorption of a spin, a charge or a mixed spin-charge excitation by an electron. At all temperatures, the vertex corrections show a large contribution in the vicinity of the phase transition to the XY antiferromagnet where antiferromagnetic spin fluctuations are large. It is found that vertex corrections are crucial to recover the quantized value of −2e^2/h in the zero-temperature limit. Further, at non-zero temperature, increasing the Hubbard interaction leads to a decrease of the spin Hall conductivity. The results indicate that scattering of electrons off antiferromagnetic spin fluctuations renormalize the band gap. Decreasing the gap can be interpreted as an effective increase of temperature leading to a decrease of the spin Hall conductivity.
Trait-dependent effects of biotic and abiotic filters on plant regeneration in Southern Ecuador
(2024)
Tropical forests have always fascinated scientists due to their unique biodiversity. However, our understanding of ecological processes shaping the complexity of tropical rainforests is still relatively poor. Plant regeneration is one of the processes that remain understudied in the tropics although this is a key process defining the structure, diversity and assembly of tropical plant communities. In my dissertation, I combine experimental, observational and trait-based approaches to identify processes shaping the assembly of seedling communities and compare associations between environmental conditions and plant traits across plant life stages. By working along a steep environmental gradient in the tropical mountains of Southern Ecuador, I was able to investigate how processes of plant regeneration vary in response to biotic and abiotic factors in tropical montane forests.
My dissertation comprises three complementary chapters, each addressing an individual research question. First, I studied how trait composition in plant communities varies in relation to the broad- and local-scale environmental conditions and across the plant life cycle. I measured key traits reflecting different ecological strategies of plants that correspond to three stages of the plant life cycle (i.e., adult trees, seed rain and recruiting seedlings). I worked on 81 subplots along an elevational gradient covering a large climatic gradient at three different elevations (1000, 2000 and 3000 m a.s.l.). In addition, I measured soil and light conditions at the local spatial scale within each subplot. My findings show that the trait composition of leaves, seeds and seedlings changed similarly across the elevational gradient, but that the different life stages responded differently to the local gradients in soil nutrients and light availability. Consequently, my findings highlight that trait-environment associations in plant communities differ between large and small spatial scales and across plant life stages.
Second, I investigated how seed size affects seedling recruitment in natural forests and in pastures in relation to abiotic and biotic factors. I set up a seed sowing experiment in both habitat types and sowed over 8,000 seeds belonging to seven tree species differing in seed size. I found that large-seeded species had higher proportions of recruitment in the forests compared to small-seeded species. However, small-seeded species tended to recruit better in pastures compared to large-seeded species. I showed that high surface temperature was the main driver of differences in seedling recruitment between habitats, because it limited seedling recruitment of large-seeded species. The results from this experiment show that pasture restoration requires seed addition of large-seeded species and active protection of recruiting seedlings in order to mitigate harmful conditions associated with high temperatures in deforested areas.
Third, I examined the associations between seedling beta-diversity and different abiotic and biotic factors between and within elevations. I applied beta-diversity partitioning to obtain two components of beta-diversity: species turnover and species richness differences. I associated these components of beta-diversity with biotic pressures by herbivores and fungal pathogens and environmental heterogeneity in light and soil conditions. I found that species turnover in seedling communities was positively associated with the dissimilarity in biotic pressures within elevations and with environmental heterogeneity between elevations. Further, I found that species richness differences increased primarily with increasing environmental heterogeneity within elevations. My findings show that the associations between beta-diversity of seedling communities and abiotic and biotic factors are scale-dependent, most likely due to differences in species sorting in response to biotic pressures and species coexistence in response to environmental heterogeneity.
My dissertation reveals that studying processes of community assembly at different plant life stages and spatial scales can yield new insights into patterns and processes of plant regeneration in tropical forests. I investigated how community assembly processes are governed by abiotic and biotic filtering across and within elevations. I also experimentally explored how the process of seedling recruitment depends on seed size-dependent interactions, and verified how these effects are associated with abiotic and biotic filtering. Identifying such processes is crucial to inform predictive models of environmental change on plant regeneration and successful forest restoration. Further exploration of plant functional traits and their associations with local-scale environmental conditions could effectively support local conservation efforts needed to enhance forest cover in the future and halt the accelerating loss of biodiversity.
This thesis develops a naturalist theory of phenomenal consciousness. In a first step, it is argued on phenomenological grounds that consciousness is a representational state and that explaining consciousness requires a study of the brain’s representational capacities. In a second step, Bayesian cognitive science and predictive processing are introduced as the most promising attempts to understand mental representation to date. Finally, in a third step, the thesis argues that the so-called “hard problem of consciousness” can be resolved if one adopts a form of metaphysical anti-realism that can be motivated in terms of core principles of Bayesian cognitive science.
Thomas Bowrey, who was an employee of the British colonial government, visited the Malay-speaking region at the end of the 17th century and published a dictionary of Malay (1701) which consists of 12,683 headwords. It is one of the oldest and largest collections of data on this language, which was the first language of the people he came into contact with while travelling through the Malay Peninsula, spending most of his time in harbours along its west coast. Malay, which was spoken in the various trading centres of this area (e.g. Penang, Malacca), had long previously begun to develop into a form of lingua franca during Bowrey’s stay there due to the fact that traders, especially those from Arabic countries (beginning in the 12th century), China (from the 15th century onwards), Portugal (since 1511), the Netherlands (since 1641), and less so from England, came into contact with Malays speaking their local dialects in the various trading posts in Malaya and probably began to become acquainted with the trade-language variant. Thus, Bowrey must have observed and recorded elements of both.
The data he collected is not limited to Malay variants spoken in coastal areas, but includes material from dialects which he encountered during his travels throughout the Malay Peninsula, though without, however, describing the locations in which he took notes on the lexicon and clauses. Not all of his material was written into manuscript form during his stay in Southeast Asia. A large part of his notes taken in situ were prepared for publication during his long journey home. His notes, which were used to print his dictionary, are in part kept in British libraries. Most of the material accessible to the public was studied during the preparation of this thesis.
Earlier works on this dictionary are quite limited in scope. They deal with very specific aspects such as the meanings of headwords found between the letters A and C (Rahim Aman, 1997 & 1998), and the work of Nor Azizah, who deals with the lexical change found in Bowrey’s dictionary between D and F, and syntactic and sociolinguistic aspects (Mashudi Kader, 2009), and collective nouns by Tarmizi Hasrah (2010). This study will discuss Bowrey’s dictionary as a whole in order to describe its contribution to our knowledge of linguistic and non-linguistic facts in 17th century Malaya. Besides analysing Malay synchronically, this thesis also deals with historical-comparative questions and asks whether Bowrey contributes to our knowledge of the changes to the Malay language between the 17th and 21st centuries.
In order to answer the research questions, this study not only relies on the dictionary in its entirety, but also on the notes found in British libraries as well as other material on early Malay, such as the Pigafetta list (1523), Houtman (1598–1603), and the Wilkinson dictionary (1901) as a complement to Bowrey’s dictionary; at the same time, the Malay Concordance Project (online), the SEAlang Project (online), Kamus Besar Bahasa Indonesia (online), and Kamus Dewan Edisi Keempat (2007) will represent modern Malay. It should be borne in mind that in contrast to the Thomas Bowrey dictionary (TBD), Kamus Dewan Edisi Keempat (KDE4) does not hold information on colloquial forms of Malay, many of which reflect features of lingua franca Malay. This study is divided into two different branches, namely the consideration of synchronic aspects and historical comparative aspects.
Finally, this study concludes that the Malay language in Thomas Bowrey’s dictionary is heavily influenced by both external and internal factors prevalent to the 17th century. The Malay language recorded in the Thomas Bowrey dictionary is very similar to modern Malay. The similarities between the Malay language of the 17th century and the Malay language of today are considerable, even though there are, of course, still some notable variances.
A powerful technique to distinguish the enantiomers of a chiral molecule is the Coulomb Explosion Imaging (CEI). This technique allows us to determine the handedness of a single molecule. In CEI, the molecule becomes charged by losing many electrons in a very short period of time by interacting with the light. The repulsion forces between the positive charged particles of the molecule leads the molecule to break into parts-fragments. By measuring the three vector momentum of (at least) four fragments, the handedness observable can be determined. In this thesis, CEI is induced by absorption of a single high energy photon, which creates an inner-shell hole (K shell) of the molecule. The subsequent cascade of Auger decays lead to fragmentation. We decided to work with the formic acid molecule in this thesis. Two different experiments were conducted. The first experiment focused on exciting electrons to different energy states, while the second experiment focused on extracting directly a photoelectron to the continuum and measure the angular distribution of the photoelectron in the molecular frame. The primary goal was to search for chiral signal in a pure achiral planar molecule under the previous electron processes. The results of these findings were further implemented to two more molecules.
Der Hirntumor Glioblastom (GBM) ist aufgrund seines infiltrativen Wachstums, der hohen intra- und intertumoralen Heterogenität, der hohen Therapieresistenz als auch aufgrund der sogenannten gliomartigen Stammzellen sehr schwer zu behandeln und führt fast immer zu Rezidiven. Da es in den letzten Jahrzehnten kaum Fortschritte in der Behandlung des GBMs gab, bis auf die Therapie mit Tumortherapiefeldern, wird weiterhin nach alternativen Zelltodtherapien geforscht, wie zum Beispiel dem Autophagie-abhängigen Zelltod. Der Autophagie-abhängige Zelltod ist durch einen erhöhten autophagischen Flux gekennzeichnet und obwohl die Autophagie, als auch selektive Formen wie die Lysophagie und Mitophagie, normalerweise als überlebensfördernde Mechanismen gelten, konnten viele Studien eine duale Rolle in der Tumorentstehung, -progression und -behandlung aufzeigen, die vor allem vom Tumortyp und stadium abhängt. Um die zugrunde liegenden Mechanismen des durch Medikamente induzierten Autophagie-abhängigen Zelltods im GBM weiter zu entschlüsseln, habe ich in meiner Dissertation verschiedene Substanzen untersucht, die einen Autophagie-abhängigen Zelltod induzieren.
In einer zuvor in unserem Labor durchgeführten Studie konnte gezeigt werden, dass das Antipsychotikum Pimozid (PIMO) und der Opioidrezeptor-Antagonist Loperamid (LOP) einen Autophagie-abhängigen Zelltod in GBM Zellen induzieren können. Darauf aufbauend habe ich die Fähigkeit zur Induktion des Autophagie-abhängigen Zelltods in weiteren Zellmodellen validiert. Dies bestätigte einen erhöhten autophagischen Flux nach PIMO und LOP Behandlung, während der Zelltod als auch der autophagische Flux in Autophagie-defizienten Zellen reduziert war. In weiteren Versuchen konnte ich die Involvierung der LC3-assoziierten Phagozytose (LAP), ein Signalweg der auf die Funktion einiger autophagischer Proteine angewiesen ist, ausschließen. Weiterhin konnte ich eine massive Störung des Cholesterin- und Lipidstoffwechsels beobachten. Unter anderem akkumulierte Cholesterin in den Lysosomen gefolgt von massiven Schäden des lysosomalen Kompartiments und der Permeabiliserung der lysosomalen Membran. Dies trug einerseits zur Aktivierung überlebensfördernder Lysophagie als auch der Zell-schädigenden „Bulk“-Autophagie bei. Letztendlich konnte aber die erhöhte Lysophagie die Zellen nicht vor dem Zelltod retten und die Zellen starben einen Autophagie-abhängigen lysosomalen Zelltod. Da die Eignung von LOP als Therapie für das GBM aufgrund der fehlenden Blut-Hirn-Schranken Permeabilität und von dem Antipsychotikum PIMO aufgrund teils schwerer Nebenwirkungen eingeschränkt ist, habe ich mich im weiteren Verlauf meiner Dissertation mit einer Substanz mit einem anderen Wirkmechanismus beschäftigt.
Der Eisenchelator und oxidative Phosphorylierungs (OXPHOS) Inhibitor VLX600 wurde zuvor berichtet mitochondriale Dysfunktion und Zelltod in Kolonkarzinomzellen zu induzieren. Allerdings hat meines Wissens nach bisher noch keine Studie die therapeutische Eignung von VLX600 für das GBM untersucht. Hier zeige ich eine neuartige Autophagie-abhängige Zelltod-induzierende Fähigkeit von VLX600 für GBM Zellen, da der Zelltod signifikant in Autophagie-defizienten Zellen aber nicht durch Caspase-Inhibitoren gehemmt wurde und der autophagische Flux erhöht war. Darüber hinaus konnte ich die Hemmung der OXPHOS und die Induktion von mitochondrialem Stress in GBM Zellen bestätigen und weiterhin aufzeigen, dass VLX600 nicht nur die mitochondriale Homöostase stört, sondern auch zu einer BNIP3-BNIP3L-abhängigen Mitophagie führt, die wahrscheinlich durch HIF1A reguliert wird aber keinen erkennbaren Nettoeffekt auf den von VLX600 induzierten Zelltod hat. Demnach induziert VLX600 letale „Bulk“-Autophagie in den hier verwendeten Zellmodellen. Darüber hinaus konnte ich zeigen, dass die Eisenchelatierung durch VLX600 eine große Rolle für den von VLX600-induzierten Zelltod spielt aber auch für die Mitophagie Induktion, Histon Lysin Methylierung und den ribosomalen Stress. Letztendlich ist es wahrscheinlich ein Zusammenspiel all dieser Faktoren, die zur Zelltodinduktion durch VLX600 führen und interessanterweise werden Eisenchelatoren bereits in präklinischen und klinischen Studien für Krebstherapien untersucht. Dabei könnten gewisse metabolische Eigenschaften verschiedener Tumorzellen die Sensitivität von Wirkstoffen, die auf den Metabolismus wirken wie VLX600, beeinflussen was in zukünftigen Studien beachtet werden sollte um den bestmöglichsten Therapieerfolg zu erzielen. Zusammenfassend unterstützt meine Dissertation die duale Rolle der Autophagie, die stark vom jeweiligen Kontext abhängt und befürwortet die weitere Forschung von Substanzen, die einen Autophagie-abhängigen Zelltod induzieren, für das GBM.
Chronische Entzündungen und die daraus resultierenden Morbiditäten gehören zu den häufigsten Ursachen für einen frühen Tod beim Menschen. Einer der Hauptfaktoren für die Verschlechterung des Gesundheitszustands bei Patienten mit chronischen-entzündlichen Erkrankungen ist die pathologische Infiltration von Leukozyten in gesundes Gewebe, die zu Gewebeschäden und dem Fortschreiten der Krankheit führt. Das vaskuläre Endothel, das die Innenseite der Blutgefäße auskleidet, spielt eine entscheidende Rolle bei der Entzündungsreaktion, da es als Schnittstelle für die Interaktion mit Leukozyten fungiert, um die Extravasation von Leukozyten aus dem Blutstrom in das Gewebe zu ermöglichen. Die Adhäsion von Leukozyten an die Zellen des Endothels wird dabei hauptsächlich durch die von Zytokinen ausgelösten pro-inflammatorischen NFκB- und AP-1-Signalkaskaden ermöglicht, die die Hochregulierung der wichtigsten endothelialen Adhäsionsmoleküle – ICAM-1, VCAM-1 und E-Selektin – bewirken. Eine Klasse von Wirkstoffen, die für ihre entzündungshemmenden Eigenschaften und ihren Nutzen bei der Behandlung chronischer Entzündungskrankheiten bekannt sind, sind die Mikrotubuli-bindenden-Substanzen (microtubule-targeting-agents; MTAs), die nachweislich auch den Entzündungszustand in den Zellen des Endothels und die Leukozyten-Adhäsionskaskade beeinflussen können. MTAs lassen sich in Mikrotubuli-Destabilisatoren, die eine Depolymerisation des Mikrotubuli-Zytoskeletts bewirken, und Mikrotubuli-Stabilisatoren, die die Depolymerisation der Mikrotubuli verhindern, unterteilen. Die zugrundeliegenden biomolekularen Vorgänge und Wirkungen, die die MTAs auf die Zellen des Gefäßendothels haben, und wie sie die Adhäsionskaskade der Leukozyten beeinflussen, sind jedoch weitgehend unbekannt.
Ziel dieser Studie war es, die Auswirkungen des neuartigen Mikrotubuli-Destabilisators Prätubulysin, eines Vorläufers der Tubulysine, die ursprünglich in Stämmen des Myxobakteriums Angiococcus disciformis entdeckt wurden, auf die entzündlichen Prozesse zu untersuchen, die die Leukozyten-adhäsion in TNF-aktivierten primären Endothelzellen aus der menschlichen Nabelschnurvene (HUVECs) ermöglichen. Zusätzlich wurden auch die Auswirkungen der bereits klinisch etablierten Mikrotubuli-Destabilisatoren Colchicin und Vincristin sowie des Mikrotubuli-Stabilisators Paclitaxel untersucht.
Das entzündungshemmende Potenzial von Prätubulysin wurde daher zunächst in vivo in einem Imiquimod-induzierten psoriasiformen Dermatitis-Mausmodell getestet, wobei sich zeigte, dass Prätubulysin den Entzündungszustand deutlich verringert. Um zu beweisen, dass der entzündungshemmende Effekt mit einer verringerten Interaktion von Leukozyten mit dem Endothel zusammenhängt, wurde die Wirkung von Prätubulysin in vivo mittels Intravitalmikroskopie des TNF-aktivierten Kremaster-Muskels der Maus untersucht. Dabei zeigte sich, dass die Behandlung mit Prätubulysin zu einer signifikant verringerten Adhäsion von Leukozyten an die Zellen des Gefäßendothels führte. Die verringerte Adhäsion von Leukozyten an Endothelzellen wurde auch in der in vitro Umgebung bestätigt, indem die Adhäsion von Leukozyten unter Flussbedingungen getestet wurde. Mittels Durchflusszytometrie, Western-Blot-Analyse, sowie qRT-PCR-Analyse der jeweiligen mRNA-Level konnte gezeigt werden, dass die verringerten Leukozyten-Interaktionen auf der verringerten Expression der Zelladhäsionsmoleküle ICAM-1 und VCAM-1 sowie teilweise von E-Selektin nach Behandlung mit Prätubulysin, Vincristin und Colchicin beruhen, wobei Paclitaxel keine signifikanten hemmenden Auswirkungen hatte. Weitere Untersuchungen des Einflusses von Prätubulysin auf die NFκB- und AP-1-Signalübertragung zeigten, dass diese intrazellulären Signalkaskaden durch Prätubulysin nicht behindert werden, wobei NFκB und AP-1 weitgehend in den Promotoren der Zelladhäsionsmoleküle angereichert waren, wie durch Chromatin-Immunpräzipitation nachgewiesen wurde. Darüber hinaus induzierte die Behandlung mit Prätubulysin die Aktivität der NFκB-induzierenden Kinase IKK und führte zu einem signifikanten Anstieg der Aktivität der AP-1 Upstream-Kinase JNK, wie eine Western Blot Analyse ergab. Die Prüfung der Transkriptionsaktivität von NFκB und AP-1 in Reportergen Assays zeigte, dass insbesondere die Mikrotubuli-Destabilisatoren die Promotoraktivität dieser Transkriptionsfaktoren in einer konzentrationsabhängigen Weise verringerten. Weitere Tests zur Abhängigkeit der durch Prätubulysin induzierten Hemmung der Zelladhäsionsmoleküle von der Aktivität der JNK zeigten, dass die Hemmung empfindlich auf die Aktivität dieser Kinase reagiert. Es konnte gezeigt werden, dass die Inhibition der Aktivität der JNK die Expression der Zelladhäsionsmoleküle durch die Behandlung mit Prätubulysin auf mRNA und Proteinebene wiederherstellt. Mit Hilfe der Chromatin-Immunpräzipitation konnte weiterhin gezeigt werden, dass die Behandlung mit Prätubulysin zunächst die Assoziation des Bromodomänen-enthaltenden Proteins 4 mit den Promotoren/Genen von ICAM-1 und VCAM-1 erhöhte, aber zu einem behandlungszeitabhängigen Rückgang der Anreicherung führte. Darüber hinaus wurde durch die Behandlung mit Prätubulysin auch der Abbau dieses Proteins leicht erhöht. Durch den Einsatz eines JNK Inhibitors konnte gezeigt werden, dass die Verdrängung des Bromodomänen-enthaltenden Proteins 4 von icam-1 und vcam-1, sowie der erhöhte Abbau dieses Faktors auch von der Aktivität der JNK abhängig sind. Die Verdrängung des Bromodomänen-enthaltenden Proteins 4 induzierte auch das Vorhandensein von repressiven Chromatinmarkierungen in den Genen von ICAM-1 und VCAM-1. Die Prüfung der Anreicherung der RNA-Polymerase II an den Promotoren/Genen von ICAM-1 und VCAM-1 zeigte jedoch auch eine behandlungszeitabhängige differentielle Anreicherung dieser Polymerase, wobei die Anreicherung nach kurzen Behandlungszeiten reduziert war, sich nach mittleren Behandlungszeiten erholte und nach längeren Behandlungszeiten wieder stark reduziert war. Die anschließende Prüfung der Bedeutung des Bromodomänen-enthaltenden Proteins 4 für die Expression von ICAM-1 und VCAM-1 durch Knock-down-Experimente ergab, dass das vcam-1 Gen durch Knock-down dieses Proteins unterdrückt, das icam-1 Gen jedoch induziert wird. Dies deutet auf das Vorhandensein zusätzlicher Faktoren hin, die auch auf die Aktivität der JNK reagieren und neben dem Bromodomänen-enthaltenden Proteins 4 die Transkriptionsverlängerung des icam-1 Gens bewirken.
Research on the human and animal microbiome has become increasingly important in recent years. It is now widely accepted the gut microbiome is of crucial importance to health, as it is involved in a large number of physiological processes. The term ‘microbiome’ refers to the all living microorganisms including their genes and metabolites in a defined environment, while the specific composition of microorganisms consisting of bacteria, archaea and protozoa is referred to as the ‘microbiota’ (Lane-Petter, 1962; Lederberg and McCray, 2001).
In recent years, research has focused on various of these communities in the soil (Fierer, 2017), water (Sunagawa et al., 2015), air (Leung et al., 2014) and especially in the human gut. However, this topic is also becoming increasingly relevant for the conservation of endangered species. In the face of global mass extinctions and the listing of over 42,000 animal species as ‘critically endangered’, conservation breeding programmes are more important than ever (Díaz et al., 2019; IUCN, 2022). The responsibility for these tasks lies with zoological institutions, which are dedicated to animal conservation and the continuous monitoring of animal welfare. Microbiome research offers a non-invasive method to support species conservation. By analysing faecal samples, microbial markers can be identified that provide important information about the health status and reproductive cycle of animals (Weingrill et al., 2004; Antwis et al., 2019). Zoological facilities also provide an ideal research environment for comparing individuals from different habitats. In addition, all necessary metadata such as age, sex, kinship or medical treatment are documented and can be used for the analysis.
This is the starting point for this thesis. In order to identify such microbial markers, it is necessary to understand the microbiome of a variety of animal species. The first aim is therefore to characterise the faecal microbiota of 31 mammalian species, focusing on herbivores and carnivores. It could be shown that they differ significantly in terms of both microbial diversity and microbiota composition. Herbivorous species express a very diverse microbial composition, consisting mainly of cellulose-degrading taxa of the families Fibrobacteraceae or Spirochaetaceae. In contrast, the microbiota of carnivorous species is less diverse and is dominated by protein-degrading Fusobacteriaceae and Clostridiaceae. In addition, this thesis proves that the microbiota of herbivorous species is highly consistent, whereas the microbiota of carnivorous species is highly variable. The results of this study provide important insights for the sampling scheme of future projects. Especially when analysing carnivorous species, single samples are not sufficient to capture the full variability of the microbiome.
These results lead to the question of whether this variability can be explained by daily fluctuations in the individual microbiome and whether this can be used to distinguish between species or individuals. Using individual longitudinal data and a combined approach of clustering algorithms and dynamic time warping, it is shown that such a distinction is possible at the species and individual level. This was confirmed for both a carnivorous (Panthera tigris) and a herbivorous (Connochaetes taurinus) species. These results confirm the influence of the host individual on the faecal microbiota, in addition to the often described influence of diet (Ley et al., 2008a; Kartzinel et al., 2019).
Based on the knowledge gained from these studies, a methodology has been developed that will enable the conservation of species in the field to be supported by microbiome research in the future. The focus here lays on the identification of host-specific metadata based on the faecal microbiota. The developed regression model is able to distinguish between carnivorous, herbivorous and omnivorous hosts with up to 99% accuracy. In addition, a more accurate phylogenetic classification of the family (Canidae, Felidae, Ursidae, Herpestidae) can be made for carnivorous hosts. For herbivorous hosts, the model can predict the respective digestive system with up to 100% accuracy, distinguishing between ruminants, hindgut fermenters and a simple digestive system. The acquisition of host-specific metadata from an unknown faecal sample is an important step towards establishing microbiome research in species conservation. Field studies in particular will benefit from such new methods. Usually, costly microsatellite analysis and high-quality host DNA are required to obtain host-specific information from faecal samples. The newly developed method offers a less costly and labour-intensive alternative to conventional techniques and opens up a more accessible field for microbiome research in the field.
The strong force is one of the four fundamental interactions, and the theory of it is called Quantum Chromodynamics (QCD). A many-body system of strongly interacting particles (QCD matter) can exist in different phases depending on temperature (T) and baryonic chemical potential (µB). The phases and transitions between them can be visualized as µB−T phase diagram. Extraction of the properties of the QCD matter, such as compressibility, viscosity and various susceptibilities, and its Equation of State (EoS) is an important aspect of the QCD matter study. In the region of near-zero baryonic chemical potential and low temperatures the QCD matter degrees of freedom are hadrons, in which quarks and gluons are confined, while at higher temperatures partonic (quarks and gluons) degrees of freedom dominate. This partonic (deconfined) state is called quark-gluon plasma (QGP) and is intensively studied at CERN and BNL. According to lattice QCD calculations at µB=0 the transition to QGP is smooth (cross-over) and takes place at T≈156 MeV. The region of the QCD phase diagram, where matter is compressed to densities of a few times normal nuclear density (µB of several hundreds MeV), is not accessible for the current lattice QCD calculations, and is a subject of intensive research. Some phenomenological models predict a first order phase transition between hadronic and partonic phases in the region of T≲100 MeV and µB≳500 MeV. Search for signs of a possible phase transition and a critical point or clarifying whether the smooth cross-over is continuing in this region are the main goals of the near future explorations of the QCD phase diagram.
In the laboratory a scan of the QCD phase diagram can be performed via heavy-ion collisions. The region of the QCD phase diagram at T≳150 MeV and µB≈0 is accessible in collisions at LHC energies (√sNN of several TeV), while the region of T≲100 MeV and µB≳500 MeV can be studied with collisions at √sNN of a few GeV. The QCD matter created in the overlap region of colliding nuclei (fireball) is rapidly expanding during the collision evolution. In the fireball there are strong temperature and pressure gradients, extreme electromagnetic fields and an exchange of angular momentum and spin between the system constituents. These effects result in various collective phenomena. Pressure gradients and the scattering of particles, together with the initial spatial anisotropy of the density distribution in the fireball, form an anisotropic flow - a momentum (azimuthal) anisotropy in the emission of produced particles. The correlation of particle spin with the angular momentum of colliding nuclei leads to a global polarization of particles. A strong initial magnetic field in the fireball results in a charge dependence and particle-antiparticle difference of flow and polarization.
Anisotropic flow is quantified by the coefficients vₙ from a Fourier decomposition of the azimuthal angle distribution of emitted particles relative to the reaction plane spanned by beam axis and impact parameter direction. The first harmonic coefficient v₁ quantifies the directed flow - preferential particle emission either along or opposite to the impact parameter direction. The v₁ is driven by pressure gradients in the fireball and thus probes the compressibility of the QCD matter. The change of the sign of v₁ at √sNN of several GeV is attributed to a softening of the EoS during the expansion, and thus can be an evidence of the first order phase transition. The global polarization coefficient PH is an average value of the hyperon’s spin projection on the direction of the angular momentum of the colliding system. It probes the dynamics of the QCD matter, such as vorticity, and can shed light on the mechanism of orbital momentum transfer into the spin of produced particles.
In collisions at √sNN of several GeV, which probe the region of the QCD phase diagram at T≲100 MeV and µB≳500 MeV, hadron production is dominated by u and d quarks. Hadrons with strange quarks are produced near the threshold, what makes their yields and dynamics sensitive to the density of the fireball. Thus measurement of flow and polarization, in particular of (multi-)strange particles, provides experimental constraints on the EoS, that allows to extract transport coefficients of the QCD matter from comparison of data with theoretical model calculations of heavy-ion collisions.
For continuation of the annotation see the PDF of thesis
Neurodevelopmental psychiatric disorders (NPDs) like attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and schizophrenia, affect millions of people worldwide. Despite recent progress in NPD research, much remains to be discovered about their underpinnings, therapeutic targets, effects of biological sex and age. Risk factors influencing brain development and signalling include prenatal inflammation and genetic variation. This dissertation aimed to build upon these findings by combining behavioural, molecular, and neuromorphological investigations in mouse models of such risk factors, i.e. maternal immune activation (MIA), neuron-specific overexpression (OE) of the cytoplasmatic isoforms of the RNA-binding protein RBFOX1, and neuronal deletion of the small Ras GTPase DIRAS2.
Maternal infections during pregnancy pose an increased risk for NPDs in the offspring. While viral-like MIA has been previously established elsewhere, this study was the first in our institution to implement the model. I validated NPD-relevant deficits in anxiety- and depression-like behaviours, as well as dose- and sex-specific social deficits in mouse offspring following MIA in early gestation. Proteomic analyses in embryonic and adult hippocampal (HPC) synaptoneurosomes highlighted novel and known targets affected by MIA. Analysis of the embryonic dataset implicated neurodevelopmental disruptions of the lipid, polysaccharide, and glycoprotein metabolism, important for proper membrane function, signalling, and myelination, for NPD-pertinent sequelae. In adulthood, the observed changes encompassed transmembrane trafficking and intracellular signalling, apoptosis, and cytoskeletal organisation pathways. Importantly, 50 proteins altered by MIA in embryonic and adult HPC were enriched in the NPD-relevant synaptic vesicle cycle. A persistently upregulated protein cluster formed a functional network involved in presynaptic signalling and proteins downregulated in embryos but upregulated in adults by MIA were correlated with observed social deficits. 49/50 genes encoding these proteins were significantly associated with NPD- and comorbidity-relevant traits in human phenome-wise association study data for psychiatric phenotypes. These findings highlight NPD-relevant targets for future study and early intervention in at-risk individuals. MIA-evoked changes in the neuroarchitecture of the NPD-relevant HPC and prefrontal cortex (PFC) of male and female mice highlighted sex- and region-specific alterations in dendritic and spine morphology, possibly underlining behavioural phenotypes.
To further investigate genetic risk factors of NPDs, I performed a study based on the implications of RBFOX1’s pleiotropic role in neuropsychiatric disorders and previous preclinical findings. Cytoplasmatic OE of RBFOX1, which affects the stability and translation of thousands of targets, was used to disseminate its role in morphology and behaviour. RBFOX1 OE affected dendritic length and branching in the male PFC and led to spine alterations in both PFC and HPC. Due to previously observed ASD-like endophenotypes in our Rbfox1 KO mice and the importance of gene × environment effects on NPD susceptibility, I probed the interaction of cytoplasmatic OE and a low-dose MIA on offspring. Both RBFOX1 OE alone and with MIA led to increased offspring loss during the perinatal period. Preliminary data suggested that RBFOX1 OE × MIA might increase anxiety- and anhedonia-like behaviours. Morphological changes in the adult male OE HPC and PFC suggested increased spine density and reduced dendritic complexity. A small post-mortem study in human dorsolateral PFC of older adults did not reveal significant effects of a common risk variant on RBFOX1 abundance.
To expand upon NPD genetic risks, I evaluated the effects of a homo- (KO) or heterozygous (HET) Diras2 deletion in a novel, neuron-specific mouse model. DIRAS2’s function is largely unknown, but it has been associated with ADHD in humans and neurodevelopment in vitro. In adult mice, there were subtle sex-specific effects on behaviour, i.e. more pronounced NPD-relevant deficits in males, in keeping with human data. KO mice had subtly improved cognitive performance, while HET mice exhibited behaviours in line with core ADHD symptoms, e.g. earning difficulties (females), response inhibition deficits and hyperactivity (males), suggesting Diras2 dose-sensitivity and sex-specificity. The morphological findings revealed multiple aberrations in dendritic and spine morphology in the adult PFC, HPC, and amygdala of HET males. KOs changes in spine and dendritic morphology were exclusively in the PFC and largely opposite to those in HETs and NPD-like phenotypes. Region- and genotype-specific expression changes in Diras2 and Diras1 were observed in six relevant brain regions of adult HET and KO females, also revealing differences in the survival and morphology regulator mTOR, which might underlie observed differences.
In conclusion, the effects of MIA and partial Diras2 knockdown resembled each other in core, NPD-associated behavioural and morphological phenotypes, while cytoplasmatic RBFOX1 OE and full Diras2 KO differed from those. My findings suggest complex dose- and sex-dependent relationships between these prenatal and genetic interventions, whose NPD-relevant influences might converge onto neurodevelopmental molecular pathways. An assessment of such putative overlap, based on available data from the MIA proteomic analyses of embryonic and adult HPC, suggested the three models might be linked via downstream targets, interactions, and upstream regulators. Future studies should disseminate both distinct and shared aspects of MIA, RBFOX1, and DIRAS2 relevant to NPDs and build upon these findings.
During my initial days here in Frankfurt, in October 2020 amidst the pandemic crisis, all my notes revolved around three articles by Bolthausen and Kistler, which now form the starting point of this work.
The ones introduced by Bolthausen and Kistler are abstract mean field spin glass models, reminiscent of Derrida’s Generalized Random Energy Model (GREM), which generalize the GREM while remaining rigorously solvable through large deviations methods and within a classical Boltzmann-Gibbs formalism. This allows to establish, by means of a second moment method, the associated free energy at the thermodynamic limit as an orthodox, infinite-dimensional, Boltzmann-Gibbs variational principle.
Dual Parisi formulas for the limiting free energy associated with these Hamiltonians hold, and are revealed to be the finite-dimensional (”collapsed”) versions of the classical, infinite-dimensional Boltzmann-Gibbs principles.
In the 2nd chapter of this thesis, we uncover the hidden yet essential connection between real-world spin glasses, like the Sherrington-Kirkpatrick (SK) model and the random energy models. The crucial missing element is that of TAP-free energies: integrating it with the framework introduced by Bolthausen and Kistler results in a correction to the Parisi formula for the free energy, which brings it much, much closer to the ”true” Parisi solution for the SK-model. In other words, we can identify the principles that transform the classical Boltzmann-Gibbs maximization into the unorthodox (and puzzling) Parisi minimization.
This arguably stands as the primary achievement of this work.
ATP-binding cassette (ABC) transporters shuttle diverse substrates across biological membranes. They play a role in many physiological processes but are also the reason for antibiotic resistance of microbes and multi drug resistance in cancer, and their dysfunction can lead to serious diseases. Transport is achieved through an ATP-driven closure of the two nucleotide binding sites (NBSs) which induces a transition between an inward-facing (IF) and an outward-facing (OF) conformation of the connected transmembrane domains (TMDs). In contrast to this forward transition, the reverse transition (OF-to-IF) that involves Mg2+-dependent ATP hydrolysis and release is less understood. This is particularly relevant for heterodimeric ABC transporters with asymmetric NBSs. These transporters possess an ATPase active consensus NBS (c-NBS) and a degenerate NBS (d-NBS) with little or no ATPase activity.
Crucial details regarding function and mechanism of the transport cycle remain elusive.
Here, these open questions were addressed using pulse electron-electron double resonance (PELDOR or DEER) spectroscopy of the heterodimeric ABC exporter TmrAB.
To better understand the transport cycle, the underlying kinetics of the conformational transitions need to be elucidated. By introducing paramagnetic nitroxide (NO) spin probes at key positions of TmrAB and employing time-resolved PELDOR spectroscopy, the forward transition could be followed over time and the rate constants for the conformational transition at the TMDs and NBSs were characterized.
The temperature dependence of these rate constants was further analyzed to determine for the first time the activation energy of conformational changes in a large membrane protein. For TMD opening and c-NBS dimerization, values of 75 ± 27 kJ/mol and 56 ± 3 kJ/mol, respectively were found. These values agree with reported activation energies of peptide transport and peptide dissociation in other ABC transporters, suggesting that the forward transition may be the rate-limiting step for substrate translocation.
The functional relevance of asymmetric NBSs is so far not well understood. By combining Mg2+-to-Mn2+ substitution with Mn2+-NO and NO-NO PELDOR spectroscopy, the binding of ATP-Mn2+, the conformation of the NBSs, and the conformation of the TMDs could be simultaneously monitored for the first time. These results reveal an asymmetric post-hydrolytic state. Time-resolved investigation showed that ATP hydrolysis at the active c-NBS triggers the reverse transition, whereas opening of the impaired d-NBS regulates the return to the IF conformation.
