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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.
The evolution of cell-free protein synthesis (CFPS) over recent decades has made it a widely used system for expressing membrane proteins (MPs). Unlike traditional methods, CFPS allows direct and translocon-independent expression of MPs within lipid membranes, such as liposomes or nanodiscs (NDs), without the need for detergent solubilization. This open nature of CF systems enables customization of the experimental environment, including expression conditions, choice of nanoparticles (NPs), lipid composition, and addition of stabilizing molecules.
Membrane scaffold protein (MSP)-based NDs emerged as a gold standard for cotranslational solubilization of MPs using the CF-system. This approach allowed not only biochemical characterization, but also structural studies of MPs and even GPCRs. However, to solubilize MPs inside nanoparticles via the traditional reconstitution route, apart from MSPs other scaffolds were successfully implemented, e.g. the saposin A (commercially known as Salipro) scaffold system or the synthetic styrene maleic acid lipid particles (SMALPs). In this study the potential of saposin A-based nanoparticles (SapNPs) was explored for cotranslational MP solubilization.
Three strategies for applying SapNPs in CF systems were investigated: preassembly, (i) coassembly (ii), and coexpression (iii). (i) Preassembly involved forming SapNPs before CF expression and adding them to the CF reaction. In coassembly mode SapA and lipids were mixed in the CF reaction for spontaneous assembly with the synthesized MP. In coexpression mode lipids were added to the CF reaction while coexpressing SapA with the MP target. Proteorhodopsin (PR) served as a model protein to evaluate these strategies due to its ability to oligomerize and straightforward quantification using the cofactor retinal. Preassembled SapNPs provided homogeneous, aggregate-free particles yielding up to 200 µM solubilized PR inside in the CF reaction. Coassembly was also successfully applied to produce PR/SapNP complexes at slightly lower yields, however the system was prone to produce soluble aggregates at too high PR template concentrations and overall needed more adjustments. Coexpression resulted in PR yields below 20 µM and was not considered viable for MP production. Finally, the preassembled SapNPs were used to produce functional G-protein coupled receptor probes. Despite lower overall performance compared to MSP-based systems, SapNPs showed potential as an alternative in CF systems for specific MPs.
The second optimization approach was directed at the CF lysate itself. CF synthesis for NMR analysis benefits from selective labeling schemes enabled by truncated amino acid (AA) metabolic pathways in lysates, reducing spectral ambiguity. However, residual enzymatic AA conversions persist, leading to label dilution and ambiguous NMR spectra. This study aimed to eliminate these residual activities in the E. coli A19 strain, generating optimized CF lysates for NMR applications.
The approach involved cumulative gene deletions of the most problematic scrambling enzymes. The new strain, “Stablelabel,” included deletions and modifications in genes asnA, ansA, ansB, glnA, aspC, and ilvE, effectively eliminating background activities of L-Asn, L-Asp, and conversions of L-Glu to L-Asp and L-Gln. However, residual conversion of L-Gln to L-Glu persisted due to glutaminase activity of several glutaminases using the inhibitor 6 diazo-5-oxo-L-norleucine (DON). Stablelabel showed a slightly slower growth than A19, and an overall good performance with 2.7 mg/mL GFP expressed in the reaction mixture (RM) compared to the parental A19 strain with 3.5 mg/mL. Furthermore, the strain was successfully applied to demonstrate methyl group labeling of MPs using preconverted L-val and L-leu from their respective precursors 2-ketoisovalerate and 4-methyl-2-oxovalerate.
In this study, lipid nanoparticle particle-and strain engineering vividly demonstrated the potential of CFPS systems and their versatility. While the SapNP system requires further engineering to potentially reach the efficiency of the well-studied MSP NDs, this study provides an example of nanoparticle characterization allowing new insights into NP behavior in CF systems. Furthermore, it was shown that strain engineering is a straightforward solution to tailor CF lysates to the individual requirements. After this thesis was submitted, Stablelabel in fact was successfully applied for backbone assignment of casein kinase 1, thereby demonstrating its suitability to express complex targets for NMR studies.
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.
The attention on the protein PURA has increased recently following the discovery of the rare PURA Syndrome. This neurodevelopmental disorder is caused by de novo mutations in the PURA gene. Notably, our collaborators could show that the protein PURA can bind DNA and RNA in vitro. As a result, I was motivated to explore PURA's cellular RNAbinding activity. Furthermore, I inquired on the connection of PURA-RNA binding to the cellular effect of a reduction of functional PURA as present in PURA Syndrome patients.
To investigate the binding of PURA and the impact of PURA de ciency on cellular RNA and protein expression, I performed an integrative computational analysis of multimodal data from complementary high-throughput experiments. An essential component was the examination of UV Crosslinking and immunoprecipitation (CLIP) experiments, which can query the global RNA-binding behaviour of a given protein in a cellular context. As the processing and analysis of CLIP data are rather complex, I introduce an automated command line tool for the processing of CLIP data named racoon_clip as part of this dissertation. Therefore, this dissertation comprises two major segments. Firstly, I describe the implementation and usage of racoon clip for CLIP data analysis. Secondly, I discuss my research on the protein PURA, demonstrating its global RNA-binding properties, the effects of PURA depletion and its association with neuronal functions and P-bodies, among others.
racoon_clip is a command line application that I have developed for processing of individualnucleotide resolution CLIP (iCLIP) and enhanced CLIP (eCLIP) experiments - two of the most commonly used types of CLIP experiments - in a comparable and user-friendly way.
For this, I built racoon_clip as an automated work how that encompasses all CLIP processing steps from raw data to single-nucleotide resolution crosslink events. racoon_clip is available as a command line tool that users can run with a single command. The work how is implemented with Snakemake work how management providing computational advantage tages including parallelisation, scalability and portability of the work how. The main task of racoon_clip is to extract single-nucleotide crosslink events from iCLIP, iCLIP2, eCLIP and similar data types. To strike a balance between being highly customisable and easy to use, racoon_clip supplies pre-set options for the most common types of experiments.
Additionally, it is possible for users to create a custom setup of barcode and adapter architectures, which allows them to use the software for other types of CLIP data. While accounting for the different architectures in the reads, the performed central processing steps remain the same. This leads to a high degree of comparability between the different experiment types, which I demonstrate in the exemplary processing of U2AF2 iCLIP and eCLIP data. Taken together, I am confident that racoon_clip will be beneficial to numerous researchers interested in RNA-Protein interactions as it offers easily accessible processing for CLIP data and enhances the comparability of multiple CLIP datasets across di erent experiment types.
In the second part of this dissertation, I focus on the cellular function of the RNAbinding protein PURA. Through in-depth computational analysis of one iCLIP data set of endogenous PURA and two iCLIP data sets of overexpressed PURA in HeLa cells, I establish that PURA is a global RNA-binding protein. It preferentially binds RNAs in either the coding sequence (CDS) or the 3' untranslated region (3'UTR) of mature protein-coding transcripts by recognising a Purine-rich degenerated sequence motif. Even though overexpression of PURA results in less specific binding behaviour, the same overall binding patterns as from endogenous PURA persist. Overall characteristics of PURA binding remain similar in three distinct PURA iCLIP data sets with and without PURA overexpression.
To learn about the molecular consequences of a depletion of functional PURA in a cellular context, I used a 50% reduction of PURA in HeLa cells as a model for the heterozygous loss of PURA in PURA Syndrome and evaluated its impact on global RNA and protein expression. The results demonstrate that PURA depletion globally a ects RNA and protein expression. Additionally, I integrate PURA RNA binding with the changes in expression of RNAs and proteins in the context of PURA depletion. This reveals 234 targets of PURA that are bound by PURA and are impacted at both RNA and protein levels by the PURA protein. RNAs that are bound by PURA or change in abundance upon PURA depletion are enriched in neuronal development factors, RNA lifecycle regulators, and mitochondrial factors, among others. Consistent with a possible role of PURA in neuronal transport, there is considerable overlap between PURA bound transcripts and transcripts, that are transported to the dendritic end of neurons.
Notably, there is a link between PURA and P-bodies, as documented by the enrichment of PURA-bound RNAs in both the P-body and stress granule transcriptome. Further, PURA was found by our collaborators to be localised within P-bodies and P-body numbers were strongly reduced in cells that are depleted of PURA. This absence might be attributed to the downregulation of the proteins encoded by the PURA targets LSM14A and DDX6 as both of them were previously identified as essential for P-body formation.
Overall, the reduction of P-body numbers in PURA depletion, the neuronal function of PURA, and its association with mitochondria and RNA lifecycle regulation may indicate the cellular foundation of both PURA Syndrome and related neuronal diseases.
In summary, I present a versatile and user-friendly computational tool for the analysis of CLIP data. Subsequently, I conduct a thorough computational analysis of CLIP and other high-throughput data in the context of the RNA-binding protein PURA, which offers valuable insights into the cellular functions of PURA. These insights advance our understanding of the impact of PURA loss in PURA Syndrome and other disease contexts.
Background: In the Computer Tomography imaging, examinations for the diagnosis of lesions of the upper abdomen currently use water-soluble, iodinated, non-ionic contrast agents with low molecular weight. One possibility to reduce the time of the examination and X-ray exposure is to increase the injection rate. However, higher injections rates lead to increased hypersensitivity reactions and extravasation rates. Furthermore, cardiac pump function does not always allow for the transportation of such a large volume within one heartbeat. With a contrast agent of higher iodine concentration, the injection rate may be reduced without decreasing the iodine delivery rate while reducing the volume load of the heart.
Aim: to compare the performance and image quality of two injection protocols of contrast medium for multiphasic CT imaging of malignant hepatic lesions; one using Imeron 300 at an injection rate of 5 ml/ sec and the second using Imeron 400 at an injection rate of 3,7 ml/ sec, for multiphasic CT imaging of malignant hepatic lesions, in order to optimise the iodine concentration and injection rate of the contrast agent Imeron in the Multislice Spiral-CT of the upper abdomen.
Materials and methods: the current prospective, single centre, double-blinded, randomised and interindividual comparison study included 50 patients (29 males and 21 females) with a mean age of 63,3 years. Patients were randomised to one of the two injection protocols. Image evaluation included qualitative assessment (technical quality, presence of artefacts and overall contrast quality) and quantitative assessment (measuring the difference in HU between the lesion and the surrounding hepatic tissue). The difference between both protocols was tested for statistical significance using the Wilcoxon-Mann-Whitney test and the Two-Sample t-test.
Results: there was no statistically significant difference between both protocols regarding the technical quality of images, both in the AP (p = 0,46) and in the venous phase (p = 0,48). Additionally, no statistically significant difference was found regarding the presence of artefacts related to the contrast medium, both in the AP (p = 0,46) and in the venous phase (p = 0,46), as well as regarding the overall contrast quality of images both in the AP (p = 0,50) and in the venous phase (p = 0,48). Quantitative assessment showed no statistically significant difference regarding the difference in HU measurement between the hepatic lesion and the surrounding hepatic tissue, both in the AP (p = 0,36) and in the venous phase (p = 0,92).
