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Gravitropism is a fundamental process in plants that allows shoots to grow upward and roots to grow downward. Protein phosphorylation has been postulated to participate in the intricate signaling cascade of gravitropism. In order to elucidate the underlying mechanisms governing the gravitropic signaling and unearth novel protein constituents, an exhaustive investigation employing microgravity-induced phosphoproteomics was undertaken. The significantly phosphorylated proteins unraveled in this study can be effectively divided into two groups through clustering analysis. Furthermore, the elucidation of Gene Ontology (GO) enrichment analysis disclosed the conspicuous overrepresentation of these clustered phosphoproteins in cytoskeletal organization and in hormone-mediated responses intimately intertwined with the intricate phenomenon of gravitropism. Motif enrichment analysis unveiled the overrepresentation of [-pS-P-] and [-R-x-x-pS-] motifs. Notably, the [-pS-P-] motif has been suggested as the substrate for the Casein kinase II (CK II) and Cyclin-dependent kinase (CDK). Kinase-inhibitor assays confirmed the pivotal role played by CK II and CDK in root gravitropism. Mutant gravitropism assays validated the functional significance of identified phosphoproteins, with some mutants exhibiting altered bending kinetics using a custom-developed platform. The study also compared phosphoproteomics data from different platforms, revealing variations in the detected phosphopeptides and highlighting the impact of treatment differences. Furthermore, the involvement of TOR signaling in microgravity-induced phosphorylation changes was uncovered, expanding the understanding of plant gravitropism responses.
To fulfill the large-scale verification of interesting candidates from the phosphoproteomics study, a novel root and hypocotyl gravitropism phenotyping platform was developed. This platform integrated cost-effective hardware, including Raspberry Pi, a high-quality camera, an Arduino board, a rotation stage (obtained from Prof. Dr. Maik Böhmer), and programmable green light (modified by Sven Plath). In addition, through collaboration with a software developer, machine-learning-based software was developed for data analysis. This platform tested the gravitropic response of candidate mutants identified in the phosphoproteomics study. Furthermore, the capabilities of this platform were expanded to investigate tropisms in other species and organs. To find novel proteins that might act as partners of a key protein that is involved in gravitropism signaling, ALTERED RESPONSE TO GRAVITY 1 (ARG1), immunoprecipitation coupled with Mass Spectrometry (IP-MS) was performed and identified ARG1-LIKE1 (ARL1) as a potential interacting protein with ARG1. This interaction was further confirmed through in vivo pull-down assays and bimolecular fluorescence complementation assays. In addition, the interaction between ARG1 and HSP70-1 was also validated.
Overall, this thesis sheds light on the molecular components and signaling events involved in plant gravitropism. It contributes to existing knowledge and opens up new ways to investigate this fascinating area of plant biology.
Electrospinning is an advanced method for the generation of polymer-based fibers. This fabrication technique has gained great interest in the biomedical field in recent years due to its straightforward application and significant versatility of the resulting fiber mats. The process is carried out by dissolving a (biologically or synthetically derived) polymer or a combination of several polymers in a suitable inorganic or organic solvent and transferring these solutions into a syringe with a needle tip as a spinneret. The power source is connected to the syringe tip, allowing for the application of a high voltage to the polymer solution, and a metallic collector, often a rotating drum cylinder on which the yielded polymer fibers are deposited. The usual fiber diameters range between nano- and micrometers. The yielded fiber mats have distinct characteristics, such as a large surface area, mechanical stability, and good encapsulation efficiency. Therefore, the fiber mats can be used as a topical dosage form for a multitude of diseases (e.g., conjunctivitis, keratitis), as they can be easily applied on or into the human body to release the drug for a prolonged period of time. In addition, the fibers exhibit a high degree of resemblance with the human extracellular matrix, which consists predominantly of collagen fibrils. Therefore, the obtained fiber mats can also be employed as innovative substrates for the cultivation of cells. As a result, electrospinning is suitable for a wide range of applications in the biomedical context, specifically for the targeted, topical delivery of bioactives and also as a cell culture substrate for the cultivation of cells in an enhanced in vivo relevant situation.
One objective of this work was the development and characterization of drug-loaded electrospun fibers for application to the inflamed and infected eye to complement the existing therapy of eye drops as well as systemic administration of anti-infectives. In particular, the focus of the project was the development of ocular implants to treat a herpes simplex infection affecting the human cornea. Additionally, electrospun fibers, which immediately dissolve in the tear fluid upon application and prolong the contact time of the bioactives at the eye, were developed as a topical dosage form to treat bacterial conjunctivitis. An additional objective of this work was the development of electrospun fiber mats as an innovative substrate for the cultivation of human induced pluripotent stem cells to mimic the human blood-brain barrier in vitro. The final objective of the present work was establishing an analytical concept for the comprehensive characterization of electrospun fibers to obtain a greater comparability and reproducibility of data and results from different laboratories.
Herpes simplex keratitis is a viral disease of the cornea that can potentially lead to blindness. This disease commonly occurs after corneal transplantation. As the cornea is the most transplanted tissue worldwide, the incidence of this disease varies from 4.9% to 12.6% (high- and low-income countries). The current therapy involves the application of eye drops as many as six times a day, and in severe cases, the systemic use of antiviral agents is necessary but can cause serious side effects (e.g., renal failure). To prevent the occurrence of herpes simplex keratitis after transplantation, a biodegradable electrospun nanofiber mat with a sustained release of acyclovir was established. The rational development of the fibers was facilitated by correlating the surface wettability with the release kinetics of the individual polymers, which allowed for the successful generation of fiber mats releasing the bioactive acyclovir over three weeks. The molecularly dispersed drug is present as an amorphous solid dispersion within the PLGA-based polymer matrix. Evaluating the cell viability in in vitro models proved that neither acyclovir nor the polymers or the generated fiber mats caused any cytotoxicity. The mechanical stability of the fiber mats was evaluated to ensure adequate handling of the fibers during implantation. The findings demonstrated that the fiber mats exhibit direction-independent mechanical properties, and their mechanical load-bearing capacity is greater than that of an excised human cornea. As a result, the fiber mats are suitable for surgical implantation into the anterior chamber of the eye. An in vitro model of human keratinocytes was infected with herpes simplex virus to demonstrate the antiviral efficacy of the electrospun fiber mats. Immunostaining for two specific viral proteins demonstrated the spread of infection in the model. Hereby, it was found that the placebo- and drug-loaded fibers significantly slowed the spread of infection, which was quantified by plaque assay determination. This experiment revealed that the electrospun fibers exert a synergistic antiviral effect by simultaneously releasing acyclovir, which is a virustatic agent that inhibits the replication of the virus in infected cells, and adsorbing released viral particles onto the surface of the polymer fibers. This reduces the overall burden of released viral particles, which is associated with the severity of the infection outbreak. Thus, with the aid of electrospinning, an ocular implant was successfully generated, which is biodegradable over time and significantly reduces the viral particle burden in vitro. Hence, the fibers represent a potential alternative for the prevention of herpes simplex keratitis after corneal transplantation...
