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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.
Molecular concepts for pandemic viruses : membrane fusion assays and targeting of reservoir cells
(2024)
In den letzten Jahren haben verschiedene pandemische Viren zu beträchtlichen Krankheits- und Todesfällen geführt. Um dieser ständigen Bedrohung entgegenzuwirken, ist es wichtig diagnostische Testsysteme und Therapien anzupassen oder neu zu etablieren. Diese Arbeit konzentriert sich auf die pandemischen Viren SARS-CoV-2 und HIV.
Der Zelleintritt von SARS-CoV-2 wird durch das Spike-Protein (S) ausgelöst, welches die Fusion der Virushülle mit der zellulären Membran bewirkt. Erste Studien haben gezeigt, dass das S-Protein eine hohe Fusionsaktivität aufweist. Aus diesem Grund sollten in dieser Arbeit neue Fusionstests etabliert werden, um potenzielle Inhibitoren der Zellfusion zu evaluieren. Im ersten Teil dieser Thesis wird die Etablierung von quantitativen Tests zur Evaluierung der Zell-Zell und Partikel-Zell Fusionsaktivität, welche durch S bewirkt wird, demonstriert.
Trotz jahrelanger Forschung können HIV-Patienten nicht geheilt werden und Virusinfektionen treten weiterhin weltweit auf. Das größte Problem bei der Entwicklung eines Heilmittels ist die frühe Bildung von Reservoirzellen während einer Infektion. Um diese Reservoirzellen zu identifizieren, wurde der Oberflächenmarker CD32a vorgeschlagen. Die Nutzung von Cas9-Nukleasen zur Inaktivierung von HIV ist in vitro erfolgreich, aber der effiziente Transfer in Reservoirzellen bleibt weiterhin herausfordernd. Im zweiten Teil dieser Thesis werden Rezeptor-gerichtete Adeno-assoziierte Vektoren (AAVs) für die HIV-Gentherapie präsentiert, die CD4 und CD32a für den Zelleintritt nutzen.
Zur Charakterisierung der Fusionsaktivität von SARS-CoV-2 wurden drei quantitative Fusionstests etabliert, welche Partikel- und Zell-Zell Fusionen berücksichtigen. Für den Partikel-Zell Fusionstest wurden lentivirale Vektoren (LV) verwendet, welche das S-Protein auf ihrer Oberfläche präsentierten. Die Transduktionseffizienz von S-LV erreichte auf Zellen, die den SARS-CoV-2 Rezeptor ACE2 exprimieren, ein Signal-zu-Hintergrund Verhältnis von über 2000. Durch die Präsentation von S auf leeren LV-Partikeln konnte die Fusion von benachbarten Zellen detektiert und quantifiziert werden („fusion-from-without“ (FFWO)). Für die Quantifizierung wurde ein Reporter-Komplementationstest etabliert. Hierbei wurden die Alpha- und Omega-Fragmente der β-Galaktosidase getrennt in zwei Zielzellpopulationen exprimiert, die beide ACE2 exprimierten. Durch die Zugabe von S-Partikeln kam es zur Fusion der Zielzellen und zur Komplementation der Alpha- und Omega-Fragmente. Die resultierende β-Galaktosidase-Aktivität konnte anschließend quantifiziert werden. Unter optimalen Versuchsbedingungen erreichte dieser Assay ein Signal-zu-Hintergrund Verhältnis von 2,7 Größenordnungen. Anschließend wurde der Komplementationstest für die Messung der Zell-Zell Fusion verwendet. In diesem Test exprimierten Effektorzellen S und das Alpha-Fragment, Zielzellen ACE2 und das Omega-Fragment. Obwohl die S-Expression auf den Effektorzellen sehr gering war, konnte dennoch eine signifikante Fusion nachgewiesen werden. Auch hier konnte unter optimalen Versuchsbedingungen ein hohes Signal-zu-Hintergrund Verhältnis von 2,9 Größenordnungen festgestellt werden. Nach der Etablierung der Testsysteme wurden S-spezifische Inhibitoren verwendet. Im Gegensatz zu Partikel-Zell-Fusionen wurde die Fusionsaktivität von S auf Zellen nur mäßig inhibiert. Dies deutet daraufhin, dass das Eindringen von Partikeln in Zellen wirksamer verhindert werden kann als die Ausbreitung durch Zell-Zell Fusionen.
Um AAVs spezifisch an HIV-Reservoirzellen zu binden, wurden CD4- und CD32a-spezifische DARPins („designed ankyrin repeat proteins“) in Rezeptor-verblindete AAVs eingebaut. Ebenso wurden beide DARPins gleichzeitig auf dem Kapsid präsentiert, um eine höhere Spezifität für doppelt-positive Zellen zu erreichen. Wenn diese Partikel einer Zellmischung aus CD4-, CD32a- und CD4/CD32a-exprimierenden Zellen zugesetzt wurden, transduzierten die bispezifischen Vektoren vorzugsweise doppelt-positive Zellen. Diese Präferenz war am höchsten in Zellkulturen, die stark unterrepräsentierte CD4/CD32a-exprimierende Zellen enthielten. Unter diesen Voraussetzungen erreichten bispezifische Vektoren eine bis zu 66-fach höhere Transduktionseffizienz auf CD4/CD32a-positive Zellen im Vergleich zu CD32a-exprimierenden Zellen. Darüber hinaus zeigten bispezifische AAV eine präferentielle Bindung und Transduktion von isolierten Primärzellen und Zellen in Vollblut. Selbst nach systemischer Injektion in humanisierte Mäuse wurden doppelt-positive Zellen effizienter von bispezifischen als von monospezifischen AAVs transduziert. Schließlich zeigten die generierten Vektoren, welche die Cas9 Nuklease transferierten, eine effiziente Inhibition der HIV-Replikation.
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.
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.
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.
The main goal of this work is to contribute to the existing knowledge of soil micro-fungi in Panama and Germany. Studies about soil degradation and its influents in the soil fungi diversity have not been investigated as extensively in these countries. This is an extensive and challenging topic to examine since there is an immense phenotypic and genetic diversity in the soil fungal community and relating this community together with factors of soil degradation is an extensive task. For this reason, the present thesis studies the species identified in the study areas, in other words, the soil fungal diversity in relation to environmental factors in the Taunus Mountain range in Frankfurt, Germany, and in the Majagua valley in Chiriquí, Panama. Two complementary objectives were achieved, the first was the development of a theoretical irrigation model for degraded soils. The second was the development of a mobile application to facilitate laboratory work in the cultivation of soil micro-fungi.
The design of the methodology was based on identifying the species and relating the diversity found to soil factors. Soil samples were taken in both countries: the Taunus Mountain range was sampled eight times from January to November 2012 and the Majagua valley was sampled on three occasions between February and July 2012. In both studies, the areas included three different vegetation types (forest, grassland, and bare soil). Samples were separated for two purposes: the assessment of fungal diversity by molecular and morphological methods and soil characterization.
Soil samples used in the methodology of pyrosequencing were related to global climatic factors. Morphological identification was achieved with identification keys. Micro-fungi were cultivated in different media until obtaining pure cultures. Molecular identification was performed by getting the DNA sequences using the ITS1 and ITS4 primers and comparing the sequences with other reference sequences from GenBank. This was done considering the BLAST algorithm, which considered sequences that matched 98 % or more of maximum identity as reliable identifications.
Soil characterization was carried out to measure the soil's Physico-chemical properties; those abiotic factors were compaction, temperature, pH, moisture, and soil composition.
Species richness was calculated in each study area with the estimators Chao, Jackknife, and Bootstrap. Furthermore, the species accumulation curves were performed to observe the species discovery rate and estimate sample completeness. Estimate linear regression models correlated the influence between the soil factors (temperature, moisture, pH, soil compaction, and soil composition) and the species richness. In the same way, an analysis of ecological distance was undertaken based on the similarity in the species composition, compared across samples, and correlated with soil factors, using non-metric multidimensional scaling (NMDs).
Study of abundance showed differences between the bare soil abundances and the forest abundances in Germany and Panama; the grasslands in both countries work as transitional areas in the fungi abundance. The key stone species in Germany were Penicillium daleae, and Pochonia bulbillosa, whereas in Panama were Purpureocillium lilacinum and Trichoderma harzianum. Based on Pareto analysis, a theoretical irrigation model was developed to counteract the degradation effects on the abundance of micro-fungi in the soil.
Applications for mobile devices dealing with the cultivation of soil micro fungi were sought. Due to the small number of existing applications, a new App called Soil-Fungi-Cultures (SFC) was developed to facilitate data collection of cultivated soil micro fungi. App Inventor was the program used to design, program, test, and publish the application developed. The developed application was compared with other applications used in identifying bacteria cultures. The results showed that the new application needed more time to capture the records because it saves more information, the navigation flow was acceptable, the number of clicks was high, but it is due to the usefulness in data capture, and finally, the users rated it as a good application with an eight out of ten rating.
Pyrosequencing resulted in 204 Operational Taxonomic Units (OTUs) considering the two study areas (the Taunus Mountain range and the Majagua valley). The Pyrosequencing database was used to contribute to the most important study of fungal diversity globally based on OTUs, which surpasses any study of molecular and taxonomic diversity previously conducted. The principal result in this study was that the climatic factor is the best predictor of fungal richness and community composition on a global scale. However, the part of the research that focused on the local scale, that is to say, on the correlation patterns between the distribution of fungal species and abiotic factors, showed that the soil properties and degradation levels were not associated with fungal richness, diversity or soil composition in the study areas in Germany or Panama. The above confirms that there are exceptions to the way relationships between soil factors with fungal diversity are established at the local level.
In the case of soil samples used for morphological identification, 71 fungal species were obtained, 47 from Germany, and 32 from Panama.
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.
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.
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.
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.
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.
In this dissertation, we look at environmental effects in extreme and intermediate mass ratio inspirals into massive black holes. In these systems, stellar mass compact objects orbit massive black holes and lose orbital energy due to gravitational wave emission and other dissipative forces. We explore environmental interactions with dark matter spikes, stellar distributions, accretion disks, and combine and compare them. We discuss the existence and properties of dark matter spikes in the presence of these environmental effects. The signatures of the environmental effects, such as the phase space flow, dephasing, deshifting of the periapse, and alignment with accretion disks, are examined. These signatures are quantified in isolated spike systems, in dry, and in wet inspirals. We generally find dark matter effects to be subdominant to the other environmental effects, but their impact on the waveform is still observable and identifiable. Lastly, the rates of inspirals and the impact of spikes are estimated. All of these results are obtained with the help of a code imripy that is published alongside. If dark matter spikes exist, they should be observable with space-based gravitational wave observatories.
In dieser Dissertation werden die Erfahrungen mit verschiedenen Präparationsmethoden für CH-Kavitäten beschrieben, um die Leistung der Kavitäten nach der Herstellung weiter zu steigern. Die Leistung wird anhand von zwei wichtigen HF-Parametern bewertet:
dem elektrischen Feld Ea und der intrinsischen Güte Q0. Im Gegensatz zu normalleitenden (NC) Kavitäten kann die intrinsische Güte von supraleitenden (SC) Kavitäten mit zunehmendem elektrischem Feld erheblich variieren. Das optimale Ergebnis für die Kavitätenpräparation ist die Erhöhung des maximalen elektrischen Feldes unter Beibehaltung eines höheren Q0 über die gesamte Feldspanne. Da Q0 umgekehrt proportional zu den Kavitätsverlusten ist, reduziert eine Erhöhung des Qualitätsfaktors die Kryoverluste für den Betrieb bei gegebenem Feldniveau. Die Entwicklung der Kavitätenperformanz im Verlauf dieser Arbeit dargestellt.
Die meisten SC-Kavitäten sind elliptische Strukturen, welche bei hoher Geschwindigkeit und Tastrate angewendet werden. Die Präparationsmethoden wurden daher überwiegend auf diese Strukturen angewandt und optimiert. Diese Arbeit konzentriert sich auf die Umsetzung der zuverlässigsten und vielversprechendsten Oberflächenbehandlungen mittels des ersten vom IAP entwickelten SC 360MHz CH-Prototyps. Diese Kavität wies nach 11 Jahren Lagerung eine verminderte Leistung auf, welche mit Röntgenstrahlung bei bereits niedrigen elektrischen Feldern einherging. Dies deutet auf eine unbeabsichtigte Belüftung mit normaler Luft hin, durch die Partikel eingeführt wurden, die als verstärkende Quellen von Elektronen fungierten. Außerdem musste der Leistungskoppler aufgrund einer starken Überkopplung neu ausgelegt werden.