Inflammation is a regulated reaction of the body to control a threat such as infection or injury. An efficient resolution of inflammation is critical to prevent the development of chronic inflammation and to restore tissue homeostasis. Macrophages (Mf) play a crucial role in the onset, but also in the resolution of inflammation, because they phagocytose and eliminate pathogens and tissue debris. Efficient efferocytosis, i.e. the engulfment of apoptotic cells, represents an important trigger for the onset of the resolution response and contributes to the pro-resolving reprogramming of Mf. Despite the importance of post- transcriptional modes of regulation during the resolution phase and translational control as a key node modulating gene expression in immune cells, relevant translational alterations remain largely elusive.
In the present study, I aimed to identify translationally regulated targets in inflammatory primary murine Mf upon resolution-promoting efferocytosis. To this end, I used total RNA-sequencing as well as de novo proteomics analyses to determine global transcriptional and translational changes. Sequencing data confirmed that efferocytosis induced a pro-resolution signature in inflammatory Mf and pointed towards translational regulation because the related integrated stress response was enriched upon efferocytosis. While changes of gene expression between efferocytic and non-efferocytic Mf appeared rather small at the transcriptional level, I observed considerable differences at the level of de novo synthesized proteins. This finding suggests a regulation at the level of translation. Furthermore, the tight connection between translational and metabolic changes was confirmed by enriched metabolism-associated terms of targets upregulated by efferocytosis at both RNA and de novo protein level. Interestingly, analysis of translationally regulated targets in response to inflammatory stimulation showed reduced translation for most targets, with only little impact of efferocytosis. Among those targets, I identified pro-resolving matrix metallopeptidase 12 (Mmp12) as a novel candidate, which showed translational repression during early inflammation and translational increase during the resolution phase. Noteworthy, a first indicator for a potential translation regulatory component of Mmp12 were the extremely high mRNA levels and not overly high de novo protein levels. Validation experiments recapitulated a slight elevation of Mmp12 mRNA expression and a significant downregulation of MMP12 intracellular protein levels in inflammatory Mf, as observed in the RNA-seq and de novo proteomics datasets. To investigate whether the discrepancy in mRNA and protein expression were due to changes in translation, I applied polysomal fractionation analysis to determine the translational status of Mmp12. Inflammatory Mf displayed a significantly lower relative Mmp12 mRNA abundance in the late polysomes compared to naïve Mf, suggesting reduced translational efficiency upon inflammatory stimulation. Consequently, extracellular MMP12 levels in the supernatant of inflammatory Mf decreased, although with a slight delay.
The functional impact of attenuated Mmp12 translation upon inflammatory stimulation was assessed in migration assays. While siRNA-mediated knockdown of Mmp12 did not alter Mf migration on uncoated plates, it increased migration 3-fold on matrigel/elastin-coated plates. Importantly, the increase in migrated distance driven by siMmp12 could be lowered by the addition of exogenous recombinant MMP12 protein. In line with reduced Mmp12 translation and MMP12 protein in inflammatory Mf, I observed a significant increase in cell migration on matrigel/elastin-coated plates, while it remained unaltered on uncoated plates. Consequently, Mf elastase MMP12 degrades elastin, thereby cell migration along elastin fibers is diminished. In inflammatory Mf, Mmp12 is translationally downregulated, thereby enhancing the migratory capacity.
In summary, the present study identifies a substantial contribution of translational regulation in the course of inflammation shown by high changes between inflammatory naïve and efferocytic Mf at the de novo proteomic level. Specifically, I was able to determine the translational regulation of pro-resolving Mmp12, which is repressed during early inflammation and recovers during the resolution phase. Functionally, translational control of MMP12 emerged as a strategy to alter the migratory properties of Mf, enabling enhanced, matrix- dependent migration of Mf during the early inflammatory phase, while restricting migration during the resolution phase.
Fluorescence microscopy has significantly impacted our understanding of cell biology. The extension of diffraction-unlimited super-resolution microscopy opened an observation window that allows for the scrutiny of cellular organization at a molecular level. The non-invasive nature of visible light in super-resolution microscopy methods renders them suitable for observations in living cells and organisms. Building upon these advancements, a promising synergy between super-resolution fluorescence microscopy and deep learning becomes evident, extending the capabilities of the imaging methods. Tasks such as image modality translation, restoration, single-molecule fitting, virtual labeling, spectral demixing, and molecular counting, are enabled with high precision. The techniques explored in this thesis address three critical facets in advanced microscopy, namely the reduction in image acquisition time, saving photon budget during measurement, and increasing the multiplexing capability. Furthermore, descriptors of protein distributions and their motion on cell membranes were developed.
While high-quality climate reconstructions of some past warm periods in the Cenozoic era now exist, the geological processes responsible for driving the observed longterm changes in atmospheric CO2 are not sufficiently well understood. The long-term change in atmospheric CO2 across the Cenozoic has been proposed to be driven by processes such as terrestrial weathering, organic carbon production and burial, reverse weathering, and volcanic degassing. One way of constraining the relative importance of the various driving forces proposed so far is to better understand the degree to which ocean chemistry has changed because the chemistry of seawater responds to geologic processes that drive atmospheric CO2. In addition, knowledge of the concentration of the major elements in seawater is crucial for accurately applying proxies such as those based on the boron isotopic composition and Mg/Ca of marine carbonates (a proxy for palaeo pH/CO2 and palaeotemperature, respectively). Previously reported records of seawater composition are primarily derived from fluid inclusions in marine evaporites; however, the results are sparse due to the limited availability of such deposits. In this thesis, changes in the Eocene seawater chemistry were reconstructed using trace element (elements/Ca) and isotopic (δ26Mg) proxies in a Larger Benthic Foraminifera (LBFs), i.e., Nummulites sp., to constrain the driving processes of long-term changes in seawater chemistry.
To achieve the objective of this thesis, first, a measurement protocol was established using LA-ICPMS to measure the K/Ca ratio simultaneously with other element/calcium ratios, which is challenging due to the interference of ArH+ on K+. Utilising this newly established measurement protocol, laboratory-cultured Operculina ammonoides grown at different seawater calcium concentrations ([Ca2+]), repeated at different temperatures, as well as modern O. ammonoides collected from different regions exhibiting a range of seawater parameters, were investigated. A significant correlation was observed between K/Casw and K/CaLBF, allowing K/CaLBF to potentially be used as a proxy for seawater major ion reconstructions. In addition, modern O. ammonoides demonstrated no significant influence of most seawater parameters (temperature, salinity, pH, or [CO32-]) on K/CaLBF. Modern O.
ammonoides were also assessed for their Mg isotopic composition (δ26Mg), revealing no significant effect of temperature or salinity on δ26MgLBF. Furthermore, the Mg isotopic fractionation in O. ammonoides was found to be close to that of inorganic calcite, indicating minimal vital effects in these large benthic foraminifera.
Operculina ammonoides is the nearest living relative of the abundant Eocene genus Nummulites, enabling the reconstruction of seawater chemistry using the calibration based on O. ammonoides. The trace elemental/calcium proxies, including Na/Ca, K/Ca, and Mg/Ca, as well as the δ26Mg proxy, were investigated in Eocene Nummulites. The result showed that during the Eocene, [Ca2+]sw was 1.6-2 times higher, while [K+]sw was ~2 times lower than the modern seawater composition. Furthermore, [Mg2+]sw decreased from the early Eocene (54.3− +9 7..69 mmol kg-1 at ~55 Ma) to Late Eocene (37.8− +4 4..3 4 mmol kg-1 at ~31 Ma), followed by
an increase toward modern seawater [Mg]. In contrast, the variability in δ26Mgsw values remained within a narrow range of ~0.3 ‰ throughout the Cenozoic. The reconstructed [Ca2+]sw agrees with the suggestion that Cenozoic seawater chemistry changes can be explained via a change in the seafloor spreading rate. When combined with existing records, the observed minimal change in δ26Mgsw with an increase in [Mg2+]sw suggests an additional possible role of a decrease in the formation of authigenic clay minerals coincident with the Cenozoic decline in deep ocean temperature, which is also supported by the increase in the [K+]sw reconstructed here for the first time. This finding highlights that the reduction in seafloor-spreading rate and decline in reverse weathering during the Cenozoic era has played a significant role in the evolution of seawater chemistry, emphasizing the importance of these processes in driving long-term changes in the carbon cycle.
Autophagy is an important degradation pathway mediating the engulfment of cellular material (cargo) into autophagosomes followed by degradation in autophagosomes.
Different stress stimuli, e.g. nutrient deprivation, oxidative stress or organelle damage, engage autophagy to maintain cellular homeostasis, recycle nutrients or remove damaged cell organelles. Autophagy not only degrades bulk cytoplasmic material but also selective autophagic cargo, for example lysosomes (lysophagy), mitochondria (mitophagy), ER (ER-phagy), lipid droplets (lipophagy), protein aggregates (aggrephagy) or pathogens (xenophagy). Selective autophagy pathways are regulated by selective autophagy receptors which bind to ubiquitinated cargo proteins and link them to LC3 on the autophagosomal membrane.
Ubiquitination is an essential post-translational modification controlling different cellular processes such as proteasomal and lysosomal degradation or innate immune signaling.
M1-linked (linear) poly-Ubiquitin (poly-Ub) chains are exclusively assembled by the E3 ligase linear ubiquitin chain assembly complex (LUBAC) and removed by the M1 poly-Ub-specific OTU domain-containing deubiquitinase with linear linkage specificity (OTULIN). In addition to key functions in innate immune signaling and nuclear factor-κB (NF-κB) activation, M1 ubiquitination is also implicated in the regulation of autophagy.
LUBAC and OTULIN control autophagy initiation and maturation and the autophagic clearance of invading bacteria via xenophagy. However, additional functions of LUBAC- and OTULIN-regulated M1 ubiquitination in autophagy are largely unknown and it also remains unexplored if LUBAC and OTULIN control other selective autophagy pathways in addition to xenophagy. This study aimed to unravel the role of LUBAC- and OTULIN-controlled M1 ubiquitination in bulk and selective autophagy in more detail.
In this study, characterization of OTULIN-depleted MZ-54 glioblastoma (GBM) cells revealed that OTULIN deficiency results in enhanced LC3 lipidation in response to autophagy induction and upon blockade of late stage autophagy with Bafilomycin A1 (BafA1). Furthermore, electron microscopy analysis showed that OTULIN-deficient cells have an increased number of degradative compartments (DGCs), confirming enhanced autophagy activity upon loss of OTULIN. APEX2-based autophagosome content profiling identified various OTULIN-dependent autophagy cargo proteins. Among these were the autophagy receptor TAX1BP1 which regulates different forms of selective autophagy (e.g. lysophagy, aggrephagy) and the glycan-binding protein galectin-3 which serves key functions in lysophagy, suggesting a role of OTULIN and M1 poly-Ub in the regulation of aggrephagy and lysophagy.
Abstract 2
To study aggrephagy, protein aggregation was induced with puromycin which causes premature termination of translation and accumulation of defective ribosomal products (DRiPs). Loss of OTULIN increased the number of M1 poly-Ub-positive foci and insoluble proteins and reduced the levels of soluble TAX1BP1 and p62 in response to puromycin-induced proteotoxic stress.
Intriguingly, upon induction of lysosomal membrane permeabilization (LMP) with the lysosomotropic drug L-Leucyl-L-Leucine methyl ester (LLOMe), M1 poly-Ub strongly accumulated at damaged lysosomes and colocalized with TAX1BP1- and galectin-3-positive puncta. M1 poly-Ub-modified lysosomes formed a platform for NF-κB essential modulator (NEMO) and inhibitor of κB (IκB) kinase (IKK) complex recruitment and local NF-κB activation in a K63 poly-Ub- and OTULIN-dependent manner. Furthermore, inhibition of lysosomal degradation enhanced LLOMe-induced cell death, suggesting pro-survival functions of lysophagy following LMP. Enrichment of M1 poly-Ub at damaged lysosomes was also observed in human dopaminergic neurons and in primary mouse embryonic cortical neurons, confirming the importance of M1 poly-Ub in the response to lysosomal damage.
Together, these results identify OTULIN as a negative regulator of autophagy induction and the autophagic flux and reveal OTULIN-dependent autophagy cargo proteins.
Furthermore, this study uncovers novel and important roles of M1 poly-Ub in the response to lysosomal damage and local NF-κB activation at damaged lysosomes.
Inorganic phosphate is one of the most abundant and essential nutrients in living organisms. It plays an indispensable role in energy metabolism and serves as a building block for major cellular components such as the backbones of DNA and RNA, headgroups of phospholipids and in posttranslational modifcations of many proteins. Disturbances in cellular phosphate homeostasis have a detrimental effect on the viability of cells. There- fore, both the import and export of phosphate is strictly regulated in eukaryotic cells. In the eukaryotic model organism Saccharomyces cerevisiae, the uptake of phosphate is carried out either by transporters with high affinity or by transporters with low affinity, depending on the cytosolic phosphate concentration. While structures are available for homologues of the high-affinity transporters, no structures of low-affinity transporters have been solved so far. Interestingly, only the low-affinity transporters have a regulatory SPX domain, which is found in various proteins involved in phosphate homeostasis.
In this work, structures of Pho90 from Saccharomyces cerevisiae, a low-affinity phosphate transporter, were solved by cryo-EM, providing insights into its transport mechanism. The dimeric structure resembles the structures of proteins of the divalent anion symporter superfamily (DASS) and of mammalian transporters of the solute carrier 13 (SLC13) family. The transmembrane domain of each protomer consists of 13 helical elements and can be subdivided into scaffold and transport domains. The structure of ScPho90 in the presence of phosphate shows the phosphate binding site within the transporter domain in an outward-open conformation with a bound phosphate ion and two sodium ions. In the absence of phosphate, an asymmetric dimer structure was determined, with one protomer adopting an inward-open conformation. While the dimer contact and the scaffold domain are identical in both conformations, the transport domain is rotated by about 30° and shifted by 11 Å towards the cytoplasmic side, leading to the accessibility of the binding pocket from the cytoplasm. Based on these findings and by comparison with known structures, a phosphate transport mechanism is proposed in the present work that involves substrate binding on the extracellular side, conformational change by a rigid-body motion of the transport domain, in an "elevator-like" motion, and substrate release into the cytoplasm. The regulatory SPX domain is not well resolved in the ScPho90 structures, so that no direct conclusions were drawn about its regulatory mechanism. The findings provide new insights into the function and mechanism of eukaryotic low-affinity phosphate transporters.
While eukaryotic cells express various phosphate import proteins, most eukaryotes have only a single highly conserved and essential phosphate exporter. These exporters show no sequence homology to other transporters of known structure, but also possess a regulatory SPX domain. In this work, the structural basis for eukaryotic phosphate export is investigated by elucidating the structures of the homologous phosphate exporters Syg1 from Saccharomyces cerevisiae and Xpr1 from Homo sapiens, using cryo-EM. The structures of ScSyg1 and HsXpr1 show a conserved homodimeric structure and the transmembrane part of each protomer consists of 10 TM helices. Helix TM1 establishes the dimer contact by means of a glycine zipper motif, which is a known oligomerization motif. Helices TM2-5 form a hydrophobic pocket that has density for a lipid molecule. Whether the lipid binding into the hydrophobic pocket has an allosteric effect on the phosphate export activity or only serves protein stabilization is not known. Helices TM5-10 form a six-helix bundle, which constitutes a putative phosphate translocation pathway in its center. This bundle is formed by the protein sequence annotated as EXS domain.
The respective phosphate translocation pathways of ScSyg1 and HsXpr1 show structural differences. While the translocation pathway in HsXpr1 is accessible from the cytoplasm, in ScSyg1 it is closed by a large loop of the SPX domain. Interestingly, this loop is not conserved in higher eukaryotes and is therefore not present in HsXpr1. Another difference are distinct conformations of helix TM9. In ScSyg1, TM9 adopts a kinked conformation, which results in the translocation pathway being open to the extracellular side. In contrast, TM9 adopts a straight conformation in HsXpr1, resulting in the placement of a highly conserved tryptophane residue in the middle of the translocation pathway. As a result, the translocation pathway in HsXpr1 is closed to the extracellular side.
Exploring strategies to improve the reverse beta-oxidation pathway in Saccharomyces cerevisiae
(2024)
Microbes are the most diverse living organisms on Earth, with various metabolic adaptations that allow them to live in different conditions and produce compounds with different chemical complexity. Microbial biotechnology exploits the metabolic diversity of microorganisms to manufacture products for different industries. Today, the chemical industry is a significant energy consumer and carbon dioxide emitter, with processes that harm natural ecosystems, like the extraction of medium-chain fatty acids (MCFAs). MCFAs are used as precursors for biofuels, volatile esters, surfactants, or polymers in materials with enhanced properties.
However, their current extraction process uses large, non-sustainable monocultures of coconut and palm trees. Therefore, the microbial production of MCFAs can help reduce the current environmental impact of obtaining these products and their derivatives.
In nature, fatty acids are mostly produced via fatty acid biosynthesis (FAB). However, the reverse β-oxidation (rBOX) is a more energy-efficient pathway compared to FAB. The rBOX pathway consists of four reactions, which result in the elongation of an acyl-CoA molecule by two carbon units from acetyl-CoA in each cycle. In this work we used Saccharomyces cerevisiae, an organism with a high tolerance towards toxic compounds, as the expression host of the rBOX pathway to produce MCFAs and medium-chain fatty alcohols (MCFOHs).
In the first part of this work, we expanded the length of the products from expressing the rBOX in the cytosol and increased the MCFAs titres. First, we deleted the major glycerol-3-phosphate dehydrogenase (GPD2). This resulted in a platform strain with significantly reduced glycerol fermentation and increased rBOX pathway activity, probably due to an increased availability of NADH. Then, we tested different combinations of rBOX enzymes to increase the length and titres of MCFA. Expressing the thiolase CnbktB and β-hydroxyacyl-CoA dehydrogenase CnpaaH1 from Cupriavidus necator, Cacrt from Clostridium acetobutylicum and the trans-enoyl-CoA reductase Tdter (Treponema denticola) resulted in hexanoic acid as the main product.
Expressing Cncrt2 (C. necator) or YlECH (Y. lipolytica) as enoyl-CoA hydratases resulted in octanoic acid as the main product. Then, we integrated the octanoic (Cncrt2 or YlECH) and the hexanoic acid (Cacrt)-producing variants in the genome of the platform strain and we achieved titers of ≈75 mg/L (hexanoic acid) and ≈ 60 mg/L (octanoic acid) when growing these strains in a complex, highly buffered medium. These are the highest titers of octanoic and hexanoic acid obtained in S. cerevisiae with the rBOX. Additionally, we deleted TES1 and FAA2 to prevent competition for butyryl-CoA and degradation of the produced fatty acids, respectively.
However, these deletions did not improve MCFA titers. In addition, we tested two dual acyl-CoA reductase/alcohol dehydrogenases (ACR/ADH), CaadhE2 from C. acetobutylicum and the putative ACR/ADH EceutE from Escherichia coli, in an octanoyl-CoA-producing strain to produce MCFOH. As a result, we produced 1-hexanol and 1-octanol for the first time in S. cerevisiae with these two enzymes. Nonetheless, the titres were low (<10 mg/L and <2 mg/L, respectively), and four-carbon 1-butanol was the main product in both cases (>80 mg/L). This showed the preference of these two enzymes for butyryl-CoA.
In the second part of this work, we expressed the rBOX in the mitochondria of S. cerevisiae to benefit from the high levels of acetyl-CoA and the reducing environment in that organelle. First, in an adh-deficient strain, we mutated MTH1, a transcription factor regulating the expression of hexose transporters, and deleted GPD2. This resulted in a strain with a reduced Crabtree effect and, therefore, an increased carbon flux to the mitochondria. We partially validated the increased flux to the mitochondria by expressing the ethanol-acetyltransferase EAT1 from Kluyveromyces marxianus in this organelle. This resulted in a higher isoamyl acetate production in the MTH1-mutant strain. Isoamyl acetate is synthesised by Eat1 from acetyl-CoA and isoamyl alcohol, a product of the metabolism of amino acids in the mitochondria. Then, we targeted different butyryl-CoA-producing rBOX variants to the mitochondria, and we used the production of 1-butanol and butyric acid as a proof-of-concept. The strong expression of all the enzymes was toxic for the cell, and the highest butyric acid titres (≈ 50 mg/L) in the mitochondria from the rBOX were obtained from the weak expression of the pathway. The highest 1-butanol titers (≈ 5 mg/L) were obtained with the downregulation of the mitochondrial NADH-oxidase NDI1. However, this downregulation led to a non-desirable petite phenotype.
In summary, we produced hexanoic and octanoic acid for the first time in S. cerevisiae using the rBOX and achieved the highest reported titers of hexanoic and octanoic acid so far using this pathway in S. cerevisiae. In addition, we successfully compartmentalised the rBOX in the mitochondria. However, competing reactions, some of them essential for the viability of the cell, limit the use of this organelle for the rBOX.
This thesis presents the experimental and numerical analysis of seismic waves that are produced by wind farms. With the aim to develop renewable energies rapidly, the number of wind turbines has been increased in recent years. Ground motions induced by their operation can be observed by seismometers several kilometers away. Hence, the seismic noise level can be significantly increased at the seismic station. Therefore, this study combines long-term experiments and numerical simulations to improve the understanding of the seismic wavefields emitted by complete wind farms and to advance the prediction of signal amplitudes.
Firstly, wind-turbine induced signals that are measured at a small wind farm close to Würzburg (Germany) are correlated with the operational data of the turbines. The frequency-dependent decay of signal amplitudes with distance from the wind farm is modeled using an analytical method including the complex effects of interferences of the wavefields produced by the multiple wind turbines. Specific interference patterns significantly affect the wave propagation and therefore the signal amplitude in the far field of a wind farm. Since measurements inside the wind turbines show that the assumption of in-phase vibrating wind turbines is inappropriate, an approach to calculate representative seismic radiation patterns from multiple wind turbines, which allows the prediction of amplitudes in the far field of a complete wind farm, is proposed.
In a second study, signals with a frequency of 1.15 Hz, produced by the Weilrod wind farm (north of Frankfurt, Germany) are observed at the seismological observatory TNS (Taunus), which is located at a distance of 11 km from the wind farm. The propagation of the wavefield emitted by the wind farm is numerically modeled in 3D, using the spectral element method. It is shown that topographic effects can cause local signal amplitude reductions, but also signal amplification along the travel path of the seismic wave. The comparison of simulations with and without topography reveals that the reduction and amplification are spatially linked to the shape of the topography, which could be an explanation for the relatively high signal amplitude observed at TNS.
Finally, the reduction of the impact of wind turbines on seismic measurements using borehole installations is studied using 2D numerical models. Possible effects of the seismic velocity, attenuation, and layering of the subsurface are demonstrated. Results show that a borehole can be very effective in reducing the observed high-frequency signals emitted by wind turbines. However, a borehole might not be beneficial if signals with frequencies of about 1 Hz (or lower) are of interest, due significant wavelength-dependent effects. The estimations of depth-dependent amplitudes with a layered subsurface are validated with existing data from wind-turbine-induced signals measured at the top and bottom of two boreholes.
The experimental analysis of measurements conducted at wind farms and the advances of modeling such signals improve the understanding of the propagation of wind-farm induced seismic wave fields. Furthermore, the methods developed in this work have a high potential of universal application to the prediction of signal amplitudes at seismometers close to wind farms with arbitrary layout and geographic location.
The single-source shortest-path problem is a fundamental problem in computer science. We consider a generalization of the shortest-path problem, the $k$-shortest path problem. Let $G$ be a directed edge-weighted graph with $n$ nodes and $m$ edges and $s,t$ be two fixed nodes. The goal is to compute $k$ paths $P_1,\dots,P_k$ between two fixed nodes $s$ and $t$ in non-decreasing order of their length such that all other paths between $s$ and $t$ are at least as long as the $k$\nth path $P_k$. We focus on the version of the $k$-shortest path problem where the paths are not allowed to visit nodes multiple times, sometime referred to as $k$-shortest simple path problem.
The probably best known $k$-shortest path algorithm is Yen's algorithm. It has a worst-case time complexity of O(kn\cdot scp(n,m)), where scp(n,m) is the complexity of the single-source shortest-path algorithm used as a subroutine. In case of Dijkstra's algorithm scp(n,m) is O(m + n\log n). One of the more recent improvements of Yen's algorithm is by Feng.
Even though Feng's algorithm is much faster in practice, it has the same worst-case complexity as Yen's algorithm.
The main results presented in this thesis are upper bounds on the average-case of Yen's and Feng's algorithm, as well as practical improvements and a parallel implementation of Yen's and Feng's algorithms including these improvements. The implementation is publicly available under GPLv3 open source license.
We show in our analysis that Yen's algorithm has an average-case complexity of O(k \log(n)\cdot scp(n,m)) on G(n,p) graphs with at least logarithmic average-degree and random edge weights following a distribution with certain properties.
On G(n,p) graphs with constant to logarithmic average-degree and uniform random edge-weights over $[0;1]$, we show an average-case complexity of O(k\cdot\frac{\log^2 n}{np}\cdot scp(n,m)). Feng's algorithm has an even better average-case complexity of O(k\cdot scp(n,m)) on unweighted G(n,p) graphs with logarithmic average-degree and for constant values of $k$. We further provide evidence that the same holds true for G(n,p) graphs with uniform random edge-weights over $[0;1]$.
On the practical side, we suggest new heuristics to prune even more single-source shortest-path computations than Feng's algorithm and evaluate all presented algorithms on G(n,p) and Grid graphs with up to 256 million nodes. We demonstrate speedups by a factor of up to 40 compared to Feng's algorithm.
Finally we discuss two ways to parallelize the suggested algorithms and evaluate them on grid graphs showing speedups by a factor of 2 using 4 threads and by a factor of up to 8 using 16 threads, respectively.
The Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) as well as the T-cell/histiocyte-rich large B-cell lymphoma (THRLBCL) are rare types of malignant lymphomas. Both NLPHL and THRLBCL are frequently observed in middle-aged men with THRLBCL presenting frequently with an advanced Ann-Arbor stage with B-symptoms and associated with more aggressive courses.3 However, due to the limited number of tumor cells in the tissue of both NLPHL and THRLBCL, limited numbers of studies have been conducted on these lymphomas and current results are mainly based on general molecular genetic studies.
In order to obtain a better understanding for these disease forms as well as possible changes in their nuclear and cytoplasmatic sizes, the following study relied on the comparison of the different NLPHL forms and THRLBCL in terms of nuclear size and nuclear volume. This was carried out using both 2D and 3D analysis. During the 2D analysis of nuclear size and nuclear volume no significant differences could be presented between those groups. However, the 3D analysis of NLPHL and THRLBCL pointed out a slightly enlarged nuclear volume in THRLBCL. Furthermore, the analysis indicated a significantly increased cytoplasmatic size of THRLBCL compared to NLPHL forms. Nevertheless, differences occurred not only between the tumor cells of both disease forms, but also the T cells presented a larger nuclear volume in THRLBCL. B cells, which were considered as the control group, did not demonstrate any significant differences between the different groups. The presented results suggest an increased activity of T cells in THRLBCL, which is most likely to be interpreted as a response against the surrounding tumor cells and probably limits the proliferation of the tumor cells. Based on these results, the importance of 3D analysis is also evident due to the fact that it is clearly superior to 2D analysis. For a better understanding of both disease forms, it is therefore recommended to use the 3D technique in combination with molecular genetic analysis in future research.
Subject of this thesis was the investigation of the actin-interacting and glucocorticoid-sensitive Protein DRR1 (or Fam107a) and its role in promoting stress resilience in the murine hippocampus.
We proposed the hypothesis that DRR1 through its actin-binding properties specifically modulates neuronal actin dynamics and promotes resilience through synaptic plasticity leading to subsequently improvement of cognitive performance and social behavior. The accompanied AMPA-receptor transport could create an efficient way regulating neural function and complex behavior during stress episodes.
By utilizing fluorescent immunohistochemistry, we showed basal expression of DRR1 primarily in the murine cerebellum and hippocampal CA3 and CA1 area. Co-staining with different cell marker proteins showed DRR1 expression in neurons, microglia and especially in astrocytic end-feet, which create contact to the brain vasculature.
To test whether DRR1 and AMPA receptor function correlate to modulate stress-associated consequences, primary hippocampal neuron cultures were transduced with adeno-associated virus (AAV) for overexpression or suppression of the protein. Western Blot analysis showed a positive correlation between the AMPA-receptor subunit GluR2 and DRR1 amounts. Further the application of the proximity ligation assay (PLA) in untreated neural cultures indicated interaction between DRR1 and the AMPA receptor subunit GluR2. To address whether DRR1 even affects AMPAR trafficking we performed the “newly inserted assay” after AAV-treatment of primary hippocampal neuron cultures. Suppression of DRR1 revealed less newly inserted GluR2 subunits as compared to controls. Inconclusive were the results upon DRR1 overexpression, however they point to no changes.
In the second part we correlated behavioral phenotypes originating from in vivo overexpression and suppression of DRR1 in the murine hippocampus with potential alterations in neuronal morphology. Therefore, in vitro analysis was performed utilizing AAV transduced primary hippocampal cultures overexpressing or suppressing DRR1. Synchronously the viral vector included a green fluorescent protein (GFP) being expressed throughout the complete neural cell. GFP staining was used to verify successful transfection and for reconstruction of dendritic arbors and dendritic stretches for spine classification. DRR1 suppression showed reduced total spine numbers especially evoked by reduced numbers of immature spine classes – namely long thin spines and filopodia. Whereas mature mushroom spines and stubby spines were unaffected. By overexpressing DRR1, tendencies inclined against higher total dendritic lengths, branch points and increased dendritic arbors in comparison to controls. In regard of spines, total numbers were unaffected. However, mature mushroom spines were significantly declined in numbers, but compensated by increased numbers of immature long thin spines and filopodia.
Chronic social defeat stress (CSDS) is widely used in mouse models to study the effects of stress and resilience. We exposed C57Bl/6J mice expressing GFP under the Thy1 promoter CSDS and categorized them into resilient (R+/-), susceptible (R-/-) and non-learning (R+/+) mice following a modified social interaction test (MSIT). We found alterations in CA1 spine compositions with resilient animals resembling the untreated phenotype. Stress susceptible and non-learning animals displayed reduced numbers in stubby spines with simultaneous increases in mature mushroom spines. In addition, we could detect a tendency towards more immature spines in susceptible animals and non-learners, mirroring our in vitro results.
Finally, we present a different investigative approach in this thesis. Sequenced acute stress was previously found to compromise cognition including spine loss.
We aimed to investigate the implication of acute stress on DRR1 levels and its occurrence in diverse cell types of the brain. We subjected one group of C57Bl/6J mice to acute stress and injected another group with the artificial glucocorticoid DEX. Six hours post stress, animals were perfused and brains were subsequently immunobiologically analyzed. We found DRR1 protein levels elevated in the hippocampus of stressed and DEX-treated animals compared to controls. Interestingly, DRR1 seemed was especially elevated in endothelial cells. This coincides with our investigations finding DRR1 present in astrocytic end-feet under basal conditions and might claim a participation of DRR1 in the blood-brain-barrier integrity.
Our results show DRR1 as actin-interacting and glucocorticoid-sensitive gene affecting structural plasticity of hippocampal spines. Moreover, DRR1 directly interacts with AMPA glutamate receptors and presumably is involved in AMPA trafficking to the postsynaptic membrane. In addition, this study could demonstrate that DRR1 is expressed by other cell types of the brain. Of special interest is DRR1’s occurrence in astrocytic end-feet and endothelial cells suggesting a role as integrator of cell-cell communication and to this end also acting as modifier of stress-induced consequences at the neurovascular unit.
In vivo data of chronically stressed mice displayed no phenotypic differences in hippocampal pyramidal neurons of resilient animals as compared to unstressed mice. Morphological alterations of spine structures were particularly visible in stress susceptible and non-learning animals. Integrating our findings with existing behavioral data, we can conclude that DRR1 plays a role in stress resilience whereby it needs to be expressed in a tightly managed homeostatic equilibrium.
The functional and molecular role of transglutaminase 2 in hematopoietic stem and progenitor cells
(2023)
Long-term repopulating hematopoietic stem cells (LT-HSCs) that reside in the bone marrow (BM) give rise to all blood cell types including erythrocytes, leukocytes and platelets. LT-HSCs are mainly quiescent during steady state hematopoiesis. LT-HSCs can process self-renewal to expand and maintain stemness, or commit to differentiation into short-term (ST) repopulating HSC and multipotent progenitors (MPPs). MPPs differentiate into oligopotent lineagerestricted progenitors which eventually produce all mature blood cell lineages, and thereby regenerate hematopoietic system.
Previous studies have shown in transcription profiles and quantitative PCR (qPCR) analysis that transglutaminase 2 (Tgm2) is one of the most upregulated genes in quiescent LT-HSCs in comparison to active HSCs, mobilized HSCs, ST-HSCs, MPPs, as well as leukemic stem cells (LSC). However, the reason why Tgm2 is strongly upregulated in dormant mouse LTHSCs and what the role of Tgm2 is in LT-HSCs has not been investigated yet.
Tgm2, encoded by the Tgm2 gene, is a multi-functional protein within the transglutaminase family. It has been found to be widely expressed inside and outside the cells. It consists of four domains and two functionally exclusive forms that are regulated by the Ca2+ and GTP concentration. Besides the most well-known transglutaminase enzymatic activity for transamidation, deamidation and crosslinking, Tgm2 acts also as a GTPase/ATPase, kinase, adhesion/scaffold protein, as well as disulfide isomerase. The role of Tgm2 in hematopoiesis remains elusive. Accordingly, the aim of this dissertation is to investigate the role of Tgm2 in murine hematopoiesis, especially in murine LT-HSCs.
Firstly, the expression of Tgm2 was analyzed in highly purified murine hematopoietic stem and progenitor cell (HSPC) populations. Low input label-free mass spectrometric proteomics and WES protein analysis confirmed the highly specific expression of Tgm2 in LT-HSCs at protein level. Already at the state of MPPs, Tgm2 protein was almost absent with further decline towards oligopotent progenitors. These results indicated Tgm2 as a specific protein marker for LT-HSCs, justifying the future generation of a fluorescent reporter mouse line based on endogenous Tgm2 tagging.
To delineate the functional and molecular role of Tgm2 in LT-HSCs, a conditional Tgm2 knockout mouse model was generated using the Mx1-Cre/loxP system, with the loxP sites flanking the coding exons of the catalytic domain of Tgm2. After PolyIC-mediated induction, a more than 95% knockout efficiency was observed in purified LT-HSCs and the protein expression of Tgm2 was confirmed to be vanished in the purified LT-HSCs from conditional Tgm2-KO mice. Conditional knockout mice are viable and show no aberrant organ functions.
In steady state condition, the distribution of mature blood cell lineages and immunophenotypically-defined HSPC populations within the BM, the mitochondrial potential of HSPCs reflected by the non-invasive cationic dye JC-1, as well as the cell cycle status of HSPCs mirrored by the intracellular Ki67 staining did not show any significant variations upon loss of Tgm2. However, the in vitro continuous observation of prospectivly isolated LT-HSCs by time-lapse microscopy-based cell tracking revealed a delayed entry into cell cycle with a two fold increased apoptosis rate after knocking out Tgm2, indicating Tgm2 expression might be essential for survival of LT-HSCs. Moreover, while the absence of Tgm2 in LT-HSCs did not influence differentiation and lineage choice in vitro, overexpression of Tgm2 in LT-HSCs resulted in an increase of the most immature subpopulation upon cultivation. All these features were not observed in Tgm2-deleted MPPs, suggesting Tgm2 playing a specific function at the level of LT-HSCs. Upon stress hematopoiesis, induced by the administration of 5-fluorouracil (5-FU), there was a trend towards delayed recovery of LT-HSCs lacking Tgm2. Although Tgm2 express specificly in LT-HSCs, two rounds of competitive BM serial transplantation displayed an equal overall engraftment and multi-lineage reconstitution of LT-HSCs from Tgm2-WT and Tgm2-KO mice in peripheral blood (PB), BM and spleens. Interestingly, LT-HSCs from Tgm2-KO mice reconstituted to more myeloid cells and fewer B cells in the first four weeks after primary transplantation, which disappeared at later time points.
Gene expression profiling and simultaneous single cell proteo-genomic profiling indicated that HSPCs and LT-HSCs from Tgm2-KO mice were transcriptionally more active. A heterogeneity of Tgm2 expression within Tgm2-WT LT-HSCs was revealed by single cell data. Commonly up-regulated genes in Tgm2-KO LT-HSCs and MPPs were significantly involved in regulation of transcription from RNA polymerase II promoter in response to stress, positive regulation of cell death as well as negative regulation of mitogen-activated protein kinase (MAPK) signaling pathways. In Tgm2-KO LT-HSCs, 136 up-regulated genes demonstrated an enrichment of genes involved in apoptosis, as well as negative regulation of MAPK signaling pathway.
Taken together, this dissertation shows that Tgm2 protein is highly specifically expressed in LT-HSCs, but not in subsequent progenitor populations. However, Tgm2 is not essential for differentiation and maturation of myeloid lineages, the proliferation and the long-term multilineage reconstitution potential of LT-HSCs after transplantation. Tgm2 might be involved in accurate stress response of LT-HSCs and the transition from LT-HSCs into MPPs, meaning that the absence of Tgm2 results in poor survival, myeloid bias upon transplantation, as well as slower recovery upon chemotherapeutic treatment.