In this work I investigate two different systems - spin systems and charge-density-waves. The same theoretical method is used to investigate both types of system. My investigations are motivated by experimental investigations and the goal is to describe the experimental results theoretically. For this purpose I formulate kinetic equations starting from the microscopical dynamics of the systems.
First of all, a method is formulated to derive the kinetic equations diagrammatically. Within this method an expansion in equal-time connected correlation functions is carried out. The generating functional of connected correlations is employed to derive the method.
The first system to be investigated is a thin stripe of the magnetic insulator yttrium-iron-garnet (YIG). Magnons are pumped parametrically with an external microwave field. The motivation of my theoretical investigations is to explain the experimental observations. In a small parameter range close to the confluence field strength where confluence processes of two parametrically pumped magnons with the same wave vector becomes kinematically possible the efficiency of the pumping is reduced or enhanced depending on the pumping field strength. Because it is expected that that confluence and splitting processes of magnons are essential for the experimental observations I go beyond the kinetic theories that are conventionally applied in the context of parametric excitations in YIG and investigate the influence of cubic vertices on the parametric instability of magnons in YIG.
Furthermore, the influence of phonons is investigated. Usually in the literature these are taken into account as heat bath. Here, I want to explain experiments where an accumulation of magnetoelastic bosons - magnon-phonon-quasi-particles - has been observed. I employ the method of kinetic equations to investigate this phenomenon theoretically. The kinetic theory is able to reproduce the experimental observations and it is shown that the accumulation of magnetoelastic bosons is purely incoherent.
Finally, charge-density waves (CDW) in quasi-one-dimensional materials will be investigated. Charge-density waves emerge from a Peierls-instability and are a prime example for spontaneous symmetry breaking in solids. Again, the motivation for my theoretical investigations are an experiment where the spectrum of amplitude and phase phonon modes has been measured. Starting from the Fröhlich-Hamiltonian I derive kinetic equations and from these kinetic equations the equations of motion for the CDW order parameter can be derived. The frequencies and damping rates of amplitude and phase phonon modes will be derived from the linearized equations of motion. I compare my theory with existing methods. Furthermore, I also investigate the influence of Coulomb interaction.
This thesis investigates exotic phases within effective models for strongly interacting matter.
The focus lies on the chiral inhomogeneous phase (IP) that is characterized by a spontaneous breaking of translational symmetry and the moat regime, which is a precursor phenomenon exhibiting a non-trivial mesonic dispersion relation.
These phenomena are expected to occur at non-zero baryon densities, which is a parameter region that is mostly non-accessible to first-principle investigations of Quantum chromodynamics (QCD).
As an alternative approach, we consider the Gross-Neveu (GN) and Nambu-Jona-Lasinio (NJL) model within the mean-field approximation, which can be regarded as effective models for QCD.
We focus on two aspects of the moat regime and the IP in these models.
First, we investigate the influence of the employed regularization scheme in the (3+1)-dimensional NJL model, which is nonrenormalizable, i.e., the regulator cannot be removed.
We find that the moat regime is a robust feature under change of regularization scheme, while the IP is sensitive to the specific choice of scheme.
This suggests that the moat regime is a universal feature of the phase diagram of the NJL model, while the IP might only be an artifact of the employed regulator.
Second, we study the influence of the number of spatial dimensions on the emergence of the IP.
To this end, we investigate the GN model in noninteger spatial dimensions d.
We find that the IP and the moat regime are present for d < 2, while they are absent for d > 2.
This demonstrates the central role of the dimensionality of spacetime and illustrates the connection of previously obtained results in this model in integer number of spatial dimensions.
Moreover, this suggests that the occurrence of these phenomena in three spatial dimensions is solely caused by the finite regulator.
In summary, this thesis contributes to advancing our understanding of the phase structure of QCD, particularly regarding the existence and characteristics of inhomogeneous phases and the moat regime.
Even though the investigations are performed within effective models, they provide valuable insight into the aspects that are crucial for the formation of an inhomogeneous chiral condensate in fermionic theories.
In this thesis, we present a detailed consideration of both qualitative and quantitative properties of static spherically symmetric solutions of the Einstein equations with self-interacting scalar fields. Our focus is on solutions with naked singularities. We study the qualitative properties of the solutions of the Einstein equations with real static self-interacting $N$ scalar fields, making some assumptions on self-interaction. We provide a rigorous proof that the corresponding solutions will be regular up to $r=0$. Furthermore, we find the rigorous form of asymptotic solutions near the singularity and at spatial infinity. We construct some examples of spherical-like naked singularities at $r=r_s\neq0$ in curvature coordinates.
We analyze the stability of the previously considered solutions against odd-parity gravitational perturbations and also examine the fundamental quasi-normal modes spectra. For the general class of the self-interaction potential, we demonstrate well-posedness of the initial problem and stability for positively defined potentials. As an example, we numerically study the case of the scalar field with power-law self-interaction potential and find the fundamental quasi-normal modes frequencies. We demonstrate that they differ from the standard Schwarzschild black hole case.