Die Kavität wurde für 48 Stunden bei 120◦ C mittels Heizbändern in der Experimentierhalle des IAP’s ausgeheizt, was zu einer Verbesserung des Qualitätsfaktors bei niedrigen Werten und zu einer Verkürzung der für die Konditionierung von Multipacting-Barrieren erforderlichen Zeit führte. Allerdings wurde durch diese Behandlung das maximale erreichbare elektrische Feld weiter verringert. Die Verbesserung der Güte ist auf das Ausgasen der Kohlenwasserstoffe während des Backvorgangs zurückzuführen. Die negative Auswirkung auf das maximale elektrische Feld ist weniger auf das Backen selbst zurückzuführen als auf den Transport der Kavität und die verwendeten Vakuumkomponenten, die in der Versuchshalle gelagert sind.
Die beobachtete Leistungseinschränkung lässt sich hauptsächlich durch Partikel im Inneren des Resonators erklären, da Feldemission bei niedrigen Feldstärken auftrat. Eine Hochdruckspülung mit ultrareinem Wasser (HPR) ist das Standardverfahren, um nach Behandlungen, bei denen das Risiko einer Oberflächenkontamination besteht, eine hohe Reinheit der inneren Oberflächen zu erreichen. Die HPR wurde in Zusammenarbeit mit dem Helmholtz-Institut-Mainz und der Gesellschaft für Schwerionenforschung geplant und durchgeführt. Der Resonator zeigte bereits während der Messung der Q-E-Kurve eine Zunahme der transmittierten Leistung bei konstanter Vorwärtsleistung, was vor der HPR nicht der Fall war. Bei der CW-HF-Konditionierung zeigte die Kavität den höchsten Gradienten bei einem deutlich schwächeren Q-Abfall bei hohen Feldstärken.
Sowohl bei der Messung von 2008 als auch bei der beschriebenen Messung wurde die Kavität mit einer HPR-Behandlung fertiggestellt, aber für die HPR-Behandlung bei HIM in Mainz wurden einige Anpassungen vorbereitet. Der CH Prototyp verfügt über keine zusätzlichen Spülports und wurde daher mit zwei verschiedenen Düsen mit unterschiedlichen Sprühwinkeln gespült, um die erreichbaren inneren Resonatorflächen zu maximieren. Die Verwendung mehrerer Sprühwinkel könnte auch für CH-Kavitäten mit Spülöffnungen von Vorteil sein und sollte für zukünftige HPR-Anwendungen in Betracht gezogen werden.
Die Heliumbehandlung wurde am CH-Prototyp 2,5 Stunden lang durchgeführt und lieferte vielversprechende Ergebnisse in Bezug auf die Güte und die Gradientenoptimierung.
Während dieses Prozesses wurde die emittierte Röntgenstrahlung in Richtung am Arbeitsplatzs gemessen und zeigte starke zeitabhängige Fluktuationen. Dies deutete auf die Beseitigung von Partikeln hin und wurde anschließend durch einen Anstieg des elektrischen Feldes von 8,4 auf 8,7 MV/m bestätigt. Eine unerwartete Auswirkung wurde bei der Q-Steigung im mittleren bis hohen Feld festgestellt, bei der der Qualitätsfaktor im Vergleich zum HF-konditionierten Fall eine Erhöhung von 5% oberhalb von 2MV/m aufwies. Dieser systematische Anstieg wurde für diesen Beschleuniger vor der Behandlung bisher nicht beobachtet. Stickstoffgedopte Kavitäten zeigen ein ähnliches Verhalten, bei dem Wechselwirkungen innerhalb der Oxidschicht mit Änderungen der Qualitätsfaktoren korreliert sind. Da Helium ein nicht reaktives Element ist, sind mögliche Erklärungen für diesen Effekt der Sputterprozess und die Einlagerung von Helium innerhalb der Oberfläche. Eine Serie von Heliumbehandlungen ist geplant, um ein optimiertes und sicheres Rezept für CH-Kavitäten zu finden. Die Q-E-Messung nach der Abkühlung und vor der Behandlung wird auch zeigen, ob der Leistungsgewinn durch ein Aufwärmen auf Raumtemperatur beeinträchtigt wird.
Die in dieser Arbeit skizzierte Behandlungssequenz wird für CH-Kavitäten dringend empfohlen. Das Ausheizen hat sich bei der Verringerung des Multipactings and der Güteabnahme bei hohen Feldern als wirksam erwiesen und bleibt von der anschließenden HPR unbeeinflusst. In dieser Arbeit wurden keine negativen Auswirkungen der HPR auf das Multipactingverhalten festgestellt. Anschließend wird eine CW-HF-Konditionierung durchgeführt, bis keine weitere Leistungszunahme der Kavität mehr zu verzeichnen ist.
Wenn die Kavität immer noch durch Feldemission begrenzt ist, sollte eine Wiederholung der HPR-Behandlung in Betracht gezogen werden, da bei sorgfältiger Durchführung der HPR keine der bisherig gefertigten CH-Kavitäten hierdurch begrenzt war. Es ist auch anzumerken, dass die Heliumbehandlung nur an der 360MHz CH-Kavität durchgeführt wurde, als diese eine geringe Strahlung durch Feldemission aufwies. Das Risiko des Heliumprocessing an CH-Kavitäten unter starker Feldemission ist unbekannt. Es ist zu erwarten, dass die Elektronenströme und damit die Ionenbeschusslawinen zunehmen und ein größeres Risiko für die Beschädigung von der Komponenten darstellen. Nach dem derzeitigen Kenntnisstand sollte die Heliumbehandlung nur für gut vorbereitete Kavitäten mit minimaler Feldemission in Betracht gezogen werden.
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
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.
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.
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.
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.
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.
The hepatitis B virus is one of the most common causes of virus-related chronic liver disease and remains a major global health problem affecting 296 million people worldwide. Despite an available and highly effective vaccination, hepatitis B infections lead to an annual mortality rate of approximately 0.8 million people. The global prevalence is heterogeneously distributed and reflects a high infections and chronicity, particularly in low-income countries, due to a lack of vaccination strategies, underdiagnosis and low treatment rates. A complete cure remains undiscovered to this day. Based on their genetic makeup, the virus is categorized into nine genotypes with a genetic difference of more than 8% within the sequence. In addition to their geographical distribution, hepatitis B virus genotypes also differ in terms of their clinical outcome, pathogenesis and treatment response.
The viral protein HBx is known to interact with several cellular signaling pathways and is thereby accounted as the driving force in the development of hepatitis B virus-associated pathogenesis and progression of hepatocellular carcinoma. In particular, HBx interacts with mitochondria and induces profound alterations in the mitochondrial morphology and function with a severe impact on the liver’s physiology and with an emerging role in liver-related disease progression.
This study aims to investigate the genotype-related impact of HBx with regard to their interaction with cellular signaling pathways. A particular focus was placed on mitochondria-dependent interactions and signaling pathways in order to broaden the understanding of the genetic diversity of the genotypes.
Differences between genotypes of HBx were examined and compared through in vitro experiments based on a cell culture-based system. Plasmid DNA encoding the HBx protein of the different genotypes was transiently transfected into Huh7 or HepG2 cells and examined for molecular and protein-biochemical effects on the host cell, usually 72 hours after transfection. This study focused on the most common genotypes A, B, C, D, E and G worldwide.
Based on initial kinome profiling analyses, it was found that HBx differs greatly within their genetic variants and suggests different effects on overall cell function and in particular on mitochondrial kinases. Furthermore, confocal laser scanning microscopy reveals profound HBx-mediated changes in the mitochondrial network structure, however with major differences among the different genotypes. In particular, HBx of genotypes A and G causes enormous fragmentation of mitochondrial structures, accompanied by emergent changes in mitochondrial function. Due to an increased interaction with the voltage-dependent anion channel 3, a significant loss of mitochondrial membrane potential was also observed, together with an increased radial oxygen stress level and an induction of central mitochondria-dependent inflammatory mediators. In contrast, the contribution of HBx-genotype B and E reveals only moderate effects in these regards. Using a pH-sensitive reporter system, HBx genotypes which previously indicated a strong distribution in the mitochondrial morphology and function, also showed an elevated mitophagy through the PINK1/Parkin-mediated pathway. This study provides direct evidence that HBx-mediated changes in host cell signaling pathways, especially in mitochondrial-associated pathways, fundamentally dependent on the different genotypes. In addition, the results also indicate an important role of HBx in the process of genotype-dependent liver pathogenesis and provide insight into the underlying cellular mechanisms and signaling pathways.
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.
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.
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.
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.
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.
G-protein-coupled receptors (GPCRs) from the largest family of receptors in the human body. They contain seven transmembrane helices. There are roughly 800-900 GPCR genes expressed in humans encoded by 4-5% of the human genome. These receptors are the most important signal transducers and play a crucial role in cell physiology and pathology, by using various extracellular stimuli to start complex intracellular signaling. GPCRs interact with a wide variety of stimuli from small molecules (photons, ions, amines) to large molecules (peptides, small proteins), and trigger downstream cascade effects by interacting with G-proteins, GPCR kinases, and ß-arrestin. Because of their crucial roles in many cellular functions, GPCRs are the most important drug targets for the pharmaceutical industry. Approximately 30% of the clinically approved drugs available in the market are against GPCRs. In this work achieved successful expression and purification of GPCRs from class-C and class-A families. Combined with biochemical experiments, DNP-ssNMR, and molecular simulation helped to decipher the mechanism of crosstalk between the allosteric modulator, and the orthosteric binding sites of the peptide receptor. The main findings and major highlights of this dissertation are outlined in the following paragraphs.
The calcium-sensing receptor (CaSR) belongs to the GPCR class-C family and contains a large extracellular domain. This receptor regulates Ca2+ homeostasis in blood and its absorption in the kidney and bone. To understand the molecular and structural mechanisms of these receptors their cDNAs were cloned into the pPICZ and pOET1 vectors to express them in Pichia pastoris and in Sf9 insect cells respectively. The CaSR was successfully expressed heterologously in Pichia pastoris and in the insect cell with high yield. The purified receptor purified in LMNG shows no aggregation in a monomeric state. Further optimization was performed to use it for cryo-EM sample preparation and structure determination. In 2nd part of the thesis, different mini G (mini Gs, mini Gi, mini Gqs, and mini Gsi) DNA constructs were made and expressed in E. coli. It's challenging to obtain active GPCR structures due to the instability of G-protein or G-protein-bound receptors. In this work, all mini-G proteins and chimera mini-G-protein-maltose binding protein (MBP) were cloned and expressed in E. coli and purified with a His-trap column with high purity.
In the last part of the thesis, to decipher the mechanism of allosteric modulation of orthosteric binding sites in the bradykinin receptor was produced and characterized in insect cells. Angiotensin I converting enzyme inhibitors (ACEIs), are very important drugs and are widely used for the treatment of hypertension, congestive heart failure, and diabetic neuropathy. These drugs target primarily the catalytic zinc center of the ACE. It has been shown that enalaprilat, a well-known ACEI, binds to a proposed zinc-binding site on hB1R and even directly activates the receptor. To obtain information on the influence of ACEIs on the receptor-peptide complex, and to have a better understanding of the molecular mechanism and structural plasticity of the bradykinin receptor and PAM, we used the three commercially available ACEIs captopril, enalaprilat, and lisinopril for our studies. An important result of this thesis is that though enalaprilat, captopril, and lisinopril all have similar functional properties in humans, each one regulates the orthosteric binding site of hB1R in a unique way. These findings provide atomic insights into the allosteric modulation of the bradykinin receptor. This study along with the effects of ACEI on the binding sites of receptors also deciphers the effects of the Zn2+ as well as the crosstalk between zinc binding sites and ACEI compounds. The binding of allosteric modulators induces distinct endogenous binding, which might aid in creating new possibilities in the pharmaceutical field.
Epithelial cells enable essential physiological functions, including absorption, morphogenesis, secretion, and transport. To execute these functions, epithelial cells often form three-dimensional shapes that include curved sheets of cells surrounding a pressurized fluid-filled lumen. These three-dimensional tissues (called domes) are essential for organ function, but when they are not working properly, developmental defects, inflammation, and cancer can ensue. Recently, it has been shown that the cells that form domes show active superelasticity on micropatterned plates.