Sphingolipids are not only structural components of cell membranes but can also act as signalling molecules in different pathways. Sphingolipid precursors, Ceramides (Cer), are synthesized de novo by six different synthases (CerS1-6) which generate Cer of different chain lengths. Cer can be further synthesized to glycosphingolipids and sphingomyelin. Cell membrane parts that are enriched in glycosphingolipids are so-called lipid rafts and can function as signalling platforms for different receptors, such like the T cell receptor (TCR). CD4+ T cells play a crucial role in the development of ulcerative colitis, a chronic inflammatory disease of the colon. As CerS3 expression was increased in the white blood cells of human colitis patients, the role of CerS3 in the TCR signalling and colitis was investigated in this dissertation. By lenti-viral transduction of a CerS3-shRNA into a CD4+ Jurkat cell line, it was shown that CerS3 has an impact on activated T cells. A decrease of different sphingolipids after T cell activation via CD2/3/28 activation beads and IL2 treatment was observed that was accompanied by an inhibition of Zap70 phosphorylation, an important protein of the TCR signalling. The impaired TCR signalling led to a diminished NFAT1 translocation into the nucleus which subsequently led to a reduced NFAT1- dependent TNFα release. Downregulation of CerS3 in primary CD4+ T cells, obtained from the blood of healthy volunteers, also showed a reduced release of pro-inflammatory cytokines after activation. This dissertation demonstrates a pivotal role for CerS3 in T cell function and highlights CerS3 as potential new target for T cell driven colitis.
Gravitropism is a fundamental process in plants that allows shoots to grow upward and roots to grow downward. Protein phosphorylation has been postulated to participate in the intricate signaling cascade of gravitropism. In order to elucidate the underlying mechanisms governing the gravitropic signaling and unearth novel protein constituents, an exhaustive investigation employing microgravity-induced phosphoproteomics was undertaken. The significantly phosphorylated proteins unraveled in this study can be effectively divided into two groups through clustering analysis. Furthermore, the elucidation of Gene Ontology (GO) enrichment analysis disclosed the conspicuous overrepresentation of these clustered phosphoproteins in cytoskeletal organization and in hormone-mediated responses intimately intertwined with the intricate phenomenon of gravitropism. Motif enrichment analysis unveiled the overrepresentation of [-pS-P-] and [-R-x-x-pS-] motifs. Notably, the [-pS-P-] motif has been suggested as the substrate for the Casein kinase II (CK II) and Cyclin-dependent kinase (CDK). Kinase-inhibitor assays confirmed the pivotal role played by CK II and CDK in root gravitropism. Mutant gravitropism assays validated the functional significance of identified phosphoproteins, with some mutants exhibiting altered bending kinetics using a custom-developed platform. The study also compared phosphoproteomics data from different platforms, revealing variations in the detected phosphopeptides and highlighting the impact of treatment differences. Furthermore, the involvement of TOR signaling in microgravity-induced phosphorylation changes was uncovered, expanding the understanding of plant gravitropism responses.
To fulfill the large-scale verification of interesting candidates from the phosphoproteomics study, a novel root and hypocotyl gravitropism phenotyping platform was developed. This platform integrated cost-effective hardware, including Raspberry Pi, a high-quality camera, an Arduino board, a rotation stage (obtained from Prof. Dr. Maik Böhmer), and programmable green light (modified by Sven Plath). In addition, through collaboration with a software developer, machine-learning-based software was developed for data analysis. This platform tested the gravitropic response of candidate mutants identified in the phosphoproteomics study. Furthermore, the capabilities of this platform were expanded to investigate tropisms in other species and organs. To find novel proteins that might act as partners of a key protein that is involved in gravitropism signaling, ALTERED RESPONSE TO GRAVITY 1 (ARG1), immunoprecipitation coupled with Mass Spectrometry (IP-MS) was performed and identified ARG1-LIKE1 (ARL1) as a potential interacting protein with ARG1. This interaction was further confirmed through in vivo pull-down assays and bimolecular fluorescence complementation assays. In addition, the interaction between ARG1 and HSP70-1 was also validated.
Overall, this thesis sheds light on the molecular components and signaling events involved in plant gravitropism. It contributes to existing knowledge and opens up new ways to investigate this fascinating area of plant biology.
Electrospinning is an advanced method for the generation of polymer-based fibers. This fabrication technique has gained great interest in the biomedical field in recent years due to its straightforward application and significant versatility of the resulting fiber mats. The process is carried out by dissolving a (biologically or synthetically derived) polymer or a combination of several polymers in a suitable inorganic or organic solvent and transferring these solutions into a syringe with a needle tip as a spinneret. The power source is connected to the syringe tip, allowing for the application of a high voltage to the polymer solution, and a metallic collector, often a rotating drum cylinder on which the yielded polymer fibers are deposited. The usual fiber diameters range between nano- and micrometers. The yielded fiber mats have distinct characteristics, such as a large surface area, mechanical stability, and good encapsulation efficiency. Therefore, the fiber mats can be used as a topical dosage form for a multitude of diseases (e.g., conjunctivitis, keratitis), as they can be easily applied on or into the human body to release the drug for a prolonged period of time. In addition, the fibers exhibit a high degree of resemblance with the human extracellular matrix, which consists predominantly of collagen fibrils. Therefore, the obtained fiber mats can also be employed as innovative substrates for the cultivation of cells. As a result, electrospinning is suitable for a wide range of applications in the biomedical context, specifically for the targeted, topical delivery of bioactives and also as a cell culture substrate for the cultivation of cells in an enhanced in vivo relevant situation.
One objective of this work was the development and characterization of drug-loaded electrospun fibers for application to the inflamed and infected eye to complement the existing therapy of eye drops as well as systemic administration of anti-infectives. In particular, the focus of the project was the development of ocular implants to treat a herpes simplex infection affecting the human cornea. Additionally, electrospun fibers, which immediately dissolve in the tear fluid upon application and prolong the contact time of the bioactives at the eye, were developed as a topical dosage form to treat bacterial conjunctivitis. An additional objective of this work was the development of electrospun fiber mats as an innovative substrate for the cultivation of human induced pluripotent stem cells to mimic the human blood-brain barrier in vitro. The final objective of the present work was establishing an analytical concept for the comprehensive characterization of electrospun fibers to obtain a greater comparability and reproducibility of data and results from different laboratories.
Herpes simplex keratitis is a viral disease of the cornea that can potentially lead to blindness. This disease commonly occurs after corneal transplantation. As the cornea is the most transplanted tissue worldwide, the incidence of this disease varies from 4.9% to 12.6% (high- and low-income countries). The current therapy involves the application of eye drops as many as six times a day, and in severe cases, the systemic use of antiviral agents is necessary but can cause serious side effects (e.g., renal failure). To prevent the occurrence of herpes simplex keratitis after transplantation, a biodegradable electrospun nanofiber mat with a sustained release of acyclovir was established. The rational development of the fibers was facilitated by correlating the surface wettability with the release kinetics of the individual polymers, which allowed for the successful generation of fiber mats releasing the bioactive acyclovir over three weeks. The molecularly dispersed drug is present as an amorphous solid dispersion within the PLGA-based polymer matrix. Evaluating the cell viability in in vitro models proved that neither acyclovir nor the polymers or the generated fiber mats caused any cytotoxicity. The mechanical stability of the fiber mats was evaluated to ensure adequate handling of the fibers during implantation. The findings demonstrated that the fiber mats exhibit direction-independent mechanical properties, and their mechanical load-bearing capacity is greater than that of an excised human cornea. As a result, the fiber mats are suitable for surgical implantation into the anterior chamber of the eye. An in vitro model of human keratinocytes was infected with herpes simplex virus to demonstrate the antiviral efficacy of the electrospun fiber mats. Immunostaining for two specific viral proteins demonstrated the spread of infection in the model. Hereby, it was found that the placebo- and drug-loaded fibers significantly slowed the spread of infection, which was quantified by plaque assay determination. This experiment revealed that the electrospun fibers exert a synergistic antiviral effect by simultaneously releasing acyclovir, which is a virustatic agent that inhibits the replication of the virus in infected cells, and adsorbing released viral particles onto the surface of the polymer fibers. This reduces the overall burden of released viral particles, which is associated with the severity of the infection outbreak. Thus, with the aid of electrospinning, an ocular implant was successfully generated, which is biodegradable over time and significantly reduces the viral particle burden in vitro. Hence, the fibers represent a potential alternative for the prevention of herpes simplex keratitis after corneal transplantation...
In this work I investigate two different systems - spin systems and charge-density-waves. The same theoretical method is used to investigate both types of system. My investigations are motivated by experimental investigations and the goal is to describe the experimental results theoretically. For this purpose I formulate kinetic equations starting from the microscopical dynamics of the systems.
First of all, a method is formulated to derive the kinetic equations diagrammatically. Within this method an expansion in equal-time connected correlation functions is carried out. The generating functional of connected correlations is employed to derive the method.
The first system to be investigated is a thin stripe of the magnetic insulator yttrium-iron-garnet (YIG). Magnons are pumped parametrically with an external microwave field. The motivation of my theoretical investigations is to explain the experimental observations. In a small parameter range close to the confluence field strength where confluence processes of two parametrically pumped magnons with the same wave vector becomes kinematically possible the efficiency of the pumping is reduced or enhanced depending on the pumping field strength. Because it is expected that that confluence and splitting processes of magnons are essential for the experimental observations I go beyond the kinetic theories that are conventionally applied in the context of parametric excitations in YIG and investigate the influence of cubic vertices on the parametric instability of magnons in YIG.
Furthermore, the influence of phonons is investigated. Usually in the literature these are taken into account as heat bath. Here, I want to explain experiments where an accumulation of magnetoelastic bosons - magnon-phonon-quasi-particles - has been observed. I employ the method of kinetic equations to investigate this phenomenon theoretically. The kinetic theory is able to reproduce the experimental observations and it is shown that the accumulation of magnetoelastic bosons is purely incoherent.
Finally, charge-density waves (CDW) in quasi-one-dimensional materials will be investigated. Charge-density waves emerge from a Peierls-instability and are a prime example for spontaneous symmetry breaking in solids. Again, the motivation for my theoretical investigations are an experiment where the spectrum of amplitude and phase phonon modes has been measured. Starting from the Fröhlich-Hamiltonian I derive kinetic equations and from these kinetic equations the equations of motion for the CDW order parameter can be derived. The frequencies and damping rates of amplitude and phase phonon modes will be derived from the linearized equations of motion. I compare my theory with existing methods. Furthermore, I also investigate the influence of Coulomb interaction.
This thesis investigates exotic phases within effective models for strongly interacting matter.
The focus lies on the chiral inhomogeneous phase (IP) that is characterized by a spontaneous breaking of translational symmetry and the moat regime, which is a precursor phenomenon exhibiting a non-trivial mesonic dispersion relation.
These phenomena are expected to occur at non-zero baryon densities, which is a parameter region that is mostly non-accessible to first-principle investigations of Quantum chromodynamics (QCD).
As an alternative approach, we consider the Gross-Neveu (GN) and Nambu-Jona-Lasinio (NJL) model within the mean-field approximation, which can be regarded as effective models for QCD.
We focus on two aspects of the moat regime and the IP in these models.
First, we investigate the influence of the employed regularization scheme in the (3+1)-dimensional NJL model, which is nonrenormalizable, i.e., the regulator cannot be removed.
We find that the moat regime is a robust feature under change of regularization scheme, while the IP is sensitive to the specific choice of scheme.
This suggests that the moat regime is a universal feature of the phase diagram of the NJL model, while the IP might only be an artifact of the employed regulator.
Second, we study the influence of the number of spatial dimensions on the emergence of the IP.
To this end, we investigate the GN model in noninteger spatial dimensions d.
We find that the IP and the moat regime are present for d < 2, while they are absent for d > 2.
This demonstrates the central role of the dimensionality of spacetime and illustrates the connection of previously obtained results in this model in integer number of spatial dimensions.
Moreover, this suggests that the occurrence of these phenomena in three spatial dimensions is solely caused by the finite regulator.
In summary, this thesis contributes to advancing our understanding of the phase structure of QCD, particularly regarding the existence and characteristics of inhomogeneous phases and the moat regime.
Even though the investigations are performed within effective models, they provide valuable insight into the aspects that are crucial for the formation of an inhomogeneous chiral condensate in fermionic theories.
In this thesis, we present a detailed consideration of both qualitative and quantitative properties of static spherically symmetric solutions of the Einstein equations with self-interacting scalar fields. Our focus is on solutions with naked singularities. We study the qualitative properties of the solutions of the Einstein equations with real static self-interacting $N$ scalar fields, making some assumptions on self-interaction. We provide a rigorous proof that the corresponding solutions will be regular up to $r=0$. Furthermore, we find the rigorous form of asymptotic solutions near the singularity and at spatial infinity. We construct some examples of spherical-like naked singularities at $r=r_s\neq0$ in curvature coordinates.
We analyze the stability of the previously considered solutions against odd-parity gravitational perturbations and also examine the fundamental quasi-normal modes spectra. For the general class of the self-interaction potential, we demonstrate well-posedness of the initial problem and stability for positively defined potentials. As an example, we numerically study the case of the scalar field with power-law self-interaction potential and find the fundamental quasi-normal modes frequencies. We demonstrate that they differ from the standard Schwarzschild black hole case.
We study in detail the motion of particles in the vicinity of previously considered solutions. Mainly, we are interested in considering properties of the distribution of stable circular orbits around the corresponding configurations and images of the accretion disk for a distant observer. For all cases, we find possible types of stable circular orbit distributions and domains of parameters where they are realized.
We also demonstrate that the presence of self-interaction can lead to a new type of circular orbit distributions, which is absent in the linear massless scalar field case. We build Keplerian disk images in the plane of a distant observer and demonstrate the possibility to mimic the shadows of black holes.
By combining two unique facilities at the Gesellschaft fuer Schwerionenforschung (GSI), the Fragment Separator (FRS) and the Experimental Storage Ring (ESR), the first direct measurement of a proton capture reaction of stored radioactive isotopes was accomplished. The combination of well-defined ion energy, an ultra-thin internal gas target, and the ability to adjust the beam energy in the storage ring enables precise, energy-differentiated measurements of the (p,gamma) cross sections. The new setup provides a sensitive method for measuring (p,gamma) reactions relevant for nucleosynthesis processes in supernovae, which are among the most violent explosions in the universe and are not yet well understood. The cross sections of the 118Te(p,gamma) and 124Xe(p,gamma) reactions were measured
at energies of astrophysical interest. The heavy ions were stored with energies of 6 MeV/nucleon and 7 MeV/nucleon and interacted with a hydrogen gas-jet target.
The produced proton-capture products were detected with a double-sided silicon strip detector. The radiative recombination process of the fully stripped ions and electrons from the hydrogen target was used as a luminosity monitor.
Additionally, post-processing nucleosynthesis simulations within the NuGrid [1] research platform have been performed. The impact of the new experimental results on the p-process nucleosynthesis around 124Xe and 118Te in a core-collapse supernova was investigated. The successful measurement of the proton capture cross sections of radioactive isotopes rises the motivation to proceed with experiments in lower energy regions.
[1] M. Pignatari and F. Herwig, “The nugrid research platform: A comprehensive simulation approach for nuclear astrophysics,” Nuclear Physics News, vol. 22, no. 4, pp. 18–23, 2012.
In this thesis, the early time dynamics in a heavy ion collision of Pb-Nuclei at LHC center-of-mass energies of 5 TeV is studied. Right after the collision the system is out-of-equilibrium and essentially gluon dominated, with their density saturating at a specific momentum scale Q_s. Based on a separation of scales for the soft and hard gluonic degrees of freedom, the initial state is given from an effective model, known as the Color Glass Condensate. Within this model, the soft gluons behave classical to leading order, making it possible to study their dynamics in gauge invariant fashion on a three dimensional lattice, solving Hamiltonian field equations of motion, keeping real time. Quark-Antiquark pairs are produced in the gluonic medium, known as the Glasma and manifest themselves as a source of quantum fluctuations.
They enter the dynamics of the gluons as a current, making the system semi-classical. In lattice simulations, the non-equilibrium system is tested for pressure isotropization, which is a necessary ingredient to reach a local thermal equilibrium (LTE), making a hydrodynamical description at a later stage possible. In addition, the occupation of energy modes is studied with its implications on thermalization and classicality.
A central concern in genetics is to identify mechanisms of transcriptional regulation. The aim is to unravel the mapping between the DNA sequence and gene expression. However, it turned out that this is extremely complex. Gene regulation is highly cell type-specific and even moderate changes in gene ex- pression can have functional consequences.
Important contributors to gene regulation are transcription factors (TFs), that are able to directly interact with the DNA. Often, a first step in understanding the effect of a TF on the gene’s regulation is to identify the genomic regions a TF binds to. Therefore, one needs to be aware of the TF’s binding preferences, which are commonly summarized in TF binding motifs. Although for many TFs the binding motif is experimentally validated, there is still a large number of TFs where no binding motif is known. There exist many tools that link TF binding motifs to TFs. We developed the method Massif that improves the performance of such tools by incorporating a domain score that uses the DNA binding domain of the studied TF as additional information.
TF binding sites are often enriched in regulatory elements (REMs) such as promoters or enhancers, where the latter can be located megabases away from its target gene. However, to understand the regulation of a gene it is crucial to know where the REMs of a gene are located. We introduced the EpiRegio webserver that holds REMs associated to target genes predicted across many cell types and tissues using STITCHIT, a previously established method. Our publicly available webserver enables to query for REMs associated to genes (gene query) and REMs overlapping genomic regions (region query). We illus- trated the usefulness of EpiRegio by pointing to a TF that occurs enriched in the REMs of differential expressed genes in circPLOD2 depleted pericytes. Further, we highlighted genes, which are affected by CRISPR-Cas induced mutations in non-coding genomic regions using EpiRegio’s region query. Non-coding genetic variants within REMs may alter gene expression by modifying TF binding sites, which can lead to various kinds of traits or diseases. To understand the underlying molecular mechanisms, one aims to evaluate the effect of such genetic variations on TF binding sites. We developed an accurate and fast statistical approach, that can assess whether a single nucleotide polymorphism (SNP) is regulatory. Further, we combined this approach with epigenetic data and additional analyses in our Sneep workflow. For instance, it enables to identify TFs whose binding preferences are affected by the analyzed SNPs, which is illustrated on eQTL datasets for different cell types. Additionally, we used our Sneep workflow to highlight cardiovascular disease genes using regulatory SNPs and REM-gene interactions.
Overall, the described results allow a better understanding of REM-gene interactions and their interplay with TFs on gene regulation.
Understanding the brain's proactive nature and its ability to anticipate the future has been a longstanding pursuit in philosophy and scientific research. The predictive processing framework explains how the brain generates predictions based on environmental regularities and adapts to both predicted and unpredicted events. Prediction errors (PE) occur when sensory evidence deviates from predictions, triggering cognitive and neural processes that enhance learning and subsequent memory. However, the effects of PE on episodic memory have not been clearly explained. This dissertation aims to address three key questions to advance our understanding of PE and episodic memory. First, how does the degree of PE influence episodic memory, and how do expected and unexpected events interact in this process? Second, what insights can be gained from studying the electrophysiological activity associated with prediction violations, and what role does PE play in subsequent memory benefits? Lastly, how do memory processes change across the lifespan, and how does this impact the brain's ability to remember events? By answering these questions, this dissertation contributes to advancing our understanding of the cognitive and neural mechanisms underlying the relationship PE and episodic memory.
Das Experiment ALICE (A Large Ion Collider Experiment) am CERN (Conseil Européen pour la Recherche Nucléaire) LHC (Large Hadron Collider) fokussiert sich auf die Untersuchung stark wechselwirkender Materie unter extremen Bedingungen. Solche Bedingungen existierten wenige Mikrosekunden nach dem Urknall, als die Temperaturen so hoch waren, dass Partonen (Quarks und Gluonen) nicht zu farbneutralen Hadronen gebunden waren. In solch einem Quark-Gluon-Plasma können sich die Partonen frei bewegen, wobei sie allerdings mit anderen Partonen aus dem Medium stark wechselwirken. Am LHC werden Bleikerne auf ultra-relativistische Energien von bis zu 2.68 TeV beschleunigt und zur Kollision gebracht, wobei für weniger als 10 fm/c ein QGP entsteht, das schnell expandiert. Die Partonen hadronisieren, wenn das QGP sich auf Temperaturen von weniger als der Phasenübergangstemperatur von ≈155MeV abkühlt. Die finalen Teilchen- und Impulsverteilungen werden werden vom ALICE Detektor gemessen und geben Aufschluss auf elementare Prozesse im QGP.
Die TPC (Time Projection Chamber ) ist eines der wichtigsten Detektorsysteme von ALICE. Sie trägt maßgeblich zur Rekonstruktion von Teilchenspuren und zur Identifikation der Teilchensorten bei mittleren Rapiditäten bei. Die TPC ist eine große zylindrische Spurendriftkammer und besteht aus einem 88mˆ3 großen Gasvolumen, das von der zentralen Hochspannungselektrode in zwei Seiten geteilt wird. Durchquert ein Teilchen das Gasvolumen, ionisiert es entlang seiner Spur eine spezifische Menge von Gasatomen. Die Ionisationselektronen driften entlang des extrem homogenen elektrischen Feldes zu den Auslesekammern an den Endkappen auf beiden Seiten der TPC. Die Messung der Position und der Menge der Ionisationselektronen erlaubt die Rekonstruktion der Teilchenspur sowie, in Kombination mit der Impulsmessungen über die Krümmung der Teilchenspur im Magnetfeld, die Bestimmung der Teilchensorte über den spezifischen Energieverlust pro Wegstrecke im Gas. Das Gasvolumen der TPC war in LHC Run 1 (2010–2013) mit Ne-CO_2 (90-10) gefüllt. Die Gasmischung wurde zu Ar-CO_2 (88-12) für Run 2 (2015–2018) geändert. Als Auslesekammern wurden Vieldrahtproportionalkammern verwendet, die aus einer segmentierten Ausleseebene, einer Anodendrahtebene, einer Kathodendrahtebene und einem Gating-Grid (GG) bestehen. Das GG is eine zusätzliche Drahtebene, die durch zwei verschiedene Spannungseinstellungen transparent oder undurchlässig für Elektronen und positive Ionen geschaltet werden kann.
In den ersten Daten von Run 2 bei hohen Interaktionsraten wurden große Verzerrungen der gemessenen Spurpunkte beobachtet, die auf Grund von Verzerrungen des Driftfeldes auftreten und nicht von Daten aus Run 1 bekannt waren. Diese Verzerrungen treten nur sehr lokal an den Grenzen von manchen der inneren Auslesekammern (IROCs) auf. Zudem wurden auch große Verzerrungen in einer (C06) der äußeren Auslesekammern (OROCs) festgestellt, die sich bei einem bestimmten Radius über die ganze Breite der Kammer erstrecken. Die Ergebnisse dieser Arbeit befassen sich mit der Untersuchung jener Verzerrungen und ihrer Ursache, sowie mit der Entwicklung von Strategien um die Verzerrungen zu minimieren.
Messungen der Verzerrungen in den IROCs und Vergleiche mit Simulationen lassen darauf schließen, dass die Verzerrungen von positiver Raumladung hervorgerufen werden, die durch Gasverstärkung an sehr begrenzten Regionen der Auslesekammern entsteht und sich durch das Driftvolumen bewegt. Es werden charakteristische Abhängigkeiten von der Interaktionsrate sowie systematische Veränderungen bei Umkehrung der Orientierung des Magnetfeldes gemessen. Eine erneute Analyse von Run 1 Daten mit den Methoden aus Run 2 zeigt, dass die Verzerrungen bereits in Run 1 auftraten, jedoch durch die Ne-Gasmischung und niedrigere Interaktionsraten um eine Größenordnung kleiner waren. Neue Daten aus Run 2, für die die Gasmischung zeitweise wieder von Ar-CO_2 zu Ne-CO_2- N_2 geändert wurde, bestätigen die Ergebnisse der Run 1 Datenanalyse. Der Ursprung der Raumladung wird systematisch eingegrenzt. Es werden einzelne IROCs identifiziert, an deren Anodendrähten die Raumladung entsteht. Physikalische Modelle ermöglichen es, die Entstehung der Raumladung auf das Volumen zurückzuführen, das sich zwischen zwei IROCs befindet. Damit besteht die Vermutung, dass einzelne Spitzen von Anodendrähten am äußeren Rand dieser IROCs in das Gasvolumen hineinragen und somit hohe elektrische Felder erzeugen, an denen Gasverstärkung stattfindet. Die positiven Ionen können dann ungehindert in das Driftvolumen gelangen. Um diesen Effekt zu unterdrücken, wird das Potential der Cover-Elektroden angepasst, die sich auf den Befestigungsvorrichtungen der Drahtebenen an den Kammerrändern befinden. Dadurch kann die Menge von Ionisationselektronen, die in das Volumen zwischen zwei IROCs hineindriftet und vervielfacht wird, eingeschränkt werden. Über elektro-statische Simulationen und Messungen wird eine Einstellung für das Cover-Elektroden-Potential gefunden, mit der die Verzerrungen auf 30 % reduziert werden können. Die Verzerrungen in OROC C06 entstehen durch positive Ionen, die aus der Verstärkungsregion in das Driftvolumen gelangen, da an dieser bestimmten Stelle zwei aufeinanderfolgende GG-Drähte den Kontakt verloren haben. Die Verzerrungen werden um mehr als einen Faktor 3 reduziert, indem die Hochspannung der Anodendrähte um 50 V und somit der Gasverstärkungsfaktor um einen Faktor 2 verringert wird und indem das Potential der noch funktionierenden GG-Drähte erhöht wird.
Zusammenfassend konnten die lokalen Raumladungsverzerrungen für die letzte Pb−Pb Strahlzeit von Run 2 auf weniger als 1cm bei den höchsten Interaktionsraten verringert werden. Zudem wurde der Anteil des von Raumladungsverzerrungen betroffenen Volumens der TPC signifikant verringert, sodass die ursprüngliche Auflösung der Spurrekonstruktion wieder erreicht werden konnte.
Influenza is a contagious respiratory disease caused by influenza A and influenza B viruses. The World Health Organisation (WHO) reports that annual influenza epidemics result in approximately 1 billion infections, 3 to 5 million severe cases, and 300 to 650 thousand deaths. Understanding hidden mechanisms that lead to optimal vaccine efficacy and improvement antiviral treatment strategies remain continuous and central tasks. First, regarding the immune response to vaccines and natural infections, the antibody response echoes the dynamics of diverse immune elements such as B-cells, and plasma cells. Also, responses reflect the processes for B-cells to gain and adapt affinity for the virus. Antibodies (Abs) that respond to the virus surface proteins, particularly to the hemagglutinin (HA), have been identified to protect against infection. The Abs responses binding to HA can be broadly protective as this protein is considerably accessible on the virion. When following sequential infections with similar influenza strains, i.e. two infections with different strains of a subtype, an enhanced breadth and magnitude of Abs response is developed, mainly after the second infection. The effect of being effective to new strains is called Abs cross-reaction.
On the other hand, as for antiviral treatment, the WHO currently approves the use of neuraminidase inhibitors (NIs) such as zanamivir and oseltamivir. Diverse research areas such as system biology, learning-based methods, control theory, and systems pharmacology have guided the development of modern treatment schemes. To do so, mathematical models are used to describe a wide range of phenomena such as viral pathogenesis, immune responses, and the drug's dynamics in the body. Drug dynamics are usually expressed in two phases, pharmacokinetics (PK) and pharmacodynamics (PD) - the PK/PD approach. These schemes leverage pre-clinical and clinical data through modeling and simulation of infection and drug effects at diverse levels. Under such a framework, control-based scheduling systems seek to tailor optimal antiviral treatment for infectious diseases. Thus, influenza treatment can be theoretically studied as a control-based optimization duty (about systems stability, bounded inputs, and optimality). Finally, towards real-world implementation, learning-based methods such as neural networks (NNs) can guide solving issues on the control-based performance. Using NNs as identifiers provide a setting to deal with infrequent measures and uncertain parameters for the control systems.
This thesis theoretically explores central mechanisms in influenza infection via modeling and control approaches. In the first project, we explore how and to what extent antibody-antigen affinity flexibility could guide the Abs cross-reaction in two sequential infections using a hypothetical family of antigens. The set of antigens generally represent strains of influenza, such as those of a subtype. Each antigen is composed of a variable and a conserved area, generically representing the structures of the HA, head, and stalk, respectively. We test diverse scenarios of affinity thresholds in the conserved and variable areas of the antigens. The Abs response reaches a high magnitude when using equivalent affinity thresholds in the conserved and variable areas during the first infection. However, improved cross-reaction is developed when slightly increasing the affinity threshold of the variable area for the second infection. Key mutations via affinity maturation is a feature that, together with affinity flexibility between infections, guides Abs cross-reaction in the model outcome. These results could correlate with studies pointing out that broad responses might be dependent on reaching specific mutations for getting affinity to a newly presented antigen while broadly reaching related antigens. The general platform may serve as a proof-of-concept for exploring fundamental mechanisms that favor the Abs cross-reaction.
In a second project, theoretical schemes are developed to combine impulsive and inverse optimal control strategies to address antiviral treatment scheduling. We present results regarding stability, passivity, bounded inputs, and optimality using impulsive action. The study is founded on mathematical models of the influenza virus (target-cell limited model) adjusted to data from clinical trials. In these studies, participants were experimentally infected with influenza H1N1 and treated with NIs. Results show that control-based strategies could tailor dosage and reduce the amount of medication by up to 44%. Also, control-based treatment reaches the efficacy (98%) of the current treatment recommendations by the WHO. Monte Carlo simulations (MCS) disclose the robustness of the proposed control-based techniques. Using MCS, we also explore the applicability to the individualized treatment of infectious diseases through virtual clinical trials. Furthermore, bounded control strategies are applied directly in drug dose estimation accounting for overdose prevention. Finally, due to the limitations of the available technology intended for clinical practice, we emphasize the necessity of developing system identifiers and observers for real-world applications.
In the third project, the problem of data scarcity and infrequent measures in the real world is handled by means of learning-based methods. System identification is derived using a Recurrent High Order Neural Network (RHONN) trained with the Extended Kalman filter (EKF). Lessons learned from impulsive control frameworks are taken to develop a neural inverse optimal impulsive control --neurocontrol. The treatment efficacy is tested for early (one day post-infection) and late (2 to 3 days post-infection) treatment initiation. The neurocontrol reaches an efficacy of up to 95% while saving almost 40% of the total drug in the early treatment. Robustness is tested via virtual clinical trials using MCS.
Lastly, taking all together, the schemes developed in this thesis for modeling the Abs cross-reaction and control-based treatment tailoring can be extended and adapted to explore similar phenomena in different respiratory pathogens, such as SARS-CoV-2.
Molecular oxygen (O2) is essential for numerous metabolic processes. Not surprisingly, hypoxia and the resulting adaptations play a pivotal role in pathophysiology, e.g., in cancer or in inflammatory diseases. Of note, myeloid cells are known to accumulate in hypoxic regions such as tumor cores or rheumatoid arthritis joints and may contribute to disease progression. While most studies so far concentrated on transcriptional adaptation by the hypoxia-inducible factors (HIF) 1 and 2 under short term hypoxia, prolonged oxygen deprivation and alternative post-transcriptional regulation are rather poorly investigated.
Consequently, the aim of the study was to generate a comprehensive overview of mRNA de novo synthesis and degradation and its contribution to total mRNA changes in monocytic cells in the course of hypoxia.
To this end, I used thiol-linked alkylation for the metabolic sequencing of RNA (SLAM-Seq) to characterize RNA dynamics under hypoxia. Specifically, I labeled monocytic THP-1 cells under normoxia (N), acute hypoxia (AH; 8 h 1% O2), or chronic hypoxia (CH; 72 h 1% O2) with 4-thiouridine (4sU), which allows for transcriptome-wide identification of de novo synthesized mRNAs and estimation of their half-lives. Total mRNA expression analyses revealed that most changes occurred under CH. Considering that HIF accumulation and resulting transcriptional regulation was shown to decline again under CH, I further analyzed the impact of RNA stability on gene expression. I observed a global reduction in RNA half-lives under hypoxia, indicative for the attenuation of energy-consuming protein synthesis upon oxygen deprivation. Moreover, I observed a subgroup of hypoxic destabilized transcripts with resulting decreased mRNA expression under CH, which consisted of 59 nuclear-encoded mitochondrial mRNAs. This might prevent futile production of new mitochondria under conditions, where mitochondria are even actively degraded to prevent production of detrimental reactive oxygen species.
While stability-regulated transcripts were mainly destabilized under hypoxia, the vast majority of differentially de novo synthesized transcripts were upregulated.
Functional analyses revealed not only hypoxia, but also cholesterol homeostasis and inflammatory response as top enriched terms, corroborating findings on total mRNA level. Focusing on hypoxia-altered cholesterol metabolism, I observed an 9 accumulation of early and a decrease in late cholesterol precursors, which are separated by several oxygen-dependent enzymatic steps. Although total cholesterol levels were only slightly reduced, my data indicate locally lowered endoplasmic reticulum (ER) cholesterol levels under hypoxia, which cause feedback activation of the ER cholesterol-sensing transcription factor sterol regulatory element-binding protein 2 (SREBP2) and induction of cholesterol biosynthesis enzymes. Interestingly, a broad range of interferon-stimulated genes (ISGs), mainly known for their antiviral function, was also induced under hypoxia with similar kinetics as SREBP2 targets, suggesting an immunometabolic crosstalk. While the availability of certain cholesterol biosynthesis intermediates as well as a direct involvement of SREBP2 seemed rather unlikely to cause hypoxic ISG induction, changes in intracellular cholesterol distribution appeared crucial for the hypoxic induction of chemokine-ISGs. Mechanistically, I found that MyD88-dependent toll-like receptor 4 (TLR4) signaling contributes to enhanced hypoxic ISG induction, likely sensitized by changes in cholesterol dynamics. Importantly, hypoxia amplified induction of chemokine-ISGs in monocytes upon treatment with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) spike protein via TLR4 similarly as after addition of infectious virus, which might contribute to systemic inflammation in hypoxemic patients with severe coronavirus disease-2019 (COVID-19).
Taken together, I comprehensively analyzed RNA dynamics in hypoxic monocytes. Specifically, I identified RNA stability as a modulating mechanism to limit production of mitochondria under oxygen-restricted conditions. Moreover, I characterized the immunometabolic crosstalk between disturbed cholesterol homeostasis and spontaneous induction of interferon (IFN)-signaling in hypoxic monocytes, which might contribute to systemic inflammation in severe cases of COVID-19.
Aim: The cytochrome P450 reductase (POR) along with the cytochrome P450 enzymes (CYP) are responsible for the metabolism of a multitude of metabolites important for the maintenance of tissue function. Defects in this system have been associated with cardiovascular diseases. These enzymes are known to produce vasoactive lipids that modulate vascular tone. The aim of this study was to identify the consequence of a loss in endothelial POR for vascular function.
Methods and Results: To identify the endothelial contribution of the POR/CYP450 system to vascular function, we generated an endothelial-specific, tamoxifen-inducible POR knockout mouse (ecPOR-/-). Under basal condition ecPOR-/- already exhibited endothelial dysfunction in aorta and mesenteric vessels (acetylcholine-dependent relaxation, LogEC50 -7.6M for CTR vs. -7.2M for ecPOR-/- in aorta) and lower nitric oxide levels in the plasma (CTR: 236.8 ±77.4; ecPOR-/- 182.8 ±34.1 nmol/L). This dysfunction was coupled to attenuated eNOS function detected by the heavy arginine assay and decreased eNOS phosphorylation on S1177. Furthermore, insulin-induced phosphorylation of the eNOS activator, AKT, was also attenuated in the aorta from ecPOR-/- mice as compared to control mice. CYP450-dependent EET production was lower in plasma, lung and aorta of ecPOR-/- mice and this was accompanied with increased levels of vasoconstriction prostanoids (lipidomics of aorta, plasma and lung freshly isolated from CTR and ecPOR-/- mice). MACE-RNAseq from these aortas also showed a significant increase in genes annotated to eicosanoid production. In an in vivo angiotensin II model, acute deletion of POR increased the blood pressure as measured by telemetry and tail cuff (137.4 ± 15.9 mmHg in WT; 152.1 ± 7.154 mmHg in ecPOR-/-). In a rescue experiment using the NSAID naproxen, the increase in blood pressure induced by deletion of endothelial POR was abolished.
Conclusion: Collectively, in endothelial cells POR regulates eNOS activity and orchestrates the metabolic fate of arachidonic acid towards the vessel dilating EETs and away from deleterious prostanoids. In the absence of POR this endothelial regulation is compromised leading to vascular dysfunction.
The role of USP22 in nucleic acid sensing pathways and interferon-induced necroptotic cell death
(2023)
Every day, living organisms are challenged by internal and external factors that threaten to bring imbalance to their tightly regulated systems and disrupt homeostasis, leading to degeneration, and ultimately death. More than ever, we face the challenge of combating diseases such as COVID-19 caused by infection with the SARS-CoV-2 coronavirus. It is therefore crucial to identify host factors that control antiviral defense mechanisms. In addition, in the fight against cancer, it is becoming increasingly important to identify markers that could be used for targeted therapy to influence cellular processes and determine cell fate.