We study in detail the motion of particles in the vicinity of previously considered solutions. Mainly, we are interested in considering properties of the distribution of stable circular orbits around the corresponding configurations and images of the accretion disk for a distant observer. For all cases, we find possible types of stable circular orbit distributions and domains of parameters where they are realized.
We also demonstrate that the presence of self-interaction can lead to a new type of circular orbit distributions, which is absent in the linear massless scalar field case. We build Keplerian disk images in the plane of a distant observer and demonstrate the possibility to mimic the shadows of black holes.
By combining two unique facilities at the Gesellschaft fuer Schwerionenforschung (GSI), the Fragment Separator (FRS) and the Experimental Storage Ring (ESR), the first direct measurement of a proton capture reaction of stored radioactive isotopes was accomplished. The combination of well-defined ion energy, an ultra-thin internal gas target, and the ability to adjust the beam energy in the storage ring enables precise, energy-differentiated measurements of the (p,gamma) cross sections. The new setup provides a sensitive method for measuring (p,gamma) reactions relevant for nucleosynthesis processes in supernovae, which are among the most violent explosions in the universe and are not yet well understood. The cross sections of the 118Te(p,gamma) and 124Xe(p,gamma) reactions were measured
at energies of astrophysical interest. The heavy ions were stored with energies of 6 MeV/nucleon and 7 MeV/nucleon and interacted with a hydrogen gas-jet target.
The produced proton-capture products were detected with a double-sided silicon strip detector. The radiative recombination process of the fully stripped ions and electrons from the hydrogen target was used as a luminosity monitor.
Additionally, post-processing nucleosynthesis simulations within the NuGrid [1] research platform have been performed. The impact of the new experimental results on the p-process nucleosynthesis around 124Xe and 118Te in a core-collapse supernova was investigated. The successful measurement of the proton capture cross sections of radioactive isotopes rises the motivation to proceed with experiments in lower energy regions.
[1] M. Pignatari and F. Herwig, “The nugrid research platform: A comprehensive simulation approach for nuclear astrophysics,” Nuclear Physics News, vol. 22, no. 4, pp. 18–23, 2012.
In this thesis, the early time dynamics in a heavy ion collision of Pb-Nuclei at LHC center-of-mass energies of 5 TeV is studied. Right after the collision the system is out-of-equilibrium and essentially gluon dominated, with their density saturating at a specific momentum scale Q_s. Based on a separation of scales for the soft and hard gluonic degrees of freedom, the initial state is given from an effective model, known as the Color Glass Condensate. Within this model, the soft gluons behave classical to leading order, making it possible to study their dynamics in gauge invariant fashion on a three dimensional lattice, solving Hamiltonian field equations of motion, keeping real time. Quark-Antiquark pairs are produced in the gluonic medium, known as the Glasma and manifest themselves as a source of quantum fluctuations.
They enter the dynamics of the gluons as a current, making the system semi-classical. In lattice simulations, the non-equilibrium system is tested for pressure isotropization, which is a necessary ingredient to reach a local thermal equilibrium (LTE), making a hydrodynamical description at a later stage possible. In addition, the occupation of energy modes is studied with its implications on thermalization and classicality.
A central concern in genetics is to identify mechanisms of transcriptional regulation. The aim is to unravel the mapping between the DNA sequence and gene expression. However, it turned out that this is extremely complex. Gene regulation is highly cell type-specific and even moderate changes in gene ex- pression can have functional consequences.
Important contributors to gene regulation are transcription factors (TFs), that are able to directly interact with the DNA. Often, a first step in understanding the effect of a TF on the gene’s regulation is to identify the genomic regions a TF binds to. Therefore, one needs to be aware of the TF’s binding preferences, which are commonly summarized in TF binding motifs. Although for many TFs the binding motif is experimentally validated, there is still a large number of TFs where no binding motif is known. There exist many tools that link TF binding motifs to TFs. We developed the method Massif that improves the performance of such tools by incorporating a domain score that uses the DNA binding domain of the studied TF as additional information.
TF binding sites are often enriched in regulatory elements (REMs) such as promoters or enhancers, where the latter can be located megabases away from its target gene. However, to understand the regulation of a gene it is crucial to know where the REMs of a gene are located. We introduced the EpiRegio webserver that holds REMs associated to target genes predicted across many cell types and tissues using STITCHIT, a previously established method. Our publicly available webserver enables to query for REMs associated to genes (gene query) and REMs overlapping genomic regions (region query). We illus- trated the usefulness of EpiRegio by pointing to a TF that occurs enriched in the REMs of differential expressed genes in circPLOD2 depleted pericytes. Further, we highlighted genes, which are affected by CRISPR-Cas induced mutations in non-coding genomic regions using EpiRegio’s region query. Non-coding genetic variants within REMs may alter gene expression by modifying TF binding sites, which can lead to various kinds of traits or diseases. To understand the underlying molecular mechanisms, one aims to evaluate the effect of such genetic variations on TF binding sites. We developed an accurate and fast statistical approach, that can assess whether a single nucleotide polymorphism (SNP) is regulatory. Further, we combined this approach with epigenetic data and additional analyses in our Sneep workflow. For instance, it enables to identify TFs whose binding preferences are affected by the analyzed SNPs, which is illustrated on eQTL datasets for different cell types. Additionally, we used our Sneep workflow to highlight cardiovascular disease genes using regulatory SNPs and REM-gene interactions.
Overall, the described results allow a better understanding of REM-gene interactions and their interplay with TFs on gene regulation.
Understanding the brain's proactive nature and its ability to anticipate the future has been a longstanding pursuit in philosophy and scientific research. The predictive processing framework explains how the brain generates predictions based on environmental regularities and adapts to both predicted and unpredicted events. Prediction errors (PE) occur when sensory evidence deviates from predictions, triggering cognitive and neural processes that enhance learning and subsequent memory. However, the effects of PE on episodic memory have not been clearly explained. This dissertation aims to address three key questions to advance our understanding of PE and episodic memory. First, how does the degree of PE influence episodic memory, and how do expected and unexpected events interact in this process? Second, what insights can be gained from studying the electrophysiological activity associated with prediction violations, and what role does PE play in subsequent memory benefits? Lastly, how do memory processes change across the lifespan, and how does this impact the brain's ability to remember events? By answering these questions, this dissertation contributes to advancing our understanding of the cognitive and neural mechanisms underlying the relationship PE and episodic memory.