Conclusion: in the multiphasic CT imaging of the liver, reducing the injection rate of the contrast medium Imeron from 5 ml/ sec to 3,7 ml/ sec while increasing the iodine strength of the agent from 300 to 400 mg/ml, respectively, and thus keeping the iodine injection flow rate constant, produces similar signal intensities and results in similar technical, image and overall contrast qualities..
Keywords: Contrast-medium, injection rate, iodine concentration, hepatic malignancy, multiphasic CT
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.
A Large Ion Collider Experiment (ALICE) is a high-energy physics experiment, designed to study heavy ion collisions at the European Organization for Nuclear Research (CERN)Large Hadron Collider (LHC). ALICE is built to study the fundamental properties of matter as it existed shortly after the big bang. This requires reading out millions of sensors with high frequency, enabling high statistics for physics analysis, resulting in a considerable computing demand concerning network throughput and processing power. With the ALICE Run 3 upgrade [14], requirements for a High Throughput Computing
(HTC) online processing cluster increased significantly, due to more than an order of magnitude more data than in Run 2, resulting in a processing input rate of up to 900 GB/s. Online (real-time) event reconstruction allows for the compression of the data stream to 130 GB/s, which is stored on disk for physics analysis.
This thesis presents the implementation of the ALICE Event Processing Node (EPN) compute farm, to cope with the Run 3 online computing challenges. Building a Data Centre tailored to ALICE requirements for the Run 3 and Run 4 EPN farm. Providing the operational conditions for a dynamic compute environment of a High Performance Computing (HPC) cluster, with significant load changes in a short time span, when starting or stopping a data-taking run. EPN servers provide the required computing resources for online reconstruction and data compression. The farm includes network connectivity towards First Level Processors (FLPs), requiring reliable throughput of 900 GB/s between FLPs and EPNs and connectivity from the internal InfiniBand network to the CERN Exabyte Object Storage (EOS) Ethernet network, with more than 100 GB/s.
The results of operating the EPN computing infrastructure during the first year of Run 3 LHC collisions are described in the context of the ALICE experiment. The EPN farm was delivering the expected performance for ALICE data-taking. Data Centre environmental conditions remained stable during the last more than two years, in particular during starting and stopping runs, which include significant changes in IT load. Several unforeseen external circumstances lead to increasing demands for the Online Offline System (O2). Higher data rates than anticipated required network performance to exceed the initial design specifications, for the throughput between FLPs and EPNs. In particular, the high throughput from an internal EPN InfiniBand network towards the storage Ethernet network was one of the challenges to overcome.
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.
Die Arbeit behandelt die Messung von Photonen mit Teilchendetektoren, die auf digitalen Silizium-Pixelsensoren basieren. Diskutiert werden zwei wesentliche Schritte in den Upgrade-Programmen des ALICE-Experiments am CERN-LHC:
1. FOCAL-Detektor-Upgrade (2027): Untersuchung der Detektorantwort des elektromagnetischen Pixel-Kalorimeters EPICAL-2 und der Form elektromagnetischer Schauer durch Teststrahl-Messungen und Monte Carlo Simulationen.
2. ALICE 3-Upgrade (2035): Simulationsstudien zum Untergrund in der Messung von Photonen mit sehr kleinem Transversalimpuls.
Teil 1: Performance des elektromagnetischen Pixel-Kalorimeters EPICAL-2
Detektordesign und Testmessungen: EPICAL-2, ein SiW-Sandwich-Design-Kalorimeter mit ALPIDE Sensoren, besitzt eine Tiefe von ca. 20 Strahlungslängen und etwa 25 Millionen Pixel. Testmessungen wurden an der Universität Utrecht (kosmische Myonen) sowie am DESY und CERN-SPS (Elektronen) durchgeführt.
Simulation und Validierung: Das EPICAL-2 wird im Simulationspaket Allpix2 implementiert, um die Testmessungen zu validieren und das Detektorverhalten zu untersuchen. Systematische Variationen bestätigen die Stabilität und Reproduzierbarkeit der Simulation.
Datenaufbereitung und Schauerprofile: Im Rahmen der Datenanalyse werden fehlerhafte Pixel ausgeschlossen, Pixel-Treffer zu Clustern gruppiert, Chips kalibriert und der Strahlwinkel korrigiert. Das longitudinale Profil elektromagnetischer Schauer zeigt, dass das Schauermaximum in der Simulation etwas tiefer liegt als in den Testdaten, was auf zusätzliches Material oder eine unvollständige Beschreibung der Schauerentwicklung in der Simulation zurückzuführen sein könnte. Das laterale Profil zeigt, dass eine Schauertrennung im Millimeter-Bereich möglich ist.
Energieantwort und -auflösung: Die nicht-lineare Energieantwort wird sowohl in Testdaten als auch in Simulationen beobachtet. Die Energieauflösung des EPICAL-2 für Cluster ist besser als für Pixeltreffer und vergleichbar mit dem analogen CALICE-Prototypen. Simulationen ohne Strahlenergie-Fluktuationen zeigen eine bessere Energieauflösung als in den Testdaten.
Teil 2: Untergrund in der Messung von Photonen in ALICE 3
Simulationssetup: Die ALICE 3-Detektorgeometrie wird in GEANT4 implementiert, um den Untergrund in der Messung weicher Photonen zu untersuchen. Simulationen mit PYTHIA und GEANT4 zeigen, dass der Untergrund hauptsächlich aus Zerfallsphotonen und Photonen aus externer Bremsstrahlung besteht.
Ergebnisse der Untergrundstudien: Der Untergrund durch Photonen aus externer Bremsstrahlung dominiert und liegt im Akzeptanzbereich des FCT um einen Faktor von 5 bis 10 über dem theoretischen Signal weicher Photonen. In der Simulation wird das Material zu 8%—14% X0 in ALICE 3 bestimmt, wobei bereits bei 5% X0 der Untergrund genauso stark ist wie das erwartete Signal.
Möglichkeiten zur Untergrundreduzierung: Untersuchungen zeigen, dass ein Elektron-Veto das Signal-zu-Untergrund-Verhältnis um den Faktor 30 verbessern und eine Materialreduktion durch ein optimiertes Strahlrohr um den Faktor 7.
Die Ergebnisse des ersten Teils dieser Arbeit demonstrieren insgesamt die gute Performance des EPICAL-2 in Bezug auf die Energiemessung und die Bestimmung der Schauerform. Darüber hinaus unterstützen sie den Einsatz digitaler Kalorimeter im FOCAL-Upgrade des ALICE-Experiments und zeigen das Potenzial der digitalen Kalorimetertechnologie für zukünftige Hochenergiephysik-Experimente.
Die Ergebnisse des zweiten Teils dieser Arbeit liefern einen wesentliche Beitrag zum geplanten ALICE 3-Upgrade. Weiterhin veranschaulichen sie, wie ein Elektron-Veto und die Reduzierung des Materials zusammen eine vielversprechende Messstrategie bilden können.
In almost all parts of the world the industrialisation grows continuously and thus, the chemical pollution of natural waters has become a major public concern. A major consequence and one of the key environmental problems we are facing today is the increasing contamination of freshwater systems with chemicals. The chemicals are detected in wastewater, surface (river) water, ground water and drinking water ubiquitously in natural waters and not only in industrialised areas. The main point sources for water pollution and the release of these synthetic organic substances of human origin, so called micropollutants (MPs), are wastewater treatment plants (WWTPs). These MPs such as pharmaceuticals, personal care products, disinfectant chemicals, chemicals used in the industry and in households, contraceptives, hormones, food additives, artificial sweeteners, pesticides, biocides, and many emerging contaminants are only incompletely removed by the existing conventional wastewater treatment technologies. The MPs end up in the water cycle and have adverse effects on wildlife aquatic ecosystems and human health even at very low concentrations. Therefore, advanced wastewater treatment (AWWT) technologies, such as ozonation, treatment with activated carbon, biofiltration, membrane bioreactors (MBRs) or exposure to ultraviolet light are investigated as options to upgrade conventional WWTPs. However, several studies show that especially the ozonation of wastewater generates diverse transformation products (TPs) with unknown properties. These TPs could be more toxic than the mother compound. Thus, a post-treatment after the ozonation process is required.
The present thesis was part of the BMBF-funded TransRisk project dealing with “the characterisation, communication, and minimisation of risks of emerging pollutants and pathogens in the water cycle”. One main objective was the investigation of conventional treated wastewater after a full-scale ozonation with four post-treatments (each non-aerated and aerated granular activated carbon (GAC) filtration and biofiltration) in comparison to a MBR treatment of raw (untreated) wastewater separately and in combination with an additional ozonation on a pilot WWTP. For this purpose, the wastewater samples were characterised with a comprehensive battery of in vitro and in vivo bioassays. The in vitro bioassays were performed to detect endocrine activities (such as (anti)estrogenic and (anti)androgenic activities), genotoxicity, and mutagenicity. The results showed a decreased estrogenic activity due to the conventional wastewater treatment as well as the ozonation, but a distinct increase of the anti-estrogenic activity and the mutagenicity in the ozonated wastewater, possibly caused by new formed TPs, that were reduced after the post-treatments whereas the GAC filtration performed better than the biofiltration. The in vivo bioassays included for example the impact of the wastewater on mortality, reproduction, development, and energy reserves of the test organisms. The in vivo on-site tests with the mudsnail Potamopyrgus antipodarum and with the amphipod Gammarus fossarum indicated a major impact of conventional treated wastewater, ozonated wastewater, and MBR treated wastewater. The flow channel experiments in the laboratory with Gammarus pulex pointed to a serious impact of an estrogenic effluent on life-history traits of the amphipod. Finally, an ozonation of the wastewater with subsequent GAC filtration represented the most promising option. In addition, chemical analyses of 40 selected MPs, so called tracer substances, performed in parallel to the in vitro and in vivo bioassays underlined this assumption.
A second main objective was the optimisation of the preparation of water and wastewater samples for ecotoxicological in vitro bioassays because common sample preparation techniques are predominantly adapted for chemical analyses. Therefore, the impact of sample filtration, long-term acidification with following neutralisation as well as the enrichment with solid phase extraction (SPE) in combination with short-term acidification were investigated using amongst others raw (untreated) wastewater, hospital wastewater, conventional treated and ozonated wastewater, surface water, and ground water. Overall, eleven in vitro bioassays were performed for the detection of endocrine activities, genotoxicity, and mutagenicity. The results show that sample filtration and acidification/neutralisation significantly affected the outcome of the bioassays especially the anti-estrogenic activity and the mutagenicity whereas the sample filtration had a minor impact than the acidification. Thus, the testing of untreated (waste)water samples is advisable because the sample is minimally processed. Furthermore, the SPE extracts showed in parts high cytotoxic effects whereby no conclusions on the results of the bioassays were possible. However, the enrichment of endocrine activity and mutagenicity was predominantly effective but depended on the used SPE cartridge and the pH value of the (waste)water samples. Based on the results the use of a Telos C18/ENV cartridge and an acidified sample is recommendable. In the end, there is a need to optimise the sample preparation for in vitro bioassays to reach their maximum outcome for the best possible assessment of the water quality.