As a deubiquitylating enzyme, ubiquitin specific peptidase 22 (USP22) mediates the removal of the small molecule ubiquitin, which is post-translationally added to target proteins, thereby regulating several important processes such as protein degradation, activation or localization. Through its deubiquitylating function, USP22 controls several biological processes such as cell cycle regulation, proliferation and cancer immunoresistance by modulating key proteins involved in these pathways. Lately, USP22 was reported to positively regulate TNFα-mediated necroptosis, an inflammatory type of programmed cell death, in various human tumor cell lines by affecting RIPK3 phosphorylation. In addition, USP22 as a part of the Spt-Ada-Gcn5 acetyltransferase (SAGA) transcription complex is known to regulate gene expression by removing ubiquitin from histones H2A and H2B. However, little is known about the role of USP22 in global gene expression.
In this study, we performed a genome-wide screen in the human colon carcinoma cell line HT-29 and identified USP22 as a key negative regulator of basal interferon (IFN) expression. We further demonstrated that the absence of USP22 results in increased STING activity and ubiquitylation, both basally and in response to stimulation with the STING agonist 2'3'-cGAMP, thereby affecting IFNλ1 expression and basal expression of antiviral ISGs. In addition, we were able to establish USP22 as a critical host factor in controlling SARS-CoV-2 infection by regulating infection, replication, and the generation of infectious virus particles, which we attribute in part to its role in regulating STING signaling.
In the second part of the study, we connected the findings of USP22-dependent regulation of IFN signaling and TNFα-induced necroptosis and investigated the role of USP22 during necroptosis induced by the synergistic action of IFN and the Smac mimetic BV6 in caspase-deficient settings. We identified USP22 as a negative regulator of IFN-induced necroptosis, which does not depend on STING expression, but relies on a yet unknown mechanism.
In summary, we identify USP22 as an important regulator of IFN signaling with important implications for the defense against viral infections and regulation of the necroptotic pathway that could be exploited for devising targeted therapeutic strategies against viral infections and related diseases like COVID-19, and advancing precision medicine in cancer treatment.
Necroptosis is an immunogenic form of programmed cell death characterized by plasma membrane accumulation of activated mixed lineage kinase domain-like (MLKL) that eventually leads to membrane disruption and release of danger-associated molecular patterns (DAMPs). Necroptotic cell death is tightly controlled by checkpoints, including compartmentalization as well as post-translational modifications (PTMs), like phosphorylation and ubiquitination of receptor-interacting protein kinase (RIPK) 1, RIPK3 and MLKL. Removal of plasma membrane-located activated MLKL via endocytosis or exocytosis can counteract necroptosis, but up till now, the exact mechanisms by which necroptosis is regulated downstream of MLKL activation and oligomerization are not fully understood.
Ubiquitination is a key post-translational modification that regulates various cellular processes including cell survival and cell death signaling via ubiquitination of RIPK1, RIPK3 and MLKL. M1-linked (linear) poly-ubiquitination is mediated exclusively by the linear ubiquitin chain assembly complex (LUBAC) which critically regulates cell fate and immune signaling via death receptors such as TNF receptor 1 (TNFR1).
In this study, we demonstrate that M1 poly-Ubiquitin (poly-Ub) increases during necroptosis which can be blocked by inhibition of LUBAC activity with the small-molecule HOIL-1-interacting protein (HOIP) inhibitor HOIPIN-8 or by loss of LUBAC catalytic subunit HOIP. Intriguingly, HOIPIN-8, as well as the HOIP inhibitor gliotoxin, and HOIP knockdown effectively prevent TNFα/smac mimetic/zVAD.fmk-induced necroptotic cell death in cells of human origin, without affecting necroptotic RIPK1 and RIPK3 phosphorylation, necrosome formation and oligomerization of phosphorylated MLKL. We demonstrate that HOIPIN-8 treatment inhibits MLKL translocation to intracellular membranes and accumulation in plasma membrane hotspots as well as MLKL exocytosis. We further confirm that HOIPIN-8 treatment suppresses necroptotic cell death in primary human pancreatic organoids (hPOs). Using time-lapse imaging and live/dead staining, we demonstrate loss of organoid structure and hPO cell death induced by smac mimetics and caspase inhibitors, thus providing a novel platform to investigate necroptosis in near physiological settings. Inhibition of LUBAC activity with HOIPIN-8 prevents hPO collapse and extends cell viability. Of note, loss of the M1 Ub-targeting deubiquitinating enzymes (DUBs) OTU DUB with linear linkage specificity (OTULIN) and cylindromatosis (CYLD) in human cell lines does not affect necroptosis induction and HOIPIN-8-mediated rescue of necroptosis. Intriguingly, inhibition of LUBAC activity with HOIPIN-8 does not block necroptotic cell death in murine cell lines.
Using massive analyses of cDNA ends (MACE)-seq-based global transcriptome analysis we confirm that necroptosis induces a pro-inflammatory cytokine profile which is dependent on LUBAC function and necroptotic signaling. Loss of LUBAC activity prevents the MLKL-dependent production and release of pro-inflammatory cytokines and chemokines.
Finally, we identify Flotillin-1 and -2 (FLOT1/2) as putative targets of necroptosis-induced M1 poly-Ub. Ubiquitin-binding in ABIN and NEMO (UBAN)-based pulldowns of M1 poly-ubiquitinated proteins revealed enrichment of FLOTs after necroptosis induction which is dependent on LUBAC activity and can be blocked with necroptosis inhibitors Nec-1s, GSK’872 and NSA, targeting RIPK1, RIPK3 and MLKL, respectively. Of note, loss of FLOT1/2 potentiates necroptosis suppression induced by LUBAC inhibition with HOIPIN-8.
Together, these findings identify LUBAC-mediated M1 poly-Ub as an important mediator of necroptosis and identify FLOTs as novel putative targets of LUBAC-mediated M1 poly-Ub during necroptosis. In addition, by modeling necroptosis in primary human organoids, we further expand the spectrum of experimental models to study necroptosis in human cellular settings.
This dissertation is concerned with the task of map-based self-localization, using images of the ground recorded with a downward-facing camera. In this context, map-based (self-)localization is the task of determining the position and orientation of a query image that is to be localized. The map used for this purpose consists of a set of reference images with known positions and orientations in a common coordinate system. For localization, the considered methods determine correspondences between features of the query image and those of the reference images.
In comparison with localization approaches that use images of the surrounding environment, we expect that using images of the ground has the advantage that, unlike the surrounding, the visual appearance of the ground is often long-term stable. Also, by using active lighting of the ground, localization becomes independent of external lighting conditions.
This dissertation includes content of several published contributions, which present research on the development and testing of methods for feature-based localization of ground images. Our first contribution examines methods for the extraction of image features that have not been designed to be used on ground images. This survey shows that, with appropriate parametrization, several of these methods are well suited for the task.
Based on this insight, we develop and examine methods for various subtasks of map-based localization in the following contributions. We examine global localization, where all reference images have to be considered, as well as local localization, where an approximation of the query image position is already known, which allows for disregarding reference images with a large distance to this position.
In our second contribution, we present the first systematic comparison of state-of-the-art methods for ground texture based localization. Furthermore, we present a method, which is characterized by its usage of our novel feature matching technique. This technique is called identity matching, as it matches only those features with identical descriptors, in contrast to the state-of-the-art that also matches features with similar descriptors. We show that our method is well suited for global and local localization, as it has favorable scaling with the number of reference images considered during the localization process. In another contribution, we develop a variant of our localization method that is significantly faster to compute, as it applies a sampling approach to determine the image positions at which local features are extracted, instead of using classical feature detectors.
Two further contributions are concerned with global localization. The first one introduces a prediction model for the global localization performance, based on an evaluation of the local localization performance. This allows us to quickly evaluate any considered parameter settings of global localization methods. The second contribution introduces a learning-based method that computes compact descriptors of ground images. This descriptor can be used to retrieve the overlapping reference images of a query image from a large set of reference images with little computational effort.
The most recent contribution included in this dissertation presents a new ground image database, which was recorded with a dedicated platform using a downward-facing camera. In addition to the data, we also explain our guidelines for the construction of the platform. In comparison with existing databases, our database contains more images and presents a larger variety of ground textures. Furthermore, this database enables us to perform the first systematic evaluation of how localization performance is affected by the time interval between the point in time at which the reference images are recorded and the point in time at which the query image is recorded. We find out that for outdoor areas all ground texture based localization methods have reliability issues, if the time interval between the recording of the query and reference images is large, and also if there are different weather conditions. These findings point to remaining challenges in ground texture base localization that should be addressed in future work.
Matroids are combinatorial objects that generalize linear independence. A matroid can be represented geometrically by its Bergman fan and we compare the symmetries of these two objects. Sometimes, the Bergman fan has additional automorphisms, which are related to Cremona transformations in projective space. Their existence depends on a combinatorial property of the matroid, as has been shown by Shaw and Werner, and we study the consequences for the structure of such matroids. This allows us to gain a better understanding of the so-called Cremona group of a matroid and we apply our results to root system matroids.
Um sich an ändernde Umwelteinflüsse und metabolische Bedürfnisse anpassen zu können, ist es für Zellen essenziell, dass Boten-RNA (engl. messenger RNA, mRNA) stetig und schnell nach der Translation abgebaut wird. In Prokaryoten ist dafür der Proteinkomplex Degradosom verantwortlich, in dem Endo- und Exoribonukleasen RNase E und PNPase das RNA-Transkript in kleinere Fragmente und schließlich einzelne Nukleotide spalten. Die DEAD-Box Helikase RhlB im Komplex dient zusätzlich dazu, mögliche Sekundärstrukturen in der RNA zu entfalten, welche sonst die weitere Degradation behindern würden. Es konnte gezeigt werden, dass RhlB’s sehr geringe katalytische Aktivität – gemessen durch ATP-Verbrauch und Rate an entwundener RNA – signifikant durch die allosterische Bindung an Komplexpartner RNase E erhöht wird. Gleichzeitig deuten andere Studien darauf hin, dass RhlB eine mögliche Selektivität für doppelsträngige RNA-Substrate mit 5‘-Einzelstrang-Überhängen aufweist.
Diese Arbeit liefert neue Erkenntnisse in Bezug auf die Kommunikation zwischen den Degradosom-Komponenten RhlB und RNase E aus E. coli, indem das potenzielle Wechselspiel zwischen RhlBs RNA-Selektivität und der allosterischen Aktivierung durch RNase E untersucht wurde. Der vielseitige Einsatz NMR-spektroskopischer Techniken sowie die Verwendung kurzer RNA-Substrate mit spezifischen Strang-Eigenschaften ermöglicht es, mit einen ungewöhnlichen, RNA-zentrierten Ansatz an diese unzureichend verstandene Protein-Interaktion heranzugehen.
Zunächst wurden hierzu eine Reihe kurzer doppelsträngiger RNA-Konstrukte hergestellt, die sich nicht nur in ihren Einzelstrang-Merkmalen unterscheiden, sondern auch die thermodynamischen Anforderungen eines DEAD-Box Helikase Substrats erfüllen, und gleichzeitig eine ausreichende NMR-spektroskopische Signal-Zuordnung erlauben. Die thermale Stabilität, das Faltungsverhalten sowie die 1H Imino-protonen- und 13C HSQC-Zuordnungen aller geeigneten Konstrukte wurden erfolgreich bestimmt.
Um den Einfluss spezifischer RNA-Substrate sowie die Bindung zweier verschiedener RNase E Fragmente auf RhlBs ATP-Umsatzrate zu untersuchen, wurde sich zunächst eines photometrischen Phosphat-Assays bedient. Damit konnte deutlich gezeigt werden, dass RhlB in Abwesenheit des Komplex-Partners nicht in der Lage ist, signifikante Mengen an ATP umzusetzen, unabhängig davon, welches RNA-Konstrukt eingesetzt wird. Die Bindung der RNase E Fragmente erhöhte signifikant die ATP-Hydrolyse-Rate der Helikase, wobei die größte Aktivierung für den RNA-Duplex mit 5‘-Einzelstrang sowie ein einzelsträngiges Substrat zu beobachten ist. Da diese Ergebnisse deutlich eine RNA-Abhängigkeit beim ATP-Umsatz der Helikase zeigen, wurde untersucht, ob diese Unterschiede ihren Ursprung bereits in der Bindung der spezifischen RNA-Substrate haben. Mittels einer Mischapparatur, die es erlaubt die enzymatische Reaktion direkt im Spektrometer zu initiieren sowie zeitaufgelöster 31P NMR-Experimente konnte die allosterische Aktivierung der ATP-Hydrolyse-Rate von RhlB auch unter NMR-spektroskopischen Messbedingungen nachgewiesen werden.
Da die Ergebnisse des ATPase Assays deutlich eine RNA-Abhängigkeit bei der ATP-Umsatz-Rate der Helikase zeigen, wurde zusätzlich untersucht, ob diese Unterschiede ihren Ursprung in den Affinitäten für die verschiedenen RNA-Substrate haben und ob diese durch die Bindung von RNase E and RhlB beeinflusst werden. Um im gleichen Zuge zu überprüfen, ob die Bindung der RNA an RhlB die RNA-Konformation oder Basenpaarung ändert, werden 1H NMR-Titrationsexperimente durchgeführt. Es konnte erstmals gezeigt werden, dass RhlB eine inhärente Präferenz für Duplexe mit 5‘-Überhang gegenüber Konstrukten mit 3‘-Überhang oder stumpfen Enden besitzt, was sich in einer erhöhten Affinität zeigt. Zusätzlich offenbaren die Messungen, dass RNase Es allosterische Bindung selektiv die Affinität gegenüber Konstrukten mit Einzelstrang-Überhang erhöht, während die Affinität zu RNA Duplexen ohne Überhang sogar verringert wird. Diese Ergebnisse liefern erstmals einen Nachweis, dass RNase E aktiv Einfluss auf RhlBs RNA-Bindung nimmt. Weder die Bindung der RNA and RhlB noch an den RhlB/RNase E Komplex scheint die Basenpaarung oder Konformation der RNA-Substrate zu beeinflussen, da lediglich eine homogene Peak-Verbreitung aller Imino-Protonen-Signale im 1H NMR-Spektrum beobachtet werden konnte.
The role of Apelin signaling and endocardial protrusions during cardiac development in zebrafish
(2023)
During cardiac development, cardiomyocytes (CMs) are delaminated from the compact muscle wall to increase the muscle mass of the heart. This process is also known as cardiac trabeculation. It has been shown that growth factors produced by endocardial cells (EdCs) are required for myocardial morphogenesis and growth. In particular, Neuregulin produced by EdCs promotes myocardial trabeculation. The deficiency of Neuregulin signaling leads to hypotrabeculation. Endocardial protrusions project from the endocardium to the myocardium are also essential for the trabeculae onset. Yet current studies only introduce the function of endocardial sprouts descriptively. This article first reports the mechanisms of endocardial sprouting during myocardial trabeculation. By living imaging, we first demonstrate that EdCs interact with CMs through membrane protrusions in zebrafish embryos. More interestingly, these protrusions stay in close contact with their target CMs in spite of the cardiac contraction. We utilize loss-of-function strategies to report the importance of myocardial apelin, which induces endocardial protrusion formation. Zebrafish lacking Apelin signaling exhibit defects in endocardial protrusion formation as well as excessive deposition of cardiac jelly and hypotrabeculation. Notably, we also present data that blocking protrusion formation in endocardial cells phenocopies the trabeculation defects in apelin mutants. Mechanistically, endocardial-derived Neuregulin requires Apelin signaling mediated endocardial protrusions, and Neuregulin dependent pERK expression is attenuated in the condition of reduced endocardial protrusion formation. Together, our data suggest that endocardial-myocardial communication through endocardial protrusions acts as an underlying principle allowing myocardial growth.
This research attempts to provide for an overview of the state of co-operation between the United Nations and regional organizations like the CoE, OSCE, EU and NATO during the last Yugoslav wars, considering the 1991-2008 period. In this case, the "reconstruction" of what the organisations did in each of the countries involved in the conflicts, the country-by-country approach used in writing the research and the consideration of both headquarters and field level should facilitate the understanding of the state of things at that time. The research further includes an analysis of the co-operative trends developed by the considered international organisations since the beginning of the 1990s and is concluded by a reflection on the normative relevance of the issue of "international cooperation". In this case, the intention of the author was to go beyond the general policy level approach used for the description of UN-regional organizations interaction and propose a re-consideration of the concept of "international co-operation" as a possible normative tool in guiding the so far nebulous division of tasks of international actors in conflict-related scenarios. In this case, the concise description of the general framework for co-operation under Chapter VIII of the UN Charter, already matter of wide debate by academics and practitioners, sets the frame for a more elaborate, and hopefully innovative, consideration of the notion of "international cooperation". This, of course, is to be contextualized to the lessons learned extrapolated from the case study.
Terahertz (THz) radiation lies between the micro and far-infrared range in the electromagnetic spectrum. Compared with microwave and millimeter waves, it has a larger signal bandwidth and extremely narrow antenna beam. Thus, it is easier to achieve high-resolution for imaging and detection applications. The unique properties, such as penetration for majority non-polar materials, non-ionizing characteristic and the spectral fingerprint of materials, makes THz imaging an appealing artifice in the military, biomedical, astronomical communications, and other areas. However, THz radiation’s current low power level and detection sensitivity block THz imaging system from including fewer optical elements than the visible or infrared range. This leads to imaging resolution, contrast, and imaging field of view degenerate and makes the aberration more serious. THz imaging based on the space Fourier spectrum detection is developed in this thesis to achieve high-quality imaging. The main concept of Fourier imaging is by recording the field distribution in the Fourier plane (focal plane) of the imaging system; the information of the target is obtained. The numerical processing method is needed to extract the amplitude and phase information of the imaged target. With additional process, three-dimensional (3D) information can be obtained based on the phase information. The novel recording and reconstructing ways of the Fourier imaging system enables it to have a higher resolution, better contrast, and broader field of view than conventional imaging systems such as microscopy and plane to plane telescopic imaging system.
The work presented in this thesis consists of two imaging systems, one is working at 300 GHz based on the fundamental heterodyne detection of the THz radiation, the other is operated at 600 GHz by utilizing the sub harmonic heterodyne detection technique. The realization and test of the heterodyne detection are based on the THz antenna-coupled field-effect transistor (TeraFET) detector developed by Dr. Alvydas Lisauskas. Both systems use two synchronized electronic multiplier chains to radiate the THz waves. One radiation works as the local oscillator (LO), the other works as illumination with a slight frequency shift, the radiations are mixed on the detector scanning in the Fourier plane to record the complex Fourier spectrum of the imaged target. The LO has the same frequency range as the illuminating radiation for fundamental heterodyne detection but half the frequency range for the sub-harmonic heterodyne detection. The 2-mm resolution, 60-dB contrast, and 5.5-cm diameter imaging area at 300 GHz and the of 500-μm resolution, 40-dB contrast, and 3.5-cm diameter imaging area at 600 GHz are achieved (the 300-GHz illuminating radiation has the approximate power of 600 μW , the 600-GHz illuminating radiation has the approximate power of 60 μW ).
The thesis consists of 6 parts. After the introduction, the second chapter expands on the topic of Fourier optics from a theoretical point of view and the simulations of the Fourier imaging system. First, the theory of the electromagnetic field propagation in free space and through an optical system are investigated to elicit the Fourier transform function of the imaging system. The simulation is used for theoretical considerations and the implementation of a Fourier optic script that allows for numerical investigations on reconstruction. The preliminary imaging field of view and resolution are also demonstrated. The third chapter describes the Fourier imaging system at 300 GHz based on the fundamental heterodyne detection, including the experimental setup, the 2D, and 3D imaging results. The following fourth chapter reports the integration of the TeraFET detector with two substrate lenses (one is a Si lens on the back-side Si substrate, the other is a wax/PTFE lens on the front side containing the bonding wires) for sub-harmonic heterodyne detection at 600 GHz. The characteristic of the wax/PTFE lens at THz range is presented. After that, the compared imaging results between the detector with and without the wax/PTFE lens are shown. The fifth chapter extends the demonstration on the lateral and depth resolution of the Fourier imaging system in detail and uses the experimental results at 600 GHz to validate the analytical predictions. The comparison of the resolution between the Fourier imaging system and the conventional microscopy system proves that the Fourier imaging system has better imaging quality under the same system configuration. The last chapter in this thesis concludes on the findings of the THz Fourier imaging and gives an outlook for the enhancement of the Fourier imaging system at THz range.
This dissertation investigates a special class of anaphoric form, yè, in Ewe known as the logophoric pronoun. This research makes a number of novel observations.
In the first chapter, I introduce the reader to the phenomenon under investigation as well as provide information on Ewe and its dialects and, methodology. In Chapter 2, I present the pronominal system of Ewe which is categorised into strong and weak forms following Cardinaletti & Starke (1994) and Agbedor (1996). The distribution of pronouns is outlined which sets the tone for an overview of logophoric marking. In this respect, I present variations in logophoric marking strategies cross linguistically and show that Ewe differs significantly from other pronouns in this category. In an effort to explain the deviant case of yè, I entertain the idea that yè is a pure logophoric pronoun in the sense of Clements (1975) and thus, its additional de re and strict interpretation does not imply non-logophoricity.
Chapter 3 demonstrates that yè is sensitive to contexts which portray the intention of an individual. Following Sells (1987), the antecedent of yè must have an intention to communicate. I broadly categorize logophoric contexts into reportative (direct-indirect speech) or non-reportative (speaker’s mental attitude, reporter’s observation or background knowledge of a situation). Based on this categorization, indirect speech report (Clements 1975), dis- course units such as a paragraph or an episode (Clements 1975), and sentential adjuncts such as purpose, causal and consequence clauses (Culy 1994a) are reviewed. The logophoric pro- noun occurs in the complement of attitude verbs (Clements 1975), also termed logocentric (à la (Stirling 1994)) or logophoric predicates (à la (Culy 1994a)) as well as with non-attitudinal verbs (e.g. va ‘come’ or wO ‘do’ as in sentential adjuncts). I argue contra Clements (1975) and Culy (1994a) that yè can occur with perception predicates. I further provide three new instances of non-reportative contexts which are compatible with yè namely, as-if clauses, benefactive na clauses and alesi ‘how’ clauses. I show, corroborating previous studies that contexts which are necessary for the licensing of yè include all of the aforementioned except causal clauses. Among these contexts, the complementizer be or regarding cases where there is no be, an element in C (due to the Doubly-Filled-Comp Filter (DFCF) c.f. Chomsky & Lasnik (1977)), is sufficient to license yè. Following Bimpeh & Sode (2021), yè is licensed by feature checking (in the spirit of von Stechow (2004)): be bears the interpretatble [log] feature which checks the uninterpretable [log] feature of yè. I include a redefinition of logophoricity as pertaining to Ewe.
Given the disparity found in the literature concerning the interpretation of yè: Ewedome (pronounce EVedome) has only de se readings (Bimpeh 2019); while ‘pure’ Ewe, Mina (variety of Ewe spoken in Togo) Pearson (2015), Danyi (O’Neill 2015) and Anlo (pronounced ANlO) (Satık 2019) has de re readings; chapter 4 aims at lending empirical support to the ungoing discussion by verifying the interpretation of yè. Two acceptability judgment tasks were conducted namely, truth value judgment task and binary forced choice task. The results corroborates Pearson (2012, 2015) and others’ discovery that yè has a de re interpretation in the Ewedome (contra Bimpeh (2019); Bimpeh et al. (2022)), Anlo and Tonu (pronounced TONu) dialects of Ewe.
In chapter 5, I discuss the relation between logophoricity (yè, yè a) and Control (PRO). I show that yè may be restricted to a set of verbs which obligatorily require the morpheme a ‘potential marker’ (Essegbey 2008), in subject position. This set of verbs are those that are known as control verbs c.f. (Landau 1999) in English. As a result of this restriction, research such as Satık (2019) claims that yè a is the overt instantiation of PRO in English. According to the Ewe facts, it appears as though on one hand, yè and PRO share similar properties in logophoric contexts and on the other hand, yè in combination with the potential marker, a also share properties with PRO in subject control environments. Against this background, I discuss the relation between yè, yè a and PRO and show that neither yè in isolation nor yè in combination with a, contrary to Satık (2019), is the overt instantiation of PRO. I clarify that the potential morpheme a is not cliticised or combined with the logophoric yè. The two forms are seperate morphemes. The potential marker a only shows up in control environments because a sub-class of verbs require it for grammaticality purposes. As such, the property of de se-ness does not come from yè by itself, yè a or a but rather from the sub-class of verbs which require the potential marker a...
Discrepancies between knockdown and knockout animal model phenotypes have long stood as a perplexing phenomenon. Several mechanisms explaining such observations have been proposed, namely the toxicity or the off-target effects of the knockdown reagents, as well as, in certain cases, genetic robustness – an organism's ability to maintain its phenotype despite genetic perturbations. In addition to these explanations, transcriptional adaptation (TA), a phenomenon defined as an event whereby a mutation in one gene leads to transcriptional upregulation or downregulation of another, adapting, gene or genes expression, has been recently proposed as an alternative explanation for the conflicting knockdown and knockout phenotype paradox.
Since its discovery in 2015, TA's precise mechanism remains a subject of ongoing research. Majority of evidence suggests that mutant mRNA degradation plays a central in TA. Epigenetic remodeling is also thought to play a role, as evidenced by an increase in active histone marks at the transcription start sites of the adapting genes. Whether mRNA degradation is indeed the key player in TA remains debated. Furthermore, it is still unknown how exactly TA develops, what adapting genes it targets, and whether genomic mutations that render mutant mRNA sensitive to degradation are required for TA to occur.
Throughout the experiments described in this Dissertation, I have designed an inducible TA system where TA can be triggered on demand and its effects on the cell’s transcriptome followed through time. I have demonstrated that degradation-prone transgenes, once induced and expressed, can be efficiently degraded, resulting in the protein loss-independent upregulation of adapting genes via TA. Adapting genes with higher degree of sequence similarity become upregulated faster than genes with lower degree of sequence similarity. Further functionality of this approach to study TA is limited by the leakiness of the inducible gene expression system; however, constitutively expressed degradation-prone transgenes were used to demonstrate TA in human cells.
In addition, I have developed an approach to target wild-type cytoplasmic mRNAs without altering the cell’s genome and reported a TA-like phenomenon, which manifested as adapting gene upregulation not relying on mutations in other genes. Cytoplasmic mRNA cleavage with CRISPR-Cas13d triggered a TA-like response in three different gene models: Actg1 knockdown, Ctnna1 knockdown, and Nckap1 knockdown. After comparing two different modes of triggering TA, CRISPR-Cas9 knockout versus CRISPR-Cas13d knockdown, I reported little overlap between the dysregulated genes and suggested that diverse mRNA degradation modes led to distinct TA responses. In addition, the transcriptional increase of Actg2 caused by CRISPR-Cas13d-mediated Actg1 mRNA cleavage did not require chromatin accessibility changes.
Experiments and genetic tools described in this dissertation investigated how TA develops from its earliest onset, how it affects the global transcriptome of the cell, as well as provided compelling evidence for an mRNA degradation-central TA mechanism. I have created tools to study both direct and indirect TA gene targets and unveiled important insights into the temporal dynamics of TA. Genes with higher sequence similarity were found to be upregulated more rapidly than those with lower similarity. Furthermore, it was revealed that the epigenetic properties of TA responses vary depending on the triggering mechanism. Cas13d-mediated degradation of wild-type mRNAs led to immediate transcriptional enhancement independent of epigenetic changes, which stood in contrast to previously measured alterations in chromatin accessibility in CRISPR-Cas9 mutants. This research has thus significantly advanced our knowledge of TA and provided valuable tools and findings that contribute to the broader understanding of gene expression regulation in response to mRNA degradation.
This thesis provides a detailed derivation of dissipative spin hydrodynamics from quantum field theory for systems composed of spin-0, spin-1/2, or spin-1 particles.
The Wigner function formalism is introduced for quantum fields in the respective representations of the Poincaré group, and the conserved currents, i.e., the energy-momentum tensor and the total angular momentum tensor, in various so-called pseudogauges are derived. An expansion around the semiclassical limit in powers of the Planck constant is performed.
Subsequently, kinetic equations are obtained for binary elastic scattering, using both the de Groot-van Leeuwen-van Weert and Kadanoff-Baym method, with the latter retaining the effect of quantum statistics. The resulting collision term features both local and nonlocal contributions, with the latter providing a relaxation mechanism for the spin degrees of freedom of the quasiparticles. The local-equilibrium distribution function is derived from the requirement that the local part of the collision term vanishes.
From quantum kinetic theory, dissipative spin hydrodynamics is then constructed via the method of moments, extended to particles with spin. The system of moment equations is closed via the Inverse-Reynolds Dominance (IReD) approach, resulting in a set of equations of motion describing the evolution of both ideal and dissipative degrees of freedom. The application to polarization phenomena relevant to heavy-ion collisions is discussed.
Upper mantle shear zones are complex systems where deformation is commonly closely interacting with metamorphic (solid-solid) and/or melt/fluid-rock reactions. Here, feedback processes between deformation, reactions, grain size reduction and phase mixing result in strain weakening and the localization of deformation. The expression of these interlinked processes is portrayed by the microfabrics of strained peridotites and pyroxenites. The present thesis is focusing on these processes and their impact on the deformation in three upper mantle shear zones situated in the peridotite massifs of Lanzo (Italian Alps), Erro-Tobbio (Italian Alps) and Ronda (Betic Cordillera, Spain). In all three shear zones, the presence of melt led to phase mixing either by interstitial crystallization of pyroxenes from a Si-saturated and partially also highly evolved melt or by melt-rock reactions of pyroxene porphyroclasts with a Si-undersaturated melt. The effect of melt on the localization of strain is twofold and variable. Enhanced deformation by melt-wetted boundaries is assumed for all shear zones. Additionally, phase mixing by crystallization of interstitial pyroxenes or melt-rock reactions reduce or maintain the grain size by the formation of fine grained neoblasts and secondary phase boundary pinning. In this regard, pre- to early syn-kinematic, map-scale percolation of OH-bearing, evolved melts in the NW Ronda peridotite massif and the associated crystallization of interstitial pyroxenes result in the activation of grain size sensitive deformation mechanisms in the entire melt-effected area. In the rocks collected at Erro-Tobbio, syn-kinematic melt-rock reactions of pyroxene porphyroclasts and Si-undersaturated melt led to the formation of ultramylonitic neoblast tails (grain size ~10 μm). Compared to the adjacent coarser-grained olivine-dominated matrix, the activation of diffusion creep led to an increase in the strain rate by an order of magnitude within interconnected ultramylonitic layers. Strain localization and softening in ultramylonitic layers are also documented in the Lanzo samples. Neoblast tails of pyroxene porphyroclasts were likewise identified as their precursor. The phase assemblage of the tails, including ortho- and clinopyroxene, olivine, plagioclase, and spinel (± amphibole), and their geochemical trends suggest, unlike in Erro-Tobbio, a formation by continuous net-transfer reactions enhanced by the spinel lherzolite to plagioclase lherzolite transition.
The new results obtained from the three studied shear zones underscore the importance of reactions for the interlinked processes of grain size reduction, phase mixing, strain localization and strain softening in upper mantle shear zones. Concerning strain localization, the nature of the reaction (solid-solid, melt/fluid-rock) seems to play a subordinate role compared to its timing. Pre- to early syn-kinematic melt-triggered reactions result in strain localization along map-scale shear zones. Late stage syn-kinematic melt-rock or metamorphic reactions under high stress conditions are capable of localizing the deformation along discrete, sub-centimeter thick ultramylonites.
This thesis aims to investigate the properties of hadronic matter by analyzing fluctuations of conserved charges. A transport model (SMASH) is used for these studies to achieve this. The first part of this thesis focuses on examining transport coefficients, specifically the diffusion coefficients of conserved charges and the shear viscosity. The second part investigates equal-time correlations of particle numbers in the form of cumulants. The last chapter studies different aspects of the isobar collision systems Ru and Zr.
As a first step, the hadronic medium and interactions between its constituents are introduced, and simultaneously, their impact on transport coefficients is investigated. The methodology is verified by comparing the results of SMASH with Chapman-Enskog calculations, followed by examining 3-to-1 multi-particle reactions, revealing their influence on shear viscosity and electrical diffusion. The analysis of the full hadron gas considers angle-dependent cross-sections and additional elastic cross-sections via the AQM description, showing significant impacts on transport coefficients. The dependency on the number of degrees of freedom is explored, with noticeable effects on diffusion coefficients but a smaller influence on the shear viscosity. At non-zero baryon chemical potential, the diffusion coefficients are strongly influenced, while the shear viscosity remains unaffected. Overall, the study underscores the importance of individual cross-sections and the modeling of interactions on transport coefficients.
The following chapter explores fluctuations of conserved charges, crucial for understanding phase transitions in heavy-ion collision from the quark-gluon plasma to the hadronic phase. Using SMASH, the impact of global charge conservation on particle number cumulants in subvolumes of boxes simulating infinite matter is studied. Comparisons with simpler systems highlights the influence of hadronic interactions on cumulants, especially via charge annihilation processes and the results from SMASH shows agreement with analytical calculations. Calculations at finite baryon chemical potential reveals a transition from a Poisson to Skellam distribution within the net proton cumulants. It is shown that an unfolding procedure to obtain the net baryon fluctuations from the net proton ones deviates from the actual net baryon result, particularly in larger volumes. Finally, net proton correlations at vanishing baryon chemical potential align with ALICE measurements and the net proton cumulants are unaffected by deuteron formation.
In the next step, the goal is to investigate critical fluctuations in the hadronic medium. Therefore, the hadronic system is initialized with critical equilibrium fluctuations by coupling the hadron resonance gas with the 3D Ising model. The single-particle probability distributions are derived from the principle of maximum entropy. Evolving these distributions in SMASH, their development in an expanding sphere adjusted to experimental conditions can be analyzed. It reveals resonance decay and formations as the primary source that affects the particle cumulants. Because of isospin randomization processes, critical fluctuations are better preserved in net nucleon numbers. However, for the strongest coupling investigated in this work, correlations of the critical field are still present in the final state of the evolution in the net proton fluctuations. Examining cumulant dependence on rapidity windows shows a non-monotonic trend.
In the third part, collisions involving the isobars Ru and Zr are studied at a center-of-mass energy of 200 GeV. Initially, SMASH is used to study the initial conditions to hydrodynamical simulations, emphasizing the importance of the nuclear structure of isobars on the geometry of the collision area. It is found that the deformation parameters notably influence the initial state. Correlations between nucleon-nucleon pairs on eccentricity fluctuations yield no significant effect. Subsequently, the hydrodynamic model vHLLE evolves the previously explored initial conditions and for the transition between the hydrodynamic and kinetic descriptions, the Cooper-Frye formula is used. Usage of the canonical ensemble ensures the exact conservation of the conserved charges B, Q, and S. The neutron skin effect, which changes the charge distribution within Ru nuclei, is additionally considered. Fluctuations are assessed, revealing suppression in large rapidity windows due to global charge conservation. The hadronic phase modifies fluctuations of net pions, net kaons, and net protons via annihilation processes, yet fluctuations remain unaffected by the neutron skin effect.
The core of this work is represented by the investigation of the chiral phase transition, using Monte Carlo simulations and unimproved staggered fermions, both in the weak and strong coupling regimes of Quantum Chromodynamics. Based on recent results from Monte Carlo simulations, both using unimproved staggered fermions and Wilson fermions, the chiral phase transition in the continuum and chiral limit shows compatibility with a second-order phase transition for Nf (number of flavours) in range [2:7], at zero baryon chemical potential. This achievement relies on the analytic continuation of Nf to non-integer values on the lattice, which allows to make use of extrapolation techniques to the chiral limit, where simulations are not possible. Furthermore, these results provide a resolution to the ambiguous scenario for Nf = 2 in the chiral limt. The first part of this thesis is devoted to the investigation of the chiral phase transition when a non-zero imaginary baryon chemical potential is involved, whose value corresponds to the 81% of the Roberge-Weiss one. Using the same extrapolation techniques aforementioned, the order of the chiral phase transition in the continuum and chiral limit shows compatibility with a second-order phase transition for Nf in range [2:6], highlighting a lack of dependence of the order of the chiral phase transition on the imaginary baryon chemical potential value. The second part of this thesis is about the study of the extension of the first-order chiral region in the strong coupling regime, at zero baryon chemical potential. Using Monte Carlo techniques, this can be done by investigating the Z2 boundary on a coarse lattice, whose temporal extent reads Nt = 2, and simulations are realised for Nf = 4, 8. The results in the weak coupling regime show, for $Nt = 8, 6, 4 and fixed Nf value, an inflating first-order chiral region. As in the strong coupling limit a second-order chiral phase transition is expected, the first-order chiral region has to shrink as the strong coupling regime is approached, resulting in a non-monotonic behaviour of the Z2 boundary. For Nf = 8, a critical mass on the Z2 boundary has been obtained, confirming the expected non-monotonic behaviour. For Nf = 4 the results do not provide a unique conclusion: Either a Z2 boundary at extremely low bare quark mass or a second-order chiral phase transition in the O(2) universality class in the chiral limit can take place. In addition to the two main topics, the performances of the second-order minimum norm integrator (2MN) and the fourth-order minimum norm integrator (4MN) have been compared, after implementing the 4MN one in the CL2QCD code used to realise our simulations. The 2MN integrator had already been implemented in the code since the first version was released. The two integrators belong to the class of symplectic integrators and represent an essential component of the RHMC algorithm, involved in our investigation. This step is extremely important, in order to guarantee the best quality when collecting data from simulations, and the results of the comparison suggested to favor the 2MN integrator, for both the topics.