We show here that the immortalized renal proximal tubule epithelial cell line, LLC-PK1, stereotypically forms tubules in 10 days. Tubule formation takes place in 4 stages. When cells are plated on a culture dish, they form a monolayer on the 1st day; on the 3rd day, three-dimensional structures are formed, called domes; and after the 4.5th day, these domes start fusing to begin the transition stage and transit to the tubule stage. At the end of the 10th day, differentiated, elongated, and matured tubes form (Figure 3.1). Therefore, tubule formation is a self-organized, stereotypic morphogenetic program under long-term, unperturbed tissue culture conditions.
We propose that tubulogenesis is a two-step process in proximal tubules by doming and wrapping. The process begins with dome formation, and as the cell layers come together in the transition stage at the edge of the dome, this leads to the formation of the lumen of the eventual tubule. We also found that F-actin provides the mechanical strength during the formation of these three-dimensional structures during tubule formation. To better understand this 4-step process on a molecular level, we performed proteomics of tubule formation to identify the different proteins that play a significant role in proximal tubule development. Importantly, we identified proximal tubule markers like synaptopondin, angiotensin 1-10, collectrin, polycystin 1, and polycystin 2. These proteins play an important role in renal tube formation and differentiation.
Cell division is carried out by highly conserved cyclin-CDK complexes, which phosphorylate various cellular components. Cyclin-CDKs act differently depending on the cell cycle phase and work cooperatively to create DNA replication and cytokinesis. Therefore, we identified that cyclin-B1, marker of proliferation Ki-67, the RAD51 recombinase, and proliferating cell nuclear antigen (PNCA) are upregulated in the monolayer stage, and the expression decreases as tubule formation takes place. The proximal tubule reabsorbs 60-65% of the glomerulus filtrate. Therefore, it requires a lot of energy generated by using the fatty acid oxidation (FAO) pathway. In our model, we found FAO expression is higher than that of the other metabolic pathways.
We found expression of an intricate protein network in mitochondria, which we interpret as a sign of mitochondrial homeostasis being vital for the FAO pathway to work. Furthermore, we also identified different types of transporters at each stage of proximal tubule formation, and we could recognize different cytoskeletal components playing a significant role in each stage of proximal tubule formation, for instance, at the monolayer stage, vimentin expression is high, and its expression is reduced as tubules form. Hence, this 2D system, at this step of characterization, seems suitable to use to study differential transport protein expression and how this might relate to physiological functions and syndromes.
Next, we inhibited different transporters using specific inhibitors and analyzed the effect on dome and tubule formation. We identified that Na+/K+ ATPase and vacuolar H+ ATPase play a significant role in the process of epithelial dynamics. Digoxin (a Na+/K+ ATPase inhibitor) treatment inhibits dome and tubule formation. Bafilomycin (a v-ATPase inhibitor) treatment demonstrated a delay in dome and tube formation. Therefore, this study shows that this 2D proximal tubule novel system can be used for screening of pharmacological leads in the context of specific aspects of kidney physiology.
Despite the recent success in growing kidney organoids, they are not well suited to investigate various pathophysiological conditions in vitro for several reasons: They grow in 3D and form a tissue that later needs to be dissected/cleared and stained to investigate pathophysiological changes. Moreover, organoids require complex and expensive protocols for generation and are challenging to use in screening approaches. Therefore, we set out to demonstrate feasibility for our 2D system using normal renal epithelial cells, which are the origin of various pathological conditions, to study pathophysiological conditions.
RNAs are key players in life as they connect the genetic code (DNA) with all cellular processes dominated by proteins. The dynamics study of RNA modifications has become an important part of epitranscriptomics field, as they are reversible and dynamically regulated far more than originally thought. Several evidences portrait a catalog of RNA modifications and their links to neurological disorders, cancers, and other diseases. Therefore, a deeper investigation of RNA modifications dynamics including their specific profile, biosynthesis, maturation and degradation is required for pioneering disease diagnostics and potential therapeutics development.
Mammalian tissues reveal diverse physiology and functions, despite sharing identical genomes and overlapping transcription profiles. So far, most research on this diversity were referred to variable transcriptomic processing among tissues and differential post-translational modifications that tune the activity of ubiquitous proteins to each tissue’s needs. However, study of epitranscriptome dynamics relevance to tissues’ functions is not yet revealed. There are a few reports on mouse RNA modification profiles, which are focused on only one type of RNA and limited types of modifications. The first part of my dissertation aims to generate a comprehensive tissue-specific as well as RNA species-specific investigation of all existing RNA modifications, as well as investigating potential codon as an effector of translation diversity among tissues. Using isotope dilution mass spectrometry, I created a library including absolute quantification of 24 tRNA modifications, and up to 22 rRNA modifications. I find an almost identical pattern of modifications in 28S- and 18S-rRNA subunits, but different levels of most modifications in 5.8S-rRNA or tRNA among highly metabolic active organs to e.g. heart or spleen. The findings suggest a high degree of similarity between quantities of modifications between presented data to all previous literature, confirming that it is a suitable model to study the tissue-based RNA modification patterns.
The most noticeable difference exhibited was tRNA modifications, which suggests a discerning tRNA engagement in translation between different organs. This can be a good start for investigation of codon bias in enriched genes of specific tRNA modifications among different tissues that may cause differential translation pattern, causing organs diversity. Moreover, 5.8S rRNA data showed an organ-specific pattern, which proposes functional diversity of this rRNA subunit among different organs. Future studies must investigate the possible implications of organ-specific 5.8S rRNA modifications functions, to elucidate the core of the observed variations.
Abundance of RNA modifications is carefully regulated in cells. Part of this regulation is achieved by activity of enzymes removing RNA modifications, named RNA erasers. Literature has provided proof of demethylation activity of AlkBH family on different types of RNA. For instance, AlkBH5 is known to remove m6A in mRNA, and both AlkBH3 and AlkBH1 are reported to demethylate m1A and m3C in tRNA. So far, RNA erasers are mainly studied in vitro and direct in vivo studies are missing.
Mass spectrometry is a promising approach in the identification and quantification of many RNA modifications. However, mass spectrometric analysis by nature, offers only a static view of nucleic acid modifications, and fails to account for their cellular dynamics. Nucleic Acid Isotope Labeling coupled Mass Spectrometry (NAIL-MS) was developed as a powerful technique which differentiates among remaining, co-transcriptional and post-transcriptional incorporation of a target RNA modification. This temporal resolution captures the dynamic nature of RNA modifications, and offers absolute and relative quantification of all existing nucleosides in any given RNA sequence, including different isotopologues and isotopomers.
The objective of this study was to uncover the first “direct” iv vivo data on AlkBH1, 3 and 5 activities in demethylating each of their specific substrates. I investigated the RNA modification changes through pulse-chase experiments in collaboration with my colleagues Dr. Kayla Borland and Dr. Felix Hagelskamp. A remarkable observation was that AlkBH3 protein -but not AlkBH1- was overexpressed under methylating reagent treatment in vivo. These findings suggest that AlkBH3 -but not AlkBH1- is a methylation damage induced enzyme, that potentially triggers ASCC-AlkBH3 alkylation repair complex after aberrant methylation damage by MMS treatment. However, using NAIL-MS method, we could not detect any significant effect on demethylation activity of the enzymes in tRNA, rRNA or mRNA towards the possible substrates m6A, m1A, m3C, m5C and m7G in vivo. These distinct outcomes can be partially explained by probable existence of other unidentified demethylases that compensate for AlkBHs demethylation activity; or more probably, demethylation may still arise by remaining active AlkBHs to restore the original levels of the observed RNA modifications, since a stronger KD or a complete knockout of AlkBHs genes was not possible. Further research on fully knocked out AlkBHs genes can provide stronger evidence on unidentified demethylation activities in HEK cells.
Neutron stars are unique laboratories for the investigation of the high density properties of bulk matter. In this work, the astrophysical constraints for a phase transition from hadronic matter to deconfined quark matter are examined thoroughly. A scheme for relating known astrophysical observables such as mass, radius and tidal deformability to the parameter space of such a transition is devised and applied to the set of data currently available.
In order to span a wide parameter space, a highly parameterizable relativistic mean field equation in compliance with chiral effective field theory results is used, where the stiffness of the equation of state can be varied via the effective mass at saturation density. The phase transitions are modelled using a Maxwell construction and assumed to be of first order, with a constant speed of sound quark matter model. The resulting equations of state are analyzed and divided into four categories, which can be used to constrain the parameter space that allows phase transition. It is highlighted, that a subset of this parameter space would even be detectable without the need of higher precision measurements. A phase transition at high densities is shown to be particularly promising in this regard. Finally, the groundwork is laid to apply the equation of state used in this work for supernova or merger simulations, by extending it to non-zero temperatures.
RNA research is very important since RNA molecules are involved in various gene regulatory mechanisms as well as pathways of cell physiology and disease development.1 RNAs have evolved from being considered as carriers of genetic information from DNA to proteins, with the three major types of RNA involved in protein synthesis, including messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA).2 In addition to the RNAs involved in protein synthesis numerous regulatory non-coding RNAs (ncRNAs) have been discovered in the transcriptome. The regulatory ncRNAs are classified into small ncRNAs (sncRNAs) with transcripts less than 200 nucleotides (nt) and long non-coding RNAs (lncRNAs) with more than 200 nt.3
LncRNAs represent the most diverse and versatile class of ncRNAs that can regulate cellular functions of chromatin modification, transcription, and post-transcription through multiple mechanisms.4 They are involved in the formation of RNA:protein, RNA:RNA and RNA:DNA complexes as part of their gene regulatory mechanism.4,5 The RNA:DNA interactions can be divided into RNA:DNA heteroduplex formation, also called R-loops, and RNA:DNA:DNA triplex formation. In triplex formation, RNA binds to the major groove of double-stranded DNA through Hoogsteen or reverse Hoogsteen hydrogen bonding, resulting in parallel or anti-parallel triplexes, respectively. In vitro studies have confirmed the formation of RNA:DNA:DNA triplexes.6 However, the extent to which these interactions occur in cells and their effects on cellular function are still not understood, which is why these structures are so exciting to study (Chapter I RNA:DNA:DNA Triplexes).
This cumulative thesis investigates several functional and regulatory important RNAs. The first project involves the improved biochemical and biophysical characterization of RNA:DNA:DNA triplex formation between lncRNAs of interest and their target genes. Triplex formation was confirmed by a series of experiments including electromobility shift assays (EMSA), thermal melting assays, circular dichroism (CD), and liquid state nuclear magnetic resonance (NMR) spectroscopy. The following is a summary of the main findings of these publications.
In research article 5.1, the oxygen-sensitive HIF1α-AS1 was identified as a functionally important triplex-forming lncRNA in human endothelial cells using a combination of bioinformatics techniques, RNA/DNA pulldown, and biophysical experiments. Through RNA:DNA:DNA triplex formation, endogenous HIF1α-AS1 decreases the expression of several genes, including EPH receptor A2 (EPHA2) and adrenomedullin (ADM), by acting as an adaptor for the repressive human silencing hub (HUSH) complex, which has been studied by our collaborators in the groups of Leisegang and Brandes.
2) Triplex formation between HIF1α-AS1 and the target genes EPHA2 and ADM was investigated in biochemical and biophysical studies. The EMSA results indicated that HIF1α-AS1 forms a low mobility RNA:DNA:DNA triplex complex with the EPHA2 DNA target sequence. The CD spectrum of the triplex showed distinct features compared to the EPHA2 DNA duplex and the RNA:DNA heteroduplex. Melting curve analysis revealed a biphasic melting transition for triplexes, with a first melting point corresponding to the dissociation of the RNA strand with melting of the Hoogsteen hydrogen bonds. The second, higher melting temperature corresponds to the melting of stronger Watson-Crick base pairing. Stabilized triplexes were formed using an intramolecular EPHA2 DNA duplex hairpin construct in which both DNA strands were attached to a 5 nucleotide (nt) thymidine linker. This approach allowed improved triplex formation with lower RNA equivalents and higher melting temperatures. By NMR spectroscopy, the triplex characteristic signals were observed in the 1H NMR spectrum, the imino signals in a spectral region between 9 and 12 ppm resulting from the Hoogsteen base pairing. To elucidate the structural and sequence specific Hoogsteen base pairs 2D 1H,1H-NOESY measurements of the EPHA2 DNA duplex and the HIF1α-AS1:EPHA2 triplex were performed. The 1H,1H-NOESY spectrum of the HIF1α-AS1:EPHA2 triplex with a 10-fold excess of RNA was semi-quantitatively analyzed for changes in the DNA duplex spectrum. We discovered, strong and moderate attenuation of cross peak intensities in the imino region of the NOESY spectrum. This attenuation was proposed to result from weakening of Watson-Crick base pairing by Hoogsteen hydrogen bonding induced by RNA binding. The Hoogsteen interactions can be mapped based on the analysis of the cross peak attenuation in the NOESY spectra, which we used to generate a structural model of the RNA:DNA:DNA triplex. These biophysical results support the physiological function of HIF1α as a triplex-forming lncRNA that recruits the HUSH-epigenetic silencing complex to specific target genes such as EPHA2 and ADM, thereby silencing their gene expression through RNA:DNA:DNA triplex formation.