Das Experiment ALICE (A Large Ion Collider Experiment) am CERN (Conseil Européen pour la Recherche Nucléaire) LHC (Large Hadron Collider) fokussiert sich auf die Untersuchung stark wechselwirkender Materie unter extremen Bedingungen. Solche Bedingungen existierten wenige Mikrosekunden nach dem Urknall, als die Temperaturen so hoch waren, dass Partonen (Quarks und Gluonen) nicht zu farbneutralen Hadronen gebunden waren. In solch einem Quark-Gluon-Plasma können sich die Partonen frei bewegen, wobei sie allerdings mit anderen Partonen aus dem Medium stark wechselwirken. Am LHC werden Bleikerne auf ultra-relativistische Energien von bis zu 2.68 TeV beschleunigt und zur Kollision gebracht, wobei für weniger als 10 fm/c ein QGP entsteht, das schnell expandiert. Die Partonen hadronisieren, wenn das QGP sich auf Temperaturen von weniger als der Phasenübergangstemperatur von ≈155MeV abkühlt. Die finalen Teilchen- und Impulsverteilungen werden werden vom ALICE Detektor gemessen und geben Aufschluss auf elementare Prozesse im QGP.
Die TPC (Time Projection Chamber ) ist eines der wichtigsten Detektorsysteme von ALICE. Sie trägt maßgeblich zur Rekonstruktion von Teilchenspuren und zur Identifikation der Teilchensorten bei mittleren Rapiditäten bei. Die TPC ist eine große zylindrische Spurendriftkammer und besteht aus einem 88mˆ3 großen Gasvolumen, das von der zentralen Hochspannungselektrode in zwei Seiten geteilt wird. Durchquert ein Teilchen das Gasvolumen, ionisiert es entlang seiner Spur eine spezifische Menge von Gasatomen. Die Ionisationselektronen driften entlang des extrem homogenen elektrischen Feldes zu den Auslesekammern an den Endkappen auf beiden Seiten der TPC. Die Messung der Position und der Menge der Ionisationselektronen erlaubt die Rekonstruktion der Teilchenspur sowie, in Kombination mit der Impulsmessungen über die Krümmung der Teilchenspur im Magnetfeld, die Bestimmung der Teilchensorte über den spezifischen Energieverlust pro Wegstrecke im Gas. Das Gasvolumen der TPC war in LHC Run 1 (2010–2013) mit Ne-CO_2 (90-10) gefüllt. Die Gasmischung wurde zu Ar-CO_2 (88-12) für Run 2 (2015–2018) geändert. Als Auslesekammern wurden Vieldrahtproportionalkammern verwendet, die aus einer segmentierten Ausleseebene, einer Anodendrahtebene, einer Kathodendrahtebene und einem Gating-Grid (GG) bestehen. Das GG is eine zusätzliche Drahtebene, die durch zwei verschiedene Spannungseinstellungen transparent oder undurchlässig für Elektronen und positive Ionen geschaltet werden kann.
In den ersten Daten von Run 2 bei hohen Interaktionsraten wurden große Verzerrungen der gemessenen Spurpunkte beobachtet, die auf Grund von Verzerrungen des Driftfeldes auftreten und nicht von Daten aus Run 1 bekannt waren. Diese Verzerrungen treten nur sehr lokal an den Grenzen von manchen der inneren Auslesekammern (IROCs) auf. Zudem wurden auch große Verzerrungen in einer (C06) der äußeren Auslesekammern (OROCs) festgestellt, die sich bei einem bestimmten Radius über die ganze Breite der Kammer erstrecken. Die Ergebnisse dieser Arbeit befassen sich mit der Untersuchung jener Verzerrungen und ihrer Ursache, sowie mit der Entwicklung von Strategien um die Verzerrungen zu minimieren.
Messungen der Verzerrungen in den IROCs und Vergleiche mit Simulationen lassen darauf schließen, dass die Verzerrungen von positiver Raumladung hervorgerufen werden, die durch Gasverstärkung an sehr begrenzten Regionen der Auslesekammern entsteht und sich durch das Driftvolumen bewegt. Es werden charakteristische Abhängigkeiten von der Interaktionsrate sowie systematische Veränderungen bei Umkehrung der Orientierung des Magnetfeldes gemessen. Eine erneute Analyse von Run 1 Daten mit den Methoden aus Run 2 zeigt, dass die Verzerrungen bereits in Run 1 auftraten, jedoch durch die Ne-Gasmischung und niedrigere Interaktionsraten um eine Größenordnung kleiner waren. Neue Daten aus Run 2, für die die Gasmischung zeitweise wieder von Ar-CO_2 zu Ne-CO_2- N_2 geändert wurde, bestätigen die Ergebnisse der Run 1 Datenanalyse. Der Ursprung der Raumladung wird systematisch eingegrenzt. Es werden einzelne IROCs identifiziert, an deren Anodendrähten die Raumladung entsteht. Physikalische Modelle ermöglichen es, die Entstehung der Raumladung auf das Volumen zurückzuführen, das sich zwischen zwei IROCs befindet. Damit besteht die Vermutung, dass einzelne Spitzen von Anodendrähten am äußeren Rand dieser IROCs in das Gasvolumen hineinragen und somit hohe elektrische Felder erzeugen, an denen Gasverstärkung stattfindet. Die positiven Ionen können dann ungehindert in das Driftvolumen gelangen. Um diesen Effekt zu unterdrücken, wird das Potential der Cover-Elektroden angepasst, die sich auf den Befestigungsvorrichtungen der Drahtebenen an den Kammerrändern befinden. Dadurch kann die Menge von Ionisationselektronen, die in das Volumen zwischen zwei IROCs hineindriftet und vervielfacht wird, eingeschränkt werden. Über elektro-statische Simulationen und Messungen wird eine Einstellung für das Cover-Elektroden-Potential gefunden, mit der die Verzerrungen auf 30 % reduziert werden können. Die Verzerrungen in OROC C06 entstehen durch positive Ionen, die aus der Verstärkungsregion in das Driftvolumen gelangen, da an dieser bestimmten Stelle zwei aufeinanderfolgende GG-Drähte den Kontakt verloren haben. Die Verzerrungen werden um mehr als einen Faktor 3 reduziert, indem die Hochspannung der Anodendrähte um 50 V und somit der Gasverstärkungsfaktor um einen Faktor 2 verringert wird und indem das Potential der noch funktionierenden GG-Drähte erhöht wird.