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.
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with an onset in early development. ASD has varying degrees of severity and thus affects people differently throughout their lives. Early diagnosis of ASD is essential to provide children with individually-tailored support.8 Eye-tracking may contribute to an earlier diagnosis: Several studies showed differences in eye movements between people with autism spectrum disorder (ASD) and typically developing controls (TD). Different eye movements may contribute to different visual perception that perpetuates to problems in attention, communication and social interaction.
Eye movements are divided into: (1) Fixations (2) Saccades (fast and short eye movements) and (3) Smooth Pursuit Eye Movements (SPEM). SPEM follow the target in a continuous manner. The latter are the subject of the present thesis. SPEM consist of two phases: the open loop phase (= phase of initiation, first 50- 100ms) and the closed loop phase (= phase of maintenance, after about 100ms). SPEM are usually measured by a gain index. It is defined as the ratio of smooth pursuit velocity and visual target velocity and ideally equals to 1.2
In young children, corneal-reflection (CR) eye-tracking is usually applied to quantify eye movement. It allows precise measurements without the use of potentially intrusive devices.
Studies in ASD reported deficits in open loop and closed loop pursuit in children and adults with a mean age of 19.32 (TD) and 20.04 (ASD) years. However, SPEM in preschoolers with ASD remain understudied, although this developmental phase is crucial to the development of non-social and social attentional abilities.
In the present study 66 toddlers and preschoolers (18 to 72 months; ASD: n = 33, TD: n = 33) with matched cognitive abilities and sex were assessed. The main objective was to compare the gain index (Smooth Pursuit Gain = SPG). SPEM were compared between groups with gain index as a dependent measure. We hypothesized that participants with ASD show lower average gain compared to the control group.
We could show a significant group influence on the gain when considering interactions between target velocity and group (p = 0.041). The TD group showed a greater dependence on the increasing object speed than the ASD group with a trend of -0.30 ± 0.11 in the TD group and a trend of -0.13 ± 0.12 in the ASD group. Across groups, the gain decreased with increasing target velocity and dropped faster in vertical than in horizontal trials. Additionally, participants showed a lower SPG in vertical sequences than in horizontal sequences. This supports the general validity of the measure.
Toddlers and preschoolers represent a group that has been subject of little research to date. In addition, there has been only a limited number of studies analyzing SPEM in ASD. To check for a possible group difference without interactions a study with a larger sample size at fixed target velocity and target direction should follow.
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.
The main focus of this thesis is the application of the nonperturbative Functional Renormalization Group (FRG) to the study of low-energies effective models for Quantum Chromodynamics (QCD). The study of effective field theories and models is crucial for our understanding of physics, especially when we deal with fundamental interaction theories like QCD. In particular, the ultimate goal is the understanding of the critical properties of these models in such a way that we can have an insight on the actual critical phenomena of QCD, with a special focus on its chiral phase transition. The choice of the FRG method derives from the fact that it belongs to the class of functional non-perturbative methods and has also the advantage of linking physics at different energy scales. These features make FRG perfectly compatible with the task of studying non-perturbative phenomena and in particular phase transitions, like the ones expected for strongly interacting matter. However, the functional nature of the FRG approach and of the Wetterich equation has a consequence that its exact resolution is hardly possible, and an ansatz for the effective action is generally needed. In this work we choose to adopt the local-potential approximation (LPA), which prescribes to stop at zeroth order in the expansion in derivative operators of the quantum effective action, including only the quantum effective potential. In this work we exploited the key observation that the FRG flow equation can be cast, for specific models and truncation schemes, in the form of an advection-diffusion, possibly with a source term. This type of equation belongs to the class of problems faced in the context of viscous hydrodynamics. Therefore, an innovative approach to the solution of the FRG flow equation consists in the choice of a method developed specifically for the resolution of this class of hydrodynamic equations. In particular, the Kurganov-Tadmor finite-volume scheme is adopted. Throughout this work we apply this scheme to the study of different physical systems, showing the reliability and the flexibility of this approach.
In the first part of the thesis, we discuss the well-known O(N) model, using the hydrodynamic formulation to solve the FRG flow equation in the LPA truncation. We focus on the study of the critical behaviour of the system and calculate the corresponding critical exponents. Particular attention is given to the error estimation in the extraction of critical exponents, which is a needed and not widely explored aspect. The results are well compatible with others in the literature, obtained with different perturbative and nonperturbative methods, which validates the procedure. In the second part of the thesis, we introduce the quark-meson model as a low-energy effective model for QCD, with a specific focus on its chiral symmetry-breaking pattern and the subsequent dynamical quark-mass generation. The LPA flow equation is of the advection-diffusion type, with an extra source contribution which is due to the inclusion of fermionic degrees of freedom. We thus adopt the developed numerical techniques to derive the phase diagram of the model, which is in agreement with the one obtained with other techniques in the literature.
We also follow another possible way for the study of the critical properties of the quark-meson model: the so-called thermodynamic geometry. This approach is based on the interpretation of the parameter space of the system as a differential manifold. One can then obtain relevant information about the phase transitions from the Ricci scalar. We studied the chiral crossover investigating the behavior of the Ricci scalar up to the critical point, featuring a peaking behavior in the presence of the crossover. We then repeated this analysis in the chiral limit, where the phase transition is expected to be of second order. Via this geometric technique it is possible to have a different view on the chiral phase transition of QCD. This is the case since this approach is based on the calculation of quantities which are influenced by higher-order momenta of the thermodynamic potential, thus allowing for a more comprehensive analysis of the phase transition.
Finally, we exploit the numerical advancement to face the issue of the regulator choice in the FRG calculations. This is one of the most delicate issues which arise when using approximations to solve the FRG flow equation and deserves extensive investigation. In particular, we performed a vacuum parameter study and used the RG consistency requirement to determine the impact of the choice of the regulator on the physical observables and on the phase diagram of the model. Via this study we develop a systematic method to comparison the results obtained via different regulators. We show the importance of the choice of an appropriate UV cutoff in the determination of UV-independent IR observables and, consequently, the impact on the latter that the truncation of the effective average action and the choice of the regulator have.
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.
Mitochondrial RNA granules (MRGs) are membraneless, highly specialized compartments that play an essential role in the post-transcriptional regulation of mitochondrial gene expression. This regulation is crucial for maintaining energy production, controlling metabolic functions and ensuring homeostasis in cells. Dysregulation of mitochondrial genes has been linked to various human diseases, including neurodegenerative and metabolic disorders as well as certain types of cancer.
MRGs are composed of different RNA species, including mitochondrial precursor RNA (pre-RNA), mature tRNAs, rRNAs and mRNAs complexed with multiple proteins involved in RNA processing and mitoribosome assembly. However, despite the significance of MRGs, their protein composition, structural organization, stability and dynamics during stress conditions remain elusive. In the study reported here, I adopted a three-step approach to address the aforementioned fundamental issues.
First and foremost, I identified the protein composition of MRGs and unveiled their architectural complexity. To characterize the MRG proteome, I applied the cutting-edge TurboID-based proximity labeling approach combined with quantitative mass spectrometry. Proximity labeling was conducted on 20 distinct MRG-associated human proteins, resulting in the identification of more than 1,700 protein-protein interactions. This expansive dataset enabled me to create a comprehensive network, providing valuable insights into both the (sub)architecture as well as the core structure of MRGs in-depth.
Secondly, I investigated the spatio-temporal dynamics of MRGs under various mitochondrial stress conditions. To monitor the morphological alterations and compositional changes of MRGs, I utilized time-resolved confocal fluorescence microscopy and proteomics, respectively. In this analysis, I applied IMT1, the first specific inhibitor that selectively targets mitochondrial transcription. Using this methodology, I pinpointed precise conditions that triggered MRGs’ disassembly during stress, followed by their reassembly when nascent RNA production was restored. The results of this examination elucidate that MRGs are highly dynamic and stress adaptive structures, capable of rapid dissolution and reassembly, a process closely connected to mitochondrial transcription.
Thirdly, I aimed to explore the impact of RNA turnover on MRGs’ integrity during stress, employing confocal fluorescence microscopy and quantitative real-time PCR. I observed that depletion of MRG proteins associated with RNA degradation counteracts MRGs’ disassembly under stress conditions, a phenomenon attributed to the accumulation of double-stranded RNA (dsRNA). These results emphasize the critical role of pre-RNA turnover in maintaining MRG integrity and reveal that MRGs can be stabilized by dsRNA.
Taken together, the comprehensive investigation reported in this thesis has substantially broadened and deepened our understanding of MRGs’ complexity. By identifying their molecular structure and dynamics, I have gained significant insights into the fundamental characteristics and biological functions of MRGs in cellular processes. This knowledge contributes to the identification of disease-related pathways linked to mitochondrial gene expression and may inspire future studies to develop novel therapeutic approaches.
Inflammation is a crucial host defense mechanism activated in response to injury or infection. Its primary goal is to eliminate the source of the disturbance, repair the damaged tissue, and restore homeostasis. Inflammatory processes can be recognized through increased blood flow, higher vascular permeability, and the recruitment of leukocytes and plasma proteins to the tissue. A pathogen-induced inflammation triggers various pro- and anti-inflammatory processes. Local tissue cells and Toll-like receptors call upon innate immune cells like neutrophils, dendritic cells (DCs), and monocytes to respond to the intruder. They move across the endothelium and respond to local signals by releasing mediators or cytotoxic compounds, phagocytosing, or polarizing. To study local pathogen-induced inflammation, a zymosan-induced inflammation model was used in the hind paws of mice, which caused a Toll-like receptor 2 mediated inflammation. Multi-Epitope-Ligand-Cartography (MELC) was used for multiple sequential immunohistochemistry with 40 different antibodies on the same tissue. Bioinformatic analysis and graphical representation revealed a specific inflammatory architecture consisting of three major areas based on macrophage polarization and their cellular neighborhoods: a core region containing the pathogen, a pro-inflammatory region containing M1-like macrophages, and a region containing anti-inflammatory cells. This discovery highlights the coexistence of pro- and antiinflammatory processes during an ongoing inflammation and challenges the concept of a gradual temporal transition from pro- to anti-inflammation. Flow cytometry of the whole paw was performed to support and refine the MELC results. Eosinophils were used as a specific immune cell population to investigate their role in the inflammatory structure. They were found to be present in all three inflammatory regions, adapting their cytokine profile according to their localization. Depleting eosinophils reduced Interleukin 4 (IL-4)- levels, increased edema formation, and mechanical and thermal hypersensitivities during inflammation resolution. In the absence of eosinophils, pro- and anti-inflammatory region could not be determined in the inflammatory architecture, neutrophil numbers increased, and efferocytosis and M2-macrophage polarization were reduced. IL-4 administration restored these regions, normalized neutrophil numbers, efferocytosis, M2-macrophage polarization, and resolution of zymosan-induced hypersensitivity. The results show that eosinophils expressing IL-4 support the resolution of inflammation by enabling the development of an anti-inflammatory framework that encloses pro-inflammatory regions.