In the recent past, we are making huge progress in the field of Artificial Intelligence. Since the rise of neural networks, astonishing new frontiers are continuously being discovered. The development is so fast that overall no major technical limits are in sight. Hence, digitization has expanded from the base of academia and industry to such an extent that it is prevalent in the politics, mass media and even popular arts. The DFG-funded project Specialized Information Service for Biodiversity Research and the BMBF-funded project Linked Open Tafsir can be placed exactly in that overall development. Both projects aim to build an intelligent, up-to-date, modern research infrastructure on biodiversity and theological studies for scholars researching in these respective fields of historical science. Starting from digitized German and Arabic historical literature containing so far unavailable valuable knowledge on biodiversity and theological studies, at its core, our dissertation targets to incorporate state-of-the-art Machine Learning methods for analyzing natural language texts of low-resource languages and enabling foundational Natural Language Processing tasks on them, such as Sentence Boundary Detection, Named Entity Recognition, and Topic Modeling. This ultimately leads to paving the way for new scientific discoveries in the historical disciplines of natural science and humanities. By enriching the landscape of historical low-resource languages with valuable annotation data, our work becomes part of the greater movement of digitizing the society, thus allowing people to focus on things which really matter in science and industry.
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.
Seed dispersal is a key ecosystem function for plant regeneration, as it involves the movement of seeds away from the parental plants to particular habitats where they can germinate and transition to seedlings and ultimately adult plants. Seed dispersal is shaped by a diversity of abiotic and biotic factors, particularly by associations between plants and climate and between plants and other species. Due to the ongoing loss of biodiversity and changing global conditions, such interactions are prone to change and pose a severe threat to plant regeneration. One way to address this challenge is to study associations between plant traits and abiotic and biotic factors to understand the potential impacts of global change on plant regeneration. Plant communities have long been analyzed through the lens of vegetative traits, mainly ignoring how other traits interact and respond to the environment. For instance, while associations between vegetative traits (e.g., specific leaf area, leaf nitrogen content) and climate are well studied, there are few case studies of reproductive traits in relation to trait-environment associations in the context of global change.
Thus, the overarching aim of this dissertation is to explore how trait-environment associations, with a special focus on reproductive traits, can improve our understanding of the effect that global change may have on seed dispersal, and ultimately on plant regeneration. To this end, my research focuses on studying associations between plant traits and abiotic and biotic factors along an elevational gradient in both forests and deforested areas of tropical mountains. This dissertation addresses three principal research objectives.
First, I investigate the extent to which reproductive (seed and fruit traits) and vegetative traits (leaf traits) are related to abiotic and biotic factors for communities of fleshy-fruited plants in the Ecuadorian Andes. I used multivariate analyses to test associations between four (a)biotic factors and seven reproductive traits and five vegetative traits measured on 18 and 33 fleshy fruited plant species respectively. My analyses demonstrate that climate and soil conditions are strongly associated with the distribution of both reproductive and vegetative traits in tropical tree communities. The production of “costly” vs. “cheap” seeds, fruits and leaves, i.e., the production of few rewarding fruits and acquisitive leaves versus the production of many less-rewarding fruits and conservative leaves, is primarily limited by temperature, whereas the size of plant organs is more related to variation in precipitation and soil conditions. My findings suggest that associations between reproductive and vegetative traits and the abiotic environment follow similar principles in tropical tree communities.
Second, I assess how climate and microhabitat conditions affect the prevalence of endozoochorous plant species in the seed rain of tropical montane forests in southern Ecuador. I analyzed seed rain data for an entire year from 162 traps located across an elevational gradient spanning of 2000 m. I documented the microhabitat conditions (leaf area index and soil moisture next to each seed trap) at small spatial scale as well as the climatic conditions (mean annual temperature and rainfall in each plot) at large spatial scale. After a one-year of sampling, I counted 331,838 seeds of 323 species/morphospecies. My analyses demonstrate that the prevalence of endozoochorous plant species in the seed rain increases with temperature across elevations and with leaf area index within elevations. These results show that the prevalence of endozoochory is shaped by the interplay of both abiotic and biotic factors at large and small spatial scales.
Third, I examine the potential of seed rain to restore deforested tropical areas along an elevational gradient in southern Ecuador. For this chapter, I collected seed rain using 324 seed traps installed in 18 1-ha plots in forests (nine forest plots) and in pastures (nine deforested plots) along an elevational gradient of 2000 m. After a sampling period of three months, I collected a total of 123,039 seeds of 255 species/morphospecies from both forests and pastures along the elevational gradient. I did not find a consistent decrease in the amount and richness of seed rain between forests and pastures, but I detected a systematic change in the type of dispersed seeds, as heavier seeds and a higher proportion of endozoochorous species were found in forests compared to pastures at all elevations. This finding suggests that deforestation acts as a strong filter selecting seed traits that are vital for plant regeneration.
Understanding the role that trait-environment associations play in how plant communities regenerate today could serve as a basis for predicting changes in regeneration processes of plant communities under changing global conditions in the near future. Here, I show how informative the measurement of reproductive traits and trait environment associations are in facilitating the conservation of forest habitats and the restoration of deforested areas in the context of global change.
In view of a growing world population and the finite nature of fossil resources, the development of eco-friendly production processes is essential for the transition towards a sustainable industry. Methanol, which can be produced both petrochemically and from renewable resources, offers itself as bridging technology and attractive alternative raw material for biotechnological processes. This work describes developments for the progress of the well-studied methylotrophic α proteobacterium Methylorubrum extorquens AM1 towards an efficient methylotrophic cell factory. Although many homologous and heterologous production routes have already been described and realized for M. extorquens in a laboratory scale, no industrial process has yet been realized. Three major reasons can be identified for this: (1) A limited choice of tools for genetic modifications, (2) a lack of understanding of carbon fluxes and side reactions occurring in modified strains, such as product reimports, and (3) the lack of tailored production strains for profitable target products and optimized bioprocessing protocols. The aim of the present work was to achieve developments for the mentioned areas. As a model application, the high-level production of chiral dicarboxylic acids from the substrate methanol was chosen. Enantiomerically pure chiral compounds are of great interest, e.g., as building blocks for chiral drugs. The ethylmalonyl CoA metabolic pathway (EMCP) which is part of the primary metabolism of M. extorquens, harbors unique chiral CoA-ester intermediates. Their acid derivatives can be released by cleavage of the CoA-moiety using heterologous enzymes. The dicarboxylic acids 2 methylsuccinic acid and mesaconic acid were produced in a previous study by introducing the heterologous thioesterase YciA into M. extorquens. In the said study, a combined product titer of 0.65 g/L was obtained in shake flask experiments. These results serve as the basis for the developments in the present work.
First, the previously described reuptake of products was thoroughly investigated and dctA2, a gene encoding for an acid transporter, was identified as target for reducing the product reuptake. In addition, reuptake of mesaconic acid was prevented by converting it to (S)-citramalic acid, a product not metabolizable by M. extorquens, by the introduction of a heterologous mesaconase. Together with 2-methylsuccinic acid, for which a high enantiomeric excess of (S)-2-methylsuccinic acid was determined, a second chiral molecule was thus added to the product spectrum. For the release of dicarboxylic acid products, YciA, a broad-range thioesterase that accepts a variety of CoA-esters with different chain lengths as substrates, was chosen. The enzyme should theoretically be able to hydrolyze all CoA-esters of interest present in the EMCP. However, in culture supernatants of M. extorquens strains that were overexpressing the corresponding yciA gene, only mesaconic acid and 2 methylsuccinic acid could be detected. To expand the substrate spectrum of YciA thioesterase with respect to other EMCP intermediates, semi-rational enzyme engineering was attempted. Screening of the corresponding strains carrying the respective YciA variants did not result in strains capable of producing new dicarboxylic acid products. However, the experiments revealed an amino acid position that strongly affected the production of mesaconic acid and 2-methylsuccinic acid in vivo. By substituting the according amino acid in YciA, the maximum titers of mesaconic acid and 2-methylsuccinic acid could be increased substantially. Application of an improved thioesterase variant in a second E. coli-based process confirmed the enhanced activity of the enzyme. The desired extension of the product spectrum by another chiral molecule (2-hydroxy-3-methylsuccinic acid, presumably the (2S,3R)-form) was finally achieved by using an alternative thioesterase. Tailored fermentation strategies were developed for the high-level production of the above-mentioned products.
As second part of the work, two novel genetic tools for M. extorquens were developed and characterized. The pBBR1-derived plasmid pMis1_1B was shown to be stably maintained in M. extorquens cells. In addition, its suitability for co-transformations with other plasmids was demonstrated. The second tool, the cumate-inducible promoter Ps6, is tailored for expression of pathways with toxic products, as the transcription of genes controlled by Ps6 is strongly repressed in the absence of an inducer.
Overall, the present work demonstrates the enormous potential of using M. extorquens as a methylotrophic cell factory. In the applications shown, the biotechnological production of high-priced chiral molecules is combined with the use of an attractive alternative substrate. In addition, new achievements and approaches are presented to facilitate the development of future M. extorquens production strains.
In the past decade, the optogenetic toolbox for the manipulation of ion currents and cNMP levels in Caenorhabditis elegans (C. elegans) expanded. However, the implemented tools for cAMP generation were soluble enzymes (euPAC, bPAC, IlaC22 k27 and PaaC) and thus they do not precisely mimic physiological cAMP signalling occurring in microdomains in close proximity to the plasma membrane. Here, cAMP is predominantly generated by membrane-bound adenylyl cyclases, that are located in microdomains together with G protein-coupled receptors (GPCRs), protein kinase A (PKA) and their targets, enabling spatially and temporal regulation of cAMP signalling. For this reason, one aim of this study was to develop and implement membrane bound photoactivatable adenylyl cyclases for the manipulation of cAMP mediated signalling in close proximity to the plasma membrane. For this purpose, the guanylyl cyclase domains of the Blastocladiella and Catenaria Cyclase Opsins (CyclOps) were mutated to adenylyl cyclases either by introducing the mutations E497K and C566D (abbreviated as (A-2x)) or by the mutations E497K, H564D, and C566T (abbreviated as (A-3x)).
To determine the nucleotide specificity switch from GTP to ATP and the extent of light-dependent cAMP generation, the engineered enzymes were expressed in body wall muscle cells of C. elegans and in vitro cNMP measurements using C. elegans extracts were performed. Here, the highest levels of light induced cAMP generation during sustained stimulation (0.5 mW/mm2; 470 nm, 15 min) were detected for the variants BeCyclOp(A-2x), YFP-BeCyclOp(A-2x), and YFP-CaCyclOp(A-2x) (39, 57, 40 nM, respectively), though they did not reach the extent produced by the soluble bPAC (142 nM). In contrast, low magnitudes of generated cAMP were measured for the versions BeCyclOp(A-3x) and CaCyclOp(A-2x) (8 and 7 nM, respectively). Importantly, no obvious residual cGMP and basal activity was ascertained for any of the engineered enzymes.
To assess their potential to trigger and modulate cAMP mediated cholinergic neurotransmission, and to evaluate the influence of cytosolic and membrane proximal optogenetic cAMP generation, the enzymes were expressed in cholinergic motor neurons and compared to the implemented soluble bPAC via locomotion behaviour analysis on solid and in liquid media. Photoactivation of BeCyclOp(A-2x), YFP-BeCyclOp(A-2x), and YFP-CaCyclOp(A-2x) caused similarly enhanced or even more potent behavioural changes (swimming and crawling) as bPAC, whereas a more rapidly decaying response was observed for the bPAC evoked effects. Moreover, an increased diversity of the behavioural output was detected for cytosolic cAMP production by bPAC, i.e. increased bending angles and a decreased body length.