Zusammenfassend konnten die lokalen Raumladungsverzerrungen für die letzte Pb−Pb Strahlzeit von Run 2 auf weniger als 1cm bei den höchsten Interaktionsraten verringert werden. Zudem wurde der Anteil des von Raumladungsverzerrungen betroffenen Volumens der TPC signifikant verringert, sodass die ursprüngliche Auflösung der Spurrekonstruktion wieder erreicht werden konnte.
Influenza is a contagious respiratory disease caused by influenza A and influenza B viruses. The World Health Organisation (WHO) reports that annual influenza epidemics result in approximately 1 billion infections, 3 to 5 million severe cases, and 300 to 650 thousand deaths. Understanding hidden mechanisms that lead to optimal vaccine efficacy and improvement antiviral treatment strategies remain continuous and central tasks. First, regarding the immune response to vaccines and natural infections, the antibody response echoes the dynamics of diverse immune elements such as B-cells, and plasma cells. Also, responses reflect the processes for B-cells to gain and adapt affinity for the virus. Antibodies (Abs) that respond to the virus surface proteins, particularly to the hemagglutinin (HA), have been identified to protect against infection. The Abs responses binding to HA can be broadly protective as this protein is considerably accessible on the virion. When following sequential infections with similar influenza strains, i.e. two infections with different strains of a subtype, an enhanced breadth and magnitude of Abs response is developed, mainly after the second infection. The effect of being effective to new strains is called Abs cross-reaction.
On the other hand, as for antiviral treatment, the WHO currently approves the use of neuraminidase inhibitors (NIs) such as zanamivir and oseltamivir. Diverse research areas such as system biology, learning-based methods, control theory, and systems pharmacology have guided the development of modern treatment schemes. To do so, mathematical models are used to describe a wide range of phenomena such as viral pathogenesis, immune responses, and the drug's dynamics in the body. Drug dynamics are usually expressed in two phases, pharmacokinetics (PK) and pharmacodynamics (PD) - the PK/PD approach. These schemes leverage pre-clinical and clinical data through modeling and simulation of infection and drug effects at diverse levels. Under such a framework, control-based scheduling systems seek to tailor optimal antiviral treatment for infectious diseases. Thus, influenza treatment can be theoretically studied as a control-based optimization duty (about systems stability, bounded inputs, and optimality). Finally, towards real-world implementation, learning-based methods such as neural networks (NNs) can guide solving issues on the control-based performance. Using NNs as identifiers provide a setting to deal with infrequent measures and uncertain parameters for the control systems.
This thesis theoretically explores central mechanisms in influenza infection via modeling and control approaches. In the first project, we explore how and to what extent antibody-antigen affinity flexibility could guide the Abs cross-reaction in two sequential infections using a hypothetical family of antigens. The set of antigens generally represent strains of influenza, such as those of a subtype. Each antigen is composed of a variable and a conserved area, generically representing the structures of the HA, head, and stalk, respectively. We test diverse scenarios of affinity thresholds in the conserved and variable areas of the antigens. The Abs response reaches a high magnitude when using equivalent affinity thresholds in the conserved and variable areas during the first infection. However, improved cross-reaction is developed when slightly increasing the affinity threshold of the variable area for the second infection. Key mutations via affinity maturation is a feature that, together with affinity flexibility between infections, guides Abs cross-reaction in the model outcome. These results could correlate with studies pointing out that broad responses might be dependent on reaching specific mutations for getting affinity to a newly presented antigen while broadly reaching related antigens. The general platform may serve as a proof-of-concept for exploring fundamental mechanisms that favor the Abs cross-reaction.
In a second project, theoretical schemes are developed to combine impulsive and inverse optimal control strategies to address antiviral treatment scheduling. We present results regarding stability, passivity, bounded inputs, and optimality using impulsive action. The study is founded on mathematical models of the influenza virus (target-cell limited model) adjusted to data from clinical trials. In these studies, participants were experimentally infected with influenza H1N1 and treated with NIs. Results show that control-based strategies could tailor dosage and reduce the amount of medication by up to 44%. Also, control-based treatment reaches the efficacy (98%) of the current treatment recommendations by the WHO. Monte Carlo simulations (MCS) disclose the robustness of the proposed control-based techniques. Using MCS, we also explore the applicability to the individualized treatment of infectious diseases through virtual clinical trials. Furthermore, bounded control strategies are applied directly in drug dose estimation accounting for overdose prevention. Finally, due to the limitations of the available technology intended for clinical practice, we emphasize the necessity of developing system identifiers and observers for real-world applications.
In the third project, the problem of data scarcity and infrequent measures in the real world is handled by means of learning-based methods. System identification is derived using a Recurrent High Order Neural Network (RHONN) trained with the Extended Kalman filter (EKF). Lessons learned from impulsive control frameworks are taken to develop a neural inverse optimal impulsive control --neurocontrol. The treatment efficacy is tested for early (one day post-infection) and late (2 to 3 days post-infection) treatment initiation. The neurocontrol reaches an efficacy of up to 95% while saving almost 40% of the total drug in the early treatment. Robustness is tested via virtual clinical trials using MCS.
Lastly, taking all together, the schemes developed in this thesis for modeling the Abs cross-reaction and control-based treatment tailoring can be extended and adapted to explore similar phenomena in different respiratory pathogens, such as SARS-CoV-2.