This thesis is concerned with the investigation of static and dynamic properties of quantum Heisenberg paramagnets in the absence of a magnetic field and therefore for vanishing magnetization. For this purpose a new formulation of the spin functional renormalization group (SFRG) is employed. The first manifestations of the SFRG were developed by Krieg and Kopietz, motivated by the FRG approach to ordinary field theories and the older works of Vaks, Larkin and Pikin on diagrammatic methods for spin operators.
The main idea is to study quantum spin systems by considering the evolution of correlation functions under a continuous deformation of the interaction between magnetic moments, starting from a solvable limit. This leads to nonperturbative results for quantities like the spin-spin correlation function. After a basic introduction to the phenomena and concomitant problems discussed in this thesis, a detailed description of the SFRG method in its initial formulation is given in the second chapter. We start with the generating functional of connected imaginary-time spin-correlation functions GΛ [h], for which an exact flow equation is derived. A particular issue, already pointed out by Krieg and Kopietz, arises here, namely the singular non-interacting limit of its subtracted Legendre transform ΓΛ [m]. As a consequence the initial condition of that functional does not have a proper series expansion in powers of m. This prevents us from working directly within a pure one-particle irreducible (1-PI) parametrization of the correlation functions, as is often done in the context of field theories. Thus motivated, we develop a workaround explicitly tailored to paramagnets, which provides us with a functional that has a well-behaved Legendre transform. The new approach is based on a different treatment of fluctuations at zero and finite frequencies, analogous to a previous hybrid formulation for the symmetry-broken phase. Certain properties, considered to be highly relevant for isotropic paramagnets, as well as previous observations, already made in the study of simpler spin systems like the Ising model, serve as additional justifications for choosing this construction.
In the third chapter our new method is assessed by calculating the dynamic susceptibility G(k, iω) and thus the dynamic structure factor S(k, ω) in the symmetric phase. For this purpose an approximate integral equation for the dynamic polarization function Π̃(k, iω) was derived. This equation results from a truncation of the hierarchy of flow equations and contains static quantities, that are assumed to be known from another source. Our first application is the high-temperature limit T → ∞ in d ≤ 3 dimensions. Salient features, believed to be part of the spin dynamics in isotropic Heisenberg magnets are also exhibited by our solution, like (anomalous) diffusion in a suitable hydrodynamic limit. Moreover we obtain the same order of magnitude for the diffusion coefficient D as in experiments and other theoretical calculations. Other aspects do not entirely agree with previous approaches.
Afterwards we continue by investigating systems close to the critical point Tc. Dynamic scaling forms for Π̃(k, iω) and S(k, ω), which, like spin diffusion, are postulated on the basis of quite general physical arguments, are reproduced. Agreement of the line-shapes 2with neutron scattering experiments at T = Tc is found to be satisfying, with deviations for ω → 0, that may be attributed to the simplicity of the approximation, like at infinite temperature.
Finally, we focus our attention on the thermodynamic properties of isotropic Heisenberg paramagnets by calculating the static susceptibility G(k). For this purpose we employ simple truncation schemes of the flow equations for the static self-energy ΣΛ (k) and four-spin vertex ΓΛ , together with a basic ansatz for the dynamic polarization Π̃(k, iω) in quantum systems. As a result we obtain transition temperatures Tc of three-dimensional nonfrustrated magnets within an accuracy of 5 percent compared to established benchmark values from Quantum Monte Carlo and high temperature expansion series. We conclude this chapter by giving an outlook on the application of our method to frustrated systems, which may require a combined non-trivial calculation of static and dynamic properties.
This work aimed to investigate the regulation and activity of 5-lipoxygenase (5-LO), the central enzyme in leukotriene biosynthesis, in two colorectal cancer cell lines. The leukotriene pathway is positively correlated with the progression of several solid malignancies; however, factors regulating 5-LO expression and activity in tumors are poorly understood.
Cancer development, as well as cancer progression, are strongly dependent on the tumor microenvironment. In the conventional monolayer culture of cancer cell lines, cell-matrix and cell-cell interactions present in native tumors are absent. Furthermore, it is already known that various colon cancer cell lines dysregulate several important signaling pathways due to 3D growth. Therefore, the expression of the leukotriene cascade in HT-29 and HCT-116 colorectal cancer cells was investigated within a three-dimensional context using multicellular tumor spheroids to mimic a more physiological environment compared to conventional cell culture. Especially the expression of 5-LO, cPLA2α, and LTA4 hydrolase was altered due to threedimensional (3D) cell growth, which was investigated by qPCR and Western blot analysis. High cellular density in monolayer cultures led to similar results. The observed 5-LO upregulation was found inversely correlated with cell proliferation, determined by cell cycle analysis, and activation of PI3K/mTORC-2- and MEK-1/ERK-dependent pathways, determined using pharmacological pathway inhibition, stable shRNA knockdown cell lines, and analysis via qPCR and Western blot analysis. Following, the transcription factor E2F1 and its target gene MYBL2 were identified to play a role in the repression of 5-LO during cell proliferation. For this purpose, several stable MYBL2 over-expression and ALOX5 reporter cell lines were prepared and analyzed. Since 5-LO was already identified as a direct p53 target gene, the influence of p53, which is variably expressed in the cell lines (HT-29, p53 R273H mut; HCT-116 p53 wt; HCT-116 p53 KO), was investigated as well. Furthermore, HCT-116 cells carrying a p53 knockout were investigated. The PI3K/mTORC-2- and MEK-1/ERK-dependent suppression of 5-LO was also found in tumor cells from other origins (Capan-2, Caco-2, MCF-7), which was determined using pharmacological pathway inhibition and following analysis via qPCR. This suggests that the identified mechanism might apply to other tumor entities as well.
5-LO activity was previously described as attenuated in HT-29 and HCT-116 cells compared to polymorphonuclear leukocytes, which express a highly active 5-LO. However, the present study showed that the enzyme activity is indeed low but inducible in HT-29 and HCT-116 cells. Of note, the general lipid mediator profile and the mediator concentrations were comparable to those of M2 macrophages. Finally, the analysis of substrate availability in HT-29 and HCT-116 cells revealed a vast difference between formed metabolite concentrations and supplemented fatty acid concentrations, indicating that the substrates are either transformed into lipoxygenase-independent metabolites or are esterified into the cellular membrane.
In summary, the data presented in this work demonstrate that 5-LO expression and activity are tightly regulated in HT-29 and HCT-116 cells and fine-tuned due to environmental conditions. The cells suppress 5-LO during proliferation but upregulate the expression and activity of the enzyme under cellular stress-triggering conditions. This implies a possible role of 5-LO in manipulating the tumor stroma to support a tumor-promoting microenvironment.
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.
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.
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.
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.
Efficient modeling and mitigation of quadrupole errors in synchrotrons and their beam transfer lines
(2023)
This thesis investigates the problem of estimating quadrupole errors on synchrotrons as well as how to minimize the influence of quadrupole errors for beam transfer lines (beamlines). It emphasizes the importance to treat possible error sources in all parts of an accelerator in order to provide constantly high beam quality to the experimental stations. While the presented methods have been investigated by using the example of the SIS18 synchrotron and the HEST beamlines at GSI Helmholtz Centre for Heavy Ion Research, they are equally relevant for the future synchrotrons and beamlines of the Facility for Antiproton and Ion Research in Europe (FAIR).
Part 1 discusses the problem of estimating quadrupole errors via orbit response measurements at synchrotrons. An emphasis is put on investigating the influence of the availability of steerer magnets and beam position monitors (BPMs) on the solvability of the inverse problem as well as on the propagation of measurement uncertainty for the estimation of quadrupole errors. The problem is approached via analytical considerations as well as via dedicated simulation studies. By developing an analytical expression for the Jacobian matrix, the theoretical boundaries for the solvability of the inverse problem are derived. Moreover, it is shown that the analytical expressions for the Jacobian matrix can be used during the fitting procedure to achieve a significant improvement in the computational efficiency by a factor $N_{steerers} \times N_{quadrupoles}$, where $N$ denotes the number of lattice elements of the respective type. The presented results are tested via dedicated measurements at the SIS18 synchrotron.
Part 2 discusses – complementary to part 1 – the influence of quadrupole errors in beam transfer lines with respect to the beam quality requirements given by the experimental stations. A preventive approach is presented which allows to minimize the influence of possible quadrupole errors on the degradation of beam quality. By identifying and selecting robust quadrupole configurations, a stable operation of the beamline can be enabled and the time needed by operators to readjust the beamline parameters can be reduced. The concept of beamline robustness is developed and is studied with the help of dedicated simulations. The simulation results are used to identify certain properties that distinguish robust from nonrobust quadrupole configurations. Also, various methods for improving the computational process of identifying robust quadrupole configurations are presented. The methods and results are tested via dedicated measurements at two different beamlines at GSI Helmholtz Centre for Heavy Ion Research and at Forschungszentrum Jülich.
The theoretical and experimental investigation of exotic hadrons like tetraquarks is an important branch of modern elementary particle physics. In this thesis I investigate different four-quark systems using lattice QCD and search for evidence of stable tetraquark states or resonances.
Lattice QCD as a non-perturbative approach to QCD allows an accurate and reliable determination of the masses of strongly bound hadrons.
However, most tetraquarks appear as weakly bound states or resonances, which makes a theoretical investigation using lattice QCD difficult due to the finite spatial volume. A rigorous treatment of such systems is feasible using the so-called Lüscher method. This allows to calculate the scattering amplitude based on the finite-volume energy spectrum determined in a lattice QCD calculation. Similarly to the analysis of experimental data, this scattering amplitude can be used to determine the binding energies of bound states or the masses and decay widths of resonances in the infinite volume.
In my work I calculate the low-energy energy spectra of different four-quark systems and use - if necessary - the Lüscher method to determine the masses of potential tetraquark states.
I focus on systems consisting of two heavy antiquarks and two light quarks, where at least one of the heavy antiquarks is a bottom quark.
Even though such tetraquarks have not yet been experimentally detected, they are considered promising candidates for particles that are stable with respect to the strong interaction.
A decisive step for successfully calculating low-lying energy levels for such four-quark systems is a carefully chosen set of creation operators, which represent the physical states most accurately. In addition to operators that generate a local structure where all four quarks are located at the same space-time point, I also use so-called scattering operators that resemble two spatially separated mesons. These scattering operators turned out to be relevant for successfully determining the lowest energy levels and are therefore essential, especially if a Lüscher analysis is carried out.
In my work, I considered two different lattice setups to study the four-quark systems $\bar{b}\bar{b}ud$ with $I(J^P)=0(1^+) $, $\bar{b}\bar{b}us$ with $J^P=1^+ $ and $\bar{b}\bar{c}ud$ with $I(J^P)=0(0^+) $ and $I(J^P)=0(1^+) $ and to predict potential tetraquark states. In both setups, I considered scattering operators. While in the first setup I used them only as annihilation operators, in the second setup they were included both as creation and annihilation operators. Additionally, in the second lattice setup, I performed a simplified investigation of the $\bar{b}\bar{b}ud$ system with $I(J^P)=0(1^-) $, which is a potential candidate for a tetraquark resonance. The results of the investigation of the mentioned four-quark systems can be summarized as follows:
For the $ \bar{b}\bar{b}ud $ four-quark system with $ I(J^P)=0(1^+) $ I found a deeply bound ground state slightly more than $ 100\,\textrm{MeV} $ below the lowest meson-meson threshold. The existence of a corresponding $\bar{b}\bar{b}ud$ tetraquark in the infinite volume was confirmed using a Lüscher analysis and possible systematic errors due to the use of lattice QCD were taken into account.