Confocal fluorescence microscopy was performed to examine the expression levels of YFP-tagged enzymes in cholinergic neurons, whereas both YFP-CyclOp(A-2x)s were expressed at similar levels, but 1.4-fold lower relative to the soluble bPAC-YFP. To compare the amount of light-dependent cAMP generation bPAC and BeCyclOp(A-2x) at light conditions that match the conditions of the behavioural experiments (30 s), cAMP measurements using C. elegans extracts were performed, whereas BeCyclOp(A-2x) depicted a 4-fold lower amount of optogenetic cAMP production than the soluble bPAC.
In sum, local (membrane proximal) cAMP generation by the membrane-bound photoactivatable adenylyl cyclases may more specifically activate cAMP dependent neurotransmission of cholinergic motor neurons than cytosolic cAMP generation, i.e. an increased mobilization and priming/docking of synaptic vesicles and an increased filling of the synaptic vesicles with the neurotransmitter acetylcholine and thus an increase in locomotion behaviour.
The optogenetic toolbox for the manipulation of cGMP mediated signalling in C. elegans consisted of the natural membrane-bound BeCyclOp and the artificial soluble bPGC. The latter generates cGMP with low efficiency and slow kinetics (~0.2 cGMP s-1), whereas BeCyclOp enables the production of much larger amounts of cGMP (L/D = 5000) at a high turnover rate (~17 cGMP s-1). Thus, one aim of this thesis was to implement a tool with features in between those of BeCyclOp and bPGC. Several orthologous CyclOps were assessed by Gao et al., 2015 for light-regulated cGMP production by in vitro assays based on the measurement of the cNMP content from CyclOp containing oocyte membranes. Here, CaCyclOp showed the highest ratio of light versus dark activity (L/D = 230) after BeCyclOp, and thus was selected for characterization in C. elegans...
The role of lncRNAs in the CVS and the endothelium is highly diverse and has been subject to a substantial amount of research over the last decade. The identification of lncRNAs as clinically relevant biomarkers and as co-regulatory molecules let to the appreciation of the functional relevance of lncRNAs.
In the present study, LINC00607 was identified as an endothelial-enriched, human-specific lncRNA. With its distinct functions, LINC00607 maintains and supports the endothelial homeostasis especially in response to VEGF-A signalling.
In the first part of this study, LINC00607 was functionally characterized in human endothelial cells. LINC00607 is highly and specifically expressed in endothelial cells and is differentially regulated in CVDs. Depletion of LINC00607 resulted in decreased angiogenic sprouting, reduced integration of ECs in a newly formed vascular network in vivo, enhanced endothelial migration and differential expression of many important genes for endothelial cell homeostasis. Functionally, LINC00607 maintains ERG-driven endothelial gene expression programs through BRG1. BRG1 secures stably accessible enhancer regions as well as TSS of ERG target genes, thus enabling transcription of endothelial gene programs.
The second part of this study proposes an additional mode of action for LINC00607. The strongly impaired response to VEGF-A after LINC00607 KO can only be partially explained by its’ expression control of ERG target genes. It rather appears that LINC00607 is involved in the control of alternative splicing of VEGF receptor FLT1. The differential splicing of FLT1 produces the anti-angiogenic soluble isoform of FLT1. Even though further validation is needed to uncover the underlying mechanism, there is the potential of a more general role of LINC00607 in splicing control through BRG1. As AS of FLT1 is a clinical marker in preeclampsia, LINC00607 might qualify to be an additional marker for the onset and manifestation of the pregnancy disorder.
Taken together, LINC00607 is a target in future for molecular therapy in CVD to restore a healthy endothelial phenotype and has the potential to serve as a biomarker in preeclampsia.
This study examines the political contestation among Malay Professional Satirists (MPS) through their selected political satire works between 2011-2018. Political satire challenges those in power and is often regarded as fake news and libel. Therefore, political satirists tend to be frequently subject to legal action and are accused of disrupting national harmony. However, there is another group within the social and cultural community, which I call Social and Cultural Professionals (SCP), who also use satire but are supported by the government. This group frequently received financial benefits from the state and are at lower risk of suffering legal consequences. These contrasting conditions raise several important questions: who are the Malaysian Professional Satirists? Who are the targets of MPS in their satirical work? Why do MPS satirise them? And why do the MPS still produce political satire despite the potential legal consequences? Therefore, this study attempts to identify the characters, themes, and issues the MPS highlight; it also considers the reasons and motivations that political satirists have for creating such allegedly controversial works. Malaysia’s Reformasi movement and the booming use of the internet in 1998 mobilised multiple alternative social movements, mainly through art-related activities. Art workers, NGOs, as well as musical and cultural groups, protested creatively against the UMNO-BN ruling regime. Creative protests that employed satire and humour somehow succeeded in attracting a significant proportion of the public to follow political and current issues, especially youths in universities who had been depoliticised with the inception of the University and University College Act (AUKU 1979). This study establishes a point of view that political satire is a fun, loose, free form of resistance, contrasting with formal procedural democracy. The previous literature proposes that the study of Malaysia’s political system should focus on formal political procedures, especially election and representation. However, the study of political satire vis-à-vis democratisation is often neglected and thus such studies are scarce, which might have resulted from how satire is strictly discussed in terms of language and media. There has been a growing interest in how satirist and satirical works are regarded; hence, this study attempts to fill a gap in research on political satire in Malaysia. In contrast, democratisation is often discussed in terms of history, politics, anthropology, sociology, and economics. This qualitative study presents a comprehensive account of interviews with four (4) art workers identified as MPS, as based on appropriate criteria. Each informant had either partaken in alternative social movements or faced legal action from authorities or, indeed, both. In this study, the Theory of Contestation and Two-Social Reality serves as a primary framework to lead to an understanding of the contestation of power in Malaysia through political satire. This study further intends to broaden the knowledge of political satire and humour in the study of democratisation, adding to the existing literature, particularly outside formal political procedures.
"Autonomy is the condition under which what one does reflects who one is" (Weinrib, 2019, p.8). This quote encapsulates the core idea of autonomy, namely the correspondence of one’s inner values with one’s actions. This is a beautiful idea. After all, who wants their actions to be determined or controlled from the outside?
The classical definition of autonomy is precisely about this independence from external circumstances, which Murray (1938) primarily coined. Among other things, Murray characterizes autonomy as resistance to influence and defiance of authority. Similarly, Piaget (1983) describes individuals as autonomous, independent of external influences, in their thinking and actions, and foremost, adult authority. Subsequent work criticized this equation of autonomy with separation or independence (Bekker, 1993; Chirkov et al., 2003; Hmel & Pincus, 2002). In lieu thereof, autonomy is defined as an ability (Chirkov, 2011; Rössler, 2017) and as an essential human need (Ryan & Deci, 2006). Focus is now
on self-governing while relying on rationally determined values to pursue a happy life (Chirkov, 2011). According to Social Determination Theory (SDT), autonomy is about a sense of initiative and responsibility for one’s own actions. The experience of interest and appreciation can strengthen autonomy, whereas experiences of external control, e.g., through rewards or punishments, limit autonomy (Ryan & Deci, 2020). In the psychological discourse of autonomy, SDT is strongly represented (Chirkov et al., 2003; Koestner & Losier, 1996; Weinstein et al., 2012). Notably, SDT distinguishes between autonomy and independence as follows. While a person can autonomously ask for help or rely on others, a person can also be involuntarily alone and independent. Interestingly, these definitions are again closer to its etymological meaning as self-governing, originating from Greek αυτòνoμζ (autonomous).
The two strands of autonomy as independence and autonomy as self-determination are also reflected in the vital differentiation into reactive and reflective autonomy by Koestner and Losier (1996). Resisting external influence, particularly interpersonal in fluence, is what reactive autonomy entails. This interpretation is closely related to the classical concept of autonomy as separation and independence from others (Murray, 1938). On the other hand, reflective autonomy concerns intrapersonal processes, such as self-governing or self-regulation, as defined in Self-Determination Theory (Ryan et al., 2021). In this dissertation, we investigated the concept in three different approaches while focusing on its assessment and operationalization: To begin, in Article 1, we compared the layperson’s and the scientific perspective to each other to gain insight into the characteristics of autonomy. Then, in Articles 2 and 3, we experimentally tested behavioral autonomy as resistance to external influences. Simultaneously, we investigated the link between various autonomy trait measures and autonomous behavior. As a result, in Article 2, we looked at how people reacted to the effects of message framing and sender authority on social distancing behavior during the early COVID-19 pandemic. Finally, in Article 3 we investigated the resistance to a descriptive norm in answering factual questions, in the context of autonomous personality. In our first article, we used a semi-qualitative bottom-up approach to gain insights into the laypersons’ perspective on autonomy and compare it to the scientific notion. We followed a design proposed by Kraft-Todd and Rand (2019) on the term heroism. We derived five components from philosophical and psychological literature: dignity, independence from others, morality, self-awareness, and unconventionality. In three preregistered online studies, we compared these scientific components to the laypersons’ understanding of autonomy. In Study 1, participants (N = 222) listed at least three and up to ten examples of autonomous (self-determined) behaviors. Here, the participants named 807 meaningful examples, which we systematically categorized into 34 representative items for Study 2. Next, new participants (N = 114) rated these regarding their autonomy. Finally, we transferred the five highest-rated autonomy and the five lowest-rated autonomy items to Study 3 (N = 175). We asked participants to rate how strongly the items represented dignity, independence from others, morality, self-awareness, and unconventionality. We found all components to distinguish between high and low autonomy items but not for unconventionality. Thus, we conclude that laypersons’ view corresponds with the scientific characteristics of dignity, independence from others, self-awareness, and morality. A qualitative analysis of the examples also showed that both reactive and reflective definitions of autonomy are prevalent.
This work focuses on the investigation of K+, K- and ϕ-meson production in Ag(1.58 A GeV)+Ag collisions. The energetically cheapest channel for direct K+ production in binary NN-collisions NN→NΛK+ lies at exactly this energy. For the remaining K- and ϕ-mesons, an excess energy of 0.31 GeV and 0.34 GeV in the centre of mass system has to be provided by the system. This makes these particles an excellent probe for effects inside the medium.
K+ and K- mesons can be reconstructed directly as they possess a cτ of approximately 3.7 m. Using the approximately 3 billion recorded Ag(1.58 A GeV)+Ag 0-30% most central collision events, all reconstructed K+ and K- within the detector acceptance are investigated for their kinematic properties and their particle production rates compared to a selection of existing models.
This cumulative dissertation contains four self-contained chapters on stochastic games and learning in intertemporal choice.
Chapter 1 presents an experiment on value learning in a setting where actions have both immediate and delayed consequences. Subjects make a series of choices between abstract options, with values that have to be learned by sampling. Each option is associated with two payoff components: One is revealed immediately after the choice, the other with one round delay. Objectively, both payoff components are equally important, but most subjects systematically underreact to the delayed consequences. The resulting behavior appears impatient or myopic. However, there is no inherent reason to discount: All rewards are paid simultaneously, after the experiment. Elicited beliefs on the value of options are in accordance with choice behavior. These results demonstrate that revealed impatience may arise from frictions in learning, and that discounting does not necessarily reflect deep time preferences. In a treatment variation, subjects first learn passively from the evidence generated by others, before then making a series of own choices. Here, the underweighting of delayed consequences is attenuated, in particular for the earliest own decisions. Active decision making thus seems to play an important role in the emergence of the observed bias.
Chapter 2 introduces and proves existence of Markov quantal response equilibrium (QRE), an application of QRE to finite discounted stochastic games. We then study a specific case, logit Markov QRE, which arises when players react to total discounted payoffs using the logit choice rule with precision parameter λ. We show that the set of logit Markov QRE always contains a smooth path that leads from the unique QRE at λ = 0 to a stationary equilibrium of the game as λ goes to infinity. Following this path allows to solve arbitrary finite discounted stochastic games numerically; an implementation of this algorithm is publicly available as part of the package sgamesolver. We further show that all logit Markov QRE are ε-equilibria, with a bound for ε that is independent of the payoff function of the game and decreases hyperbolically in λ. Finally, we establish a link to reinforcement learning, by characterizing logit Markov QRE as the stationary points of a game dynamic that arises when all players follow the well-established reinforcement learning algorithm expected SARSA.