Molecular oxygen (O2) is essential for numerous metabolic processes. Not surprisingly, hypoxia and the resulting adaptations play a pivotal role in pathophysiology, e.g., in cancer or in inflammatory diseases. Of note, myeloid cells are known to accumulate in hypoxic regions such as tumor cores or rheumatoid arthritis joints and may contribute to disease progression. While most studies so far concentrated on transcriptional adaptation by the hypoxia-inducible factors (HIF) 1 and 2 under short term hypoxia, prolonged oxygen deprivation and alternative post-transcriptional regulation are rather poorly investigated.
Consequently, the aim of the study was to generate a comprehensive overview of mRNA de novo synthesis and degradation and its contribution to total mRNA changes in monocytic cells in the course of hypoxia.
To this end, I used thiol-linked alkylation for the metabolic sequencing of RNA (SLAM-Seq) to characterize RNA dynamics under hypoxia. Specifically, I labeled monocytic THP-1 cells under normoxia (N), acute hypoxia (AH; 8 h 1% O2), or chronic hypoxia (CH; 72 h 1% O2) with 4-thiouridine (4sU), which allows for transcriptome-wide identification of de novo synthesized mRNAs and estimation of their half-lives. Total mRNA expression analyses revealed that most changes occurred under CH. Considering that HIF accumulation and resulting transcriptional regulation was shown to decline again under CH, I further analyzed the impact of RNA stability on gene expression. I observed a global reduction in RNA half-lives under hypoxia, indicative for the attenuation of energy-consuming protein synthesis upon oxygen deprivation. Moreover, I observed a subgroup of hypoxic destabilized transcripts with resulting decreased mRNA expression under CH, which consisted of 59 nuclear-encoded mitochondrial mRNAs. This might prevent futile production of new mitochondria under conditions, where mitochondria are even actively degraded to prevent production of detrimental reactive oxygen species.
While stability-regulated transcripts were mainly destabilized under hypoxia, the vast majority of differentially de novo synthesized transcripts were upregulated.
Functional analyses revealed not only hypoxia, but also cholesterol homeostasis and inflammatory response as top enriched terms, corroborating findings on total mRNA level. Focusing on hypoxia-altered cholesterol metabolism, I observed an 9 accumulation of early and a decrease in late cholesterol precursors, which are separated by several oxygen-dependent enzymatic steps. Although total cholesterol levels were only slightly reduced, my data indicate locally lowered endoplasmic reticulum (ER) cholesterol levels under hypoxia, which cause feedback activation of the ER cholesterol-sensing transcription factor sterol regulatory element-binding protein 2 (SREBP2) and induction of cholesterol biosynthesis enzymes. Interestingly, a broad range of interferon-stimulated genes (ISGs), mainly known for their antiviral function, was also induced under hypoxia with similar kinetics as SREBP2 targets, suggesting an immunometabolic crosstalk. While the availability of certain cholesterol biosynthesis intermediates as well as a direct involvement of SREBP2 seemed rather unlikely to cause hypoxic ISG induction, changes in intracellular cholesterol distribution appeared crucial for the hypoxic induction of chemokine-ISGs. Mechanistically, I found that MyD88-dependent toll-like receptor 4 (TLR4) signaling contributes to enhanced hypoxic ISG induction, likely sensitized by changes in cholesterol dynamics. Importantly, hypoxia amplified induction of chemokine-ISGs in monocytes upon treatment with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) spike protein via TLR4 similarly as after addition of infectious virus, which might contribute to systemic inflammation in hypoxemic patients with severe coronavirus disease-2019 (COVID-19).
Taken together, I comprehensively analyzed RNA dynamics in hypoxic monocytes. Specifically, I identified RNA stability as a modulating mechanism to limit production of mitochondria under oxygen-restricted conditions. Moreover, I characterized the immunometabolic crosstalk between disturbed cholesterol homeostasis and spontaneous induction of interferon (IFN)-signaling in hypoxic monocytes, which might contribute to systemic inflammation in severe cases of COVID-19.
Aim: The cytochrome P450 reductase (POR) along with the cytochrome P450 enzymes (CYP) are responsible for the metabolism of a multitude of metabolites important for the maintenance of tissue function. Defects in this system have been associated with cardiovascular diseases. These enzymes are known to produce vasoactive lipids that modulate vascular tone. The aim of this study was to identify the consequence of a loss in endothelial POR for vascular function.
Methods and Results: To identify the endothelial contribution of the POR/CYP450 system to vascular function, we generated an endothelial-specific, tamoxifen-inducible POR knockout mouse (ecPOR-/-). Under basal condition ecPOR-/- already exhibited endothelial dysfunction in aorta and mesenteric vessels (acetylcholine-dependent relaxation, LogEC50 -7.6M for CTR vs. -7.2M for ecPOR-/- in aorta) and lower nitric oxide levels in the plasma (CTR: 236.8 ±77.4; ecPOR-/- 182.8 ±34.1 nmol/L). This dysfunction was coupled to attenuated eNOS function detected by the heavy arginine assay and decreased eNOS phosphorylation on S1177. Furthermore, insulin-induced phosphorylation of the eNOS activator, AKT, was also attenuated in the aorta from ecPOR-/- mice as compared to control mice. CYP450-dependent EET production was lower in plasma, lung and aorta of ecPOR-/- mice and this was accompanied with increased levels of vasoconstriction prostanoids (lipidomics of aorta, plasma and lung freshly isolated from CTR and ecPOR-/- mice). MACE-RNAseq from these aortas also showed a significant increase in genes annotated to eicosanoid production. In an in vivo angiotensin II model, acute deletion of POR increased the blood pressure as measured by telemetry and tail cuff (137.4 ± 15.9 mmHg in WT; 152.1 ± 7.154 mmHg in ecPOR-/-). In a rescue experiment using the NSAID naproxen, the increase in blood pressure induced by deletion of endothelial POR was abolished.
Conclusion: Collectively, in endothelial cells POR regulates eNOS activity and orchestrates the metabolic fate of arachidonic acid towards the vessel dilating EETs and away from deleterious prostanoids. In the absence of POR this endothelial regulation is compromised leading to vascular dysfunction.