Similar results were obtained for the $ \bar{b}\bar{b}us $ four-quark system with $ J^P=1^+ $. Again, I found a ground state well below the lowest meson-meson threshold, but slightly weaker bound than for the $ \bar{b}\bar{b}ud $ system. Effects due to the finite volume turned out to be negligible for this system, as already predicted for the $ \bar{b}\bar{b}ud $ system. \item For the $ \bar{b}\bar{c}ud $ four-quark systems with $ (J^P)=0(0^+) $ and $ (J^P)=0(1^+) $ I was able to rule out the existence of a deeply bound tetraquark states based on the energy spectrum in the finite volume. However, by means of a scattering analysis using the Lüscher method, I found evidence a broad resonance for both channels.
In the case of the $ \bar{b}\bar{b}ud $ four-quark system with $ I(J^P)=0(1^-) $, I could neither confirm the existence of a resonance, nor rule out its existence with certainty.
In particular, my investigations showed that the results of the two different lattice simulations are consistent. The theoretical prediction of the bound tetraquark states $\bar{b}\bar{b}ud$ and $\bar{b}\bar{b}us$ as well as the tetraquark resonances in the $\bar{b}\bar{c}ud$ system in this work represent an important contribution to the future experimental search for exotic hadrons and can support the discovery of previously unobserved particles.
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.
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.
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.
Polyunsaturated fatty acids (PUFAs) play essential roles in mediating inflammation and its resolution. PUFA metabolites generated by the cytochrome P450 (CYP) - soluble epoxide hydrolase (sEH) axis are known to regulate macrophage activation/polarization but little is known about their role in the resolution of inflammation. Monocytes were isolated from murine bone marrow or human peripheral blood and differentiated to naïve macrophages (M0). Thereafter cells were polarized using LPS and IFNγ (M1), IL-4 (M2a), or TGFβ1 (M2c). Gene expression was analyzed by RNA sequencing, RT-qPCR and Western blotting. Phagocytosis of zymosan and oxo-LDL were also assessed in vitro. Zymosan-induced peritonitis combined with immune cell profiling was used to evaluate the resolution of inflammation in vivo. The expression of sEH was comparable in M0, M1 and M2a macrophages but markedly elevated in M2c polarized cells. The increase in sEH expression elicited by TGFβ relied on the TGFβ receptor ALK5 and the phosphorylation of SMAD2, which was able to bind to the sEH promoter. In macrophages lacking sEH, M2c polarization was incomplete and characterized by lower levels of pro-resolving phagocytosis associated receptors (Tlr2 and Mrc1), as well as higher levels of the pro-inflammatory markers; Nlrp3, IL-1β and TNFα. Fitting with the failure to upregulate phagocytosis associated receptors, the uptake of zymosan and ox-LDL was less efficient in M2c macrophages from sEH-/- mice. The latter animals also demonstrated a retarded resolution of inflammation (zymosan-induced peritonitis) in vivo with fewer resident macrophages and recruited macrophages. PUFA profile analysis indicated decreased sEH substrates e.g., 11, 12-EET, as well as increased sEH products e.g., 11, 12-DHET, indicating an increased sEH activity in M2c macrophages. Taken together, our data indicates that sEH expression is required for the effective M2c polarization of macrophages and thus the resolution of inflammation.
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.
This work focused on the biosynthesis and characterization of esterified lipid mediators. Lipid mediators were generally thought to exert their effects as free molecules, and their esterification was regarded as a storage mechanism. However, more recent studies indicate that esterified lipid mediators are a distinct class of mediators. When this thesis started back in 2017, the idea of esterified lipids as a new class of mediators was relatively new so that respective compounds were either quite expensive or not commercially available at all. Therefore, a biosynthetic approach had to be established first to enable the study of the new lipid mediator class. Within the cell, esterified lipids are produced by activation and subsequent incorporation of polyunsaturated fatty acids. These steps are enzymatically catalyzed by members of the acyl-CoA synthetase family and the lysophosphatidylcholine acyltransferase family, respectively. Therefore, the enzymes acyl-CoA synthetase long-chain family member 4 (ACSL4) and lysophosphatidylcholine acyltransferase 2 (LPCAT2) were selected for a biosynthetic approach due to their broad substrate acceptance.
In a first attempt, recombinant protein expression in E. coli was studied. While the expression and purification of C-terminally His6x-tagged ACSL4 resulted in a pure and active protein, the expression of LPCAT2 turned out quite troublesome. Although several expression and purification parameters were varied, including purification tags, buffer compositions, and chromatography strategies, successful purification of LPCAT2 was not achieved.
Instead, a second approach was studied. This time, stably transfected cells overexpressing ACSL4 and/or LPCAT2 were generated from the human embryonal kidney (HEK) 293T cell line. Stably transfected cell lines were characterized on protein level and regarding their oxylipin profile. After confirming the overexpression and functionality of the enzymes, lipoxygenases (LOs) were co-expressed in a doxycycline-inducible manner to prevent premature cell death due to increased oxidative stress. As a result, LO product formation was enhanced and enabled the investigation of specific oxylipins. Since increased lipid peroxidation is also a key component of the ferroptosis cell death mechanisms, cell lines were investigated towards their cell viability. Indeed, expression of ACSL4 and/or LPCAT2 promoted cell death when treated with the ferroptosis inducers erastin or RSL3, even in the absence of LO expression. Furthermore, analysis by laser scanning confocal microscopy revealed that the localization of 15-LO1 was altered in the presence of LPCAT2, similar to treatment with RSL3 in vector control cells.
In conclusion, a stable overexpression system of ACSL4 and/or LPCAT2 was successfully established in HEK293T cells, which enabled the synthesis and characterization of esterified oxylipins. Interestingly, characterization of the cell lines revealed a correlation with the cell death mechanism ferroptosis. Although the expression of ACSL4 has already been reported as a biomarker for ferroptosis, this is the first time that a potential connection of LPCAT2 with ferroptosis was demonstrated. As a result, this may provide new therapeutic options for ferroptosis-related pathologies such as neurodegeneration, autoimmune diseases, or tumorigenesis.
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.
How the brain evolved remains a mystery. The goal of this thesis is to understand the fundamental processes that are behind the evolutionary history of the brain. Amniotes appeared 320 million years ago with the transition from water to land. This early group bifurcated into sauropsids (reptiles and birds) and synapsids (mammals). Amniote brains evolved separately and display obvious structural and functional differences. Although those differences reflect brain diversification, all amniote brains share a common ancestor and their brains show multiple derived similarities: equivalent structures, networks, circuits and cell types have been preserved during millions of years. Finding these differences and similarities will help us understand brain historical evolution and function. Studying brain evolution can be approached from various levels, including brain structure, circuits, cell types, and genes. We propose a focus on cell types for a more comprehensive understanding of brain evolution. Neurons are the basic building blocks and the most diverse cell types in the brain. Their evolution reflects changes in the developmental processes that produce them, which in turn may shape the neural circuits they belong to. However, there is currently a lack of a unified criteria for studying the homology of connectivity and development between neurons. A neuron’s transcriptome is a molecular representation of its identity, connectivity, and developmental/evolutionary history. Hence the comparison of neuronal transcriptomes within and across species is a new and transformative development in the study of brain evolution. As an alternative, comparing neuronal transcriptomes across different species can provide insights into the evolution of the brain. We propose that comparing transcriptomes can be a way to fill this gap and unify these criteria. In previous studies, published in Science (Tosches et al., 2018) and Nature (Norimoto et al., 2020), we leveraged scRNAseq in reptiles to re-evaluate the origins and evolution of the mammalian cerebral cortex and claustrum. Motivated by the success of this approach, in this thesis we have now expanded single-cell profiling to the entire brain of a lizard species, the Australian dragon Pogona vitticeps, with a special focus in thalamus and prethalamus of. This approach allowed us to study the evolution of neuron types in amniotes. Therefore, we aimed to build a multilevel atlas of the lizard brain based on histology and transcriptomic and compare it to an equal mouse dataset (Zeisel et al., 2018).
Our atlas reveals a general structure that is consistent with that for other amniote brains, allowing us to make a direct comparison between lizard and mouse, despite their evolutionary divergence 320 million years ago. Through our analysis of the transcriptomes present in various neuron types, we have uncovered a core of conserved classes and discovered a fascinating dichotomy of new and conserved neuron types throughout the brain. This research challenges the traditional notion that certain brain regions are more conserved than others.
Our research also has uncovered the evolutionary history of the lizard thalamus and prethalamus by comparing them to homologous brain regions of the mouse. This pioneering research sheds new light on our understanding of the evolutionary history of the lizard brain. We propose a new classification of the lizard thalamic nuclei based on
transcriptomics. Our research revealed that the thalamic neuron types in lizards can be grouped into two large, conserved categories from the medial to lateral thalamus. These categories are encoded by a common set of effector genes, linking theories based on connectivity and molecular studies of these areas. In our data we have seen that there is a conservation of the medial-lateral transcriptomic axis in mouse and lizard, this conservation was most likely already present in the common ancestor. Although there is a shared medial-lateral axis, a deeper study of the thalamic cell types has allowed us to see the existence of a partial diversification of the thalamic population, specifically in the sensory-related lateral thalamus; in opposition, the medial thalamic nuclei neuron-types have been preserved.
On the other hand, the comparison with the mammalian prethalamus allowed us to confirm that the lizard ventromedial thalamic neuron types are homologous to mouse reticular thalamic neuron types (Díaz et al., 1994), even if they do not express the classical Reticular thalamic nucleus (RTn) marker PV/pvalb. We also discovered that there has been a simplification in the mammalian prethalamic neuron types in favor of an increase in the number of Interneurons (IN) types within their thalamus. We suggest that the loss of GABAergic neuronal types in the mammalian prethalamus is linked to the need for a more efficient control of the thalamo-pallial communication in mammals, while in lizards, where thalamo-pallial communication is probably simpler, the diversity prethalamus presents a higher diversity.
Biological membranes serve as physical barriers in cells and organelles, enabling the maintenance of chemical or ionic gradients that are essential for triggering various integral, peripheral, or lipid-anchored membrane proteins, necessary for their life-essential functions. The study of membrane proteins has unique challenges due to their hydrophobic nature, limited expression levels, and inherent flexibility. Single-particle analysis (SPA) enables the determination of high-resolution three-dimensional structures using minimal amounts of specimen without the need for crystallization. Additionally, cryogenic electron tomography (cryo-ET) and subtomogram averaging (StA) offer the ability to study membrane protein complexes, cellular architecture, and molecular interactions while preserving close-to-life conditions. With ongoing improvements in cryo-EM technologies, obtaining high-resolution structures of membrane proteins in vitro can allow people to understand their mechanisms and functions, and to facilitate the design and optimization of new therapeutic agents. Furthermore, there has been significant growth in the structural characterization of membrane proteins in situ, as studying biomolecules within their physiological context is an ultimate goal in structural biology for a comprehensive understanding of molecular networks in cells.