Chapter 3 introduces the logarithmic stochastic tracing procedure, a homotopy method to compute stationary equilibria for finite and discounted stochastic games. We build on the linear stochastic tracing procedure (Herings and Peeters 2004), but introduce logarithmic penalty terms as a regularization device, which brings two major improvements. First, the scope of the method is extended: it now has a convergence guarantee for all games of this class, rather than just generic ones. Second, by ensuring a smooth and interior solution path, computational performance is increased significantly. A ready-to-use implementation is publicly available. As demonstrated here, its speed compares quite favorable to other available algorithms, and it allows to solve games of considerable size in reasonable times. Because the method involves the gradual transformation of a prior into equilibrium strategies, it is possible to search the prior space and uncover potentially multiple equilibria and their respective basins of attraction. This also connects the method to established theory of equilibrium selection.
Chapter 4 introduces sgamesolver, a python package that uses the homotopy method to compute stationary equilibria of finite discounted stochastic games. A short user guide is complemented with discussion of the homotopy method, the two implemented homotopy functions logit Markov QRE and logarithmic tracing, and the predictor-corrector procedure and its implementation in sgamesolver. Basic and advanced use cases are demonstrated using several example games. Finally, we discuss the topic of symmetries in stochastic games.
This cumulative dissertation examines learning in chemistry laboratories, focusing on the challenges and benefits of problem-based learning (PBL) for novices in the lab. It addresses the lack of consistent understanding about what should be learned in labs and why it's important. The research aims to understand what students learn, how they learn, and how lab learning can be improved.
A central concept in PBL labs is Information Literacy, defined as a sociocultural practice enabling learners to identify and use information sources within a specific context as legitimized by the practice community.
The first publication, Wellhöfer and Lühken (2022a), investigates the relationship between PBL and learner motivation. It identifies factors that can foster students' intrinsic motivation in a PBL lab. Autonomy is found to be a key factor, increasing student motivation and presenting a model of the autonomous scientific process. This model involves four steps: information acquisition, designing and applying experimental procedures, experimental feedback, and autonomous process optimization. The results suggest that intrinsic motivation in PBL labs can be enhanced by enabling students to independently execute these steps.
The second publication, Wellhöfer and Lühken (2022b), examines the information process students undergo during their first PBL lab. Using a sociocultural framework, it explores Information Literacy to understand students' handling of information and their perceptions of the information process. The findings reveal that in PBL labs, developing a practical, applicable experimental procedure is crucial for problem-solving and significantly shapes the information-acquisition process. This process is iterative, influenced by new information, leading to more precise information needs. Students assess information quality based on its usefulness for their problem, implementability (considering cognitive understanding, available equipment, and psychomotor skills), and safety.
Furthermore, the role of privileged knowledge forms in evaluating the quality of text sources is explored. Students viewed non-scientific sources as "poor" and scientific sources as "good," yet used both for information gathering. There were discrepancies between their assessment of source quality and actual use, indicating that perception of source quality doesn't always affect their practical decisions.
The third publication, Wellhöfer, Machleid, and Lühken (2023), investigates students' information practices in the lab, focusing on discourse between novice learners and experienced assistants. It shows that theoretical knowledge isn't sufficient for independent practical action, and students need actionable social information from experienced community members. The results highlight that information literacy in the lab for newcomers to a community of practice has distinctive features, and physical experience and tacit knowledge are crucial for learning the methods and group-specific knowledge of the practice community. The article demonstrates how learning information literacy in a practice community requires a social and physical experience and provides insights on how educators can support this process.
Mechanistic characterization of photoisomerization reactions in organic molecules and photoreceptors
(2023)
In dieser Arbeit wurden verschiedene Einflüsse auf die Dynamik von Photoisomerisierungen in Phytochromen und indigoiden Photoschaltern untersucht. Beide Forschungsgebiete teilen wesentliche Aspekte wie die Kontrolle durch sterische Wechselwirkungen und den starken Einfluss der Polarität oder der ionischen Umgebung.
Auf dem Gebiet der Phytochrome wurde die relative Positionierung der knotenlosen Phytochrome innerhalb der Superfamilie der Phytochrome in Bezug auf ihre Photodynamik und den Effekt von Grundzustandsheterogenität herausgearbeitet. Es wurde anhand von ultraschnellen, zeitaufgelösten Anrege-Abtast-Experimenten der einzelnen GAF-Domäne All2699g1 im Vergleich mit dem vollständigen knotenlosen Phytochrom All2699g1g2 und dem strukturell ähnlichen knotenlosen Phytochrom SynCph2 gezeigt, dass knotenlose Phytochrome in ihrer Vorwärtsdynamik eine komplexe mehrphasige Kinetik mit einem langlebigen angeregten Zustand (~100 ps) aufweisen. Die beobachtete mehrphasige Kinetik konnte einer initialen Chromophordynamik sowie einer nicht exponentiellen Reorganisation der chromophor-umgebenden Proteinmatrix zugeordnet werden. Dies steht im starken Kontrast zur im Gebiet der Phytochrome etablierten Beschreibung derartiger mehrphasiger Kinetiken mittels heterogener Grundzustände. Stattdessen wurde ein konserviertes kinetisches Muster identifiziert, welches die mehrphasige Dynamik beschreibt und in allen in dieser Arbeit untersuchten Phytochrome beobachtet wurde. Zudem konnte dieses Muster in einem Phytochrom der Gruppe I und einem Phytochrom der Gruppe III, die einen ähnlichen Pr Dunkelzustand aufweisen, gezeigt werden, was eine breite Anwendbarkeit des damit verbundenen Mechanismus vermuten lässt. Weiterhin konnte die zentrale Rolle eines konservierten Tyrosins in der Photoisomerisierung anhand von Mutationsstudien in All2699g1 herausgearbeitet werden. Diese konservierte Aminosäure muss im Rahmen der Reorganisation der Proteinmatrix vom Chromophor weggezogen werden, damit die sterische Blockade abgebaut werden kann, die die Isomerisierung des Chromophors zunächst verhindert. Da diese Bewegung von diversen Faktoren in der den Chromophor umgebenden Proteinmatrix abhängt, weist sie eine nicht exponentielle Kinetik auf, die je nach Phytochrom, der spezifischen Flexibilität und dem vorhandenen Raum in der Bindetasche unterschiedliche Lebenszeiten aufweist.
Die Rückreaktion knotenloser Phytochrome konnte ebenfalls im Rahmen dieser Arbeit charakterisiert werden, welche im Pikosekundenbereich abläuft, und damit signifikant schneller ist als die Vorwärtsreaktion. Im Gegensatz zur Vorwärtsreaktion nimmt Grundzustandsheterogenität in der Rückreaktion eine weitaus bedeutendere Rolle ein. Hier weisen die in All2699g1 vorhandenen heterogenen Grundzustandspopulationen jeweils eine eigene Kinetik ihres angeregten Zustands auf, während die homogenen Grundzustände von All2699g1g2 und SynCph2 jeweils nur einen Zerfall des angeregten Zustands zeigen. Der Ursprung dieser Heterogenität konnte im Wasserstoffbrückennetzwerk des Chromophors lokalisiert und mit dem konservierten Tyrosin und einem konservierten Serin in der PHY-Domäne verknüpft werden. Die Anwesenheit der PHY-Domäne sorgt demnach für eine Verringerung der Grundzustandsheterogenität und des vorhandenen Raums in der Bindetasche, wodurch die Effizienz der Photoreaktion optimiert wird.
Zuletzt konnte die Millisekundendynamik knotenloser Phytochrome und der Einfluss der PHY-Domäne auf diese aufgeklärt werden. Die PHY-Domäne sorgt hierbei durch den verringerten Raum in der Bindetasche dafür, dass die zunächst stattfindende thermische Relaxation des Chromophors signifikant verlangsamt wird, während spätere Änderungen im Photozyklus nur wenig beeinflusst werden.
Auf dem Gebiet der indigoiden Photoschalter konnte, anhand eines sterisch überladenen Hemithioindigo Photoschalters, der Photoisomerisierungsmechanismus des Hula-Twists beobachtet und eine starke Lösungsmittelabhängigkeit der entsprechenden Kinetik aufgezeigt werden. Aus den durchgeführten zeitaufgelösten Anrege-Abtast-Experimenten in verschiedenen Lösungsmitteln konnte ein Modell für die Photodynamik des verwendeten Hemithioindigo Photoschalters entwickelt werden. In unpolaren Lösungsmitteln muss eine hohe Barriere zur produktiven konischen Durchschneidung überwunden werden, was zu Lebenszeiten des angeregten Zustands im Nanosekundenbereich führt. Der Weg zur produktiven konischen Durchschneidung folgt dabei dem Hula-Twist Mechanismus. Dieser Pfad ist in polaren Lösungsmitteln unerreichbar, weshalb eine schnelle Relaxation über eine unproduktive konische Durchschneidung stattfindet.
Im zweiten Projekt auf dem Gebiet der indigoiden Photoschalter wurde anhand der neuartigen Klasse der Iminothioindoxyl Photoschalter ein Schwingungsenergiedonor für Schwingungsenergietransferstudien entwickelt. Das daraus entwickelte Modellsystem, bestehend aus einer künstlichen Aminosäure auf Basis des Iminothioindoxyl Photoschalters und einem daran gekoppelten Schwingungsenergiesensor, wurde charakterisiert und die primäre Photoreaktion untersucht. Es konnte gezeigt werden, dass der angeregte Zustand des Modellsystems kurzlebig ist und unter Abgabe von großen Mengen an Schwingungsenergie zerfällt, unabhängig von der Anregungswellenlänge und dem verwendeten Lösungsmittel. Somit zeigt das entwickelte System vorteilhafte Eigenschaften für Schwingungsenergietransferstudien.
Insgesamt konnten somit die Mechanismen der Photoisomerisierungsreaktionen in knotenlosen Phytochromen und indigoiden Photoschaltern aufgeklärt und daraus die Relevanz der Umgebung für derartige Reaktionen herausgearbeitet werden.
Our mind has the function of representing the physical and social world we are in, so that we can efficiently interact with it. This results in a constant and dynamic interaction between mind and world that produces a balance when representations are at the same time accurate with respect to what the world is communicating to our organism, but also compatible with how our mind works.
A paradigmatic case of this interaction is offered by perception, which is the mental function that represents contingent aspects of the world built from what is captured by our senses. Indeed, the dominant philosophical view in cognitive science is that our perceptual states are representations of the world and not direct access to that world. These representational perceptual states therefor include the aspects of the world they represent and that initiate the perception by stimulating our sensory organs.
Perceptual representations are built using information from the sensory system, i.e., bottom-up information, but are also integrated with information previously acquired, i.e., top-down information, so that perception interacts with memory through language and other mental functions. Such organization is believed to reflect a general mechanism of our mind/brain, which is to acquire and use information to make efficient predictions about the future, continuously updating older information with present information.
This predictive processing works because the world is not random, but shows a regular structure from which reliable expectations can be built. One way that our minds make these predictions is by adapting to the structure of the world in an implicit, automatic and unconscious way, a process that has been called Implicit Statistical Learning (ISL). ISL is a learning process that does not require awareness and happens in an incidental and spontaneous way, with mere exposure to statistical regularities of the world. It is what happens when we learn a language during early childhood, and that allows us to be implicitly sensitive to the phonological structure of speech, or to associate speech patterns with objects and events to learn word meaning.
A specific case of ISL is the learning of spatial configuration in the visual world, which we apply to abstract arrays of items, but most importantly, also to more ecological settings such as the visual scenes we are immersed in during our everyday life. The knowledge we acquire about the structure of visual scenes has been called “Scene Grammar”, because it informs about presence and position of objects in a similar way to what linguistic grammar tells us about the presence and position of words. So, we implicitly acquire the semantics of scenes, learning which objects are consistent with a certain scene, as well as the syntax of scenes, learning where objects are positioned in a consistent way within a certain scene.
More recent developments have proposed that scene grammar knowledge might be organized based on a hierarchical system: objects are arranged in the scene, which offers the more general context, but within a scene we can identify different spatial and functional clusters of objects, called “phrases”, that offer a second level of context; within every phrase, then, objects have different status, with usually one object (“anchor object”) offering strong prediction of where and which are the other objects within the phrase (“local objects”). However, these further aspects of the organization of objects In scenes remain poorly understood.