The role of USP22 in nucleic acid sensing pathways and interferon-induced necroptotic cell death
(2023)
Every day, living organisms are challenged by internal and external factors that threaten to bring imbalance to their tightly regulated systems and disrupt homeostasis, leading to degeneration, and ultimately death. More than ever, we face the challenge of combating diseases such as COVID-19 caused by infection with the SARS-CoV-2 coronavirus. It is therefore crucial to identify host factors that control antiviral defense mechanisms. In addition, in the fight against cancer, it is becoming increasingly important to identify markers that could be used for targeted therapy to influence cellular processes and determine cell fate.
As a deubiquitylating enzyme, ubiquitin specific peptidase 22 (USP22) mediates the removal of the small molecule ubiquitin, which is post-translationally added to target proteins, thereby regulating several important processes such as protein degradation, activation or localization. Through its deubiquitylating function, USP22 controls several biological processes such as cell cycle regulation, proliferation and cancer immunoresistance by modulating key proteins involved in these pathways. Lately, USP22 was reported to positively regulate TNFα-mediated necroptosis, an inflammatory type of programmed cell death, in various human tumor cell lines by affecting RIPK3 phosphorylation. In addition, USP22 as a part of the Spt-Ada-Gcn5 acetyltransferase (SAGA) transcription complex is known to regulate gene expression by removing ubiquitin from histones H2A and H2B. However, little is known about the role of USP22 in global gene expression.
In this study, we performed a genome-wide screen in the human colon carcinoma cell line HT-29 and identified USP22 as a key negative regulator of basal interferon (IFN) expression. We further demonstrated that the absence of USP22 results in increased STING activity and ubiquitylation, both basally and in response to stimulation with the STING agonist 2'3'-cGAMP, thereby affecting IFNλ1 expression and basal expression of antiviral ISGs. In addition, we were able to establish USP22 as a critical host factor in controlling SARS-CoV-2 infection by regulating infection, replication, and the generation of infectious virus particles, which we attribute in part to its role in regulating STING signaling.
In the second part of the study, we connected the findings of USP22-dependent regulation of IFN signaling and TNFα-induced necroptosis and investigated the role of USP22 during necroptosis induced by the synergistic action of IFN and the Smac mimetic BV6 in caspase-deficient settings. We identified USP22 as a negative regulator of IFN-induced necroptosis, which does not depend on STING expression, but relies on a yet unknown mechanism.
In summary, we identify USP22 as an important regulator of IFN signaling with important implications for the defense against viral infections and regulation of the necroptotic pathway that could be exploited for devising targeted therapeutic strategies against viral infections and related diseases like COVID-19, and advancing precision medicine in cancer treatment.
Necroptosis is an immunogenic form of programmed cell death characterized by plasma membrane accumulation of activated mixed lineage kinase domain-like (MLKL) that eventually leads to membrane disruption and release of danger-associated molecular patterns (DAMPs). Necroptotic cell death is tightly controlled by checkpoints, including compartmentalization as well as post-translational modifications (PTMs), like phosphorylation and ubiquitination of receptor-interacting protein kinase (RIPK) 1, RIPK3 and MLKL. Removal of plasma membrane-located activated MLKL via endocytosis or exocytosis can counteract necroptosis, but up till now, the exact mechanisms by which necroptosis is regulated downstream of MLKL activation and oligomerization are not fully understood.
Ubiquitination is a key post-translational modification that regulates various cellular processes including cell survival and cell death signaling via ubiquitination of RIPK1, RIPK3 and MLKL. M1-linked (linear) poly-ubiquitination is mediated exclusively by the linear ubiquitin chain assembly complex (LUBAC) which critically regulates cell fate and immune signaling via death receptors such as TNF receptor 1 (TNFR1).
In this study, we demonstrate that M1 poly-Ubiquitin (poly-Ub) increases during necroptosis which can be blocked by inhibition of LUBAC activity with the small-molecule HOIL-1-interacting protein (HOIP) inhibitor HOIPIN-8 or by loss of LUBAC catalytic subunit HOIP. Intriguingly, HOIPIN-8, as well as the HOIP inhibitor gliotoxin, and HOIP knockdown effectively prevent TNFα/smac mimetic/zVAD.fmk-induced necroptotic cell death in cells of human origin, without affecting necroptotic RIPK1 and RIPK3 phosphorylation, necrosome formation and oligomerization of phosphorylated MLKL. We demonstrate that HOIPIN-8 treatment inhibits MLKL translocation to intracellular membranes and accumulation in plasma membrane hotspots as well as MLKL exocytosis. We further confirm that HOIPIN-8 treatment suppresses necroptotic cell death in primary human pancreatic organoids (hPOs). Using time-lapse imaging and live/dead staining, we demonstrate loss of organoid structure and hPO cell death induced by smac mimetics and caspase inhibitors, thus providing a novel platform to investigate necroptosis in near physiological settings. Inhibition of LUBAC activity with HOIPIN-8 prevents hPO collapse and extends cell viability. Of note, loss of the M1 Ub-targeting deubiquitinating enzymes (DUBs) OTU DUB with linear linkage specificity (OTULIN) and cylindromatosis (CYLD) in human cell lines does not affect necroptosis induction and HOIPIN-8-mediated rescue of necroptosis. Intriguingly, inhibition of LUBAC activity with HOIPIN-8 does not block necroptotic cell death in murine cell lines.
Using massive analyses of cDNA ends (MACE)-seq-based global transcriptome analysis we confirm that necroptosis induces a pro-inflammatory cytokine profile which is dependent on LUBAC function and necroptotic signaling. Loss of LUBAC activity prevents the MLKL-dependent production and release of pro-inflammatory cytokines and chemokines.
Finally, we identify Flotillin-1 and -2 (FLOT1/2) as putative targets of necroptosis-induced M1 poly-Ub. Ubiquitin-binding in ABIN and NEMO (UBAN)-based pulldowns of M1 poly-ubiquitinated proteins revealed enrichment of FLOTs after necroptosis induction which is dependent on LUBAC activity and can be blocked with necroptosis inhibitors Nec-1s, GSK’872 and NSA, targeting RIPK1, RIPK3 and MLKL, respectively. Of note, loss of FLOT1/2 potentiates necroptosis suppression induced by LUBAC inhibition with HOIPIN-8.