Due to the amphipathic nature of membrane proteins, their production, purification, and isolation pose significant challenges compared to soluble proteins. To maintain the membrane protein fold in an aqueous buffer after disrupting lipid membranes, the use of detergents, amphipols, lipid nanodiscs, saposin-lipoprotein (salipro), styrene-maleic acid co-polymer lipid particles (SMALPS) is common and often essential. A limitation of the membrane-mimetic systems is the absence of an actual lipid bilayer environment. To address this issue, membrane proteins can be reconstituted into liposomes, and this closed membrane environment closely mimics the physiological conditions of the proteins. The use of liposomes for structure determination is expected to significantly expand in the in vitro study of membrane proteins and membrane-associated proteins, particularly for capturing transient complexes in specific functional states.
Resolving the structures of membrane proteins in their native cellular context is considered the ideal approach for understanding their functions and associated molecular networks. While single-particle cryo-EM can achieve higher resolution than subtomogram averaging, it often requires at least partial purification of the target molecules from their native environment inside cells and tissues. By combining averaging tools on subvolumes obtained through cryo-ET, structures can currently be determined at resolutions of 10-30 Å. With ongoing advancements and refinements in cryo-ET methodologies, routine high-resolution structure determination in situ is poised to become a valuable tool for both structural and cell biologists in the long run, and the field holds great promise for further expanding our understanding of cellular structures and processes at the molecular level.
The main aim of this thesis is to further our knowledge of the structure and function of a small prokaryotic voltage-gated sodium ion channel, NaChBac in liposomes, and a large knob complex found on the surface of Plasmodium falciparum-infected human erythrocyte by cryo-ET and StA.
Chapter 2 presents the first StA map of the 120-kDa NaChBac embedded in liposomes under a resting membrane potential at a modest resolution of 16 Å. The approach presented in this study, which can be widely applied to cryo-EM analysis of membrane proteins, with a specific focus on membrane proteins with small soluble domains, lays the foundation for cryo-ET and StA of integral or peripheral membrane proteins whose functions are affected by transmembrane electrochemical gradients and/or membrane curvatures. Chapter 3 shows the first cryo-EM structure of the supramolecular knob complex in P. falciparum-infected human erythrocyte. While a previous study provided an overall architectural view of knobs using negative stain tomography, the in situ structure bridges this gap, guiding future investigations into the molecular composition and the role of these native knobs in Plasmodium infection and immunity.
This thesis opens up several promising lines for future studies of membrane proteins in vitro and in situ, where other membrane proteins can be studied in physiologically relevant environments. Already with the present generation of cryo-EM hardware and software, this thesis represents pioneering research in the field of membrane protein structural biology.
Impact of pectin dietary supplementation on experimental food allergy via gut microbiota modulation
(2023)
In recent years, dietary fibers gained focus in regard of their immune-modulatory effects and the potentially beneficial effect on allergies. The dietary fiber and prebiotic pectin is able to promote growth and activity of beneficial bacteria and thereby induce modulation of different immune responses. However, structurally different types of pectin might promote different immune-modulatory responses and to date the optimal pectin type for induction of beneficial health effects is not identified. Furthermore, it is still unclear, whether pectins provide a beneficial effect on certain allergies, such as food allergy.
Having this in consideration, this study examined the immune-modulatory effects of structurally different pectins on naive as well as peach allergic mice. Furhtermore, the impact of dietary pectin supplementation on composition and diversity of the murine gut microbiota was determined.
This study showed that dietary pectin intervention was able to suppress allergy-related Th2 responses considering humoral and cellular immune responses. Only apple-derived high-methoxyl pectin revealed an impact on total IgA levels and affected the microbial richness. Furthermore, it is not known whether the effects observed with the two pectins are caused by modulations of the bacterial composition or induced at least partly by direct interaction with the immune cells. Further studies are required to fully understand the mechanisms underlying the immune-modulatory capacities of different pectins.
Finally, the obtained results generated evidence that dietary pectin intervention can beneficially modulate the immune response in healthy mice and – at least partially – suppress allergy-related immune responses in a model of food allergy, depending on the structural characteristics of the used pectin.
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.
Mitochondria perform essential energetic, metabolic and signalling functions within the cell. To fulfil these, the integrity of the mitochondrial proteome has to be preserved. Therefore, each mitochondrial subcompartment harbours its own system for protein quality control. However, if the capacity of mitochondrial chaperones and proteases is overloaded, mitochondrial misfolding stress (MMS) occurs. Upon this stress condition, mitochondria communicate with the nucleus to increase the transcription of nuclear encoded mitochondrial chaperones and proteases. This proteotoxic stress pathway was termed the mitochondrial unfolded protein response (UPRmt) aiming at restoring protein homeostasis. Despite being discovered over 25 years ago, the signalling molecules released by stressed mitochondria as well as the corresponding receptor and transcription factor remain poorly understood. With this study, we aimed at characterising the underlying signalling events and mechanisms of how mitochondria react to misfolded proteins. First, we aimed to establish different methods to induce MMS that triggers the transcriptional induction of mitochondrial chaperones and proteases detected by quantitative polymerase chain reaction. We were able to induce UPRmt signalling by overexpression of an aggregation-prone protein and by knock-down or inhibition of mitochondrial protein quality control components. To study the signalling in a time-resolved manner, we focused on the usage of the mitochondrial HSP90 inhibitor GTPP and the mitochondrial LONP1 protease inhibitor CDDO.
Early time point RNA sequencing analysis of cells stressed with GTPP or CDDO revealed upregulated genes in response to oxidative stress. Indeed, measurements of mitochondrial superoxide with the fluorescent dye MitoSOX showed increased levels of reactive oxygen species (ROS) upon MMS induction. In contrast, there was no induction of mitochondrial chaperones and proteases when combining MMS with antioxidants. Compartment-specific targeting of the hydrogen peroxide sensor HyPer7 revealed increased ROS levels in the intermembrane space and matrix of mitochondria, followed by elevated ROS levels in the cytosol at later time points. The importance of cytosolic ROS for the signalling was supported by preventing UPRmt induction with an inhibitor blocking the outer mitochondrial membrane pore. Thus, ROS were identified as an essential UPRmt signal.
To understand which cytosolic factor is modified by ROS, redox proteomics was performed. Here, reversible changes on cysteine residues of the HSP40 co-chaperone DNAJA1 were observed upon MMS. Consequently, transcriptional induction of UPRmt genes was abolished by DNAJA1 knock-down. To understand the function of DNAJA1 during UPRmt signalling, quantitative interaction proteomics upon MMS revealed an increased binding to mitochondrial proteins and its interaction partner HSP70. Immunoprecipitation confirmed a ROS-dependent interaction between HSP40 and HSP70. Increased binding to mitochondrial proteins represented a cytosolic interaction of DNAJA1 with mitochondrial precursor proteins, whose accumulation was confirmed by western blot. Moreover, a fluorescent protein targeted to mitochondria accumulated in the cytosol during GTPP treatment, confirming a reduced import efficiency upon MMS. Preventing the accumulation of precursors by a translation inhibitor or depletion of a general mitochondrial transcription factor resulted in reduced UPRmt activation. Thus, DNAJA1 is essential for UPRmt signalling, since its oxidation by mitochondrial ROS and its enhanced recruitment to mitochondrial precursors allows the integration of both MMS-induced signals.
To link these findings to an increased transcription of mitochondrial chaperones and proteases, we screened for transcription factors accumulating in the nucleus upon MMS by cellular fractionation mass spectrometry. We demonstrated that specifically HSF1 accumulates in nuclei of cells stressed with GTPP or CDDO. Depletion of HSF1 by knock-down or knock-out resulted in the abrogation of the UPRmt-specific transcriptional response. HSF1 activation was visualised by nuclear accumulation on western blot, a process inhibited by ROS and precursor suppression. Moreover, DNAJA1 depletion prevented HSF1 activation. Ultimately, we proved by immunoprecipitation that the inhibitory interaction between HSF1 and HSP70 is reduced upon MMS.
Thus, we conclude that MMS increases mitochondrial ROS that are released into the cytosol. In addition, the import efficiency is reduced upon MMS, resulting in the accumulation of non-imported mitochondrial precursor proteins in the cytosol. Both signals are recognised via DNAJA1 oxidation and substrate binding. The concurrent recruitment of HSP70 to DNAJA1 results in the loss of the inhibitory HSP70-HSF1 interaction. Thus, active HSF1 can migrate to the nucleus to initiate transcription of mitochondrial chaperones and proteases. These findings are in accordance with observations in yeast, where mistargeted mitochondrial proteins activate cellular stress responses. Our results highlight a surprising interconnection and dependence of the mitochondrial and the cytosolic proteostasis network, in which the UPRmt is activated by a combination of two mitochondria-specific proteotoxic stress signals.
This dissertation constitutes a series of successive research papers, starting with the characterization of various optogenetic tools up to the establishment of purely optical electrophysiology in living animals.
Optogenetics has revolutionized neurobiology as it allows stimulation of excitable cells with exceptionally high spatiotemporal resolution. To cope with the increasing complexity of research issues and accompanying demands on experimental design, the broadening of the optogenetic toolbox is indispensable. Therefore, one goal was to establish a wide variety of novel rhodopsin-based actuators and characterize them, among others, with respect to their spectral properties, kinetics, and efficacy using behavioral experiments in Caenorhabditis elegans. During these studies, the applicability of highly potent de- and hyperpolarizers with adapted spectral properties, altered ion specificity, strongly slowed off-kinetics, and inverted functionality was successfully demonstrated. Inhibitory anion channelrhodopsins (ACRs) stood out, filling the gap of long-sought equivalent hyperpolarizing tools, and could be convincingly applied in a tandem configuration combined with the red-shifted depolarizer Chrimson for bidirectional stimulation (Bidirectional Pair of Opsins for Light-induced Excitation and Silencing, BiPOLES). A parallel study aimed to compare various rhodopsin-based genetically encoded voltage indicators (GEVIs) in the worm: In addition to electrochromic FRET-based GEVIs that use lower excitation intensity, QuasAr2 was particularly convincing in terms of voltage sensitivity and photostability in C. elegans. However, classical optogenetic approaches are quite static and only allow perturbation of neural activity. Therefore, QuasAr2 and BiPOLES were combined in a closed-loop feedback control system to implement the first proof-of-concept all-optical voltage clamp to date, termed the optogenetic voltage clamp (OVC). Here, an I-controller generates feedback of light wavelengths to bidirectionally stimulate BiPOLES and keep QuasAr’s fluorescence at a desired level. The OVC was established in body wall muscles and various types of neurons in C. elegans and transferred to rat hippocampal slice culture. In the worm, it allowed to assess altered cellular physiology of mutants and Ca2+-channel characteristics as well as dynamical clamping of distinct action potentials and associated behavior.