Type 1 diabetes (T1D) is precipitated by the autoimmune destruction of the insulin-producing beta-cells in the pancreatic islets of Langerhans. Chemokines have been identified as major conductors of the islet infiltration by autoaggressive leukocytes, including antigen-presenting cells and islet autoantigen-specific T cells. We have previously generated a roadmap of the gene expression in the islet microenvironment during T1D in a mouse model and found that most of the chemokine axes are chronically upregulated during T1D. We focused our attention on CXCL10/CXCR3, CCL5/CCR5, CXCL16/CCR6, CX3CL1/CX3CR1, and XCL1/XCR1. First, we found that the absence of CCR6 and of CX3CR1 diminished T1D incidence in a mouse model for T1D. Further, the XCL1/XCR1 chemokine axis is of particular interest, since XCR1 is exclusively expressed on convention dendritic cells type 1 (cDC1) that excel by their high capacity for T cell activation. Here we demonstrate that cDC1 expressing XCR1 are present in and around the islets of patients with T1D and of islet-autoantibody positive individuals. Further, in an inducible mouse model for T1D, we show that XCL1 plays an important role in the attraction of highly potent dendritic cells expressing XCR1 to the islets. XCL1-deficient mice display a diminished infiltration of XCR1+ cDC1 and subsequently also a reduced magnitude and activity of islet autoantigen-specific T cells. XCR1-deficient mice display a reduced magnitude and activity of islet autoantigen-specific T cells. A 3D-visualization of the entire pancreas reveals that both XCL1-deficient mice and XCR1-deficient mice indeed maintain most of their functional islets after induction of the disease. Thus, the absence of XCL1 results in a profound decrease in T1D incidence. The XCR1-deficiency also reduces T1D incidence, even if in a less drastic way compared to XCL1-deficiency. An interference with the XCL1/XCR1 chemokine axis might constitute a novel target for the therapy for T1D.
Caspase-2 is the evolutionary most conserved member of the caspase family and was shown to be involved in genotoxic stress induced apoptosis, control of aneuploidy, and ageing related metabolic changes. However, its role in apoptosis seems redundant due to the observation, that knockout does not inhibit apoptotic signalling exclusively. Instead, knockout of caspase-2 leads to tumor susceptibility in vivo, which led to the assumption, that caspase-2 has non-apoptotic functions and can act as a tumor suppressor. The underlying mechanism of the tumor suppressor activity of caspase-2 has not been clarified so far. Furthermore, caspase-2, has a prominent, and as pro-enzyme exclusive localisation in the nucleus and other subcellular compartments, implicating a distinct and location specific role.
In this study, a novel caspase-2 specific substrate, termed p54nrb, was identified. P54nrb is harbouring a caspase-2 specific cleavage site at the aspartate residue D422, and cleavage of p54nrb leads apparently to disruption of its putative DNA binding domain at the C-terminus.
P54nrb is a nuclear multifunctional RNA and DNA binding protein, known for roles in transcriptional regulation, DNA unwinding and repair, RNA splicing, and retention of defective RNA. Overexpression of p54nrb has been observed in several human cancers, such as cervix carcinoma, melanoma, and colon carcinoma.
Data from this study revealed, that depletion of p54nrb in tumor cell lines results in a loss of resistance to drug induced cell death and to reduced capability of anchorage independent growth, which is functionally equivalent to a reduced tumorigenic potential. Meanwhile, p54nrb depletion alone is not cytotoxic.
The investigation of p54nrb dependent gene regulations by high resolution quantitative proteomics uncovered an altering expression of multiple tumorigenic genes. For two of these candidates, the tumorigenic protease cathepsin-Z and the anti-apoptotic gelsolin, p54nrb dependent expression was detected universally in all three investigated tumor cell lines, cervix carcinoma, melanoma, and colon carcinoma. Additionally, a direct interaction of p54nrb with the cathepsin Z and gelsolin encoding DNA, but not with their corresponding mRNA, could be demonstrated.
Conjointly, this study unveils a novel mechanistic feature of caspase-2 as a tumor suppressor. The caspase-2—p54nrb axis can orchestrate the levels of several tumorigenic proteins and thereby determine the cell death susceptibility and long-term tumor survival. These findings might be of great value for future therapeutic interventions and for overcoming drug resistance of tumors.
This thesis deals with several aspects of non-perturbative calculations in low-dimensional quantum field theories. It is split into two main parts:
The first part focuses on method development and testing. Using exactly integrable QFTs in zero spacetime dimensions as toy models, the need for non-perturbative methods in QFT is demonstrated. In particular, we focus on the functional renormalization group (FRG) as a non-perturbative exact method and present a novel fluid-dynamic reformulation of certain FRG flow equations. This framework and the application of numerical schemes from the field of computational fluid dynamics (CFD) to the FRG is tested and benchmarked against exact results for correlation functions. We also draw several conclusions for the qualitative understanding and interpretation of renormalization group (RG) flows from this fluid-dynamic reformulation and discuss the generalization of our findings to realistic higher-dimensional QFTs.
The topics discussed in the second part are also manifold. In general, the second part of this thesis deals with the Gross-Neveu (GN) model, which is a prototype of a relativistic QFT. Even though being a model in two spacetime dimensions, it shares many features of realistic models and theories for high-energy particle physics, but also emerges as a limiting case from systems in solid state physics. Especially, it is interesting to study the model at non-vanishing temperatures and densities, thus, its thermodynamic properties and phase structure.
First, we use this model to test and apply our findings of the first part of this thesis in a realistic environment. We analyze how the fluid-dynamic aspects of the FRG realize themselves in the RG flow of a full-fledged QFT and how we profit from this numeric framework in actual calculations. Thereby, however, we also aim at answering a long-standing question: Is there still symmetry breaking and condensation at non-zero temperatures in the GN model, if one relaxes the commonly used approximation of an infinite number of fermion species and works with a finite number of fermions? In short: Is matter (in the GN model) in a single spatial dimension at non-zero temperature always gas-like?
In general, we also use the GN model to learn about the correct description of QFTs at non-zero temperatures and densities. This is of utmost relevance for model calculations in low-energy quan- tum chromodynamics (QCD) or other QFTs in medium and we draw several conclusions for the requirements for stable calculations at non-zero chemical potential.
Precise intensity monitoring at CRYRING@ESR: on designing a Cryogenic Current Comparator for FAIR
(2023)
In the field of today’s beam intensity diagnostic there is a significant gap in the non-interceptive, calibrated measurement of the absolute intensity of continuous (unbunched) dc beams with current amplitudes below 1 μA. At the Facility for Antiproton and Ion Research (FAIR) low-intensity DC beams will occur during slow extraction from the synchrotrons as well as for coasting beams of highly-charged or exotic nuclei in the storage rings. The lack of adequate beam instrumentation limits the experimental program as well as the accuracy of experimental results.
The Cryogenic Current Comparator (CCC) can close the diagnostic gap with a high-precision dc current reading independent of ion-species and of beam parameters. However, the established detector design based on a core with high magnetic permeability and on a radial shield geometry has well-known weaknesses concerning magnetic shielding efficiency and intrinsic current noise. To eliminate these weaknesses, a novel coreless CCC with a co-axial shield was constructed and combined with a high-performance SQUID contributed by the Leibniz-Institute of Photonic Technology (Leibniz-IPHT Jena). The new axial CCC model was compared to a radial CCC with the established design provided by the Friedrich-Schiller-University Jena. According to numerical simulations prepared at TU Darmstadt and test measurements of the detectors in the laboratory, the new design offered a significant improvement of the shielding factor – from 75dB to 207dB at the required dimensions – and eliminated all noise contributions from the core material, promising an improved current resolution. Although the lower inductance of the pickup coil reduced the coupling to the beam significantly, the noise properties of the new CCC type were comparable to the classical version with a high-permeability core. However, the expected decrease of the low-frequency noise and thus an increase of the current resolution could not be observed at this stage of development.
Consequently, the classical CCC based on the radial shielding and high-permeability core had to be installed in CRYRING@ESR to provide best possible intensity measurements for the upcoming experimental campaign. In CRYRING the CCC was operated with beam currents between 1nA and 20μA and with different ion species (H, Ne, O, Pb, U). It was shown that the CCC provides a noise-limited current resolution of better than 3.2 nArms at a bandwidth of 200 kHz as well as a noise level below 40 pA/√Hz above 1 kHz. During the operation, the main noise sources of the accelerator environment had to be identified and suitable mitigation strategies were developed. Temperature and pressure fluctuations were suppressed with a newly-designed cryogenic support system based on a 70 l helium bath cryostat, developed and built in collaboration with the Institut für Luft- und Kältetechnik Dresden, in combination with a helium re-liquefier. The cryogenic operating time was restricted to around 7 days, which must be expanded significantly in the future. Digital filters were developed to remove the perturbations of the helium liquefier and of the neighboring dipole magnets. Given the promising results the CCC system can be considered as a prototype for future CCCs at FAIR.
Precise tune determination and split beam emittance reconstruction at the CERN PS synchrotron
(2023)
In accelerator physics, the need to improve the performance and better control the operating point of an accelerator has become, year after year, an increasingly important need in order to achieve higher energies and brightness, as well as point-like particle beams. If this involves increasingly advanced technological developments (in terms, for example, of materials for more intense superconducting magnets), it can not take place in the absence of targeted studies of linear and non-linear beam dynamics. In the context of this Ph.D. thesis in physics, linear and non-linear dynamics of charged particles in circular accelerators is the topic that will be discussed and treated in detail. In particular, the presentation and discussion of the results will be divided in two main topics: the need to know the physical properties of a proton beam; and the development of innovative methods to determine and study the accelerator’s working point. With regard to the first topic, an innovative procedure will be presented to determine the transverse size of the PS beam in the beam extraction phase. Among the different ways the extraction occurs at the PS, the analysed one is based on the transverse splitting of the beam by means of non-linear fields. Thus, the knowledge of the transverse beam size is not trivial since resonant linear and non-linear beam structures (namely, core and islands) arise and, for each of them, the beam size has to be quantified. This parameter is crucial for two main reasons: the accelerator that will receive the beam exiting the upstream accelerator may have restrictions (physical or magnetic) that involve a partial or total loss of the incoming beam; and any experiments located downstream of the considered accelerator may need a beam with a transversal size as constant as possible; consequently, its monitoring and control are essential. The second topic concerns the accurate determination of the working point of an accelerator, defined as the number of transverse oscillations the particle beam travels per unit of accelerator circumference, both horizontally and vertically. This quantity is called horizontal and vertical tune, respectively. Their knowledge is also crucial to understand whether the beam will be stable or unstable. In fact, not all tune values are acceptable, as there are particular values that bring the beam into resonance. In this configuration, the amplitude of the transverse oscillations of the particles increases in an uncontrolled manner and leads to the loss of all or part of the beam. Note that, in particular operating conditions, the resonant conditions are sought and desired to model, in a suitable way, the transversal shape of the beam, such as the above mentioned PS extraction scheme. It is even clearer how much the determination of the machine working point is essential to determine the operating conditions of an accelerator. In this context, several methods (also taken from the field of applied mathematics) to calculate the tune will be demonstrated and tested numerically on different types of synthetic signals. At the end of this description, the use of experimental data will allow to obtain the benchmark of a new method for the direct calculation of some characteristic quantities of non-linear beam dynamics (namely, the amplitude detuning, i.e. the variation of tune as a function of intensity of the perturbation provided to the beam.
Bei den meisten erwachsenen Säugetieren führt ein Herzinfarkt zu Fibrose und Verlust von funktionellem Herzgewebe. Einige Wirbeltiere, wie der Zebrabärbling, besitzen jedoch die bemerkenswerte Fähigkeit, nach einer Schädigung ihres Herzgewebes verlorenes Gewebe zu regenerieren und so schädliche Folgen zu verhindern. Die lokale Immunantwort auf eine Verletzung wird zunehmend als eine wichtige Determinante für das regenerative Potential eines Gewebes gesehen. Das Komplementsystem ist Teil des humoralen Immunsystems. Historisch ist es als eine Sammlung von Protein bekannt, den Komplementkomponenten, die in der Leber synthetisiert werden und im Blutkreislauf zirkulieren. Bei Exposition gegenüber einem Auslöser, wie z. B. einem Pathogen, wird eine Komplementkomponentproteinspaltungskaskade initiiert, die dazu führen kann, dass Immunzellen rekrutiert werden, und, dass die Phagozytose erleichtert, ggf. die Zielzelle lysiert wird. Studien legen nahe, dass das Komplementsystem an zellulären Prozessen beteiligt sei, die für Entwicklungs- und Krankheitsprozesse entscheidend sind, wie etwa Proliferation und Dedifferenzierung. Es gibt Hinweise, dass das Komplementsystem eine Rolle bei Krebserkrankungen und bei regenerativen Prozessen spielen könnte. In verschiedenen Arten wurde eine lokale verletzungsinduzierte Expression von komplementkomponentkodierenden Genen in regenerierendem Gewebe beobachtet.
Einzelne Studien legen nahe, dass Funktionsverlust einzelner Komplementkomponenten regenerative Prozesse beeinträchtigt.
Offene Fragen bleiben jedoch: Ist die lokale Expression von mehreren komplementkomponentkodierenden Genen ein Merkmal von regenerierendem Gewebe, das sie von Geweben unterscheidet, welchem die Fähigkeit zur Regeneration fehlt? Und welche Rolle könnte das Komplementsystem und seine Komponenten während des regenerativen Prozesses spielen? Um diesen Fragen nachzugehen, wurde eine Expressionsanalyse von Zebrabärblingsgewebe nach Verletzung mittels RT-qPCR und in situ Hybridisierung durchgeführt: kardiale Kryoverletzung, Larvenrumpfamputation und Schwanzflossenamputation. Ich beobachtete, dass mehrere komplementkomponentkodierende Gene in diesen Geweben nach Verletzung induziert wurden. Die Interpretation veröffentlichter single cell RNAseq Datensätze legt nahe, dass diese komplementkomponentenkodierenden Gene von verschiedenen Zelltypen exprimiert werden, darunter Immunzellen, Epikardzellen und Fibroblasten. Um transkriptionelle Unterschiede zwischen regenerierendem und nicht regenerierendem Gewebe zu identifizieren, verwendete ich ein nicht regeneratives Zebrabärblingmodell, die il11ra- Mutante. Dieser Mutante fehlt die Fähigkeit, verschiedene Organe zu regenerieren, das ist der Fall beim Herzen, dem larvalen Rumpf, und der Schwanzflosse. Ich stellte fest, dass die Mehrheit der verletzungsinduzierten komplementkomponentkodierenden Gene il11ra nachgeschaltet war. Darüber hinaus zeigten Experimente unter Verwendung chemischer Inhibitoren, dass speziell die Expression der komplementkomponentkodierenden Gene c3a.1,
c4b und c7a im Larvenrumpfamputationsmodell durch den Il11-Stat3-Signalweg moduliert wird.
Zur Klärung der Frage, ob das Komplementsystem und/ oder seine Komponenten eine Rolle während der Regeneration spielen, wurden verschiede Funktionsverlustmodelle generiert und im larvalen Rumpfamputationsmodell auf mögliche Aberrationen getestet. Zum einen generierte ich Überexpressionslinien von endogenen Inhibitoren der Komplementproteinspaltungskaskade. Überexpression eines etablierten Komplementsysteminhibitors rca2.1/ tecrem führte zu einer im Vergleich zu Wildtyp- Geschwistern verringerten Regeneration des larvalen Rumpfs. Zum anderen generierte ich Funktionsverlustmutanten von individuellen Komplementkomponenten durch CRISPR/Cas9 vermittelter Mutagenese, und zwar für masp1, masp2, cfd, c1s, c4b, c5 und c9. Die larvale Rumpfregeneration war in diesen Mutanten unauffällig. Allerdings zeigten c4b Mutanten eine verringerte Kardiomyozytenproliferation und eine differenzielle Expression von einigen Markergenen, einschließlich einer erhöhten Expression von inflammatorischen Zytokinen.
Meine Studien führten zu neuen Einblicken in das Komplementsystem im Kontext der Regeneration. Ich fand heraus, dass mehrere komplementkomponentenkodierenden Gene in regenerierendem Zebrabärblinggewebe exprimiert werden, und zwar im Herzgewebe, im larvalen Rumpf und in der adulten Flosse. Darüber hinaus zeige ich, dass die verletzungsinduzierte Expression von komplementkodierenden Genen in regenerierendem Gewebe dem Regenerationsmasterregulator il11ra nachgeschaltet ist. Speziell c3a.1, c4b und c7a wurden durch il11/ stat3 reguliert...
Compaction and spheroid formation modulates stemness and differentiation of human pancreas organoids
(2023)
The incidence of diabetes type 1 (T1D) in children and young adults is increasing worldwide. T1D is well treated by insulin administration. However, there is currently no long-lasting cure for this ailment. The success rate of pancreatic islet transplantation to treat T1D is limited by the availability of patient-matched islets and the necessity of using life-long immunosuppressive medication. The difficulties caused by transplantation can be overcome by generating bio-engineered pancreatic islets from patient-derived progenitor cells. Aim of this thesis is to establish new strategies for the generation and analysis of pancreatic lineages derived from human progenitor cells. It reports on the optimization of a technique to form human pancreatic spheroids from hollow monolayered human pancreas organoids (hPOs) to investigate how cell-cell and cell-matrix interaction can be leveraged to induce endocrine differentiation of the pancreas progenitor cell organoids. We introduce cell aggregation protocols to generate endocrine pancreas cell lineages from ductal pancreatic cells. Next, we study the effect of co-culture with stromal and endothelial cells to promote cell differentiation toward a pancreatic fate enhancing β cells productivity.
This thesis has focused on identifying the differences in gene expression along with phenotypical transformation during differentiation of human pancreatic organoids (hPOs) towards human β cells to be used in the future of cellular therapeutics in treating T1D patients.
Structure-function relationships in substrate binding protein dependent secondary transporters
(2023)
This work provides new insights into the relevance of SBP dependent secondary transport systems, especially in the thus far under-researched subgroup of TAXI transporters. Importantly, we identified and characterized the TAXI transport system TAXIPm-PQM from Proteus mirabilis. We demonstrated that, in contrast to previously characterized SBP dependent secondary transport systems, TAXIPm-PQM is a proton coupled system and transports the C5-dicarboxylate α- ketoglutarate. Since initially the transport of α-ketoglutarate could only be demonstrated in vivo but not in vitro using established protocols (Mulligan et al. 2009), we investigated in detail the differences between the in vivo and in vitro assay. This resulted in a bioinformatic analysis of TRAP and TAXI signal peptides, which strongly implied that TAXIPm-P requires a transmembrane anchor to allow for transport. We then provided TAXIPm-P surface tethered to the membrane in in vitro transport assays and confirmed the prediction of our bioinformatic analysis that TAXIPm-PQM deploys a membrane-anchored instead of a soluble SBP. Furthermore, the TAXI transport system TAXIMh-PQM from Marinobacter hydrocarbonoclasticus transports fumarate only if both membrane domains Q and M are present. For further characterization, Michaelis-Menten kinetics and affinities were determined for both TAXI transport systems TAXIPm-PQM from Proteus mirabilis and TAXIMh-PQM from Marinobacter hydrocarbonoclasticus. In addition, nanobodies were selected for the membrane domain TAXIPm-QM from Proteus mirabilis to stabilize different conformations which can serve in subsequent structural elucidation studies. Furthermore, the TRAP SBP TRAPHi-SiaP from Haemophilus influenzae was shown to interact not only with its corresponding membrane domain TRAPHi-SiaQM but with at least one additional transporter. It was thereby excluded that TRAPHi- SiaP transfers N-acetylneuraminic acid to the only native E. coli TRAP transporter TRAPEc-YiaMNO and suggested to rather interact with a SBP dependent ABC transport system as this protein family represents the largest SBP dependent protein group in E. coli (Moussatova et al. 2008).
Baleen whales (Mysticeti) are a clade of highly adapted carnivorous marine mammals that can reach extremely large body sizes and feature characteristic keratinaceous baleen plates used for obligate filter feeding. From a conservation perspective, nearly all baleen whale species were hunted extensively over a roughly 100 years lasting time period that depleted many of the respective whale stocks with so far unknown consequences for e.g. their molecular viability. From an evolutionary perspective, the lack of fossil records together with conflicting molecular patterns resulted in a still unclear and debated phylogeny of modern baleen whales, particularly in rorquals (Balaenopteridae). In this dissertation, I will demonstrate the application of baleen whale genomes to tackle these open questions by using modern approaches of conservation and evolutionary genomics.
Conservation genomic aspects of baleen whales were addressed in two projects, both using whole genome data of either an Icelandic fin whale (Balaenoptera physalus) population or multiple blue whale (Balaenoptera musculus) populations to evaluate the impact of the industrial whaling era on their molecular viability. The results suggest a substantial drop in effective population size of both species but also a lack of manifestation in genotypes of the fin whale population when compared to the blue whale populations. Especially the rare and short runs of homozygosity (ROH), usually indicative for inbreeding, suggest frequent outcrossing in fin whales while all analyzed blue whale populations featured long and frequent ROH. In addition to these analyses, genome data of blue whale populations was further used to evaluate if northern hemisphere blue whales diverged into different subspecies. Population genetic and gene flow analyses showed clearly separated and well isolated populations in accordance with their assumed geographical distance. In contrast, the genome-wide divergence between all blue whale populations was low compared to other cetacean populations and to the next closely related sei whale species. Because this includes the morphologically different and well recognized pygmy blue whale subspecies, a proposal was made to equally categorize the two northern-hemisphere blue whale populations as subspecies.
Evolutionary aspects were addressed in a third project, by constructing the genome of the pygmy right whale (Caperea marginata) and testing its potential in phylogenetics and cancer research. Phylogenomic analyses using fragments of a whole-genome alignment featuring nearly all extant baleen whales, allowed the revision of the complex evolutionary relationships of rorquals by quantifying and characterizing the amounts of conflicts in early diverging branches. These relationships were further used to identify phylogenetically independent pairs of baleen whales with a maximum of diverging body size differences to compare rates of positive selection between their genomes. The results suggest nearly evenly distributed frequencies of alternative topologies which supports the representation of the early divergence of rorquals as a hard polytomy with high amounts of introgression and incomplete lineage sorting. Within the set of available genomic data, three independent pairs of baleen whales with diverging body sizes were found and comparisons of positive selection rates resulted in many potentially body size and cancer related genes. The lack of conserved selection patterns, however, suggest a more convergent evolution of size and cancer resistance like previously discussed in paleontology.
In conclusion, the application of whole genome data using methods of conservation genetics allowed for a comprehensive estimation about the molecular viability of blue and fin whales as well as an assessment of the taxonomic status of northern-hemisphere blue whale populations. The rather different results between blue and fin whales underlines the importance of genomic monitoring of baleen whales because different species show rather different molecular consequences of their potentially varying depletions. Furthermore, as showcased for the northern-hemisphere blue whale, many important isolated populations of baleen whales may still be unknown to conservation management and genome-wide comparisons will most likely contribute to overcome this under-classification problem. The application of whole genome data in evolutionary research allowed the characterization of the complex patterns of molecular conflicts within baleen whales and especially rorquals that will contribute to the still rather unclear understanding of their evolution. The here found molecular support for the idea of convergent evolution of gigantism in whales will further guide the search for molecular patterns responsible for Peto’s paradox.
Large international airports were identified as sources of ultrafine particles (UFPs) (Hu et al., 2009; Yu et al., 2012; Hsu et al., 2013; Keuken et al., 2015; Hudda and Fruin, 2016). Since September 2017 UFP emissions originating from the Frankfurt International Airport, Germany are monitored by the Hessian Agency for Nature Conservation, Environment and Geology (HLNUG) showing elevated UFP concentrations during airport operating hours (05:00–23:00 CET) (Ditas et al., 2022). Referring to that, the organic chemical composition of aviation-related UFPs emerging from the Frankfurt Airport was analysed by performing a comprehensive non-target screening of UFP filter samples.
Aluminium-filter samples were collected at an air quality monitoring station 4 km north of the Frankfurt Airport, using a 13-stage impactor system (Nano-MOUDI). The chemical
characterization of UFPs in the size range of 10-18 nm, 18-32 nm and 32-56 nm was accomplished by ultra-high-performance liquid chromatography, heated electrospray ionisation and mass analysis using an Orbitrap high-resolution mass spectrometer. Non-target screening revealed that the majority of detected compounds belong to homologous series of two different types of organic esters, which are base stocks of aircraft lubrication oils.
In reference to five different jet engine lubrication oils of various manufacturers, the corresponding lubricant base stocks and their additives, two amines and one organophosphate, were identified in the UFPs by the use of matching retention time, exact mass and MS/MS fragmentation pattern of single organic molecules. The quantitative analysis of the jet engine oil constituents in the aviation-related UFPs with diameters < 56 nm was accomplished by standard addition. By characterizing the Nano-MOUDI, loss factors for each size stage were determined and used for correction accordingly. Particle-number size distribution measurements, conducted parallel to the filter sampling, enabled the determination of the jet engine oil contribution to the UFP mass.
Furthermore, the nucleation and particle formation potential of a commonly used synthetic jet engine lubrication oil was investigated in the laboratory. Thermodenuder experiments at 20 °C and 300 °C were carried out to monitor the gas-to-particle partitioning behaviour of jet engine oils. At 300 °C a significantly higher number of particles with a mean diameter of ~10 nm are formed, leading to a more than fivefold increase in total particle numbers compared to 20 °C. Particle diameters of the newly formed oil particles in the laboratory experiment appeared in the same size region as UFPs emerging from Frankfurt Airport. Particles originating from the Frankfurt city centre direction showed larger diameters.
Results indicate that aircraft emissions strongly influence the total mass of 10-18 nm particles. The jet oil fraction decreases for bigger particles (e.g., 18-56 nm), implying that these oils form new particles in the cooling exhaust gases of aircraft engines. In addition, non-target screening and in vitro bioassays on aviation-related PM2.5 filter samples were combined to provide indications for potential toxicologically relevant compounds in dependence of different wind directions and airport operations. Most recently, the applied non-target screening method was also used to identify seasonal variations in the organic aerosol composition in Beijing.
Investigation of the kinematics involved in compton scattering and hard X-ray photoabsorption
(2023)
The present work investigates the kinematics of Compton scattering at gaseous, internally-cool helium and molecular nitrogen targets in the high- and the low-energy regime. Additionally, photoionization at molecular nitrogen with high-energy photons is investigated. These exeprimental regimes were previously inaccessible due to the extremely small cross sections involved. Nowadays, the third- and fourth-generation synchrotron machines produce sufficient photon flux, enabling the investiagtion of the above processes. The utilized cold-target recoil-ion momentum spectroscopy (COLTRIMS) technique further increases the detection efficiency of the observed processes, since it enables full-solid-angle detection by exploiting momentum conservation.
Compton scattering is investigated at both high (helium and N2) and low (helium) photon energies. In the high-energy regime, the impulse approximation is mostly valid, which is not the case for the low-energy regime. The impulse approximation assumes that the Compton-scattering process takes place at a free electron with a momentum distribution as if it was bound, thus ignoring the binding energy of the system. In the low-energy regime, the impulse approximation is not valid.
Photoionization is investigated at high photon energies, where the linear momentum of the photon cannot be neglected, as is the fashion of the commonly used dipole approximation.
N6-methyladenosine (m6A) is the most abundant and well understood modification in eukaryotic mRNA and was first identified in polyadenylated parts of the mRNA.The distinct distribution of m6A in the transcriptome with special enrichment in long internal exons, 39UTRs and around stop codons was uncovered by early biochemical work and later on antibody based sequencing techniques. The so called m6A writer, reader and eraser machinery is responsible for the dynamic and with that regulatory nature of the m6A modification. As m6A writer, the human N6-methyltransferase complex (MTC) cotranscriptionally methylates the central adenine within a RRACH (preferably GGACU) sequence context to form m6A in the nascent RNA chain.9–15 The catalytic core of the complex is formed by the two proteins METTL3 and METTL14, with the active site located in the methyltransferase domain (MTD) of METTL3.16–18 The DPPW motif near the methyl donor S-adenosylmethionine (SAM) binding site in this MTD was postulated to bind the target adenine during catalysis. Moreover, a positively charged groove in the METTL3-METTL14 interface, the C-terminal RGG domain in METTL14 and the zinc finger motifs in METTL3 were identified as important domains for RNA binding. However, to date there are no full-length or substrate-RNA-bound structures of the catalytic METTL3-METTL14 complex.
In addition, a set of accessory proteins assembles to the METTL3-METTL14 heterodimer to form the full MTC, mediated by WTAP that firmly binds to the N-terminal leader helix in METTL3.20 WTAP was shown to locate the whole complex to the nuclear speckles and can modulate m6A deposition to specific sites in the RNA. Moreover, WTAP acts as binding platform for other accessory proteins including VIRMA, RBM15, ZC3H13 and HAKAI that are mostly identified to mediate position specific methylation. For example, RBM15 was shown to mediates region-selective methylation in a WTAP dependent manner, directing specificity towards U-rich sequences.
The observed specificity of the methyltransferase complex to methylate only site specific DRACH sequenced is still poorly understood. Some possible modulators like the role of the accessory proteins are under investigation, however, the structural context of the RNA methylation sites or a structural preference of the complex have been mainly neglected so far. Moreover, the structural dynamics of this methylation process still remain elusive. This thesis contributes to the afore-mentioned aspects by analysis of the methylation process regarding RNA structure sensitivity with enzymatic activity assays and its dynamic nature by implementing a smFRET approach.
We hypothesized the target RNA secondary structure to be an additional important modulator of methylation efficiency, based on the RNA binding elements of the complex (positively charged binding groove, zinc finger domain, RGG domain) and the supposed target adenine binding in the active site. Here, we postulated the possibility for a flipped-out adenine to be of special relevance, which is closely related to the local stability of the target adenine containing structure. Moreover, efficient binding of the protein complex to the RNA should require the ability to anchor the RNA on both sides of the target sequence.
Xylose, an abundant sugar fraction of lignocellulosic biomass, is a five-carbon skeleton molecule. Since decades, utilization of this sugar has gained much attention and has been in particular focus as a substrate for production of biofuels like ethanol by microbial hosts, including Saccharomyces cerevisiae. In this yeast, xylose is naturally not used as a carbon source, but its utilization could be achieved by metabolic engineering either via the oxidoreductive route or through the isomerase pathway. Both pathways share xylulose as a common intermediate that must be phosphorylated before entering the endogenous metabolism via the non-oxidative pentose phosphate pathway (noxPPP). Besides this, in some bacteria a non-phosphorylating oxidative pathway for xylose degradation exists, known as Weimberg pathway, where a molecule of xylose is converted by a series of enzymes - xylose dehydrogenase (XylB), xylonate dehydratase (XylD), 3-keto-2-deoxy-xylonate dehydratase (XylX) and α-ketoglutarate semialdehyde dehydrogenase (KsaD) - to form α-ketoglutarate (AKG). Besides having several useful properties as a product, AKG could also be used for cell growth as an intermediate of the tricarboxylic acid (TCA) cycle. One target of the present study is to establish a functional Weimberg pathway in S. cerevisiae. Previous studies have shown that this task is not trivial, for instance due to the toxicity of xylonate (the first metabolite of the pathway) and the involvement of an iron-sulfur cluster dependent enzyme, the D-xylonate dehydratase. The assembly of iron-sulfur clusters on a heterologous protein in yeast is known to be challenging.
To establish the Weimberg pathway in yeast, the genes xylB, xylD, and xylX were obtained from Caulobacter cresentus and ksaD was from Corynebacterium glutamicum. In a variant, the dehydratase xylD was replaced with orf41 from Arthrobacter nicotinovorans, which is believed to be independent of iron-sulfur clusters. Growth of yeast cells on xylose as a sole carbon source was expected as an indicator of a functional Weimberg pathway. However, the heterologous expression of the codon optimized genes was not sufficient to reach this goal. Due to the complexity of the interactions of the heterologous pathway with the endogenous cellular processes, it was assumed that potential limitations could be overcome by adaptive laboratory evolution, using xylose as a sole source of carbon. Increasing selection pressure was applied on a strain with Weimberg pathway genes integrated into the genome over several generations. As a variant of the evolutionary engineering approach, mutator strains were generated. For this, RAD27 and MSH2 genes were deleted, which are involved in nucleotide excision and mismatch repair mechanisms, respectively. Some of the resulting strains PRY24, PRY25, PRY27 and PRY28 were able grow in xylose as a sole carbon source after evolutionary engineering. As a control, a non-mutator strain PRY19 was also included. Strikingly, only the mutator strains were able to consume xylose as a sole carbon source, which shows the feasibility of the approach.
In addition to the mutator strain strategy, a further approach employed in the present study was the simultaneous expression of the Weimberg pathway in the cytosol and mitochondria. This was based on the reasoning that the iron-sulfur cluster biogenesis on XylD may be improved in the organelle and that the AKG is an intermediate of the TCA cycle. In the strain AHY02, all enzymes of the pathway were tagged with mitochondrial targeting signals in addition to a full cytosolically localized pathway. The localization of the mitochondrial variants was confirmed by fluorescence microscopy. Together with AHY02, CEN.PK2-1C wild type strain was also included as a control for evolution. When a selection pressure on xylose was applied, both strains - AHY02 and CEN.PK2-1C - were able to grow in the course of evolution. Deletion of the xylulokinase (XKS1) gene was found to be detrimental for both evolved strains in xylose-containing media. This suggests that the evolution of the endogenous oxidoreductive and noxPPP genes is responsible for growth of the evolved cells. For the evolved strain AHY02, it could also be possible that the Weimberg pathway genes supported to growth in addition to the oxidoreductive route. To elucidate the underlying molecular mechanisms, genome sequencing and reverse engineering approaches would be necessary in future.
In addition to screening for growth on xylose as a sole carbon source, a less stringent screening system was created to examine even a minor flux of xylose towards AKG. For this, all genes necessary for conversion of isocitrate to AKG where deleted, yielding a glutamate auxotrophic strain. In this system, the cells can grow on other carbon sources, whereas xylose is only provided as a source of AKG for the synthesis of glutamate...
Identification of new natural products from nematode-associated bacteria using mass spectrometry
(2023)
This work aims to find unknown natural products produced by bacteria, that live in close association with nematodes and to elucidate their structure by using mass spectrometry.
The first chapter of this work is dedicated to the detection of hitherto unknown natural products by using a metabolomics approach and subsequent structure elucidation of said compounds. This chapter includes metabolomics analysis of Xenorhabdus szentirmaii wild type and knockout mutants, overproduction of the target compound, identification of derivatives from other strains and MS based structure elucidation.
The second and third chapters are about natural products that protect C. elegans from B. thuringiensis infections.
The second chapter deals with natural products that protect the nematode host without killing the pathogen. I deployed molecular biology methods to generate deletion and overproduction strains of a target compound, identified it via LC-MS/MS analysis and used LC-MS/MS and lipidomics to analyse the chemical properties of the active compound.
The third chapter aims at finding natural products, which are produced by Pseudomonas strains MYb11 and MYb12, respectively. These natural products display the ability to protect C. elegans by killing B. thuringiensis. I identified said compounds via fractionation and subsequent bioactivity testing. After identification, I generated production strains of the target compounds and elucidated the structure of the bioactive derivative.
The last chapter deals with the structure elucidation of peptides produced by an unusual GameXPeptide synthetase in Xenorhabdus miraniensis. I analysed producer strains of GameXPeptides using LC-MS and elucidated the structural differences between the known GameXPeptides, produced by P. luminescens TT01, and the unusual ones produced by X. miraniensis.
Die vorliegende Dissertation mit dem Titel “Structural dynamics of eukaryotic H/ACA RNPs from Saccharomyces cerevisiae & Structural dynamics of the Guanidine-II riboswitch from Escherichia coli” besteht aus zwei Projekten. Das erste Projekt befasst sich mit den eukaryotischen H/ACA Ribonukleoproteinen (RNP) aus der Hefe. Diese können sequenzspezifisch in der RNA ein Uridin Nukleotid in das Rotationsisomer Pseudouridin (Ψ) umwandeln. Die H/ACA RNPs bestehen aus einer Leit-RNA und vier Proteinen, der katalytisch aktiven Pseudouridylase Cbf5, Nhp2, Gar1 und Nop10. Die Leit-RNA besteht in Eukaryoten konserviert aus zwei Haarnadelstrukturen, die von einem H-Box oder ACA-Box Sequenzmotiv gefolgt sind. In jeder dieser Haarnadeln befindet sich ein ungepaarter Bereich, die sogenannte Pseudouridylierungstasche, wo durch komplementäre Basenpaarung die Ziel-RNA gebunden wird. Fehlerhafte H/ACA RNPs können beim Menschen zu schweren Krankheiten wie verschiedenen Krebsarten oder dem Knochenmarksversagen Dyskeratosis congenita führen, aber sie bieten auch Möglichkeiten zum Einsatz als Therapiemethode. In dieser Arbeit wurde hauptsächlich der zweiteilige Aufbau der H/ACA RNPs untersucht.