Another problem relates to the way we measure the structure of scenes to compare the organization of the visual world with the organization in the mind. Typically, to decide if an object appears or not in a certain scene, and whether or not it appears in a certain position within a scene, researchers based their decision on intuition and common-sense, maybe validating those decisions with independent raters. But it has been shown that often these decisions can be limited and more complex information about objects’ arrangement in scenes can be lost.
A potential solution to this problem might be using large set of real-world images, that have annotations and segmentations of objects, to measures statistics about how objects are arranged in the environment. This idea exploits the nowadays larger availability of this kind of datasets due to increasing developments of computer vision algorithms, and also parallels with the established usage of large text corpora in language research.
The goals of the current investigation were to extract object statistics from this image datasets and test if they reliably predict behavioural responses during object processing, as well as to use these statistics to investigate more complex aspects of scene grammar, such as its hierarchical organization, to see if this organization is reflected in the organization of objects in our mind.
IL-38 is the latest discovered cytokine of the IL-1 family and has been added to the IL-36 subfamily. Since its discovery in 2001, increasing evidence suggests predominantly anti-inflammatory properties of IL-38, which are most likely exerted through three potential receptors, the IL-1 Receptor 1 (IL-1R1), IL-36 Receptor (IL-36R) and the IL-1 Receptor Accessory Protein Like 1 (IL-1RAPL1). However, to this date detailed knowledge of IL-38 functioning remains to be examined. Importantly, how IL-38 is processed, secreted from cells and the exact mechanisms of target receptor binding and intracellular signaling are not fully understood. Further, IL-38 has been associated with regulatory functions in autoimmune diseases like systemic lupus erythematosus (SLE) and psoriasis. At the same time however, connections between B cells as indispensable part of immunity and IL-38 remain rare.
In this study we examined the influence of IL-38 in peripheral human blood B cells differentiating into antibody secreting cells using a three-step in vitro differentiation process. We first show that all potential IL-38 binding receptors are present on peripheral blood B cells on a gene expression level and remain detectable throughout B cell differentiation. Next, while B cells treated with exogenous IL-38 depict no differences in early B cell activation markers, the process of B cell differentiation revealed significant alterations in B cell phenotype created by IL-38 treatment. Predominantly on day 7 of the differentiation process, IL-38 treated B cells showed significantly reduced CD38 expression which depicts an important step in development towards plasma cells. We hypothesize that IL-38 acts antagonistically on the IL-1R1 pathway reducing Nuclear factor kappa B (NFκB) expression and consequently decreasing CD38 expression. Further IL-38 reduced early antibody production while increasing IgM secretion at the end stages of differentiation. Next, we repeated the differentiation assays under the influence of additional IL-21 stimulation to further enhance plasma cell development. In these experiments, the impact of IL-38 on B cell differentiation and immunoglobulin production were reduced, indicating a comparatively moderate relevance of IL-38 for B cell differentiation. We then examined how proliferation and cell death were impacted by exogenous IL-38 during B cell differentiation. IL-38 treatment alone significantly reduced B cell survival which was further augmented by IL-21 stimulation. We conclude that IL-38 and IL-21 act synergistically in promoting B cell apoptosis, also depicting an anti-inflammatory property of IL-38. Finally, using a siRNA we successfully performed an IL-38 knockdown experiment of human blood B cells reducing IL-38 expression to 44% measured on day 4 of B cell differentiation. In these experiments we observed reversed tendencies of CD38 expression compared to exogenous IL-38 treatment. Here, IL-38 knockdown cells showed increased CD38 expression indicating endogenous regulatory properties of IL-38 in B cell differentiation.
Our project, for the first time proves direct effects of IL-38 on human B cells. The results support previous research of IL-38 to act anti-inflammatory as it seems to modulate B cell differentiation, survival, and immunoglobulin production in a down-regulatory manner. These findings pave way for more detailed research on the connection between B cell homoeostasis and IL-38 function.
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.
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.
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.
Pericytes are capillary-associated mural cells involved in the maintenance and the stability of the vascular network. This thesis aims to investigate the role of pericytes in the heart in the context of ageing and disease. We highlight the malignant effects of the remodelling in the heart and stress the focus on the role of cardiac pericytes in this context. We show that ageing reduces pericyte coverage and that myocardial infarction (MI) causes an activation of these cells. Single-nuclei and single-cell RNA sequencing analysis of murine hearts further revealed that the expression of the Regulator of G-protein signalling 5 (Rgs5) is reduced in cardiac pericytes both in ageing and transiently at day 1 and day 3 after MI. The loss of RGS5 in pericytes drives an entropic state of these mural cells characterized by morphological changes, excessive extracellular deposition and enhanced Gaq mediated GPCR signalling. The deletion of RGS5 in pericytes causes cardiac systolic dysfunction, induces myocardial fibrosis, and drives the activation of cardiac fibroblasts in a TGFb-dependent manner. In conclusion, our results describe the importance of pericytes maintaining cardiac homeostasis, identify RGS5 as a key regulator of this process and propose pericytes as crucial mediators of cardiac fibrosis and possible therapeutic targets to prevent cardiovascular disease.
The prefrontal cortex (PFC) is considered the cognitive center of the mammalian brain. It is involved in a variety of cognitive functions such as decision making, working memory, goal-directed behavior, processing of emotions, flexible action selection, attention, and others (Fuster, 2015). In rodents, these functions are associated with the medial prefrontal cortex (mPFC). Experiments in mice and rats have shown that neurons in the mPFC are necessary for successful performance of many cognitive tasks. Moreover, measurements of neural activity in the mPFC show excitation or inhibition in different cells in relation to specific aspects of the tasks to be solved. To date, however, it is largely unknown whether prefrontal neurons are stably activated during the same behaviors within a task and whether similar aspects are represented by the same neurons in different tasks. In addition, it is unclear how specifically neurons are activated, for example, whether cells that are activated in response to reward are activated in a different task without reward in a different situation or remain inactive. To address these questions, we recorded the same neurons in the mPFC of mice over the course of several weeks while the animals performed various behaviors.
To do this, we expressed GCaMP6 in pyramidal neurons in the mPFC of mice. A small lens was implanted in the same location and a miniature microscope ("miniscope") was used to record neural activity. Later the extracted neurons got aligned based on their shape and position across multiple days and sessions. The mice performed five different behavioral tests while neural activity was measured: A spatial working memory test in a T-maze, exploration of the elevated plus maze (EPM), a novel object recognition (NO) test including free open field (OF) exploration, a social interaction (SI) test and discriminatory auditory fear conditioning (FC). Each task was repeated at least twice to check for stable task encoding across sessions. Behavioral performance and neural correlates to specific task events were similar to earlier studies across all tasks. We utilized generalized linear models (GLM) to determine which behavioral variables most strongly influence neural activity in the mPFC. The position of the mouse in the environment was found to explain most of the variance in neural activity, together with movement speed they were the strongest predictors of neural activity across all tasks. Reward time points in the working memory test, the conditioned stimulus after fear conditioning, or head direction in general were also strongly encoded in the mPFC.
Many of the recorded neurons showed a stable spatial activity profile across multiple sessions of the same task. Similarly, cells that coded for position in one task tended to code for position in other tasks. Not only did the same cells code for position across multiple tasks, but cells also coded for movement speed and head direction. This indicates that at least these general behavioral variables are each represented by the same neurons in the mPFC. Interestingly, the stability of position or speed coding did not depend on the time between two sessions, but only on whether it was within the same or across different tasks. Within the same task, stability was slightly higher than across different tasks.
To find out whether task-specific behavioral aspects were also stably encoded in the mPFC, difference scores as the difference in neural activity between two task aspects like left- and right-choice trials or exposed and enclosed locations were calculated. Many cells encoded these aspects stably across different sessions of each task. Both the left-right differences in the different phases of the working memory test, the open-closed-arm differences in the elevated plus maze, the different activity between center and corners in the open field, the social target-object differences in the social interaction test, and the differences between the two tones during fear conditioning were all stably encoded across the population of mPFC cells. Only the distinction between the novel and the familiar object during object recognition was not stably encoded, but also the preference for the novel object was not present in the second session of novel object exploration.
There was also an overlap in coding for different aspects within a task across multiple sessions. For example, cells stably encoded left-right differences in the T-maze between different sessions as a function of walking direction across different phases of working memory, an aspect that we could already show within one session (Vogel, Hahn et al., 2022). During fear conditioning, the same cells showed a discrimination between CS+ and CS- that also responded to the start of CS+.
Consistency in the neurons activity across different tasks was also found, but only between tasks with similar demands, the elevated plus-maze and free exploration of the open field. Cells that were more active in the open arms also showed more activity in the center of the open field and vice versa. This could be an indicator that the cells were coding for anxiety or exposure across those tasks, indicating that neurons in the mPFC also stably encode general task aspects independent of the specific environment. However, it remains unclear what exactly these neurons encode; in the case of a general fear signal, one would also expect activation during fear conditioning which could not be found.
Overall, we found that neurons in the mPFC of mice encoded multiple general behavioral variables across multiple tasks and task-specific variables were encoded stably within each of the tested tasks. However, we found little task-specific variables that were systematically encoded by the same neurons with the exception being the elevated plus-maze and open field exploration, two tasks with similar features.
Life and biological resilience rely on the execution of precise gene expression profiles. A key mechanism to ensure cellular homeostasis is the regulation of protein synthesis. Recent studies have unveiled an intrinsic regulatory capacity of ribosomes, previously considered mere executors of mRNA translation. Neurons in particular finely regulate protein synthesis, at both global and local levels. This sustains their complex morphology and allows them to rapidly transmit, integrate, and respond to external stimuli. In this thesis, I investigated the neuronal ribosome and how subcellular environments and physiological perturbations shape it, by profiling its molecular composition, functional interconnections, and cellular distribution.
First, I used genetic engineering, biochemical purification, and mass spectrometry, to characterize in an unbiased manner the translation machinery specifically from excitatory and inhibitory neurons of the mouse cortex. I found that neuronal ribosomes commonly interact with RNA-binding proteins, components of the cytoskeleton, and proteins associated with the endoplasmic reticulum and vesicles. In line with the requirement for local protein synthesis in the distal parts of neurons, we observed that neuronal ribosomes preferentially interact with proteins involved in cellular transport. Remarkably, I observed a strong association between ribosomes and pre-synaptic vesicles, which suggests a potential regulatory interaction between local translation and neuronal activity.
Intriguingly, I and others have observed mRNAs encoding for core ribosomal proteins (RPs) among the genes most enriched in neuronal processes. This observation challenges two historical assumptions of ribosome biology: (1) new RPs are incorporated only into newly forming ribosomes, and (2) this incorporation occurs only in the nucleus and perinuclear region. In my PhD, I aimed to directly test these two assumptions and if proven wrong ask whether and why neurons would localize RP mRNAs far from their known assembly site.
Employing a combination of metabolic labeling and highly sensitive mass spectrometry techniques, I discovered that a subset of RPs rapidly and dynamically binds on and off mature ribosomes. Strikingly, this incorporation does not depend on the supply of new ribosomes from the nucleus. Therefore, my data refuted the assumption that ribosomes are built and degraded as a unit and revealed a more dynamic view of these machines, which can actively exchange core components. In particular, I found that the association of certain exchanging RPs is influenced by location (e.g., cell body versus neurites) and cellular state (e.g., post-oxidative stress). Neurons may use this mechanism to repair and/or specialize their protein synthesis machinery in a rapid and context-dependent manner.
Finally, I asked whether some steps of ribosome biogenesis could also take place in distal processes. Although most steps of ribosome assembly occur within the nucleus, the final stages of maturation are known to occur in the cytosol. By combining several imaging and biochemical approaches, I found that cytosolic (but not nuclear) pre-ribosomal particles are present in neuronal processes. Through the incorporation of new RPs into these immature particles, neurons may be able to locally “turn on” previously incompetent ribosomes. This may enable regions near synapses to enhance and customize their translational capacity, independently of the central pool of ribosomes from the cell body. Indeed, I observed that synaptic plasticity induces a maturation of cytosolic pre-ribosomes.
In summary, this thesis shows how neuronal ribosomes can sense cellular states, respond by adjusting their core composition, and in doing so influence the local capacity for protein synthesis. By overturning long-held assumptions in ribosome biology, this work highlights new molecular mechanisms of gene expression and enriches our understanding of the rapid and dynamic strategies cells employ to operate, thrive, and adaptively respond to environmental changes.