Ultimately, the optogenetic actuators and sensors implemented in the course of this cumulative work enabled to synergistically combine the advantages of imaging- and electrode-based techniques, thus providing the basis for noninvasive, optical electrophysiology in behaving animals.
Rafts: Rafts sind spezialisierte Domänen biologischer Membranen, die sich durch ihre spezifische Lipid- und Proteinzusammensetzung auszeichnen (zur Übersicht siehe Simons und Toomre, 2000). Die am besten beschriebenen Rafts sind die Caveolae, doch es gibt noch weitere weniger gut charakterisierte Rafttypen. Rafts werden verschiedene zelluläre Funktionen zugeschrieben wie z.B. gerichteter Transport von Membranproteinen, Endozytose und Signaltransduktion. Diese Funktionen erfüllen sie vornehmlich, indem sie verschiedene Proteine und Lipide bedingt durch ihre biophysikalischen Eigenschaften selektiv aufnehmen oder ausschließen. Viele Raftproteine sind über gesättigte Acylketten, wie Myristat oder Palmitat, oder einen GPIAnker mit der Membran assoziiert. Transmembranproteine, wie z.B. der EGFRezeptor, können jedoch auch in Rafts angereichert sein. Besonders an der Plasmamembran dienen Rafts als Signaltransduktionszentren, indem sie beteiligte Rezeptoren und Signalmoleküle konzentrieren.
Reggie-Proteine: Bei der Suche nach Proteinen, die bei der Regeneration von verletzten Sehnerven von Fischen hochreguliert werden, wurden Reggie-1 und Reggie-2 entdeckt (Schulte et al., 1997). Gleichzeitig wurden diese Proteine bei der Suche nach neuen Raftproteinen gefunden und als Flotillin-1 (=Reggie-2) und Flotillin-2 (=Reggie-1) bezeichnet (Bickel et al., 1997). Reggie-1 und -2 haben ein Molekulargewicht von 47 kDa und sind auf Aminosäuren-Basis zu 44% identisch. Homologe zu Reggie-1 wurden bislang in Mensch, Maus, Ratte und Fisch, wie auch in D. melanogaster gefunden. Die evolutionäre Konservierung der Reggies ist, mit beispielsweise 80% zwischen Ratte und Goldfisch, sehr hoch und weist auf eine wichtige Funktion hin, die Sequenzkonservierung verlangt. Reggie-1 wird ubiquitär exprimiert, wogegen Reggie-2 ein weniger verbreitetes Expressionsmuster aufweist. Reggie-1 ist vornehmlich an der Plasmamembran und an Endosomen lokalisiert. Die subzelluläre Lokalisation von Reggie-2 hängt vom Zelltyp ab...
Bioactive small molecules are used in many research areas as important tools to uncover biological pathways, interpret phenotypic changes, deconvolute protein functions and explore new therapeutic strategies in disease relevant cellular model systems. To unlock the full potential of these small molecules and to ensure reliability of results obtained in cellular assays, it is crucial to understand the properties of these small molecules. These properties encompass their activity and potency on their designated target(s), their selectivity towards unintended off-targets and their phenotypic effects in a cellular system. Approved drugs often engage with multiple targets, which can be beneficial for some applications such as treatment of cancer where several pathways need to be inhibited for treatment efficacy. However, targeting multiple key proteins in diverse pathways also increases the possibility for unspecific or unwanted side effects. For many drugs the entire target space that they modulate is not known. This makes it difficult to use these drugs for target deconvolution or functional assays with the aim to understand the underlying biological processes. In contrast to drugs, for mechanistic studies, a good alternative are chemical tool compounds so called chemical probes that are usually exclusively selective as well as chemogenomic compounds, that inhibit several targets but have narrow selectivity profiles. Because they are mechanistic tools, chemical tool compounds must meet stringent quality criteria and they are therefore well characterized in terms of their potency, selectivity and cellular on-target activity. To ensure that an observed phenotypic effect caused by a compound can be attributed to the described target(s), it is essential to study also properties of chemical tools leading to unspecific cellular effects. There are a variety of unspecific effects that can be caused by physiochemical compound properties that can interfere with phenotypic assays as well as functional compound evaluations. One of these effects is low solubility causing toxicity or intrinsic fluorescence potentially interfering with assay readouts. But unanticipated cellular responses can also arise from unspecific binding, accumulation in cellular compartments or damage caused to organelles such as mitochondria or the cytoskeleton that can result in the induction of diverse forms of cell death.
In this study, we investigated the influence of a variety of small molecules on distinct cell states, by establishing and validating high-content imaging assays, which we called Multiplex assay. This assay portfolio enabled us to detect different cellular responses using diverse fluorescent reporters, such as the influence of a compound on cell viability, induction of cell death programs and modulation of the cell cycle. Additionally, general compound properties such as precipitation and intrinsic fluorescence were simultaneously detected. The assay is adaptable to assess other cellular properties of interest, such as mitochondrial health, changes in cytoskeletal morphology or phospholipidosis. A significant advantage of the assay is that we are using live cells, so we can capture dynamic cellular changes and fluctuations that can be crucial for the understanding of cellular responses.
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.
Anthropogenic activities have a major impact on our planet and rapidly drive biodiversity loss in ecosystems at a global scale. Particularly over the last century, rising CO2 emissions significantly raised global temperatures and increased the intensity and frequency of droughts and heatwaves. Additionally, agricultural land use and fossil fuel combustion contribute to the continuous release of nitrogen (N) and phosphorus (P) into ecosystems worldwide through extensive fertilization and deposition from the atmosphere. It is important to understand how these rapid changes affect the evolution of plant populations and their adaptive potential. Adaptation by natural selection (i.e., adaptive evolution) within a few generations is an essential process as a response to rapid environmental changes. Rapid evolution of plant populations can be detected by using the so-called resurrection approach. Here, diaspores (i.e., seeds) from a population are collected before (ancestors) and after (descendants) a potential selection pressure (e.g., consecutive years of drought or changes in nutrient supply). Comparing phenotypes of ancestors and descendants in a common environment such as an outside garden, greenhouse, or climate chamber, may then reveal evolutionary changes. Ideally, plants are first grown in a common environment for an intermediate refresher generation to reduce parental and storage effects.
The aim of this thesis was to investigate the occurrence of adaptive evolution in natural plant populations in response to rapidly changing environments over the past three decades. I conducted three experiments using the resurrection approach to generate comprehensive data on the adaptive processes that acted on three plant populations from three different species over the last three decades. Furthermore, I filled knowledge gaps in plant evolutionary ecology and conceptually developed the resurrection approach further.
In Chapter I, I performed a novel approach by testing for adaptive evolution in natural plant populations using the resurrection approach in combination with in-situ transplantations. I cultivated seedlings from ancestors (23 – 26 years old) and contemporary descendants of three perennial species (Melica ciliata, Leontodon hispidus and Clinopodium vulgare) from calcareous grasslands in the greenhouse and In Chapter III, I assessed the reproducibility of phenotypic differences between genotypes among three different growth facilities (climate chamber, greenhouse, and outdoor garden). I also evaluated differences in phenotypic expression between plants grown after one vs. two intermediate generations (i.e., refresher generations). I performed this experiment within the framework of the resurrection approach and compared ancestors and descendants of the same population of Leontodon hispidus.
I observed very strong differences among plants growing in the different growth facilities. I found a significant interaction between the growth facility and the temporal origin (ancestors vs. descendants): descendants had significantly larger rosettes than ancestors only in the greenhouse and they flowered significantly later than ancestors exclusively in the climate chamber. I did not find significant differences between intermediate generations within the growth facilities. Overall, Chapter III shows that the use of a particular experimental system can dictate the presence and magnitude of phenotypic differences. This implies that absence of evidence is not evidence of absence when it comes to investigating genetically based trait differentiation among plant origins (in space or time). Experimental systems should be carefully designed to provide meaningful conditions, ideally mimicking the environmental conditions of the population’s origins. Finally, growing a second intermediate generation did not impact the genetic differences of ancestors and descendants within the environments, supporting the idea that only one intermediate generation may be sufficient to reduce detectable parental and storage effects.
The resurrection approach allows a better understanding of rapid plant adaptation, but some limitations deserve to be highlighted. I only studied one population per species, and Chapters II and III only focus on one population of L. hispidus, which is also hampering generalizations, as adaptive potential can vary greatly among populations of the same species. I only compared the ancestral genotypes to one descendant sample with a long time span in between (26 – 28 years), which makes it hard to pinpoint the selection agents that caused the genetic differentiation among the sampling years. Hence, closely monitoring biotic and abiotic factors of the studied populations between the ancestral and descendant sampling in future studies, would make identifying the responsible selection pressures more precise. I also recommend sampling multiple populations over consecutive years to improve the robustness of results and make generalizations more approachable.Furthermore, combining the resurrection approach with other methods such as in-situ transplantations will be valuable to offset the limitation that adaptations cannot be proven under artificial conditions (e.g., in the greenhouse).
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.
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This thesis aims to investigate the properties of hadronic matter by analyzing fluctuations of conserved charges. A transport model (SMASH) is used for these studies to achieve this. The first part of this thesis focuses on examining transport coefficients, specifically the diffusion coefficients of conserved charges and the shear viscosity. The second part investigates equal-time correlations of particle numbers in the form of cumulants. The last chapter studies different aspects of the isobar collision systems Ru and Zr.
As a first step, the hadronic medium and interactions between its constituents are introduced, and simultaneously, their impact on transport coefficients is investigated. The methodology is verified by comparing the results of SMASH with Chapman-Enskog calculations, followed by examining 3-to-1 multi-particle reactions, revealing their influence on shear viscosity and electrical diffusion. The analysis of the full hadron gas considers angle-dependent cross-sections and additional elastic cross-sections via the AQM description, showing significant impacts on transport coefficients. The dependency on the number of degrees of freedom is explored, with noticeable effects on diffusion coefficients but a smaller influence on the shear viscosity. At non-zero baryon chemical potential, the diffusion coefficients are strongly influenced, while the shear viscosity remains unaffected. Overall, the study underscores the importance of individual cross-sections and the modeling of interactions on transport coefficients.
The following chapter explores fluctuations of conserved charges, crucial for understanding phase transitions in heavy-ion collision from the quark-gluon plasma to the hadronic phase. Using SMASH, the impact of global charge conservation on particle number cumulants in subvolumes of boxes simulating infinite matter is studied. Comparisons with simpler systems highlights the influence of hadronic interactions on cumulants, especially via charge annihilation processes and the results from SMASH shows agreement with analytical calculations. Calculations at finite baryon chemical potential reveals a transition from a Poisson to Skellam distribution within the net proton cumulants. It is shown that an unfolding procedure to obtain the net baryon fluctuations from the net proton ones deviates from the actual net baryon result, particularly in larger volumes. Finally, net proton correlations at vanishing baryon chemical potential align with ALICE measurements and the net proton cumulants are unaffected by deuteron formation.