Dafür wurden zunächst die einzelnen Komponenten hergestellt werden. Cbf5, Nop10 und Gar1 wurden zusammen heterolog in E. coli exprimiert und gereinigt. Außerdem wurden mehrere Deletionsvarianten von Gar1 hergestellt. Zusätzlich wurde die Leit-RNA unmarkiert über T7 Transkription synthetisiert, sowie sechs verschiedene FRET-Konstrukte mit verschiedenen Markierungschemas der Fluorophore Cy3 und Cy5 über DNA-geschiente Ligation. Anschließend wurde über Größenausschlusschromatographie und radioaktiven Aktivitätsassays geprüft, dass sich die aktiven H/ACA RNPs in vitro aus den einzelnen Komponenten rekonstituieren lassen.
In smFRET Experimenten wurden einzelne Haarnadelstrukturen mit dem zweiteiligen Komplexen verglichen. Dabei konnte gezeigt werden, dass die H3 Haarnadel durch die Anwesenheit von H5 dynamischer und heterogener wurde, während H5 überwiegend unbeeinflusst war. Außerdem konnte die dreidimensionale Orientierung der Haarnadelstrukturen in verschiedenen Assemblierungsschritten mittels smFRET untersucht werden. Hier deutete sich an, dass in Abwesenheit von Proteinen beide Haarnadeln eher entgegengesetzt stehen als in einer parallelen Konformation. Cbf5 scheint den Linker zwischen den Beiden auszustrecken bzw. zu orientieren und die Haarnadelstrukturen etwas gegeneinander zu neigen. Ein Zusammenspiel von Nhp2 und Gar1 war nötig um die oberen Bereiche der Haarnadeln zusammenzuziehen. Es konnte auch ein Modell für den vollen H/ACA RNP vorgeschlagen werden. Im kompletten Komplex könnte das Zusammenziehen der Haarnadelstrukturen durch Nhp2 und Gar1 mit dem Effekt von Cbf5 konkurrieren und könnte hauptsächlich den oberen Bereich von H3 betreffen. Zum Schluss wurde das Zusammenspiel von Gar1 und Nhp2 auf eine Abhängigkeit von den RGG Domänen von Gar1 hin untersucht. Hier besteht möglicherweise eine Hierarchie, die eine Kooperativität von den N- und C-terminalen Domänen benötigt.
Das zweite Projekt befasst sich mit dem Guanidin-II Riboschalter aus E. coli. Der Riboschalter kann das toxische Molekül Guanidinium (Gdm+) spezifisch in seiner Aptamerdomäne binden und dadurch die Genexpression von Proteinen zur Detoxifizierung von Gdm+ aktivieren. Der Riboschalter besteht aus zwei Haarnadelstrukturen, mit einer Schleife, die aus der Sequenz ACGR besteht, wobei R ein Purin ist. In einem vorgeschlagenen Modell soll die Ribosomenbindestelle (Shine-Dalgarno Sequenz) in Abwesenheit von Ligand mit dem Linker komplementär Basenpaaren und so die Translation verhindern. Mit Ligand würde sich dann eine Schleifen-Schleifen Interaktion mit den beiden CG Basen ausbilden, wodurch die Anti-Shine-Dalgarno Sequenz nicht mehr zugänglich wäre. Bisherige Studien arbeiteten zumeist nur mit der Aptamerdomäne, den einzelnen Haarnadeln oder noch kleineren Elementen. In dieser Arbeit wurden die Strukturdynamiken von verschiedenen Längen, auch mit der Expressionsplatform, untersucht. Außerdem wurden verschiedene Mutationen analysiert und die Effekte auf den Riboschalter in seiner natürlichen Umgebung in E. coli.
Zunächst mussten insgesamt 24 FRET-Konstrukte hergestellt werden, die sich in Länge, Markierungsschema und Mutationen unterschieden. Hierfür wurde DNA-geschiente Ligation verwendet. Dank der verschiedenen Fluorophorpositionen konnte ein konformationelles Modell für die Aptamerdomäne vorgeschlagen werden. In diesem Modell könnte in Abwesenheit von Ionen das Aptamer offen vorliegen. Durch Mg2+ würde sich bereits eine lockere Schleifen-Schleifen Interaktion ausbilden. Zusätzlich deuten die Ergebnisse auf eine neue Konformation hin, der stabilisierten Schleifen-Schleifen Interaktion, bei der der Linker zusätzlich mit den Haarnadelstrukturen interagiert, beispielswese mit den Purinen an der vierten Schleifenposition...
Electrospinning is a versatile and promising drug delivery technology for the development of tailor-made drug delivery systems for various clinical applications. By applying high voltages to drug-loaded polymer solutions, solid polymeric nanofibers can be generated, which encapsulate active pharmaceutical ingredients (APIs) into their polymer matrix. During the electrospinning process, the fibers are deposited on a collector and form a nonwoven network of drug-loaded polymer fibers. These fibers are spatially distributed in aligned or random orientation, providing the opportunity to design highly tunable structural and mechanical properties, which can be adapted to the biological requirements of the intended application site. The mechanically flexible fiber networks can therapeutically be administered to a multitude of pharmaceutical application sites. Their highly porous fiber structure exhibits a large surface-to-volume ratio, which is ideal for controlled drug release kinetics from the polymer matrix upon contact with biological fluids, such as tear fluid, saliva, mucus, wound exudate or gastro-intestinal fluid. For application at the target site, fiber mats are cut into patches. As the patch size determines the quantity of applied API, the electrospinning process must ensure homogeneous distribution of the API throughout the entire fiber mat area.
In this thesis, electrospinning was established as a formulation technology for the rational fabrication of tailor-made multifunctional drug carrier systems for local and site-specific drug delivery to the epithelial interfaces skin, oral mucosa as well as cornea. For adequate characterization and analysis of the drug delivery systems, a broad panel of robust and predictive analytical tools, based of novel investigation techniques for physicochemical characterization of electrospun fibers, was developed.
The initial part of the thesis thematically focuses on the development of predictive analytical techniques, to determine fiber morphology and physicochemical properties, as well as fiber composition and drug release. By designing two model formulations with contrasting properties, and subsequent analysis and characterization with a set of newly developed techniques and state-of-the-art methods, a comprehensive toolset has been made available and evaluated, aiming at advancing and standardizing respective techniques in the scientific field of electrospun drug delivery systems.
Starting with the initiation of the electrospinning formulation process, which often relies on empirical data rather than analytical methods to predict successful processability, analysis of rheological properties of electrospinning solutions was used to rationally detect the minimum polymer concentration required for electrospinning.
For analysis of fiber morphology, scanning electron microscopy is a common technique. However, little attention is given to underlying readout parameters. By analyzing the fiber orientation and diameter of the respective fibers, predictive results regarding mechanical properties could be obtained, which were subsequently confirmed by measuring elongation force with tensile testing. Confocal Raman microscopy, a label-free method for chemically- selective imaging of the fiber samples, was introduced as a complementary visualization technique, enabling the detection of fiber composition and drug distribution.
A novel technique for investigation of water contact angles on the fiber surface of highly hydrophilic polymers was introduced, which provides predictive data regarding interaction with body fluids and the resulting drug release kinetics. Subsequent release testing in a newly developed setup for analyzing drug release from electrospun fibers in low-volume body compartments, confirmed the anticipated drug release kinetics from measurement of the surface hydrophilicity.
By combining complementary analytical methods, including spectral composition analysis, morphology visualization, characterization of physico-chemical properties and drug release kinetics, as well as the application of multivariate data analysis, a robust and predictive toolset has been established, which can support comparability of future electrospinning studies and the translation from the lab bench into clinics.
Based on the analytical toolset, the main part of the thesis focuses on the development and preparation of electrospun platform drug delivery systems for application on epithelial barriers. Electrospun fiber mats are thin, flat, and mechanically flexible, which allows close adherence to epithelial surfaces and reduction of diffusion paths, which enables efficient drug delivery to the skin, oral mucosa, as well as the cornea.
Electrospun fibers bear a high potential for application as wound dressings, while simultaneously controlling the local delivery of APIs to the wound area. Their close resemblance to the extracellular matrix of human skin provides a suitable microenvironment for cellular proliferation and migration for wound closure. In this work, insulin, a fragile proteohormone with growth factor characteristics, was successfully encapsulated into the core of coaxially electrospun fibers, thus maintaining bioactivity throughout and after the electrospinning process. The shell has been designed from biocompatible polymers, which, upon contact with aqueous wound exudate, partially dissolve and form pores through which bioactive insulin is released in a controlled manner. The shell layer provides a hydrophilic surface for interaction with body fluids and skin cells, and possesses substantial mechanical strength, flexibility, and high tensile elongation required for application on wounds. The biocompatibility of the wound dressing was investigated by interaction with primary human dermal fibroblasts and keratinocytes, which displayed healthy cell morphologies without indicating any elevated levels of cytotoxicity markers.
To investigate the effect of insulin on cell migration, in vitro scratch assays on human skin cells were performed. Increased cellular migration speed and wound closure could be observed, indicating improved wound healing. Bio relevance of in vitro wound healing potential results was advanced by development of 3D ex vivo human epidermal skin wound models from reduction surgery donor material. These complex wound models were treated with electrospun insulin fibers and analyzed by proteome analysis to reveal significant increases in wound healing-associated signaling pathways, which could be attributed to a material-driven remarkably positive impact on wound healing of the electrospun fibers...
Die Zahl der gramnegativen Bakterien auf der WHO-Liste der Antibiotikaresistenzen hat in den letzten Jahrzehnten erheblich zugenommen. Schätzungen zufolge wird die Antibiotikaresistenz bis 2050 tödlicher sein als Krebs. Die äußere Membran gramnegativer Bakterien ist aufgrund ihres wichtigsten Strukturbestandteils, des Lipopolysaccharids (LPS), sehr anpassungsfähig an Umweltveränderungen. Das LPS macht gramnegative Bakterien von Natur aus resistent gegen viele Antibiotika und führt somit zu Antibiotikaresistenz. Der bakterielle ATP-bindende Kassettentransporter (ABC-Transporter) MsbA spielt eine entscheidende Rolle bei der Regulierung der bakteriellen Außenmembran, indem er das Kern-LPS durch ATP-Hydrolyse über die Innenmembran von gramnegativen Bakterien flockt. Darüber hinaus fungiert diese Floppase als Efflux-Pumpe, indem sie Medikamente durch die innere Membran transportiert, was sie zu einem interessanten Ziel für Medikamente macht. Vor kurzem wurden zwei verschiedene Klassen von MsbA-Inhibitoren entdeckt: (1) Tetrahydrobenzothiophene (TBT), die den LPS-Transport aufheben, und (2) Chinolinderivate, die sowohl die ATP-Hydrolyse als auch die LPS-Translokation blockieren. Darüber hinaus hat die Bestimmung der 3D-Struktur von MsbA durch Rontgen- und Kryo-EM mehrere interessante Zustände der Floppase ergeben. Die Kernspinresonanzspektroskopie ist eine hervorragende biophysikalische Methode zur Ergänzung der vorhandenen 3D-Strukturdaten. Insbesondere ermöglicht die Festkörper-NMR die Untersuchung von Membranproteinen in einer nativen Umgebung (z. B. in einer Lipiddoppelschicht). In der Vergangenheit hat unser Labor mithilfe der Festkörper-NMR einige detaillierte Mechanismen von MsbA aufgedeckt. Trotz der zahlreichen Fortschritte bei der Untersuchung der ABC-Transporterprotein-Superfamilie ist der spezifische Prozess der Substrattranslokation von MsbA noch immer unbekannt. Es wird angenommen, dass dieser Translokationsprozess über die Kopplungshelices (CHs) erfolgt, die sich zwischen der Transmembranregion (TMD) und der Nukleotidbindungsdomäne (NBD) befinden. Nukleotid-Bindungsdomäne (NBD). Zu diesem Zweck wird dem Zusammenspiel zwischen der TMD und der NBD über die CHs besondere Aufmerksamkeit gewidmet, mit dem Ziel, den Prozess der Substrattranslokation mithilfe von funktionellen Assays und Festkörper-NMR zu verstehen. Bei letzterem wurden spezifische Reporter in die CHs eingeführt, um Konformationsänderungen in 2D-spektroskopischen Daten zu verfolgen. Darüber hinaus wurde zeitaufgelöste NMR eingesetzt, um die Auswirkungen verschiedener Substrate in der TMD während der ATP-Hydrolyse in der NBD sichtbar zu machen. Die einzigartigen Reporter in den CHs haben Konformationsänderungen in bestimmten katalytischen Zuständen gezeigt. Darüber hinaus scheinen verschiedene Substrate die Kinetik der ATP-Hydrolyse zu beeinflussen. Die Ergebnisse zeigten, dass einige Substrate einen bevorzugten katalytischen Zustand innerhalb des ATP-Hydrolyse Zyklus aufweisen, der möglicherweise einen gekoppelten oder ungekoppelten Kinasemechanismus hat. Diese Ergebnisse könnten verschiedene Einblicke in die molekulare Struktur potenzieller neuer Antibiotika liefern.
Blockchains in public administration : a RADIUS on blockchain framework for public administration
(2023)
The emergence of blockchain technology has generated a great deal of attention, as reflected in numerous scientific and journalistic articles. However, the implementation of blockchain for public administrations in Germany has encountered a setback owing to unsuccessful initiatives. Initial enthusiasm was followed by disillusionment. Nevertheless, technology continues to evolve. This paper examines whether the use of a blockchain can still optimize the processes of public administrations. Not only the failed projects are analysed, but also more current applications of the technology and their potential relevance for the administration, especially in the state of Hesse.
To answer if blockchains are promising to administrations, a Design Science Research (DSR) research approach is chosen. The DSR method is a research-based approach that aims to create new and innovative solutions to real-world problems through the development and evaluation of artefacts such as models, methods, or prototypes. For this work, the implementation of a framework to realize an Authentication, Authorization, and Accounting (AAA) system on the blockchain was identified as profitable. The framework aims to implement the aforementioned AAA tasks using a blockchain. The Remote Authentication Dial-In User Service (RADIUS) protocol has been identified as a potential protocol of the AAA system. The goal is to create a way to implement the system either entirely on a blockchain or as a hybrid system. Various blockchain technologies will be considered. Suitable for development, the framework AAA-me is named.
The development of AAA-me has shown that the desired framework for implementing RADIUS on the blockchain is possible in various degrees of implementation. Previous work mostly relied on full development. Additionally, it has been shown that AAA-me can be used to perform hybrid integration at different implementation levels. This makes AAA-me stand out from the few hybrid previous approaches. Furthermore, AAA-me was investigated in different laboratory environments. This was to determine the expected resilience against Single Point of Failure (SPOF). The results of the lab investigation indicated that a RADIUS system on top of a blockchain can provide benefits in terms of security and performance. In the lab environment, times were measured within which a series of authorization requests were processed. In addition, it was illustrated how a RADIUS system implemented using blockchain can protect itself against Man-in-the-Middle (MITM) attacks.
Finally, in collaboration with the Hessian Central Office for Data Processing (German: Hessische Zentrale für Datenverarbeitung) (HZD), another test lab demonstrated how a RADIUS system on the blockchain can integrate with the existing IT systems of the German state of Hesse. Based on these findings, this work reevaluated the applicability of blockchain technology for public administration processes.
The work has thus shown that the use of a blockchain can still be purposeful. However, it has also been shown that an implementation can bring many problems with it. The small number of blockchain developers and engineers also poses the risk of finding people to develop and maintain a system. In addition, one faces the problem of determining an architecture now that will be applied to many projects in the future. However, each project can, in turn, have an impact on the choice of architecture. Once one has solved this problem and a blockchain infrastructure is available, it can be established quickly and be more SPOF resistant, for example, for Public Key Infrastructure (PKI) systems.
AAA-me was only applied in lab and test environments. As a result, no real data ran over its own infrastructure. This allowed the necessary flexibility for development. However, system-related properties could appear in real situations that are not detectable here in this way. Furthermore, the initial stage of AAA-me’s development is still in its infancy. Many manual adjustments need to be made in order for this to integrate with an existing RADIUS system. Also, no system security effort in and of itself has been carried out in the lab environments. Thus, vulnerabilities can quickly open up on web servers due to misconfigurations and missing updates. For the above reasons, productive use should be discouraged unless major developments are carried out.
Synaptic transmission is a fundamental process that involves the transfer of information from a presynaptic neuron to a target cell through the release of neurotransmitters. The SV cycle is a complex series of events that enables the recycling of SVs, allowing for the sustained release of neurotransmitters. This process is mediated by a variety of proteins and enzymes, and its regulation is critical for maintaining proper synaptic function. Despite extensive research efforts, many aspects of the SV cycle and the underlying synaptic proteins remain poorly understood, highlighting the need for continued investigation into this important process. During this work, multiple aspects of synaptic transmission were studied by performing
behavioural, pharmacological, optogenetic, electrophysiological and ultrastructural assays on Caenorhabditis elegans. First, the role of two proteins (ERP-1 and RIMB-1) were analysed in the synaptic vesicle cycle. Second, a new optogenetic tool, the pOpsicle assay was described, which enables the direct visualization of synaptic vesicle (SV) release.
Activity-dependent bulk endocytosis (ADBE) enables the endocytosis of SV membrane and proteins in a fast manner during intense stimulation, resulting in bulk endosomes (also so-called large vesicles, LVs). Recycling proteins can be characterized by its site of action, whether they act at the plasma membrane (participating at the LV formation), or at the LV membrane (participating at the SV formation). ERP-1 (the C. elegans ortholog of Endophilin B) was recently identified as a possible SV recycling factor, its contribution to synaptic transmission has not been analysed before. During this project the function and possible cooperation of three proteins, ERP-1, UNC-57 (the C. elegans ortholog of Endophilin A) and CHC-1 (the C. elegans ortholog clathrin heavy chain) were studied, with a special emphasis of the site of action. It has been confirmed that these proteins participate together in synaptic vesicle recycling. Endophilins (ERP-1 and UNC-57) act both at the PM and the LV level, but while UNC-57 has been identified as the main player, ERP-1 rather has a minor role and acts as a back-up protein. CHC-1 functions the LV level in the first place, but it can compensate for the loss of UNC-57 and acts as a back-up protein at the PM.
RIM-binding protein is an evolutionarily conserved active zone protein, which interacts directly with RIM and N, P/Q, as well as L-type Ca2+ channels. RIM-BP and RIM have redundant functions in different model organisms including C. elegans, however, while the loss of UNC-10 (the C. elegans ortholog of RIM) led to drastic behavioural defects, the loss of RIMB-1 (the C. elegans ortholog of RIM-BP) led only to mild phenotypes. During this work the synaptic function of RIMB-1 and its interaction with UNC-10 and UNC-2 (C. elegans ortholog of the CaV2 1 subunit) were extensively investigated. It has been shown that RIMB-1 contributes to the precise localization of VGCCs in cooperation with UNC-10. Furthermore, it has been demonstrated, that RIMB-1 plays different roles in cholinergic and GABAergic neurons, thus it contributes to maintain a proper excitation/inhibition balance.
There are numerous available assays, which enable the indirect analysis of synaptic transmission, however, a tool, that enables the direct visualization of SV release, is highly desired. pOpsicle is a method which combines the optogenetic stimulation of cholinergic neurons with real-time visualization of SV release. A pH-sensitive fluorescence protein, pHuji, was inserted into the second intravesicular loop of the synaptic vesicle membrane protein, synaptogyrin (SNG-1). The fluorescence of pHuji is quenched inside the vesicles, but once they are released, the pH increases and pHuji can be detected. pOpsicle enables not only the direct visualization of SV exo-, and endocytosis events, but also the identification of putative SV recycling proteins.
Semi-arid African ecosystems influence trends and variability in global terrestrial carbon dynamics. However, there are uncertainties in potential effects of future climates for semi-arid ecosystems, especially for niche ecosystems. At the same time, African ecosystems provide the livelihoods and ecosystem services for around 1.4 billion people. Future population growth and associated changes in land use pose a challenge for the protection of African biodiversity. Therefore, this work focussed on future impacts of climate change on African ecosystems and carbon dynamics and also for African protected areas (PAs), where they may cooccur with other global change factors. Another focus was on uncertainties associated with future projections and with modelling the Nama Karoo, as an example of a semi-arid niche ecosystem. Dynamic vegetation models (DVMs) were the main research tool.
In Chapter 2, we analysed climate change impacts on African ecosystems and carbon pools until the end of the 21st century and associated uncertainties based on an ensemble of vegetation simulations with the DVM adaptive dynamic vegetation model (aDGVM). We investigated the impact of increased atmospheric CO2 concentrations and two climate change scenarios (medium (RCP4.5) and high emissions (RCP8.5); RCP - representative concentration pathway) on vegetation changes. Differences in the simulated vegetation were primarily driven by assumptions about the influence of CO2 on plants. Elevated CO2 concentrations led to increased total aboveground vegetation biomass and shrub encroachment into grasslands and savannas for both climate scenarios. In simulations without the direct influence of CO2 on plants, there was hardly any shrub encroachment and vegetation biomass decreased or varied between a slight decrease in some cases and a slight increase in others. Based on these results, biome changes due to climate change are likely in Africa in the future. Due to the large uncertainties in future projections, strategies to adapt to climate change must be flexible.
The simulated vegetation in Chapter 2 represented potential, natural vegetation and is particularly suitable to investigate PAs. However, PAs do not exist isolated from their environment and social developments. In Chapter 3, the vegetation projections with CO2 effect from Chapter 2 were combined with projections for population density and land use. Except for many PAs in North Africa, most PAs were adversely affected by at least one of the three drivers by the end of the 21st century in both investigated scenarios ("middle-of-the-road" and "fossil-fuelled development"). Cooccurrence of the drivers varied by region and scenario for PAs. Both scenarios implied increasing challenges for the conservation of African biodiversity in PAs. The impact of climate change on vegetation is likely to be exacerbated by socio-economic change for most African PAs. Strong mitigation of future climate change together with equitable societal development may facilitate successful ecosystem conservation.
The simulations in Chapters 2 and 3 showed large-scale patterns of vegetation change, but their low resolution makes them unsuitable for local analyses. In Chapter 4, the challenges of simulating smaller scale, semi-arid ecosystems and their carbon cycle were analysed for the Nama Karoo with the aDGVM2 and its shrub module. The aDGVM2 is based on the aDGVM, but represents plants more flexibly. In all tested aDGVM2 configurations, the carbon fluxes improved compared to initial simulations but still overestimated them. The measured morphology of the dwarf shrubs and soil water dynamics were not reproduced in aDGVM2. Semi-arid soil water dynamics and coping strategies of semi-arid dwarf shrubs under drought stress are not adequately implemented in the aDGVM2. Further field research on semi-arid water and carbon dynamics of vegetation is necessary to parameterise the aDGVM2 for dwarf shrubs. If these challenges are overcome, DVMs can be a powerful tool for much-needed research on the impacts of climate change on the Nama Karoo.
The analyses have shown that climate change under medium to high emission scenarios is likely to lead to large-scale changes in ecosystems and the carbon balance in Africa. Because lower emissions scenarios come with less uncertainty, climate change adaptation strategies likely need to be less complex or extensive if climate change is minimised. For African PAs, the challenges of climate change may be exacerbated by socio-economic factors to a regionally varying extent. This research suggests that successful ecosystem conservation depends on climate change mitigation measures and ensuring equitable, sustainable development. The shown uncertainties, e.g., in the implementation of the CO2 effect on plants or vegetation dynamics in more niche ecosystems, help to focus future research efforts and increase our understanding of the range of plausible futures we may need to adapt to.
The impact of the Covid-19 pandemic called for rapid responses in face of unprecedented challenges. In this context, earning more about the causative agent SARS-CoV-2 becomes imperative. Therefore, clinical virus isolates were studied with focus on infectivity, replication kinetic, and caspase activity.
Firstly, clinical specimens collected from patients were tested for infectivity in cell culture. Combined with polymerase chain reaction results, a formula predicting infectivity in cell culture based on abundance of viral RNA was developed. Additionally, analysis of different specimen types, sources, and material, elucidate the question of infectivity. Here, infectivity was demonstrated in specimens derived from different parts of the respiratory tract, including specimens collected from deceased persons. A protocol for virus isolation on human airway epithelium in air-liquid interface culture was established.
Secondly, replication kinetics of 20 clinical isolates were compared, including a subset of seven sequenced isolates. All isolates replicated in the colon epithelial cell culture model. Within the subset, differences between isolates carrying the D614G amino acid exchange and with original spike protein were observed.
Lastly, elevated caspase activity was demonstrated in two cell culture models including human airway epithelium in air-liquid interface culture.
Subsequently, caspase inhibition by small-molecule compound Emricasan and its effects on the cytopathic effect observed in cell culture were studied. Here, increased cell survival in a colon epithelial cell line was shown with unimpaired virus replication. Elevated caspase activity was identified as early marker of infection and validated by testing across 20 clinical virus isolates.
This study offers information on infectivity that can help shape the understanding of transmission risk. As such, parts of the data collected here were used for validation of rapid antigen tests. The insights gained by studying caspase activity contributed in part to the development of a drug screening method by Bojkova et al.,41 thus aiding routine laboratory workflow. It was demonstrated that Emricasan exhibits no antiviral effect, while the finding of increased cell survival in cell culture could give rise to further research on prevention of tissue damage.
This dissertation is about case competition in headless relatives. Case competition is a situation in which two cases are assigned but only one of them surfaces. One of the constructions in which case competition takes place is in headless relatives, i.e. relative clauses that lack a head. This dissertation has two goals: (i) to give an overview of the data, and (ii) to provide an account for the observed data.
The grammaticality of a headless relative is determined by two aspects. The first aspect concerns which case wins the case competition. In all languages with case competition that I am aware of, this is determined by the case scale in NOM < ACC < DAT. A case more to the right on the scale wins over a case more to the left on the scale. This scale is not specific to case competition in headless relatives, but it can also be observed in syncretism patterns and morphological case containment. I show that that the case scale can be derived from assuming the cumulative case decomposition (cf. Caha 2009). A case wins over another case when it contains all features that the other case contains.
The second aspect of case competition in headless relatives concerns whether the winner of the case competition is allowed to surface when it wins the case competition. The winning case can be either the internal case required by the predicate in the relative clause, or the external case required by the predicate in the main clause. It differs from language to language whether they allow the internal and the external case to surface.
All language types I discuss allow for a headless relative when the internal and the external case match. The unrestricted type of language allows both the internal case and the external case to surface when either of them wins the case competition. Examples of this language type are Old High German, Gothic and Ancient Greek. The internal-only type of language allows only the internal case to surface when it wins the case competition, and it does not allow the external case to do so. An example of this language type is Modern German. The external-only type of language allows only the external case to surface when it wins the case competition, and it does not allow the internal case to do so. To my knowledge, there is no language that behaves like this. The matching type of language allows neither the internal nor the external case to surface when either of them wins the case competition. An example of this language type is Polish.
To account for the data, I set up a proposal that generates the attested patterns and excludes the non-attested ones. I let the variation between languages follow from properties of languages that can be independently observed. By investigating the morphology of the languages, I suggest differences between the lexical entries in the different languages. These different lexical entries ultimately lead languages to be of different types. In my proposal, I assume that headless relatives are derived from light-headed relatives. Light-headed relatives contain a light head and a relative pronoun. In a headless relative either the light head or the relative pronoun is deleted. The necessary requirement for deletion is that the deleted element (either the light head or relative pronoun) is structurally or formally contained in the other element.
I motivate the analysis for the internal-only type of language for Modern German, for the matching type of language for Polish and for the unrestricted type of language for Old High German. I first identify the morphemes that the light heads and relative pronouns in the languages consist of, and then I show to which features each of the morphemes correspond. The crucial difference between the internal-only type of language Modern German and the matching type of language Polish is how the phi and case features are spelled out. In Modern German they are spelled out by a phi and case feature portmanteau, and, in Polish, the same features are spelled out by a phi feature morpheme and a case feature morpheme. Old High German differs from the other two languages in that it has light heads and relative pronouns that are syncretic. I show how these differences in the morphology of the languages ultimately leads to different grammaticality patterns in headless relatives.
Comparing my account to others shows that all proposals account for the case facts using some kind of case hierarchy. The proposals differ in how they model the variation, both in the technical details of the proposal, but more importantly, also in empirical scope and predictions they make.
Experiments on Vibrational Energy Transfer (VET) in proteins contribute to our understanding of fundamental biological processes such as allostery, dissipation of excess energy, and possibly enzymatic catalysis. While these processes have been studied for a long time, many questions remain unanswered. The aim of this work was to expand the application of existing spectroscopic techniques to investigate VET, seeking tailored solutions for the diversity of proteins and amino acid environments. Additionally, new target proteins were to be established to broaden the spectrum of VET experiments towards the role of VET and low-frequency protein modes (LFMs).
To test their suitability as VET sensors, the non-canonical amino acids (ncAAs) Azidoalanine (N3Ala), azido-L-Homoalanine (Aha), p-azido-Phenylalanine (N3Phe), p-cyano-Phenylalanine (CNPhe), and 4-cyano-Tryptophan (CNTrp) were coupled to the VET donor β-(1-azulenyl)-L-Alanine (AzAla) in dipeptides. Their spectral properties were compared using FTIR and VET spectra in H2O, dimethyl sulfoxide, and tetrahydrofuran.
The solvent strongly influences the measured VET signals, which can be explained by the direct interaction of the solvent with the dipeptides. Additionally, the peak time within the subgroups of azide and nitrile sensors increased with the size of the side chain, indicating the dependence between peak time and the distance between VET donor and sensor. When incorporated into a protein, solvent interactions are less dominant. Therefore, Aha, N3Phe, and CNPhe were additionally incorporated at two different positions in the PDZ protein domain and investigated. Due to Fermi resonances, signals from azide sensors are challenging to predict, unlike those of the nitrile sensors.
Overall, the experiments showed that nitrile groups can serve well as VET sensors, as their lower extinction coefficient is compensated for by a narrower bandwidth. This expands the number of potential target proteins, and sensor incorporation can be less disruptive at various protein locations.
Since the VET donor AzAla can inject the energy of a photon into a protein as vibrational energy at a specific location, it can also be used for the targeted excitation of LFMs. If these modes are involved in an enzymatic reaction, a direct influence on activity is expected. This hypothesis has long existed but has not been definitively verified. Some studies have found evidence for the involvement of LFMs in formate dehydrogenase (FDH) catalysis. Therefore, FDH was chosen for the investigation of LFMs in enzymes. This specific system additionally allows the use of a natural VET sensor: it forms a stable complex with NAD+ and N3-, an excellent IR marker. Thus, it provided the opportunity to test low-molecular-weight non-covalent ligands as VET sensors.
After ensuring sufficient AzAla supply through the internal establishment of an enzymatic synthesis, AzAla could be incorporated at various positions in FDH. Despite spectral overlap between free and bound N3-, the latter could be identified by its narrower FWHM. For some variants, no binding could be observed. Circular dichroism spectra showed that these variants structurally deviate slightly from other variants and the wild type (WT). VET could be observed over 22 Å from two regions of the protein to the N3- bound in the active center, at protein concentrations of below 2 mM. Unbound N3- did not generate signals, allowing it to be added in excess ensuring the saturation of the protein in VET experiments.
The activity of FDH WT and four AzAla mutants was investigated under substrate saturation without and with AzAla excitation. In these experiments, a slight reduction in activity under illumination was observed, even for the WT, who is not expected to interact with the excitation light. So far, a difference in sample temperature cannot be excluded as the cause for this decline.
The presented experiments with FDH illustrate the potential of low-molecular-weight ligands as VET sensors, with N3- being particularly attractive due to its simple structure (preventing Fermi resonances) and its high extinction coefficient. Its use can add many metalloproteins as potential targets for VET experiments and allows investigation without a VET sensor ncAA. Additionally, initial experiments were conducted to measure light-dependent FDH activity. By specifically exciting protein LFMs, this project could contribute in the future to answering longstanding questions about the extraordinary catalytic efficiency of enzymes.
The Compressed Baryonic Matter (CBM) is one of the core experiments at the future Facility for Anti-proton and Ion Research (FAIR), Darmstadt, Germany. Its goal is to investigate nuclear matter characteristics at high net-baryon densities and moderate temperatures. The Silicon Tracking System (STS) is a central detector system of CBM.
It is placed inside a 1Tm magnet and operated at a temperature of about −10 °C to keep radiation-induced bulk current in the 300μm double-sided microstrip silicon sensors low. The design of the STS aims to minimize the material budget in the detector acceptance (2.5° < θ < 25°). In order to do so, the readout electronics is placed outside the active area, and the analog signals are transported via ultra-thin micro-cables. The STS comprises eight tracking stations with 876 modules. Each module is assembled on a carbon fiber ladder, which is subsequently mounted in the C-shaped aluminum frame.
The scope of the thesis focused on developing a modular control system framework that can be implemented for different sizes of experimental setups. The developed framework was used for setups that required a remote operation, like the irradiation of the powering modules for the front-end electronics (FEE), but also in laboratory-based setups where the automation and archiving were needed (thermal cycling of the STS electronics).
The low voltage powering modules will be placed in the vicinity of the experiment, therefore they will experience a total dose of up to 40mGy over the 10 years of STS lifetime.
To estimate the effects of the radiation on the low-voltage module performance, a dedicated irradiation campaign took place. It aimed at estimating the rate of radiation induced soft errors, that lead to the switch off of the FEE.
Regular power cycles of multiple front-end boards (FEBs) pose a risk to the experiment operation. Firstly, such behavior could negatively influence the physics performance but also have deteriorating effects on the hardware. It was further assessed what are the limitations of the FEBs with respect to the thermal cycling and the mechanical stress. The results served as an indication of possible failure modes of the FEB at the end of STS lifetime. Failure modes after repeated cycles and potential reasons were determined (e.g., Coefficient of Thermal Expansion (CTE) difference between the materials).
Due to the conditions inside the STS efficient temperature and humidity monitoring and control are required to avoid icing or water condensation on the electronics or silicon sensors. The most important properties of a suitable sensor candidate are resilience to the magnetic field, ionizing radiation tolerance, and fairly small size.
A general strategy for ambient parameters monitoring inside the STS was developed, and potential sensor candidates were chosen. To characterize the chosen relative humidity sensors the developed control framework was introduced. A sampling system with a ceramic sensor and Fiber Optic Sensors (FOS) were identified as reliable solutions for the distributed sensing system. Additionally, the industrial capacitive sensors will be used as a reference during the commissioning.
Two different designs of FOS were tested: a hygrometer and 5 sensors multiplexed in an array. The FOS hygrometer turned out to be a more reliable solution. One of the possible reasons for a worse performance is a relatively low distance between the subsequent sensors (15 cm) and a thicker coating. The results obtained from the time response study pointed out that the thinner coating of about 15μm should be a good compromise between the humidity sensitivity and the time response.
The implementation of the containerized-based control system framework for the mSTS is described in detail. The deployed EPICS-based framework proved to be a reliable solution and ensured the safety of the detector for almost 1.5 years. Moreover, the data related to the performance of the detector modules were analyzed and significant progress in the quality of modules was noted. Obtained data was also used to estimate the total fluence, which was based on the leakage current changes.
The developed framework provided a unique opportunity to automate and control different experimental setups which provided crucial data for the STS. Furthermore, the work underlines the importance of such a system and outlines the next steps toward the realization of a reliable Detector Control System for STS.
With the rise of digitalization and ubiquity of media use, both opportunities and challenges emerge for academic learning. One prevalent challenge is media multitasking, which can become distracting and hinder learning success. This thesis investigates two facets of this issue: the enhancement of data tracking, and the exploration of digital interventions that support self-control.
The first paper focuses on digital tracking of media use, as a comprehensive understanding of digital distractions requires careful data collection to avoid misinterpretations. The paper presents a tracking system where media use is linked to learning activities. An annotation dashboard enabled the enrichment of the log data with self-reports. The efficacy of this system was evaluated in a 14-day online course taken by 177 students, with results confirming the initial assumptions about media tracking.
The second paper tackles the recognition of whether a text was thoroughly read, an issue brought on by the tendency of students to skip lengthy and demanding texts. A method utilizing scroll data and time series classification algorithms is presented and tested, showing promising results for early recognition and intervention.
The third paper presents the results of a systematic literature review on the effectiveness of digital self-control tools in academic learning. The paper identifies gaps in existing research and outlines a roadmap for further research on self-control tools.
The fourth paper shares findings from a survey of 273 students, exploring the practical use and perceived helpfulness of DSCTs. The study highlights the challenge of balancing between too restrictive and too lenient DSCTs, particularly for platforms offering both learning content and entertainment. The results also show a special role of media use that is highly habitual.
The fifth paper of this work investigates facets of app-based habit building. In a study over 27 days, 106 school-aged children used the specially developed PROMPT-app. The children carried out one of three digital activities each day, each of which was supposed to promote a deeper or more superficial processing of plans. Significant differences regarding the processing of plans emerged between the three activities, and the results suggest that a child-friendly planning application needs to be personalized to be effective.
Overall, this work offers a comprehensive insight into the complexity and potentials of dealing with distracting media usage and shows ways for future research and interventions in this fascinating and ever more important field.