Precise regulation of gene expression networks is required to develop and maintain a healthy organism before and after birth and throughout adulthood. Such networks are mostly comprised of regulatory proteins, but meanwhile many long non-coding transcripts (lncRNAs) are shown to participate in these regulatory processes. The functions and mechanisms of these lncRNAs vary greatly, however they are often associated with transcriptional regulation. Three lncRNAs, namely Sweetheart RNA (Swhtr), Fetal-lethal noncoding developmental regulatory RNA / Foxf1 adjacent non-Coding developmental regulatory RNA (Fendrr) and lncFsd2, were studied in this work to demonstrate the variety of cellular and biological processes that require lncRNA-mediated fine-tuning, in regard to the cardiopulmonary system.
Swhtr was found to be expressed exclusively in cardiomyocytes and became critical for regeneration after myocardial injury. Mice lacking Swhtr did not show issues under normal conditions, but failed to undergo compensatory hypertrophic remodeling after injury, leading to increased mortality. This effect was rescued by re-expressing Swhtr, demonstrating importance of the RNA. Genes dependent on Swhtr during cardiac stress were found to likely be regulated by NKX2-5 through physical interaction with Swhtr. Fendrr was found to be expressed in lung and interacted with target promoters through its RNA:dsDNA binding domain, the FendrrBox, which was partially required for Fendrr function. Fendrr, together with activated WNT signaling, regulated fibrosis related target genes via the FendrrBox in fibroblasts. LncFsd2, an ubiquitously expressed lncRNA, showed possible interaction with the striated muscle specific Fsd2, but its exact function and regulatory role remain unclear in muscle physiology. Immunoprecipitation and subcellular fractionation experiments suggest that lncFsd2 might be involved in nuclear retention of Fsd2 mRNA, thus fine-tuning FSD2 protein expression. These investigations have shed light on the roles of these lncRNAs in stress responses, fibrosis-related gene regulation, and localization processes, advancing our understanding of cardiovascular and pulmonary maintenance, reaction to injury, and diseases. The diverse and intricate roles of these three lncRNAs highlight how they influence various cellular processes and disease states, offering avenues for exploring lncRNA functions in different biological contexts.
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...
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.
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.
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.
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.
This thesis comprises the usage of two commonly known hinge-binding moieties in drug discovery. First, the quinazoline scaffold of gefitinib (5) was utilized in a macrocyclization strategy to introduce selectivity. In general, the quinazoline hinge-binding moiety is a commonly used scaffold which can be found in 14% of approved kinase inhibitors. The most familiar applications are EGFR inhibitors such as gefitinib (5), erlotinib (6), afatinib, or dacomitinib for the treatment of NSCLC. But other kinases like CDK2, CDK4, or p38 are reported targets as well.
The N-phenylquinazolin-4-amine moiety of gefitinib (5) was conserved however, the residues at the aromatic ring in the linker were modified, the residue targeting the solvent-exposed region was varied, and the linker at the C6 position of the quinazoline was adjusted to enable the macrocyclization. An overview of the structural modifications is shown in Figure 35A.
Kinome-wide screening of gefitinib (5) revealed several off-targets besides EGFR (Figure 35B), making it an excellent starting point for a macrocyclization strategy. Introducing a linker to the N phenylquinazoline-4-amine scaffold and retaining the residues on the aromatic ring as well as the methoxy group targeting the solvent-exposed region improved the selectivity profile and the efficacy towards EGFR WT and its mutants. Truncation of the linker moiety led to the mutant selective macrocycle 26f with an excellent kinome-wide selectivity profile (Figure 35B). An inhibitor that is effective on EGFR mutations while ineffective on the EGFR WT could represent an enhancement of patient treatment, as it potentially causes less side effects. Further studies could determine the effect of the most promising macrocycles in lung cancer cell lines. Additionally, the pharmacokinetic properties could be optimized, e.g. by introducing solubilizing groups, targeting the solvent-exposed region.
The second scaffold comprises the 3-aminopyrazole-based hinge-binding moiety. It is a privileged scaffold in medicinal chemistry for the development of kinase inhibitors. Previous publications report the anti-proliferative and anti-cancer potential of pyrazole-based molecules. They play a crucial role in the treatment of various diseases and cancer types like inflammation disorders, lymphoma, or breast cancer. This scaffold can be found e.g. in the aurora kinase inhibitor tozasertib or in the promiscuous kinase inhibitor 23, published by Statsuk et. al. Rescreening compound 23 in a comprehensive kinase panel against 468 human protein kinases confirmed the unselective behavior with a selectivity score of S35 = 0.56 (Figure 36B), making it a great starting point for further optimizations. The N-(1H-pyrazol-3-yl)pyrimidin-4-amine scaffold was conserved however, the residues targeting the solvent-exposed region were varied and different linkers were attached.
The introduction of different residues at the pyrazole dramatically influenced the selectivity profile of the desired kinases. Ester moieties caused to a favorable combination of selectivity and potency towards the kinase of interest CDK16. The removal of additional residues at the pyrimidine, targeting the solvent-exposed region, increased the efficiency towards CDK16. Further optimization led to the highly potent and selective CDK16 inhibitor 98d (IC50 = 33 nM). NanoBRETTM screening against the complete CDK family revealed a preferred inhibition of the PCTAIRE and PFTAIRE subfamily with cellular IC50 values of 20 nM – 120 nM and 50 nM – 180 nM, respectively. A FUCCI cell cycle assay and viability assessment of 98d confirmed previously published results, reporting a G2/M cell cycle arrest followed by apoptosis and accumulation of p27 through knockout of CDK16 in SCC cells. Consequently, further studies could evaluate the anti-tumor activity of 98d in SCC and NSCLC or elucidate the effect of 98d in AMPK-related macroautophagy. 98d represents a novel tool compound to investigate the understudied kinases of the PCTAIRE family and enable to enlighten the biological role of those kinases.
Macrocyclization of the N-(1H-pyrazol-3-yl)pyrimidin-4-amine core resulted in the selective BMPR2 inhibitor 110a. It showed a good binding affinity towards BMPR2 with a KD value of 205 nM as well as a good potency with an IC50 value of 506 nM. A comprehensive selectivity screen against 468 kinases revealed an excellent selectivity profile with S35 = 0.01. As no BMPR2 inhibitors have been published so far, 110a represents a novel compound that may provide further insights into the canonical BMP pathway, noncanonical signaling, or its impact on BMPR2-associated diseases like PAH.
The introduction of additional residues targeting the solvent-exposed region shifted the selectivity towards the MST kinases. The exchange from the pyrimidine to a quinazoline moiety resulted in the highly potent and selective macrocyclic MST3 inhibitor 113c. NanoBRETTM measurements demonstrated the preferred inhibition of MST3 with IC50 values of 210 nM and 30 nM for intact and lysed cells, respectively. A weaker activity could be seen for MST4 with 1.8 µM and 510 nM, while MST1 and MST2 were not affected. To date, no selective MST3 inhibitors have been published, making 113c a valuable tool compound for further functional studies. As MST3 is influencing the cell cycle progression, 113c could be tested in a further cell cycle assay to elucidate the inhibitory effect of 113c on MST3 and consequently on the cell cycle. Furthermore, the anti-tumor activity of 113c in breast cancer could be determined, as Madsen et. al. reported a high MST3 and MST4 activity triggered by FAM40B mutations.
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...
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.
Protein kinases are key signalling molecules and transduce intracellular signals via the post-translational phosphorylation of substrate proteins, often other protein kinases. Dysregulation of this protein family has been linked to many diseases including neurodegenerative diseases, inflammation and cancer and amplifications of kinases play important roles as diagnostic biomarkers in a variety of cancers. Various strategies have been developed to treat dysregulated protein kinases. Most commonly, chemical small molecule inhibitors are used to modulate protein kinase activity in cancer cells. Many inhibitor and general research efforts have focused only on a small subset of protein kinases, resulting in a large portion of the kinome, the so-called “dark” kinome, remaining largely unexplored. As part of the strategy to develop inhibitors, it is crucial to understand the structure-activity-relationships (SAR) of small molecules to the activity towards the targets based on understanding small molecule-target affinities as determined by biophysical, biochemical, and cellular methods. However, not always do in vitro determined affinities, which are frequently used as basis for SAR considerations, correlate with the cellular affinity. For protein kinases in particular, it has been shown that the cellular concentration of the natural substrate adenosine-triphosphate (ATP) plays a critical role for the resulting small molecule affinity, as substrate and inhibitor frequently compete for the same binding site of the protein kinase. The cellular target engagement assay NanoBRET is a versatile assay that overcomes this problem and can be used to assess binding of a compound to the full-length protein kinase, in the presence of natural binding partners. Another important factor in inhibitor optimization is the selectivity of the molecule within the family of protein kinases. When comparing the selectivity profiles of small molecule kinase inhibitors in vitro and in cells, different profiles can be observed. Frequently, a compound, binds fewer protein kinases with high affinity in cells, indicating that cellular profiling of protein kinase inhibitors is necessary to understand the selectivity profile of an inhibitor.
The goal of this work was to understand cellular SARs of inhibitors for kinases and dark kinases in medicinal chemistry projects, and to understand the selectivity profiles of existing small molecules in cells, including already approved drugs and clinically used kinases inhibitors. The cellular potency and selectivity aspects guided optimization of the inhibitors towards selective small molecules ‘chemical probes’ or highly validated inhibitors with a narrow selectivity profile as part of ‘chemogenomic libraries’. One strategy to improve selectivity has been to use sterically restricted cyclic small molecules, called macrocycles, that allow fewer conformations of the molecule than their non-cyclic parent compound. In this thesis the dark kinase STK17A was investigated. Macrocyclization was used to develop a selective chemical probe molecule that is also selective in the cellular context. For another kinase, SIK2, a rational design approach was used to exclude off-targets bound by the lead structure, resulting in a chemical probe that selectively targets the SIK1/2/3 proteins. Assessing cellular potency of another series of inhibitors, a probe was developed for the PCTAIRE subfamily of the CDK kinases. This required co-expression of the binding partners of CDKs, the cyclins, in cells to obtain a functional assay. To identify new candidates for the neglected family of splicing kinases comprising the CLK, SRPK, DYRK and HIPK protein kinase subfamilies, a literature review was conducted, and the best small molecule candidates were compared for their target engagement in cells. This led to a series of small molecule inhibitors that may be used as a set or single agents to target the CLK proteins and SRPK proteins or in combination to target the remaining proteins. In search of new starting points for this subfamily of kinases, an initial screen with NanoBRET technology was performed using a library of over 2000 inhibitors, and new starting points were identified. Additionally, a set of clinical and approved small molecule kinase inhibitors was assessed for their selectivity in cells. Several highly selective molecules were identified that were much less selective in in vitro approaches. The set of data allowed for a comprehensive comparison of cellular potencies with published data using in vitro binding, in vitro activity and data obtained from cell lysates and identified several protein kinases that would need to be investigated in cells...
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.
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.
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...
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...
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.
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.
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.
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.
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.
This thesis investigates the structure of the translocase of the outer membrane (TOM) complex in mitochondria, focusing on the TOM holo complex through single-particle electron cryo-microscopy (cryoEM) complemented by mass spectrometry and computational structure prediction. Mitochondria, crucial for energy production in eukaryotic cells, import most of their proteins from the cytoplasm. These proteins enter through the TOM complex, which in its core form consists of a membrane-embedded homodimer of Tom40 pores, two Tom22 cytoplasmic receptors, and six small TOM stabilizing subunits (Tom7, Tom6, and Tom5). The holo complex includes two additional subunits, Tom70 and Tom20, whose stoichiometry and positioning are less understood due to their easy dissociation during isolation of the complex. CryoEM analysis revealed the high-resolution structure of the Neurospora crassa TOM core complex at 3.3 Å, containing all core subunits, and the presence of a central phospholipid causing the Tom40 dimer to tilt to 20°. Furthermore, a 4 Å resolution map indicated the binding of a precursor protein as it transitions through the translocation barrel. Finally, at 6-7 Å resolution, the structure of the TOM holo complex highlighted Tom20's flexibility as it interacts with the core complex, emphasizing its role in protein translocation. This work provides significant insights into the architecture and functioning of the TOM complex, contributing to the understanding of mitochondrial protein import mechanisms.