In the next step, the goal is to investigate critical fluctuations in the hadronic medium. Therefore, the hadronic system is initialized with critical equilibrium fluctuations by coupling the hadron resonance gas with the 3D Ising model. The single-particle probability distributions are derived from the principle of maximum entropy. Evolving these distributions in SMASH, their development in an expanding sphere adjusted to experimental conditions can be analyzed. It reveals resonance decay and formations as the primary source that affects the particle cumulants. Because of isospin randomization processes, critical fluctuations are better preserved in net nucleon numbers. However, for the strongest coupling investigated in this work, correlations of the critical field are still present in the final state of the evolution in the net proton fluctuations. Examining cumulant dependence on rapidity windows shows a non-monotonic trend.
In the third part, collisions involving the isobars Ru and Zr are studied at a center-of-mass energy of 200 GeV. Initially, SMASH is used to study the initial conditions to hydrodynamical simulations, emphasizing the importance of the nuclear structure of isobars on the geometry of the collision area. It is found that the deformation parameters notably influence the initial state. Correlations between nucleon-nucleon pairs on eccentricity fluctuations yield no significant effect. Subsequently, the hydrodynamic model vHLLE evolves the previously explored initial conditions and for the transition between the hydrodynamic and kinetic descriptions, the Cooper-Frye formula is used. Usage of the canonical ensemble ensures the exact conservation of the conserved charges B, Q, and S. The neutron skin effect, which changes the charge distribution within Ru nuclei, is additionally considered. Fluctuations are assessed, revealing suppression in large rapidity windows due to global charge conservation. The hadronic phase modifies fluctuations of net pions, net kaons, and net protons via annihilation processes, yet fluctuations remain unaffected by the neutron skin effect.
Partial melting of crustal and mantle rocks under pressure from impedance spectroscopy measurements
(2004)
The purpose of this work is to achieve a better understanding of the physical properties of rocks during partial melting processes. The electrical conductivity of some crustal and upper mantle rocks was measured prior and above the melting under pressure. The variations of the electrical conductivity were compared with the distribution of melt in partially molten rock samples. The electrical conductivity was estimated from the impedance spectroscopy at temperatures between 800 and 1450˚C and at pressures between 0.3 and 2 GPa. These measurements were performed in a piston cylinder apparatus. At temperatures above the melting, samples were equilibrated during a long time and subsequently quenched. Thin sections were prepared and topology, volume fraction and chemical composition of melt was analyzed by using a microprobe. Above the solidus temperature, the electrical conductivity increases for about 1 to 2 orders of magnitude in comparison with non-melted rocks. The "melt effect" seems to reflect the formation of an interconnected network of melt. When a complete melt connectivity is established, the charge transport follows the network of the formed melt films at grain boundaries. Usually, it takes a long time in order to reach a steady state of the electrical resistance in partially molten rocks. Only when a steady state of the electrical resistance is achieved, the bulk conductivity of a sample can be measured properly. The time-independent electrical conductivity were found only after 200 h of annealing time at a desired temperature.
Usually, the measurements of a dihedral angle on grain-liquid interfaces in rocks show that the wetting of grain faces start to develop at temperatures slightly above the solidus temperature. The development of these faces should lead to a continuous melt network even at small melt fractions of few wt.%. This result is not confirmed by our electrical conductivity measurements. The complete interconnection of the melt phase, which was mark by an increase of the electrical conductivity, corresponds to a temperature significantly above the solidus temperature, for at least 30-50˚C. The development of these faces stimulate a significant increase of the electrical conductivity, and corresponds to the occurence of at least 5 wt.% of a melt fraction. This result could be explained by deviations from the textural equilibrium of a melt phase topology in partially molten samples due to heterogeneous grain size distribution, misorientation of grains and anisotropy of the superficial energy of adjacent grain boundaries.
Some mixing models that allow to calculate the electrical conductivity of a composite as a function of a melt fraction were examined and the results of these calculations are discussed.
The experimental results were compared to the conductivity data obtained from magnetotelluric and electromagnetic measurements in the Northern part of mid-Atlantic ridge where a series of magma chambers are presumably located. There is a good agreement between our conductivity values for a melt fraction of 10-13 the conductivity estimated in the Reykjanes ridge zone.
The equation of state (EoS) of matter at extremely high temperatures and densities is currently not fully understood, and remains a major challenge in the field of nuclear physics. Neutron stars harbor such extreme conditions and therefore serve as celestial laboratories for constraining the dense matter EoS. In this thesis, we present a novel algorithm that utilizes the idea of Bayesian analysis and the computational efficiency of neural networks to reconstruct the dense matter equation of state from mass-radius observations of neutron stars. We show that the results are compatible with those from earlier works based on conventional methods, and are in agreement with the limits on tidal deformabilities obtained from the gravitational wave event, GW170817. We also observe that the resulting squared speed of sound from the reconstructed EoS features a peak, indicating a likely convergence to the conformal limit at asymptotic densities, as expected from quantum chromodynamics. The novel algorithm can also be applied across various fields faced with computational challenges in solving inverse problems. We further examine the efficiency of deep learning methods for analyzing gravitational waves from compact binary coalescences in this thesis. In particular, we develop a deep learning classifier to segregate simulated gravitational wave data into three classes: signals from binary black hole mergers, signals from binary neutron star mergers, or white noise without any signals. A second deep learning algorithm allows for the regression of chirp mass and combined tidal deformability from simulated binary neutron star mergers. An accurate estimation of these parameters is crucial to constrain the underlying EoS. Lastly, we explore the effects of finite temperatures on the binary neutron star merger remnant from GW170817. Isentropic EoSs are used to infer the frequencies of the rigidly rotating remnant and are noted to be significantly lower compared to previous estimates from zero temperature EoSs. Overall, this thesis presents novel deep learning methods to constrain the neutron star EoS, which will prove useful in future, as more observational data is expected in the upcoming years.
Das westphälische Modell für Staatsinstitutionen, einschließlich nationaler Exekutive, Legislative und Judikative, hat sich aus den Ereignissen europäischer Geschichte heraus entwickelt. Seit dem Ende des Kalten Krieges dient es als grundlegendes Paradigma für Internationale Interventionen zum Wiederaufbau von gescheiterten - oder zum Aufbau von neuen - Staaten. Für die internationale Gemeinschaft fungiert das westphälische Modell als Maß zur Beurteilung ihrer Interventionen, wie zum Beispiel in Somalia, Kambodscha oder den Balkanstaaten. In den meisten Fällen gilt eine durch sie beaufsichtigte oder gar durchgeführte ‚freie und faire’ Wahl als hauptsächliche Massnahme zur Bildung eines ‚westphälischen’ und demokratischen Staates. Die Erfolgsrate solcher internationalen Friedenseinsätze und ‚state-building operations’ ist jedoch enttäuschend. Bei näherer Betrachtung der Misserfolge des letzten Jahrzehnts wird deutlich, daß sich die lokalen Gesellschaftssysteme der betroffenen Bevölkerungen oft beträchtlich von liberaler Demokratie unterscheiden. Dies ist insbesondere der Fall in Gesellschaften deren Ordnung nicht auf Staatsinstiutionen basiert. Ihnen liegen sozio-politische Systeme zugrunde die sich oft mit dem Paradigma des westlichen Staatssystems nur schwer vereinen lassen. Um im Rahmen internationaler Friedenseinsätze erfolgreich Staatstrukturen zu etablieren, ist es daher notwendig lokale Sozialstrukturen und lokale Konzepte politischer Legitimität und Autorität zu addressieren. Erst mit solchem Verständnis ist es möglich einen Staatsapparat in den Augen der Bevölkerung zu legitimieren. Ist Letzteres nicht der Fall, so kann sich eine Regierung zwar in Übereinstimmung mit internationalen Menschenrechten befinden, oder alle wichtigen demokratischen Einrichtungen vorweisen, jedoch dennoch dem Prinzip der Partizipation durch die Bevölkerung widersprechen. Ist dies das Endresultat eines internationalen Friedenseinsatzes, so hat die internationale Gemeinschaft ihre eigenen Werte bestaetigt. Jedoch herrscht kein Vertrauen zwischen der Bevölkerung und Regierung, da letztere nicht kompatibel mit dem Versaendnis der Bürger ist. Der ‚demokratische’ Staat ist nur schwerlich funktionsfähig.Der internationale Einsatz in Osttimor illustriert dieses Problem. Hier wurden die Vereinten Nationen (VN) mit dem Wiederaufbau und der Verwaltung eines Staates betraut (UNTAET ‚Übergangsregierung der Vereinten Nationen in Osttimor’). Zum ersten mal in der Geschichte übernahm die international Gemeinschaft damit die Souveränität über ein territoriales Gebiet...
The nucleus reuniens drives hippocampal goal‑directed trajectory sequences for route planning
(2023)
Goal-directed spatial navigation requires accurate estimates of one’s position and destination, as well as careful planning of a route between them to avoid known obstacles in the environment. Despite its general importance across species, the neural circuitry supporting the ability for route planning remains largely unclear. Previous studies described that place cells in the hippocampal CA1 encode the animal's next movement direction (Wood et al., 2000; Ito et al., 2015) and upcoming navigational routes (Pfeiffer & Foster, 2013). However, it has been shown that part of the CA1 activity representing the animal’s future behaviors is not necessarily generated in the hippocampus, but is derived from the medial prefrontal cortex (PFC) via the nucleus reuniens of the thalamus (RE) (Ito et al., 2015). Notably, the importance of the PFC in navigation has been demonstrated in several studies, including the recent finding of a goal map in the orbitofrontal cortex (Basu et al., 2021). Therefore, I hypothesized that information flow from the PFC to CA1 via the RE plays a key role in route planning.
To assess the animals' route planning ability, I designed a new navigation task in which a rat has to navigate to a fixed target location from various starting positions in an arena. Furthermore, by adding an L-shaped wall in the maze and removing all light sources in the experimental room, this task forced the animals to plan a wall-avoiding route without relying on direct sensory perceptions. I confirmed that rats could learn this task successfully, memorizing the wall location and taking a smooth wall-avoidance route. To test the role of the RE, I inactivated RE neurons by expressing the inhibitory opsin SwiChR++, which resulted in a significant deficit in the animal’s route planning ability, taking a longer non-smooth path to the destination. By contrast, this manipulation did not affect navigation performance when a straight goal-directed route was available, suggesting a specific role of the RE in route planning. I further found that DREADDs-mediated inactivation of neurons in the bilateral hippocampi resulted in a similar deficit in route planning ability, implying cooperation between the RE and the hippocampus.
I finally examined the activity of hippocampal CA1 neurons with and without RE inactivation. While neurons in the hippocampus exhibited brief trajectory sequences corresponding to the animal’s subsequent goal-directed journey, I found that this goal-directed bias of trajectory events was significantly reduced by RE inactivation, likely associated with route-planning deficits in these animals.
Altogether, this dissertation demonstrates the role of the RE from both behavioral and neural coding perspectives, identifying a pivotal circuit element supporting the animal’s route-planning ability.