Global analysis of halogenated trace gases in the UTLS: from long-lived to short-lived substances
(2023)
In this dissertation, the distribution of chlorinated and brominated substances in the upper troposphere and lower stratosphere is investigated. These substances contribute significantly to the catalytic decomposition of ozone and are involved in the recurrent formation of the polar ozone hole in the Antarctic winter and spring. The Montreal Protocol, a multilateral environmental treaty to protect the ozone layer, has successfully reduced emissions of long-lived chlorine- and bromine-containing substances. Short-lived chlorinated and brominated substances, some of which are natural and anthropogenic in origin, are not regulated by the Montreal Protocol and it can be assumed that their relative contribution to the stratospheric halogen budget will increase, while the contribution of long-lived compounds will steadily decrease. The distribution of long- and short-lived halogenated substances are part of current research. For the upper troposphere and lower stratosphere, the very short-lived substances are particularly important. The lower stratosphere needs special investigation in this respect, since its composition is influenced by different transport processes. The influences on ozone trends in the lower stratosphere are subject to great uncertainties. Especially in the Southern Hemisphere, the number of observations is very limited.
In this work, the GhOST (Gas chromatograph for Observational Studies using Tracers) instrument was used during the SouthTRAC measurement campaign on the German HALO (High Altitude and LOng range) research aircraft, providing observations of halogenated hydrocarbons in Antarctic late winter to early spring 2019, a generally poorly sampled region. The polar vortex was, compared to previous years, significantly weaker and shifted towards the eastern South Pacific and South America. From the airborne measurements of chlorinated source gases, inorganic chlorine (the sum of active chlorine and reservoir gases; Cly) could be inferred with the result that Cly within the vortex increased up to 1687 ± 19 ppt at 385 K potential temperature, accounting for about 50 % of the total chlorine within the vortex and only 15 % of the total chlorine in the southern mid-latitudes. A comparison with the Northern Hemisphere could be made using the PGS measurement campaign in the Arctic winter 2015/2016. Under comparable conditions (season and distance from the tropopause), only 40 % of the total chlorine was in the inorganic form within the Arctic polar vortex and about 20 % was found in the mid-latitudes of the Northern Hemisphere. In addition, about 540 ppt more Cly was present in the Antarctic vortex than in the Arctic vortex, exceeding the annual variations previously reported for Antarctica.
The mean age of air plays an essential role in the derivation of Cly via the organic source gases, as was done in this work. A new method for determining the mean age of air from observational data has been introduced that accounts for extra-tropical input to the stratosphere in addition to tropical input. This new method was compared with the previously used method, which considered only the tropical input. The new method shows more realistic values especially near the tropopause. On average, the air of the lower stratosphere in the Northern Hemisphere was older than in the Southern Hemisphere by about 0.5 ± 0.3 years. About 65 K above the tropopause, the pattern changed with older air in the mid-latitudes of the Northern Hemisphere, but older air in high latitudes of the Southern Hemisphere, which implies differences in the strength and isolation of the respective polar vortex as well as the wave forcing in the shallow branch of the Brewer-Dobson circulation of the respective hemisphere. This is in good agreement with the distribution of Cly. The difference in the lower stratosphere was not clearly evident with the old method and it can be assumed that investigations of the differences in Cly of Northern and Southern Hemisphere will benefit from the new method.
Finally, the global and seasonal distribution of the two most important representatives of the short-lived brominated substances, CH2Br2 and CHBr3, was investigated. For this purpose, two additional HALO measurement campaigns have been used, the 2012 TACTS measurement campaign and the 2017 WISE measurement campaign, as well as the HIAPER Pole-to-Pole Observations (HIPPO) and Atmospheric Tomography (ATom) measurement campaigns. Observations of CH2Br2 show a pronounced seasonality in the free and upper troposphere of both hemispheres with slightly larger values in the Northern Hemisphere. CHBr3, on the other hand, shows a generally higher variability and lower seasonality with larger mixing ratios at mid and high latitudes in the northern hemispheric winter and autumn. A comparison of the lower stratosphere is limited to autumn and spring of both hemispheres due to the limited data basis of the observations. The distributions in each spring are similar (less than 0.1 ppt differences for e.g., CH2Br2). In hemispheric autumn, larger differences are evident with substantially smaller mixing ratios in the southern hemispheric lower stratosphere. This suggests that the transport processes of the two hemispheres may be different and implies that the input of tropospheric air (flushing) to the Northern Hemisphere lowest stratosphere is more efficient than in the Southern Hemisphere. Vertical profiles of CH2Br2 and CHBr3 in the mid-latitudes of both hemispheres and resulting vertical gradients support this conjecture. However, the Southern Hemisphere data set is insufficient to quantify this difference and further measurements are needed.
Cytochrome P450 enzymes are a large superfamily of membrane-bound heme-containing monooxygenases. They are essential for the oxidative metabolism of endogenous substrates such as steroids and fatty acids, and biotransformation of xenobiotic substrates such as pollutants and drugs. Although the highest expression of CYPs is found in the liver, their cardiovascular expression is not negligible with CYP450 subfamilies being responsible for the production of vasoactive lipids. Of importance, the enzymatic activity of all microsomal CYP450 isoenzymes is dependent on the cytochrome P450 reductase (POR), an electron donor.
In the first part of this work, the role of cytochrome P450 monooxygenases on the biotransformation of organic nitrates was investigated. Recombinant SupersomesTM were selected and incubated with NTG and PETN, where nitrite release was measured as a nitric oxide (NO) footprint. The capacity of the recombinant POR/CYP450 system to release nitrite from NO prodrugs was shown to be CYP-specific and dose-dependent. To study the involvement of CYP450 enzymes in the vascular biotransformation of organic nitrates in vivo, a smooth muscle-cell specific, inducible knockout model of POR (smcPOR-/-) was generated. Organ chamber experiments revealed that the vascular POR/CYP450 system had no impact on the dilator response of NTG and PETN. In line with previous publications, inhibition of ALDH2, known as the main enzyme responsible for the activation of NTG and PETN, and/or abolishment of the endogenous NO production did not reveal a contribution of the POR/CYP450 system to the dilator response of NTG and PETN. To better understand these results, we looked at the expression of the hepatic and vascular expression of the POR/CYP450 system where the hepatic was increased by 10- to 40-fold as shown by Western blot analysis. We concluded that due to insufficient vascular expression of CYP450 enzymes their contribution to the bioactivation of NTG and PETN is only minor.
The second part of this work focused on the cardiac relevance of endothelial isoenzymes. For that purpose, an endothelial cell-specific, tamoxifen-inducible knockout model of POR was generated and characterized in the present study. RNA-sequencing of the heart of healthy mice revealed that the CYP450 expression is cell-specific with cardiac endothelial cells (ECs) exhibiting an enrichment in the expression of the Cyp4 family (ω-oxidation of fatty acids) and of the Cyp2 family (production of EETs). Under non-stredded conditions (i.e. 30 days after inducing the knockout by tamoxifen feeding), endothelial deletion of POR was associated with cardiac remodelling as observed by an increase in the ratio of heart weight to body weight and an increase in the cardiomyocyte area. RNA-sequencing of cardiac ECs suggested that loss of POR might alter ribosomal biogenesis and protein synthesis, which could potentially affect the cardiac contractility in ecPOR-/- mice. Metabolomics from cardiac tissue of CTL and ecPOR-/- mice were not indicative for an important metabolic function of the endothelial POR/CYP450 system in the heart. The combination of transverse aortic constriction (TAC) with endothelial deletion of POR accelerates the development of heart failure in mice as detected by a reduction in cardiac output and stroke volume. These effects were mediated most likely by a reduction in vascular EETs production, which increases vascular stiffness, resulting in cardiac remodeling.
Proteins are biological macromolecules playing essential roles in all living organisms.
Proteins often bind with each other forming complexes to fulfill their function. Such protein complexes assemble along an ordered pathway. An assembled protein complex can often be divided into structural and functional modules. Knowing the order of assembly and the modules of a protein complex is important to understand biological processes and treat diseases related to misassembly.
Typical structures of the Protein Data Bank (PDB) contain two to three subunits and a few thousand atoms. Recent developments have led to large protein complexes being resolved. The increasing number and size of the protein complexes demand for computational assistance for the visualization and analysis. One such large protein complex is respiratory complex I accounting for 45 subunits in Homo sapiens.
Complex I is a well understood protein complex that served as case study to validate our methods.
Our aim was to analyze time-resolved Molecular Dynamics (MD) simulation data, identify modules of a protein complex and generate hypotheses for the assembly pathway of a protein complex. For that purpose, we abstracted the topology of protein complexes to Complex Graphs of the Protein Topology Graph Library (PTGL). The subunits are represented as vertices, and spatial contacts as edges. The edges are weighted with the number of contacts based on a distance threshold. This allowed us to apply graph-theoretic methods to visualize and analyze protein complexes.
We extended the implementations of two methods to achieve a computation of Complex Graphs in feasible runtimes. The first method skipped checks for contacts using the information which residues are sequential neighbors. We extended the method to protein complexes and structures containing ligands. The second method introduced spheres encompassing all atoms of a subunit and skipped the check for contacts if the corresponding spheres do not overlap. Both methods combined allowed skipping up to 93 % of the checks for contacts for sample complexes of 40 subunits compared to up to 10 % of the previous implementation. We showed that the runtime of the combined method scaled linearly with the number of atoms compared to a non-linear scaling of the previous implementation We implemented a third method fixing the assignment of an orientation to secondary structure elements. We placed a three-dimensional vector in each secondary structure element and computed the angle between secondary structure elements to assign an orientation. This method sped up the runtime especially for large structures, such as the capsid of human immunodeficiency virus, for which the runtime decreased from 43 to less than 9 hours.
The feasible runtimes allowed us to investigate two data sets of MD trajectories of respiratory complex I of Thermus thermophilus that we received. The data sets differ only by whether ubiquinone is bound to the complex. We implemented a pipeline, PTGLdynamics, to compute the contacts and Complex Graphs for all time steps of the trajectories. We investigated different methods to track changes of contacts during the simulation and created a heat map put onto the three-dimensional structure visualizing the changes. We also created line plots to visualize the changes of contacts over the course of the simulation. Both visualizations helped spotting outstandingly flexible or rigid regions of the structure or time points of the simulation in which major dynamics occur.
We introduced normalizations of the edge weights of Complex Graphs for identi-fying modules and predicting the assembly pathway. The idea is to normalize the number of contacts for the number of residues of a subunit. We defined five different normalizations.
To identify structural and functional modules, we applied the Leiden graph clustering algorithm to the Complex Graphs of respiratory complex I and the respiratory supercomplex. We examined the results for the different normalizations of the weights of the Complex Graphs. The absolute edge weight produced the best result identifying three of four modules that have been defined in the literature for respiratory complex I.
We applied agglomerative hierarchical clustering to the edges of a Complex Graph to create hypotheses of the assembly pathway. The rationale was that subunits with an extensive interface in the final structure assemble early. We tested our method against two existing methods on a data set of 21 proteins with reported assembly pathways. Our prediction outperformed the other methods and ran in feasible runtimes of a few minutes at most.
We also tested our method on respiratory complex I, the respiratory supercomplex and the respiratory megacomplex. We compared the results for the different normalizations with an assembly pathway of respiratory complex I described in the literature. We transformed the assembly pathways to dendrograms and compared the predictions to the reference using the Robinson-Foulds distance and clustering information distance. We analyzed the landscape of the clustering information distance by generating random dendrograms and showed that our result is far better than expected at random. We showed in a detailed analysis that the assembly prediction using one normalization was able to capture key features of the assembly pathway that has been proposed in the literature.
In conclusion, we presented different applications of graph theory to automatically analyze the topology of protein complexes. Our programs run in feasible runtimes even for large complexes. We showed that graph-theoretic modeling of the protein structure can be used to analyze MD simulation data, identify modules of protein complexes and predict assembly pathways.
Die Kernspinresonanz(NMR)-Spektroskopie ist ein leistungsstarkes analytisches Werkzeug. Allerdings ist ihre Empfindlichkeit aufgrund geringer Wechselwirkungs-energie zwischen den Kernspins und dem externen Magnetfeld begrenzt. Die dynamische Kernpolarisation (DNP) erhöht DNP die Empfindlichkeit der NMR, indem sie die Polarisation von ungepaarten Elektronenspins auf die benachbarten Kernspins überträgt. In den letzten Jahrzehnten hat die DNP bei hohen Magnetfeldern erneut an Aufmerksamkeit gewonnen, bedingt durch die Verfügbarkeit leistungsstarker Gyrotron-Mikrowellen(mw)-Quellen. Jedoch wurde die Anwendung von DNP für Flüssigkeiten im Vergleich zu Festkörperproben bei niedrigen Temperaturen (≈100 K) weit weniger erforscht. Zwei Gründe können dafür hauptsächlich benennt werden. Bei hohen Magnetfeldern (entsprechend hohen mw-Frequenzen) wird die mw-Strahlung sehr stark von Flüssigkeiten absorbiert, was zu einer starken Erwärmung führt. Darüber hinaus sind die Translations- und Rotationsdynamik der Radikale und Target-Molekülen nicht schnell genug, um Spectraldichten bei den hohen mw-Frequenzen zu erzeugen, die für eine Overhauser-Effekt (OE) DNP Verstärkung benötigt werden. In dieser Arbeit wird gezeigt, Flüssigzustands-DNP bei hohen Magnetfeldern, insbesondere bei 9,4 T, mit hocheffizienten DNP-Probenköpfen möglich ist.
Der von skalaren Hyperfein-Wechselwirkung (hfWW) angetriebene OE ist für Flüssigzustands-DNP-Forschungen von besonderem Interesse, da der von der Theorie vorhergesagte Mechanismus auch bei hohen Magnetfeldern noch effizient ist. In der vorliegenden Arbeit wurde eine Methode zur Vorabprüfung potenzieller DNP-Kandidaten durch Messungen ihrer paramagnetischen NMR-Verschiebungen vorgeschlagen und untersucht. Wir beobachtete signifikante 13C-skalare OE DNP-Verstärkungen bis zu 50 bei den ausgewählten kleinen Biomolekülen, einschließlich Imidazol, Indol, verschiedene Aminosäuren und Kohlenhydraten. Das Lösungssystem wurde auch von organischen Lösungsmitteln auf Wasser erweitert.
Im Kontext von dipolarer OE DNP haben wir den Beitrag der Rotation des Radikals neben der Translationsbewegung zwischen Radikal und Target-Molekül zur OE DNP-Effizienz systematisch untersucht, indem wir verschiedene Nitroxidderivate mit unterschiedlichen Ringgeometrien und Substituenten verwendet haben. Mithilfe eines Models, das eine 'out-sphere' Translationsbewegung und eine 'inner-sphere' Rotationsbewegung des Radikal-Lösungsmittel-Komplexes enthält, konnte unsere Beobachtungen quantitativ simuliert werden. Außerdem wurde ein anderes Model untersucht, das eine Translationsbewegung mit der Rotation von Radikalen, bei denen das ungepaarte Elektron nicht im Zentrum sitzt, kombiniert.
Eine weitere neue Entdeckung in der DNP bei hohen Magnetfeldern waren der beobachtete SE (Solid-Effekt) an Lipidmolekülen mit BDPA-Radikal oberhalb der Lipidphasen-übergangstemperatur. Die neue Anwendung von SE DNP bietet einen alternativen Mechanismus zur OE DNP in Flüssigkeiten bei hohen Magnetfeldern und könnte möglicherweise auf Makromoleküle mit relativ langsamer Rotationsbewegung angewendet werden.
Wir haben zusätzliche Untersuchungen an den Lipiddoppelschichten mit Nitroxid-radikale durchgeführt, basierend auf dem beobachteten 1H DNP-Verstärkungen in einer viskosen Lipidumgebung bei 9,4 T . Durch Messung des Feldprofils wurden DNP-Verstärkungen durch OE und SE in Abhängigkeit ihrer relativen Verschiebungen von der Elektronen-Larmor-Frequenz bestimmt. Die individuelle OE DNP-Effizienzen für Protonen des Wassers, der Lipid-Cholin-Kopfgruppen oder der Lipid-Acylketten wurde bestimmt. Dadurch wird ein quantitativer Vergleich mit MD-Simulationen ermöglicht. Obwohl die von der MD-Simulationen vorhergesagten DNP Kopplungsfaktoren noch deutliche Abweichungen von den experimentellen Beobachtungen aufweisen, wird die schnelle Dynamik nahe der Elektronen-Larmor-Frequenz, die für einen erfolgreichen OE DNP Transfer erforderlich ist, von den MD-Simulationen gut erfasst.
In der Arbeit wurden auch zwei unterschiedliche Dreifachresonanz-DNP-Experimente durchgeführt. Zum einen wurde 13C OE DNP unter 1H-Entkopplung in wässriger Natriumpyruvatlösung, und zum anderen 13C-NMR von Glycin, verstärkt durch SE DNP an 1H zusammen mit einem 1H-13C INEPT-Polarisationstransfer, im Rahmen dieser Doktorarbeit durchgeführt.
In this thesis, we use lattice QCD to study a part of the QCD phase diagram, specifically the QCD phase transition at mu=0, where the QCD matter changes from hadron gas to quark-gluon plasma (QGP) with increasing temperature.
This phase transition takes place as a crossover, but when theoretically changing the masses of the quarks, the order of the phase transition changes as well.
We focus on the region of heavy quark masses with Nf=2 flavours, where we investigate the critical quark mass at the second order phase transition in the form of a Z2 point between the first-order and the crossover region.
The first-order region is positioned at infinitely heavy quarks. As the quark masses decrease, the associated Z3 centre symmetry breaks explicitly, causing the first-order phase transition to weaken until it turns into the Z2 point and finally into a crossover.
We study this Z2 point using simulations at Nf=2 and lattices of the sizes Nt = {6, 8, 10, 12}, partially building on previous work, in which the simulations for Nt = {6, 8, 10} were started.
The simulations for Nt=12 are not finished yet though, but we were able to draw some preliminary conclusions. These simulations are run on GPUs and CPUs, using the codes Cl2QCD and open-QCD-FASTSUM, respectively. Afterwards, the data goes through a first analysis step in the form of the Python program PLASMA, preparing it for the two techniques we use to analyse the nature of the phase transition.
As a first, reliable analysis method, we perform a finite size scaling analysis of the data to find the location of the Z2 point. Since we are using lattice QCD, performing a continuum extrapolation is necessary to reach the continuum result.
In regard to this, the finite size scaling analysis method is hampered by the excessive amount of simulated data that is needed regarding statistics and the total number of simulations, which is why this thesis is only an intermediate step towards the continuum limit.
This also leads to the second analysis technique we explore in this thesis.
We start to design a Landau theory which describes the phase boundary for heavy masses at Nf=2 based on the simulated data.
We develop a Landau functional for every Nt we have simulation data for.
Albeit the results are not at the same precision as the ones from the finite size scaling analysis, we are able to reproduce the position of the Z2 point for every Nt.
Even though we are not able to take a continuum extrapolation right now, after more development takes place in future works, this approach might, in the long run, lead to a continuum result that won't need as many simulations as the finite size scaling analysis.
Im Rahmen dieser Arbeit wurde ein verbessertes Buncher-System für Hochfrequenzbeschleuniger mit niedrigem und mittlerem Ionenstrom entwickelt. Die entwickelte Methodik hat ermöglicht, ein effektives, vereinfachtes Buncher-System für die Injektion in HF-Beschleuniger wie RFQs, Zyklotrons, DTLs usw. zu entwerfen, welches kleine Ausgangsemittanzen und beträchtliche Strahltransmissionen erzielt. Um einen mono-energetischen und kontinuierlichen Strahl aus einer Ionenquelle für den Einschuss in eine Hochfrequenz-Beschleunigerstruktur anzupassen, wird eine Energiemodulation benötigt, die im weiteren Verlauf (Driftstrecke) zur Längsfokussierung des Strahls führt. Durch eine Sägezahnwellenform wird die ideale Energiemodulation aufgrund der linearen Abhängigkeit zwischen der Energie der Teilchen und ihren relativen Phasen erreicht. Dies ist jedoch technologisch nicht möglich, da Teilchenbeschleuniger Spannungsniveaus im Bereich kV bis 100 kV benötigen. Dagegen ist für eine solche Zielsetzung eine räumliche Trennung der sinusförmigen Anregung mit der Grundfrequenz und höheren Harmonischen möglich.
Daher wurde in dieser Arbeit ein verbesserter harmonischer Buncher, der sogenannte „Double Drift Harmonic Buncher - DDHB“ entwickelt, welcher zahlreiche Vorteile hat. Eine geringe longitudinale Emittanz sowie finanzielle Aspekte sprechen für diesen Lösungsansatz. Die Hauptelemente eines DDHB Systems sind zwei Kavitäten, die durch eine Driftlänge L1 getrennt sind, wobei der erste Resonator mit der Grundfrequenz bei -90° synchroner Phase und angelegter Spannung V1 und der zweite Resonator bei der zweiten harmonischen Frequenz mit +90 synchroner Phase und angelegter Spannung V2 betrieben werden. Schließlich ist eine zweite Drift L2 am Ende des Arrays für eine longitudinale Strahlfokussierung am Hauptbeschleunigereingang erforderlich. Somit erfüllt ein solcher Aufbau das angestrebte Ziel einer hohen Einfangseffizienz und einer kleinen longitudinalen Emittanz durch Anpassen der vier Designparameter V1, L1, V2 und L2.
Das Verständnis der Fokussierung, ausgehend von einem Gleichstromstrahl, einschließlich der Raumladungskräfte, ist einer der wesentlichen Bestandteile der Strahlphysik. Viele kommerzielle Codes bieten Simulationsmöglichkeiten in diesem Anwendungsbereich. Ihre Ansätze bleiben jedoch dem Anwender meist verborgen, oder es fehlen wichtige Details zur genauen Abbildung des vorliegenden Konzepts. Daher bestand eine Hauptaufgabe dieser Arbeit darin, einen speziellen Multi-Particle-Tracking-Beam-Dynamics-Code (BCDC) zu entwickeln, bei dem der Raumladungseffekt während des Bunch-Vorgangs, ausgehend von einem DC-Strahl berechnet wird. Der BCDC - Code enthält elementare Routinen wie Drift und Beschleunigungsspalt oder magnetische Linse für die transversale Strahlfokussierung und Raumladungsberechnungen unter Berücksichtigung der Auswirkungen der nächsten Nachbar-Bunche (NNB). Der Raumladungsalgorithmus in BCDC basiert auf einer direkten Coulomb- Gitter-Gitter-Wechselwirkung und Berechnungen des elektrischen Feldes durch Lokalisierung der Ladungsdichte auf einem kartesischen Gitter. Um Genauigkeit zu erreichen, werden die Feldberechnungen in Längsrichtung symmetrisch um das zentrale Bucket (βλ-Größe) erweitert, so dass das Simulationsfeld dreimal so groß ist. Die zentrale Teilchenverteilung wird dann nach jedem Schritt in die benachbarten Buckets kopiert. Anschließend werden die resultierenden Felder im Hauptgitterfeld neu berechnet, indem die elektrischen Felder im Hauptgitterfeld mit denen aus den benachbarten Regionen überlagert werden. Ohne diese Methode würde z. B. ein kontinuierlicher Strahl, welcher jedoch in der Simulation nur innerhalb einer Zelle der Länge βλ definiert ist, zu einer resultierenden Raumladungsfeldkomponente Ez an beiden Rändern der Zelle führen. Ein solches unphysikalisches Ergebnis konnte durch die Anwendung der NNB-Technik bereits weitgehend eliminiert werden. Zusätzlich zum NNB-Feature verfügt das BCDC über eine weitere Besonderheit nämlich die sogenannte Raumladungskompensation (SCC). Aufgrund der Ionisierung des Restgases kommt es entlang des Niederenergiestrahltransports zu einer teilweisen Raumladungskompensation, und zwar am und hinter dem Bunchersystem mit unterschiedlichen Prozentsätzen. Eines der Hauptziele des DDHB-Konzepts besteht darin, es für Hochstromstrahlanwendungen zu entwickeln. Dabei ermöglicht die teilweise Raumladungskompensation, dass das Design in der Praxis höhere Stromniveaus erreicht. Dadurch ist das BCDC-Programm ein leistungsstarkes Werkzeug für Simulationen in künftigen, stromstarken Projekten. Proof-of-Principle-Designs wurden in dieser Arbeit entwickelt.
This work addresses the investigation of the biosynthesis mechanisms of type II polyketide synthase (PKS) and fatty acid synthase (FAS) derived specialized metabolites (SMs) from Photorhabdus laumondii.
The elucidation of the biosynthetic pathway of the bacterial 3,5-dihydroxy-4-isopropyl-trans-stilbene (IPS) was one of the major topics of this thesis. IPS exhibits several bioactive characteristics as it inhibits the phenoloxidase of insects, acts antibacterial, but also influences the soluble epoxide hydrolase which is involved in inflammatory reactions. It was recently approved as a treatment against psoriasis by the FDA and is the first Photorhabdus derived drug.
The stilbene generation in Photorhabdus requires the formation of the two acyl-carrier-protein (ACP) bound 5-phenyl-2,4-pentadienoyl- and isovaleryl-β-ketoacyl-moieties. The ketosynthase (KS)/cyclase StlD catalyzes a ring formation via a Michael-addition between the two intermediates which is then further processed by an aromatase. The formation of 5-phenyl-2,4-pentadienoyl-ACP was shown via in vitro assays with purified proteins by proving the influence of the KS FabH, ketoreductase FabG and dehydratase FabA or FabZ of the fatty acid metabolism. While E. coli was able to complement most of these enzymes in attempts to produce IPS in the heterologous host, the Photorhabdus derived FabH was not replaceable despite 73 % sequence identity with the E. coli based isoenzyme, acting as a gatekeeper enzyme for cinnamic acid (CA) moieties. Furthermore, the ability to incorporate meta-substituted halogenated CA-derivatives was shown in order to produce 3-chloro- and 3-bromo-IPS. While studying the stilbene biosynthesis, the ability of Photorhabdus and Xenorhabdus to produce hydrazines was also discovered.
The second investigated biosynthesis was the formation of benzylideneacetone (BZA). BZA is produced by Photorhabdus and Xenorhabdus strains acting as a suppressor for the immune cascade of insects and has also antibiotic activities towards Gram-negative bacteria. Due to its structural similarity towards CA and the intermediates during the stilbene formation, a shared mechanism for Photorhabdus and Xenorhabdus budapestensis was proposed due to their ability to produce CA. The production of BZA was also dependent on the stilbene related CoA-ligase, the ACP and FabH. It was verified in vitro and in vivo in E. coli yielding a 150-fold increase of the BZA production compared to the Photorhabdus and Xenorhabdus wildtype (WT) strains.
The second part of this work deals with the optimization of P. laumondii strains regarding the production titers of IPS. Therefore, several deletions of other SM related genes as well as promoter exchanges in front of stilbene related genes were carried out. These approaches were combined with the upregulation of the phenylalanine by heterologous plasmid expression, since it is the precursor of CA. Another approach applied in parallel was the optimization of the cultivation conditions with different media and supplementation with XAD-resins. It was proved that media rich on fatty acids or peptides led to higher optical densities of the cultures and thus to higher titers of stilbenes. Since IPS is inhibiting the phenoloxidase, an enzyme important for the insect immunity, it was hypothesized that cultivation in media containing insects might enhance the output of this SM. Starting from 23 mg/l of IPS in the P. laumondii WT strain, it was possible to increase the production levels to more than 860 mg/l by utilizing the mentioned approaches.
The last topic of this thesis focuses on the production of epoxidated IPS (EPS) and its derivatives. Under laboratory conditions, only a low titer of EPS was observed for the wildtype strain. However, the optimized IPS strains and IPS-production conditions could also be applied for EPS which led to higher productions and also to the detection of many new derivatives. Most of the EPS derivatives were amino acid or peptide derived acting as nucleophiles to open the epoxide ring and yielding β-amino-alcohols. However, purification and chemical synthesis attempts to obtain EPS failed due to its poor stability. Epoxides were utilized in in vitro assays with amino acids, peptides and proteins to get insights whether epoxidations might act as posttranslational modification in Photorhabdus. The reactions were performed with styrene oxide and stilbene oxide replacing EPS based on their structural similarity. The modifications were executed successfully although proteomics approaches with in vivo data are required to confirm these findings. During the purification attempts of EPS, further derivatives were detected. The structures of dimerized stilbenes, a cis-isomer of IPS and another derivative that might incorporate an amino-group in the resveratrol ring were proposed on the basis of the HPLC-MS data.
Anthropogenic interventions have altered all ecosystems around the world. One of those ecosystems are forests, the main resource for timber. They have been strongly transformed in their structure with large consequences on forest biodiversity. Especially the decrease in dead-wood volume due to the timber extraction and alternation of natural forest structures with even-aged stands of less diverse tree species composition has put especially saproxylic, i.e., dead-wood dependent species, under threat, which comprise about 20% of all forest species. Beetles, fungi and bacteria are three functional important groups for decomposition processes but we still lack much information about their sampling and the drivers of their diversity, thus it is difficult to comprehensively protect their diversity. Saproxylic fungi are a highly diverse species group and the main drivers of dead-wood decomposition; hence they play a major role in the global carbon cycle. Due to their cryptic lifestyle, many species are still unknown, but the recent advances in environmental DNA barcoding methods (metabarcoding) shed light on the formerly underestimated diversity. Yet, this method's accuracy and suitability in detecting specific species have not been assessed so far, limiting its current usefulness for species conservation. On the other hand, these methods are a convenient tool to study highly diverse areas with high numbers of unknown species, enabling the study of global diversity and its drivers, which are unknown for saproxylic fungi, but important to assess to predict the future impacts of global change. Since nature conservation concepts are usually not applied on a global scale, the drivers of diversity must also be assessed on smaller scales. Besides understanding the drivers of diversity, to identify focus scales to create comprehensive, evidence-based conservation concepts must utilize multi-taxonomic studies since saproxylic species are differently sensitive towards environmental variables and closely interact with each other. Filling these knowledge gaps is utterly needed to protect the high saproxylic diversity and ensure the functional continuity of decomposition processes, especially regarding the global change.
To address the usefulness of metabarcoding for fungal species conservation, I compared the traditional method of fruit body sampling with metabarcoding and their efficiency in detecting threatened fungal species in the first chapter of this thesis. Both methods have advantages and disadvantages. Their ability to detect threatened saproxylic fungal species and their dependencies on detecting specific fungal groups have not been compared, albeit they are important to inform species conservation like Red Lists properly. I found metabarcoding to generally detect more threatened fungal species than fruit body sampling with a higher frequency than fruit body sampling. Moreover, fruit body sampling detected a unique set of species, while fruit body sampling missed large parts of fungal diversity due to species-specific fruiting characteristics. Metabarcoding with high sampling intensity is thus a viable method to assess threatened saproxylic fungal diversity and inform nature conservation like Red Lists about distribution and abundances. Nevertheless, a complementary approach with fruit body sampling is indispensable for assessing all threatened fungal species.
In order to analyse the global diversity of saproxylic fungi and its drivers, I examined whether fungal species richness increases from the poles towards the equator and thus follows the latitudinal diversity gradient already found in many other species groups. I further investigated whether such an increase is caused by increasing ecological specialisation, i.e., niche partitioning, or local tree diversity, i.e., niche space. Gamma diversity per biome increased from the boreal, over the temperate to the tropics and thus confirmed the latitudinal diversity for saproxylic fungi. Contrastingly, alpha diversity at the log level did not significantly increase towards the tropics, suggesting a grain size dependency of the observed pattern and an equal niche space within dead-wood across latitudes. Ecological specialisation on the plot level was globally on a high level but did not increase significantly towards the equator. Additionally, I found local tree species richness to drive plot-based fungal diversity. Further analysis of gamma diversity against the total number of sampled tree species strengthened the assumption that tree species diversity and not increased ecological specialisation was the main driver of the latitudinal diversity gradient, as there was no significant difference between the gamma diversity of the temperate and tropical biome. Nonetheless, as the gamma diversity of the boreal biome was still significantly smaller, my results do not allow a complete neglection of the ecological specialisation hypothesis. The overall results indicate a strong dependency of saproxylic fungi diversity with host tree species diversity and that the global loss of tree species threatens saproxylic fungi with an unpredictable impact on carbon and nutrient cycling.
To support saproxylic conservation, I conducted two analyses. First, I compared the beta diversity of the three main decomposer groups (beetles, fungal fruit bodies, mycelial fungi (metabarcoding), and bacteria (metabarcoding)) across different scales to assess the impact of different environmental variables on their overall diversity. I used an experimental design to disentangle two different spatial scales, influenced by differences in macroclimate, forest microclimate and spatial distance, and two host scales, driven by differences between tree lineages and tree species. I set these beta diversities in relation to the gamma diversity of the three main decomposer groups to identify whether a unified conservation concept could be applied to one scale to optimally protect the diversity of all three species groups. Second, I identified whether diversity and community composition of fungi and bacteria differed among climate and land use gradients. Further I explored whether specialisation and niche packing could explain the expected pattern. To do so I used an experimental design disentangling climate and land use across a large gradient in Germany. The results differed among the species groups, denying a unified conservation concept focusing on one scale. Saproxylic beetle and fruit body beta diversity was equally high on each scale, as they are more sensitive towards environmental factors like macro- and microclimate. On the other hand, mycelial fungi and bacteria beta diversity was highest on the host scale, especially the host tree scale, indicating a high host specificity of the two groups. The second study also identified tree species as the main driver of diversity and community composition of these two study groups. Specialisation of fungi was not influenced by land use or climate. Bacterial specialisation and diversity were under a strong influence of mean precipitation. Comprehensive conservation of multi-taxonomic diversity across regions thus requires the integration of several scales. Within different macroclimatic regions, forests of varying microclimates, i.e., forest management, must be implemented. In these forests, dead-wood of different tree lineages, i.e., angio- and gymnosperms and tree species, must be provided.
Taken together, I could demonstrate that metabarcoding is an efficient method to sample threatened fungal species and identify differing drivers of fungal diversity present as fruit bodies or mycelium. Its usefulness will further increase due to the ongoing improvement of sequencing databases and thus better inform conservation concepts. Using metabarcoding, I could demonstrate that high host specialisation of saproxylic fungi is not a European but a global phenomenon and identify tree species loss under global change as one major concern for saproxylic diversity. My dissertation further highlighted the importance of multi-taxonomic studies for evidence-based nature conservation, as different species groups require varying concepts. These results were especially important for saproxylic bacteria as the drivers of their diversity are still largely unknown. Howbeit, large research gaps still exist regarding the impacts of global change on species and processes. Moreover, the spatial coverage of studies is needed to confirm or neglect the generality of current research especially concerning the highly diverse tropical areas. An increased focus on the drivers of diversity in these areas is crucial to ensure a globally comprehensive saproxylic conservation and the various ecosystem functions they control.
Chromosomal translocations (CTs) are a genetic hallmark of cancer. They could be identified as recurrent genetic aberrations in hemato-malignancies and solid tumors. More than 40% of all "cancer genes" were identified in recurrent CTs. Most of these CTs result in the production of oncofusion proteins of which many have been studied over the past decades. They influence signaling pathways and/or alter gene expression. However, a precise mechanism for how these CTs arise and occur in a nearly identical fashion in individuals remains to be elucidated. Here, we performed experiments that explain the onset of CTs: proximity of genes able to produce prematurely terminated transcripts, which leads to the production of transspliced fusion RNAs, and finally, the induction of DNA double-strand breaks which are subsequently repaired via EJ repair pathways. Under these conditions, balanced chromosomal translocations could be specifically induced.
Lysosomes are major degradative organelles that contain enzymes capable of breaking down proteins, nucleic acids, carbohydrates, and lipids. In the last decade, new discoveries have traced also important roles for lysosomes as signalling hubs, affecting metabolism, autophagy and pathogenic infections. Therefore, maintenance of a healthy lysosome population is of utmost importance to the cell to respond to both stress conditions and also homeostatic signalling. For example, for minor perturbations to the lysosomal membrane, the cell activates repair processes which seal membrane nicks. For more extensive damage, autophagy is activated to remove damaged organelles from the cell. on the other hand, during pathogen invasion host cells have also evolved mechanisms to hijack the endolysosomal pathway to facilitate their own growth and replication in host cells.
The first part of the thesis work focuses on a lysosomal regeneration program which is activated under conditions where the entire lysosomal pool of the cell is damaged. Upon extensive membrane damage induced by the lysosomotropic drug LLOMe, the cell activates a regeneration pathway which helps in the formation of new functional lysosomes by recycling damaged membranes. I have identified the molecules important for this novel pathway of lysosomal regeneration and showed how the protein TBC1D15 orchestrates this process to regenerate functional organelles from completely damaged membrane masses in the first 2 hours following lysosomal membrane damage. This process resembles the process of auto- lysosomal reformation (ALR)- involving the formation of lysosomal tubules which are extended along microtubules and cleaved in a dynamin2 dependent manner to form proto-lysosomes which develop into fully functional mature lysosomes. These lysosomal tubules are closely associated with ATG8 positive autophagosomal membranes and require ATG8 proteins to bind to the lysophagy receptor LIMP2 on damaged membranes. This process is physiologically important under conditions of crystal nephropathy where calcium oxalate crystals induce damage to lysosomal membranes in nephrons in kidney disease.
The second part of the thesis shows how the endolysosomal system of the cell is hijacked by the bacteriaLegionella pneumophila. During Legionella infection the formation of conventional ATG8 positive autophagosomes are blocked due to the protease activity of the bacterial effector protein RavZ which cleaves lipidated ATG8 proteins from autophagosomal membranes. The SidE effectors of Legionella modify STX17 and SNAP29 by the process of non-canonical ubiquitination called phosphoribose-linked serine ubiquitination (PR-Ub). These proteins are essential for the formation of the autophagosomal SNARE complex which is used for fusion of the autophagosome with the lysosome. Upon Legionella infection, PR-UB of STX17 aids in formation of autophagosome-like replication vacuoles. ThesevacuolesdonotfusewiththelysosomebecauseSNAP29isalsoPR-Ubmodified. PR-UbofSTX17 and SNAP29 sterically blocks the formation of the autophagosomal-SNARE complex thereby preventing fusion of the autophagosome with the lysosome. As a result, Legionella can replicate in autophagosome- like vacuoles which do not undergo lysosomal degradation. In absence of PR-Ub modified STX17, bacterial replication is compromised when measured by bacterial replication assays in lung epithelial (A549) cells.
Taken together, this thesis highlights two important aspects of the autophagy-lysosomal system- how it responds to extensive membrane damage and its importance in Legionella pneumophila infection. Extensive damage to lysosomal membranes triggers a rapid regeneration process to partially restore lysosomal function before the effects of TFEB dependent lysosomal biogenesis becomes apparent. On the other hand, Legionella pneumophila infection segregates the lysosomes from the rest of the endo-lysosomal system by blocking autophagosome-lysosome fusion. Though lysosomes remain active, they are incapable of degrading pathogens since pathogen containing vacuoles do not fuse with the lysosome.
Climatology of morphology and cloud-radiative properties of marine low-level mixed-phase clouds
(2023)
Marine stratocumuli cover about 40 - 60% of the ocean surface. They self-organize into different morphological regimes. The two organized cellular regimes are called open and closed mesoscale-cellular convective (MCC) clouds. In mid-to-high latitudes, open and closed cells are the two most frequent types of MCC clouds. In particular, many MCC clouds consist of a mixture of vapor, liquid droplets, and ice particles, referred to as mixed-phase clouds (MPCs). Even for the same cloud fraction, the albedo of open cells is, on average, lower than that of closed MCC clouds. Cloud phase and morphology individually influence the cloud radiative effect. Thus, this thesis investigates the relationships between the cloud phase, MCC organization, cell size, and differences regarding the cloud-radiative effect.
This thesis focuses on space-borne retrievals to achieve extensive temporal and spatial coverage. The liDAR-raDAR (DARDAR) version 2 product collocates two active and one passive satellite: CloudSat, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), and Moderate Resolution Imaging Spectroradiometer (MODIS). The cloud phase of DARDAR is vertically integrated to establish a single cloud phase at each data point. The MCC classification data set based on the liquid water path (LWP) of MODIS scenes is collocated with the DARDAR product to determine the MCC organization. Cell-size statistics of both MCC clouds are obtained using a marker-based image segmentation method on MODIS reflectance scenes. In addition, based on MODIS reflectance scenes, a convolutional neural network (CNN) is developed to classify open and closed MCC scenes to avoid missing mature MPCs with a low LWP.
The first part of this thesis explores the relationships between cloud phase, morphology, and cloud albedo in the Southern Ocean (SO). At a given cloud-top temperature (CTT), seasonal changes in the mixed-phase fraction, defined as the number of MPCs divided by the sum of MPC and supercooled liquid cloud (SLC) pixels, are stronger than the morphological changes. Therefore, external factors seem to influence these changes instead of morphology. The dependence of cloud phase on cloud-top height (CTH) is more substantial than on CTT in clouds with CTHs below 2.5 km. The previously observed acceleration of closed-to-open transition in MPCs, known as preconditioning, is not the primary driver of climatological cloud morphology statistics in the SO. The morphological differences in cloud albedo are more pronounced in SLCs than in MPCs. This change in albedo alters the cloud radiative effect in the SO by 21Wm−2 to 39Wm−2 depending onseason and cloud phase.
Open and closed MCC clouds exhibit larger equivalent cell diameters in the MPCs than in SLCs in austral summer, whereas, in austral winter, the SLCs are larger. The cell’s aspect ratio accounts for varying CTHs. Closed cells have smaller aspect ratios than open cells, so their cell diameter is smaller, independent of CTH. While the seasonal differences in closed cells are due to changes in CTH, the seasonal aspect ratio differences in open cells are mainly caused by MPCs. With increasing aspect ratios, the cloud albedo decreases in both open and closed MCC clouds, with the most substantial decrease in open MPCs clouds. This leads to cloud-radiative changes of 60 - 75Wm−2 in the SO, depending on cloud phase and aspect ratio.
The established CNN exhibits a good accuracy of 80.6%, with even higher accuracies in the Open (85.5%) and Closed (87.3%) categories. The global MCC climatology based on the CNN generally agrees well with previous MCC distributions. The most notable difference occurs in the Northern Hemisphere (NH) in boreal winter, with a higher occurrence frequency of closed and open MCC clouds. This might indicate missing MPCs in previous studies based on the LWP and some restricted to warm cloud scenes. Thus, the developed CNN seems to better represent the different morphologies in MPCs than in previous classifications.
In conclusion, this thesis shows that understanding the dependencies of cloud phase, cloud morphology, and cell size is important to enhance predictions of the cloud-radiative effect and thus, it is important to evaluate how cloud phase, cloud morphology, and cellsize change in a warming climate.
Binary neutron star mergers represent unique observational phenomena because all four fundamental interactions play an important role at various stages of their evolution by leaving imprints in astronomical observables. This makes their accurate numerical modeling a challenging multiphysics problem that promises to increase our understanding of the high-energy astrophysics at play, thereby providing constraints for the underlying fundamental theories such as the gravitational interaction or the strong interaction of dense matter. For example, the first and so far only multi-messenger observation of the binary neutron star merger GW170817 resulted in numerous bounds on the parameters of isolated non-rotating neutron stars, e.g., their maximum mass or their distribution in radii, which can be directly used to constrain the equation of state of cold nuclear matter. While many of these results stem from the observation of the inspiral gravitational-wave signal, the postmerger phase of binary neutron star mergers encodes even more details about the extreme physics of hot and dense neutron star matter. In this Thesis we focus on the exploration of dissipative and shearing effects in binary neutron star mergers in order to identify novel approaches to constrain hot and dense neutron star matter.
The first effect is the well-motivated dissipation of energy due to the bulk viscosity which arises from violations of weak chemical equilibrium. We start by exploring the impact of bulk viscosity on black-hole accretion. This simplified problem gives us the opportunity to develop a test case for future codes taking into account the effects of dissipation in a fully general-relativistic setup and build intuition in the physics of relativistic dissipation. Next, we move on to isolated neutron stars and binary neutron star mergers by developing a robust implementation of bulk-viscous dissipation for numerical relativity simulations. We test our implementation by calculating the damping of eigenmodes of isolated neutron stars and the violent migration scenario. Finally, we present the first results on the impact of bulk viscosity on binary neutron star mergers. We identify a number of ways how bulk viscosity impacts the postmerger phase, out of which the suppression of gravitational-wave emission and dynamical mass ejection are the most notable ones.
In the last part of this Thesis we investigate how the shearing dynamics at the beginning of the merger affects the amplification of different initial magnetic-field topologies. We explore the hypothesis that magnetic fields which are located only in a small region near the stellar surface prior to merger lead to a weaker magnetic-field amplification. We show first evidence which confirms this hypothesis and discuss possible implications for constraining the physics of superconduction in cold neutron stars.
The EMT-transcription factor ZEB1 has been intensively studied in solid cancers, where it is expressed at the invasive front and in cancer-associated fibroblasts (CAFs). In tumour cells, ZEB1 has been involved in multiple steps of cancer progression including stemness, metastasis and therapy resistance, yet its role in the tumour-microenvironment is largely unknown. Here, the role of Zeb1 in CAFs was investigated using mouse models reflecting different tumour stages in immunocompetent fibroblast specific Zeb1 KO mice. Fibroblast-specific depletion of Zeb1 accelerated tumour growth in the inflammation driven AOM/DSS tumour initiation model, reduced tumour growth and invasion in the sporadic AOM/P53 model and reduced liver metastasis in a progressed orthotopic transplantation model. Immunohistochemical and single cell RNA-sequencing analysis showed that Zeb1 ablation resulted in attenuated expression of the myofibroblast marker aSMA and reduced ECM deposition, indicating a shift among fibroblast subpopulations. Modulation of CAFs was furthermore associated with increased inflammatory signaling in fibroblasts resulting in immune infiltration into primary tumours and exaggerated inflammatory signaling in T cells, B cells and macrophages. These changes in the tumour microenvironment were associated with increased efficacy of immune checkpoint inhibition therapy. In summary, Zeb1 expression in CAFs was identified as a potential target to block immunosuppression and metastatic dissemination in colon cancer.
In this dissertation, different aspects of turbulent transport and thermally driven flows over complex terrain are investigated. Two publications concentrate on the vertical heat and moisture exchange in the convective boundary layer over mountainous terrain. To study this, Large-Eddy Simulation (LES) is used. Both turbulent and advective transport mechanisms are evaluated over the simple orography of a quasi-two-dimensional, periodic valley with prescribed surface fluxes. Here, terrain elevation varies along only one of the horizontal coordinate axes. Even a relatively shallow orography, possibly unresolved in existing numerical weather prediction models, modifies the domain-averaged moisture and temperature profiles. For the analysis, the flow is decomposed into a local turbulent part, a local mean circulation, and a large-scale part. An analysis of the turbulent kinetic energy and turbulent heat and moisture flux budgets shows that the thermal circulation significantly contributes to the vertical transport. It is found that thermal upslope winds are important for the moisture transport from the valley to the mountain tops. In total, moisture export out of the valley is mostly accomplished by the mean circulation. On the temperature distribution, which is horizontally relatively homogeneous, the thermal circulation has a weaker impact. If an upper-level wind is present, it interacts with the thermal circulation. This weakens the vertical transport of moisture and thus reduces its export out of the valley. The heat transport is less affected by the upper-level wind because of its weaker dependence on the thermal circulation. These findings were corroborated in a more realistic experiment simulating the full diurnal cycle using radiation forcing and an interactive land surface model.
Based on these results, coherent turbulent structures in the convective boundary layer over non-flat terrain are studied in further detail. A conditional sampling method based on the concentration of a decaying passive tracer is implemented in order to identify the boundary-layer plumes objectively. Conditional sampling allows to quantify the contribution of plume structures to the vertical transport of heat and moisture. In case of the idealized valley, vertical transport by coherent structures is the dominant contribution to the turbulent components of both heat and moisture flux. It is comparable in magnitude to the advective transport by the mean slope-wind circulation, although it is more important for heat than for moisture transport. A set of less idealized simulations considers the flow over three-dimensional terrain. In this case, conditional sampling is carried out by using a simple domain-decomposition approach. We demonstrate that thermal updrafts are generally more frequent on hill tops than over the surroundings, but they are less persistent on the windward sides when large-scale winds are present in the free atmosphere.
The tools for flow decomposition and budget analysis are also applied in another idealized case with a quasi-two-dimensional valley featuring the stable boundary layer. Here, the formation of a low stratus cloud is investigated. The main driver for the cloud formation is radiative cooling due to outgoing longwave radiation. Despite a purely horizontal flow, the advection terms in the prognostic equations for heat and moisture produce vertical mixing across the upper cloud edge leading to a loss of cloud water content. However, this behavior is not due to any kind of thermally-driven circulation. Instead, this spurious mixing is caused by the diffusive error of the advection scheme in regions where the sloping surfaces of the terrain-following vertical coordinate intersect the cloud top. It is shown that the intensity of the (spurious) numerical diffusion strongly depends on the horizontal resolution, the order of advection, and the choice of the scalar advection scheme. A LES with 4 m horizontal resolution serves as a reference. For horizontal resolutions of a few hundred meters, carried out with a model setup as it is used in Numerical Weather Prediction, a strong reduction of the simulated liquid-water path is observed. In order to keep the (spurious) numerical diffusion at coarser resolutions small, at least a fifth-order advection scheme should be used. In the present case, a WENO scalar advection scheme turns out to increase the numerical diffusion along a sharp cloud edge compared to an upwind scheme. Furthermore, the choice of the vertical coordinate has a strong impact on the simulated liquid-water path over orography. With a modified definition of the terrain-following sigma coordinate, it is possible to produce cloud water where the classical sigma coordinate does not allow any cloud formation.
The capacity of pathogenic bacteria to adhere to host cells and to avoid subsequent clearance by the host´s immune response is the initial and most decisive step leading to infections. Human pathogenic bacteria circulating in the bloodstream need to find ways to interact with endothelial cells (ECs) lining the blood vessels to infect and colonise the host. The extracellular matrix (ECM) of ECs might represent an attractive initial target for bacterial interaction, as many bacterial adhesins have reported affinities to ECM proteins, particularly fibronectin (Fn). Trimeric autotransporter adhesins (TAA) have been described as important pathogenicity factors of Gram-negative bacteria. The TAA from human pathogenic Bartonella henselae, Bartonella adhesin A (BadA), is one of the longest and best characterised adhesin and represents a prototypic TAA due to its domain architecture. B. henselae, the causative agent of cat scratch disease, endocarditis, and bacillary angiomatosis, adheres to ECs and ECM proteins via BadA interaction.
In this research, it was determined that the interaction between BadA and Fn is essential for B. henselae host cell adhesion. BadA interactions were identified within the heparin-binding domains of Fn, and the exact binding sites were revealed by mass spectrometry analysis of chemically crosslinked whole-cell bacteria and Fn. It turned out that specific BadA interactions with defined Fn regions represent the molecular basis for bacterial adhesion to ECs. These data were confirmed by using BadA-deficient bacteria and CRISPR-Cas FN1 knockout ECs. It was also identified that BadA binds to Fn from both cellular and plasma origin, suggesting that B. henselae binding to Fn might possibly take part in other infection processes apart from bacterial adherence, e.g. evasion from the host cell immune system.
Interactions between TAAs and Fn represent a key step for adherence of B. henselae to ECs. Still, Fn-mediated binding is of more significant importance for pathogenic bacteria than broadly recognised. Fn removal from the ECM environment of ECs, also reduced adherence of Staphylococcus aureus, Borrelia burgdorferi, and Acinetobacter baumannii to host cells Interactions between adhesins and Fn might therefore represent a crucial step for the adhesion of human-pathogenic Gram-negative and Gram-positive bacteria targeting the ECs as a niche of infection or as means for persistence.
This research demonstrated that combining large-scale analysis approaches to describe protein-protein interactions with supportive functional readouts (binding assays) allows for the discrimination of crucial interactions involved in bacterial adhesion to the host. The herein-described experimental approaches and tools might guide future research for other pathogenic bacteria and represent an initial point for the future generation of anti-virulence strategies to inhibit bacterial binding to host cells.
In our rapidly changing world, land use has been recognized as having one of the strongest impacts on species and genetic diversity. The present state of temperate forests in Europe is a product of decisions made by former and current management and policy actions, rather than natural factors. Alterations of crown projection areas, structural complexity of the forest stand caused by thinning and cuttings, and changes in tree species composition caused by regeneration or plantings not only affect forest interior buffering against warming, but also the understorey light environment and nutrient availability. Ultimately, current silvicultural management practices have deep impact on the forest ecosystems, microenvironmental changes and forest floor understorey herbs. In response to environmental changes, plants rely on genetically heritable phenotypic variation, an important level of variation in the population, as it is prerequisite for adaptation. However, until now most studies on plant adaptation to land use focus on grassland management. Yet, studies on the adaptation of forest understorey herbs to forest management have been absent so far. This is important because understanding adaptation of understorey herbs is crucial for biodiversity conservation, forest restoration, and climate change mitigation. Studying current adaptation of understorey herbs to forest management yields insights into the evolutionary consequences of management practices, which could be employed to improve sustainable use of forest habitat.
In sum, my conducted experiments complement each other well and managed to fill in research gaps on the topic of genetically heritable phenotypic variation in understorey herbs and how it is affected by forest management and related microenvironmental variables. I showed that forest management has direct evolutionary consequences on the genetic basis of understorey herbs, but also indirectly through the microenvironment. Furthermore, I revealed that local adaptation and phenotypic plasticity of understorey herbs to forest structural attributes act along continuous gradients. And lastly, I highlighted the important role of intra-individual variation by revealing plastic responses to drought and shading, urging researchers to not ignore this important level of trait variation. Ultimately, understorey herbs in temperate forests employ phenotypic plasticity as a flexible strategy to adapt to varying environmental conditions. By adjusting their leaf characteristics, reproductive investment, and phenology, they can optimize their fitness and survival in response to changes in light availability, resource availability, and seasonal cues. The anthropogenic impact on temperate forests and understorey herbs will continue and likely increase in the future. This should urge foresters to adapt their silvicultural management decisions towards the long-term preservation of genetic diversity and, through this, the evolvability and adaptability of forest understorey herbs and associated organisms. Based on the results shown in my dissertation, variation in forest management regimes and types could be beneficial for promoting genetic diversity within several species of forest understorey herbs. Lastly, in the face of future climatic changes, the mechanisms by which plants can cope with increasing stressful environmental conditions might very well rely heavily on intra-individual variation, providing the necessary rapid plastic adjustment to changing microclimatic conditions within populations and thus increase climate change resilience.
A synchrotron is a particular type of cyclic particle accelerator and the first accelerator concept to enable the construction of large-scale facilities [10], such as the largest particle accelerator in the world, the 27-kilometre-circumference Large Hadron Collider (LHC) by CERN near Geneva, Switzerland, the European Synchrotron Radiation Facility (ESRF) in Grenoble, France for the synchrotron radiation, the superconducting, heavy ion synchrotron SIS100 under construction for the FAIR facility at GSI, Darmstadt, Germany and so on. Unlike a cyclotron, which can accelerate particles starting at low kinetic energy, a synchrotron needs a pre-acceleration facility to accelerate particles to an appropriate initial value before synchrotron injection. A pre-acceleration can be realized by a chain of other accelerator structures like a linac, a microtron in case of electrons, for example, Proton and ion injectors Linac 4 and Linac 3 for the LHC, UNLAC as the injector for the SIS18 in GSI and in future the SIS18 as injector for the SIS100. The linac is a commonly used injector for the ion synchrotron and consists of some key components. The three main parts of a linac are: An ion source creating the particles, a buncher system or an RFQ followed by the main drift tube accelerator DTL. In order to meet the energy and the beam current requirement of a synchrotron injector linac, its cost is a remarkable percentage of the total facility costs.
However, the normal conducting linac operation at cryogenic temperatures can be a promising solution in improving the efficiency and reducing the costs of a linac. Synchrotron injectors operate at very low duty factor with beam pulse lengths in 1 micros to 100 micros range, as most of the time is needed to perform the synchrotron cycle. Superconducting linacs are not convenient, as they cannot efficiently operate at low duty factor and high beam currents.
The cryogenic operation of ion linacs is discussed and investigated at IAP in Frankfurt since around 2012 [1, 37]. The motivation was to develop very compact synchrotron injectors at reduced overall linac costs per MV of acceleration voltage. As the needed beam currents for new facilities are increasing as well, the new technology will also allow an efficient realization of higher injector linac energies, which is needed in that case. Operating normal conducting structures at cryogenic temperature exploits the significantly higher conductivity of copper at temperatures of liquid nitrogen and below. On the other hand, the anomalous skin effect reduces the gain in shunt impedance quite a bit[25, 31, 9]. Some intense studies and experiments were performed recently, which are encouraging with respect to increased field levels at linac operation temperatures between 30 K and 70 K [17, 24, 4, 23, 5, 8]. While these studies are motivated by applications in electron acceleration at GHz-frequencies, the aim of this paper is to find applications in the 100 to 700 MHz range, typical for proton and ion acceleration. At these frequencies, a higher impact in saving RF power is expected due to the larger skin depth, which is proportional to the frequency to the power of negative half with respect to the normal skin effect. On the other hand, it is assumed that the improvement in maximum surface field levels will be similar to what was demonstrated already for electron accelerator cavities. This should allow to find a good compromise between reduced RF power needs for achieving a given accelerator voltage and a reduced total linac length to save building costs.
A very important point is the temperature stability of the cavity surface during the RF pulse. This is of increasing importance the lower the operating temperature is chosen: the temperature dependence of the electric conductivity in copper gets rather strong below 80 K, as long as the RRR - value of the copper is adequate. It is very clear, that this technology is suited for low duty cycle operated cavities only - with RF pulse lengths below one millisecond. At longer pulses the cavity surface will be heated within the pulse to temperatures, where the conductivity advantage is reduced substantially. These conditions fit very well to synchrotron injectors or to pulsed beam power applications.
H – Mode structures of the IH – and of the CH – type are well-known to have rather small cavity diameters at a given operating frequency. Moreover, they can achieve effective acceleration voltage gains above 10 MV/m even at low beam energies, and already at room temperature operation[29]. With the new techniques of 3d – printing of stainless steel and copper components one can reduce cavity sizes even further – making the realization of complex cooling channels much easier.
Another topic are copper components in superconducting cavities – like power couplers. It is of great importance to know exactly the thermal losses at these surfaces, which can’t be cooled efficiently in an easy way.
Brain development is a complex and highly organized process that relies on the coordinated interaction between neurons and vessels. These cell systems form a neurovascular link that involves the exchange of oxygen, ions, and other physiological components necessary for proper neuronal and vascular function. This physiologically coupled process is executed through analogous structural and molecular signaling mechanisms shared by both cell types. At the neurovascular interface, the cellular crosstalk via these shared signaling mechanisms allows for the synchronized expansion and integration of neurons and vessels into complex cellular networks. This study investigated the role of VEGFR2, a receptor for vascular endothelial growth factor (VEGF), during postnatal neuronal development in the mouse hippocampus. Prior studies have revealed physiological roles of VEGF, a pro-angiogenic morphogen, in nervous system development. However, it was unclear if VEGF signaling had a direct effect on neuronal physiology and function through neuronal-expressing receptors. In this investigative work, we identified a previously unknown function of VEGFR2, whereby VEGF-induced signaling coordinates the development and circuitry integration of CA3 pyramidal neurons in the early postnatal mouse hippocampus. Mechanistically, we found that VEGFR2 signaling requires receptor endocytosis, a process mediated by ephrinB2. We also found that VEGF-induced cooperative signaling between VEGFR2 and ephrinB2 is functionally required for the dendritic arborization and spine maturation of developing CA3 neurons during the first few postnatal weeks. Moreover, in a collaborative effort with the research group of Carmen Ruiz de Almodovar, formerly at the University of Heidelberg, we simultaneously studied VEGF-induced VEGFR2 signaling in CA3 axonal development. Together, we aimed to gain a comprehensive understanding of the complex interplay between VEGF and VEGFR2 signaling during the early postnatal development of CA3 neurons. Ruiz de Almodovar’s research group found that, unlike the branch and spine development of CA3 dendrites, VEGF-VEGFR2 signaling promotes axonal development through mechanisms that are independent of ephrinB2 function. Our findings on CA3 dendritic development are reported in the published manuscript, Harde et al. (2019), and the complementary work on CA3 axonal development from Ruiz de Almodovar's group is presented in the co-published manuscript, Luck et al. (2019). Although the totality of Ruiz de Almodovar's group's work on CA3 axons is not fully discussed here, it is referenced where noted to provide biological context for our findings on CA3 dendritic development.
VEGFR2 signaling within neurovascular niches is known to play a role in the neurogenesis of neural progenitor cells during embryonic development and within the adult brain. However, the precise localization of neuronal VEGFR2 expression and functional role within the nervous system during postnatal brain development was unknown. To investigate this, we used immunohistochemistry to identify the spatial expression of VEGFR2 within the mouse hippocampus during the first few weeks after birth. Our results showed that VEGFR2 was predominantly expressed within the hippocampal vasculature, consistent with prior studies. However, we also observed localized VEGFR2 expression in pyramidal cell neurons of the hippocampal CA3 region by postnatal day 10 (P10). This spatially restricted postnatal expression of VEGFR2 in CA3 neurons suggested a potential role in the development of these neurons during this developmental stage.
The first two weeks after birth in the mouse hippocampus is a critical period for the development of neuronal circuits, as neurons undergo extensive dendritic arborization and spine formation. To explore the role of VEGFR2 in the postnatal nervous system, we used a Nes-cre VEGFR2lox/- mouse line to target the deletion of VEGFR2 expression within the nervous system while preserving normal receptor expression in all other cell types. We also generated corresponding control mice that were negative for Nes-cre. By breeding these mice with Thy1-GFP reporter mice, we could analyze the functional consequences of VEGFR2 by assessing the morphologies of CA3 dendritic trees and spine density and maturation at P10 and P15, respectively. Our analysis showed that CA3 neurons in Nes-cre VEGFR2lox/- mice had less complex dendritic arbors compared to control mice. There were significant reductions in total length and branch points, particularly in areas located 100-250 μm from the cell soma within the stratum radiatum layer. Additionally, Nes-cre VEGFR2lox/- mice exhibited a significant decrease in spine density accompanied by an increased proportion of immature spines. These findings suggest that VEGFR2 plays a crucial role in the proper development of CA3 dendrites and spines during the early postnatal weeks.
Cyber Physical Systems (CPS) are growing more and more complex due to the availability of cheap hardware, sensors, actuators and communication links. A network of cooperating CPSs (CPN) additionally increases the complexity. This poses challenges as well as it offers chances: the increasing complexity makes it harder to design, operate, optimize and maintain such CPNs. However, on the other side an appropriate use of the increasing resources in computational nodes, sensors, actuators can significantly improve the system performance, reliability and flexibility. Therefore, self-X features like self-organization, self-adaptation and self-healing are key principles for such systems.
Additionally, CPNs are often deployed in dynamic, unpredictable environments and safety-critical domains, such as transportation, energy, and healthcare. In such domains, usually applications of different criticality level exist. In an automotive environment for example, the brake has a higher criticality level regarding safety as the infotainment. As a result of mixed-criticality, applications requiring hard real-time guarantees compete with those requiring soft real-time guarantees and best-effort application for the given resources within the overall system. This leads to the need to accommodate multiple levels of criticality while ensuring safety and reliability, which increases the already high complexity even more.
This thesis deals with the question on how to conveniently, effectively and efficiently handle the management and complexity of mixed-critical CPNs (MC-CPNs). Since this cannot be done by the system developer without the assistance of the system itself any longer, it is essential to develop new approaches and techniques to ensure that such systems can operate under a range of conditions while meeting stringent requirements.
Based on five research hypothesis, this thesis introduces a comprehensive adaptive mixed-criticality supporting middleware for Cyber-Physical Networks (Chameleon), which efficiently and autonomously takes care of the management and complexity of CPNs with regard to the mixed-criticality aspect.
Chameleon contributes to the state-of-art by introducing and combining the following concepts:
- A comprehensive self-adaption mechanism on all levels of the system model is provided.
- This mechanism allows a flexible combination of parametric and structural adaptation actions (relocation, scheduling, tuning, ...) to modify the behavior of the system.
- Real-time constraints of mixed-critical applications (hard real-time, soft real-time, best-effort) are considered in all possible adaptation conditions and actions by the use of the importance parameter.
- CPNs are supported by the introduction of different scopes (local, system, global) for the adaptation conditions and actions. This also enables the combination of different scopes for conditions and actions.
- The realization of the adaptation with a MAPE-K loop instantiated by a distributed LCS allows for real-time capable reasoning of adaptation actions which also works on resource-spare systems.
- The developed rule language Rango offers an intuitive way to specify an initial rule set for LCS in the context of CPS/CPNs and supports the system administrators in the process of rule set generation.
For thousands of years, S. cerevisiae has been employed by humans in brewing and baking. Nowadays, this budding yeast is more than that: it is a well investigated model organism and an established workhorse in biotechnology. S. cerevisiae serves as a production host for various applications such as i) bioethanol production ii) the biosynthesis of hormones including insulin or iii) cannabinoid biosynthesis. Hereby, the robustness of S. cerevisiae and its high tolerances regarding pH and salt concentrations qualifies it for a wide range of industrial applications. Moreover, products of S. cerevisiae are generally recognised as safe (GRAS), enabling diverse biotechnological applications. Various mechanisms for genetic engineering of S. cerevisiae are applicable and the engineering process itself is straightforward since methods are established and widely known. Due to the wide range of industrial applications of S. cerevisiae, this organism is an ideal candidate for applied research and implementation of the recombinant biosynthesis of tocochromanols in this study.
Tocochromanols encompass tocotrienols and tocopherols, which are lipid-soluble compounds that are commonly associated with vitamin E activity. Hereby, α-tocopherol is the most prevalent form, as it is an essential nutrient in the diet of humans and animals. Naturally, tocochromanols are almost exclusively synthesised by photoautotrophic organisms such as plants or cyanobacteria. They consist of an aromatic head group and a polyprenyl side chain which is saturated in tocopherols and 3-fold unsaturated in tocotrienols. The methylation status of the chromanol ring distinguishes α-, β-, γ- and δ-tocochromanol. All forms of tocochromanols represent a group of powerful antioxidants, scavenging reactive oxygen species (ROS) and preventing the propagation of lipid oxidation in lipophilic environments. Recently, attention has been drawn to tocotrienols, due to their benefits in neuroprotection as well as cholesterol-lowering and anti-cancer properties. Consequently, tocochromanols are valuable additives in the food, feed, cosmetic and pharmaceutical industries.
The metabolic engineering strategy of S. cerevisiae to enable tocochromanol biosynthesis was started in a preceding master thesis with the provision of the aromatic moiety, homogentisic acid (HGA), from the aromatic amino acid biosynthesis. Hereby, the upregulation and redirection of the native pathway was essential. Therefore, a strain with an engineered aromatic amino acid pathway for improved 4 hydroxyphenylpyruvate (HPP) production (MRY33) was utilised from Reifenrath and Boles (2018). Furthermore, a heterologous hydroxyphenylpyruvate dioxygenase (HPPD) was required to convert HPP into HGA. Thus, several heterologous HPPDs were expressed and characterised regarding their HGA production within the previous study. The best variant originated from Yarrowia lipolytica, YlHPPD, and was integrated into the genome of MRY33. The resulting strain JBY2, produced 435 mg/L HGA in a shake flask fermentation.
This work was started with the genetically highly modified strain JBY2, whose genome already contained a large number of genes artificially expressed behind strong promoters. For further strain development, it was advantageous to maintain a high degree of sequence variability in order to prevent genomic instabilities due to sequence homologies. Thus, 17 artificial promoters (AP1-AP17) were characterised regarding their strength of expression by the yellow fluorescent protein (YFP). These sequences were also part of a patent that was filed during this work (WO2023094429A1).
The key point of this study was the development of a metabolic engineering strategy for the strain JBY2. First, the sufficient supply of the second precursor, the polyprenyl side chain, was investigated. Natively, S. cerevisiae produces the precursor, geranylgeranyl diphosphate (GGPP), from the isopentenyl diphosphate pathway. However, without further engineering, GGPP was barely detectable in JBY2 (< 0.1 mg/L). Thus, engineering of the isopentenyl diphosphate biosynthesis was necessary. The limiting enzyme of the mevalonate pathway was the 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), which is encoded by HMG1. Therefore, a truncation for feedback-resistance and its overexpression by a promoter exchange was performed. Furthermore, the promoter of the gene for the squalene synthase (pERG9) was exchanged by the ergosterol sensitive promoter pERG1 to limit the metabolic flux of the mevalonate pathway into the ergosterol pathway. The native GGPP synthase (BTS1) was another limitation that was observed throughout this study. To overcome this bottleneck, plasmid-based and integrative overexpression of the native BTS1 and a codon optimised BTS1 were investigated. Other strategies to improve GGPP production were the deletion of the gene for the diacylglycerol pyrophosphate phosphatase (DPP1) to prevent excessive dephosphorylation of GGPP to geranylgeraniol (GGOH), and the overexpression of the farnesyl pyrophosphate synthetase, encoded by ERG20. However, the best improvements of the GGPP biosynthesis, inferred through GGOH measurements, were achieved from the screening of several heterologous GGPP synthases in S. cerevisiae. The best performing strain was JBY61 (JBY2, hmg1Δ::pTDH3-HMG1tr[1573–3165], pERG9Δ::pERG1, ChrIV-49293-49345Δ::pTDH3-XdcrtE-tSSA1_LEU2), bearing the heterologous GGPP synthase crtE of Xanthophyllomyces dendrorhous and produced 64.23 mg/L GGOH. Consequently, this engineering strategy improved the GGOH production by a factor of 642 compared to the parent strain JBY2.
In the last twenty years, a variety of unexpected resonances had been observed within the charmonium mass region. Although the existence of unconventional states has been predicted by the quantum chromodynamics (QCD), a quantum field theory describing the strong force, a clear evidence was missing. The Y(4260) is such an unexpected and supernummerary state, first observed at BaBar in 2005, and aroused great interest, because it couples much stronger to hidden charm decays (charm-anticharm states like J/Psi or h_c) instead of open charm decays (D meson pairs). This is unusual for states with masses above the D anti-D threshold. Furthermore, it decays into a charged exotic state Y(4260)->Z_c(3900)^+- pi^-+. The charge of the Z_c(3900)^+- is an indication that it comprises of two more quarks than the charm-anticharm pair, and could therefore be assumed to be a four-quark state. Due to these still not understood properties of these QCD-allowed states, they are referred to as exotic XYZ states to emphasize their particularity.
In 2017, the collaboration of the Beijing Spectrometer III (BESIII) investigated the production reaction of the Y(4260) resonance based on a high-luminosity data set. This significantly improved precision of the measurement of the cross-section sigma(e+e- -> J/Psi pi^+ pi^-) permitted a resolution into two resonances, the Y(4230) and the Y(4360). The Z_c(3900)^+- had been discovered by the BESIII collaboration in 2013, thus this experiment at the Beijing Electron-Positron Collider II (BEPCII) is a top-performing facililty to study exotic charmonium-like states.
In this work, an inclusive reconstruction of the strange hyperon Lambda in the charmonium mass region is performed to study possible decays of Y states in order to provide further insight into their nature. Finding more states or new decay channels may provide crucial hints to understand the strong interaction beyond nonperturbative approaches.
Three resonances are observed in the energy dependent cross-section: the first with a mass of (4222.01 +- 5.68) MeV and a width of (154.26 +- 28.16) MeV, the second with a mass of (4358.88 +- 4.97) MeV and a width of (49.58 +- 13.54) MeV and the third with a mass of (4416.41 +- 2.37) MeV and a width of (23.88 +- 7.18) MeV. These resonances, with a statistical significance Z > 5sigma, can be interpreted as the states Y(4230), Y(4360) and psi(4415).
Additionally, a proton momentum-dependent analysis strategy has been used in terms of the inclusiveness of the reconstruction and to address the momentum discrepancies between generic MC and measured data.
Artificial intelligence in heavy-ion collisions : bridging the gap between theory and experiments
(2023)
Artificial Intelligence (AI) methods are employed to study heavy-ion collisions at intermediate collision energies, where high baryon density and moderate temperature QCD matter is produced. The experimental measurements of various conventional observables such as collective flow, particle number fluctuations, etc. are usually compared with expensive model calculations to infer the physics governing the evolution of the matter produced in the collisions. Various experimental effects and processing algorithms can greatly affect the sensitivity of these observables. AI methods are used to bridge this gap between theory and experiments of heavy-ion collisions. The problems with conventional methods of analyzing experimental data are illustrated in a comparative study of the Glauber MC model and the UrQMD transport model. It is found that the centrality determination and the estimated fluctuations of the number of participant nucleons suffer from strong model dependencies for Au-Au collisions at 1.23 AGeV. This can bias the results of the experimental analysis if the number of participant nucleons used is not consistent throughout the analysis and in the final model-to-data comparison. The measurable consequences of this model dependence of the number of participant nucleons are also discussed. In this context, PointNet-based AI models are developed to accurately reconstruct the impact parameter or the number of participant nucleons in a collision event from the hits and/or reconstructed track of particles in 10 AGeV Au-Au collisions at the CBM experiment. In the last part of the thesis, different AI methods to study the equation of state (EoS) at high baryon densities are discussed. First, a Bayesian inference is performed to constrain the density dependence of the EoS from the available experimental measurements of elliptical flow and mean transverse kinetic energy of mid rapidity protons in intermediate energy collisions. The UrQMD model was augmented to include arbitrary potentials (or equivalently the EoSs) in the QMD part to provide a consistent treatment of the EoS throughout the evolution of the system. The experimental data constrain the posterior constructed for the EoS for densities up to four times saturation density. However, beyond three times saturation density, the shape of the posterior depends on the choice of observables used. There is a tension in the measurements at a collision energy of about 4 GeV. This could indicate large uncertainties in the measurements, or alternatively the inability of the underlying model to describe the observables with a given input EoS. Tighter constraints and fully conclusive statements on the EoS require accurate, high statistics data in the whole beam energy range of 2-10 GeV, which will hopefully be provided by the beam energy scan programme of STAR-FXT at RHIC, the upcoming CBM experiment at FAIR, and future experiments at HIAF and NICA. Finally, it is shown that the PointNet-based models can also be used to identify the equation of state in the CBM experiment. Despite the uncertainties due to limited detector acceptance and biases in the reconstruction algorithms, the PointNet-based models are able to learn the features that can accurately identify the underlying physics of the collision. The PointNet-based models are an ideal AI tool to study heavy-ion collisions, not only to identify the geometric event features, such as the impact parameter or the number of participant nucleons, but also to extract abstract physical features, such as the EoS, directly from the detector outputs.