Together, these findings identify LUBAC-mediated M1 poly-Ub as an important mediator of necroptosis and identify FLOTs as novel putative targets of LUBAC-mediated M1 poly-Ub during necroptosis. In addition, by modeling necroptosis in primary human organoids, we further expand the spectrum of experimental models to study necroptosis in human cellular settings.
This dissertation is concerned with the task of map-based self-localization, using images of the ground recorded with a downward-facing camera. In this context, map-based (self-)localization is the task of determining the position and orientation of a query image that is to be localized. The map used for this purpose consists of a set of reference images with known positions and orientations in a common coordinate system. For localization, the considered methods determine correspondences between features of the query image and those of the reference images.
In comparison with localization approaches that use images of the surrounding environment, we expect that using images of the ground has the advantage that, unlike the surrounding, the visual appearance of the ground is often long-term stable. Also, by using active lighting of the ground, localization becomes independent of external lighting conditions.
This dissertation includes content of several published contributions, which present research on the development and testing of methods for feature-based localization of ground images. Our first contribution examines methods for the extraction of image features that have not been designed to be used on ground images. This survey shows that, with appropriate parametrization, several of these methods are well suited for the task.
Based on this insight, we develop and examine methods for various subtasks of map-based localization in the following contributions. We examine global localization, where all reference images have to be considered, as well as local localization, where an approximation of the query image position is already known, which allows for disregarding reference images with a large distance to this position.
In our second contribution, we present the first systematic comparison of state-of-the-art methods for ground texture based localization. Furthermore, we present a method, which is characterized by its usage of our novel feature matching technique. This technique is called identity matching, as it matches only those features with identical descriptors, in contrast to the state-of-the-art that also matches features with similar descriptors. We show that our method is well suited for global and local localization, as it has favorable scaling with the number of reference images considered during the localization process. In another contribution, we develop a variant of our localization method that is significantly faster to compute, as it applies a sampling approach to determine the image positions at which local features are extracted, instead of using classical feature detectors.
Two further contributions are concerned with global localization. The first one introduces a prediction model for the global localization performance, based on an evaluation of the local localization performance. This allows us to quickly evaluate any considered parameter settings of global localization methods. The second contribution introduces a learning-based method that computes compact descriptors of ground images. This descriptor can be used to retrieve the overlapping reference images of a query image from a large set of reference images with little computational effort.
The most recent contribution included in this dissertation presents a new ground image database, which was recorded with a dedicated platform using a downward-facing camera. In addition to the data, we also explain our guidelines for the construction of the platform. In comparison with existing databases, our database contains more images and presents a larger variety of ground textures. Furthermore, this database enables us to perform the first systematic evaluation of how localization performance is affected by the time interval between the point in time at which the reference images are recorded and the point in time at which the query image is recorded. We find out that for outdoor areas all ground texture based localization methods have reliability issues, if the time interval between the recording of the query and reference images is large, and also if there are different weather conditions. These findings point to remaining challenges in ground texture base localization that should be addressed in future work.
Matroids are combinatorial objects that generalize linear independence. A matroid can be represented geometrically by its Bergman fan and we compare the symmetries of these two objects. Sometimes, the Bergman fan has additional automorphisms, which are related to Cremona transformations in projective space. Their existence depends on a combinatorial property of the matroid, as has been shown by Shaw and Werner, and we study the consequences for the structure of such matroids. This allows us to gain a better understanding of the so-called Cremona group of a matroid and we apply our results to root system matroids.
Um sich an ändernde Umwelteinflüsse und metabolische Bedürfnisse anpassen zu können, ist es für Zellen essenziell, dass Boten-RNA (engl. messenger RNA, mRNA) stetig und schnell nach der Translation abgebaut wird. In Prokaryoten ist dafür der Proteinkomplex Degradosom verantwortlich, in dem Endo- und Exoribonukleasen RNase E und PNPase das RNA-Transkript in kleinere Fragmente und schließlich einzelne Nukleotide spalten. Die DEAD-Box Helikase RhlB im Komplex dient zusätzlich dazu, mögliche Sekundärstrukturen in der RNA zu entfalten, welche sonst die weitere Degradation behindern würden. Es konnte gezeigt werden, dass RhlB’s sehr geringe katalytische Aktivität – gemessen durch ATP-Verbrauch und Rate an entwundener RNA – signifikant durch die allosterische Bindung an Komplexpartner RNase E erhöht wird. Gleichzeitig deuten andere Studien darauf hin, dass RhlB eine mögliche Selektivität für doppelsträngige RNA-Substrate mit 5‘-Einzelstrang-Überhängen aufweist.
Diese Arbeit liefert neue Erkenntnisse in Bezug auf die Kommunikation zwischen den Degradosom-Komponenten RhlB und RNase E aus E. coli, indem das potenzielle Wechselspiel zwischen RhlBs RNA-Selektivität und der allosterischen Aktivierung durch RNase E untersucht wurde. Der vielseitige Einsatz NMR-spektroskopischer Techniken sowie die Verwendung kurzer RNA-Substrate mit spezifischen Strang-Eigenschaften ermöglicht es, mit einen ungewöhnlichen, RNA-zentrierten Ansatz an diese unzureichend verstandene Protein-Interaktion heranzugehen.
Zunächst wurden hierzu eine Reihe kurzer doppelsträngiger RNA-Konstrukte hergestellt, die sich nicht nur in ihren Einzelstrang-Merkmalen unterscheiden, sondern auch die thermodynamischen Anforderungen eines DEAD-Box Helikase Substrats erfüllen, und gleichzeitig eine ausreichende NMR-spektroskopische Signal-Zuordnung erlauben. Die thermale Stabilität, das Faltungsverhalten sowie die 1H Imino-protonen- und 13C HSQC-Zuordnungen aller geeigneten Konstrukte wurden erfolgreich bestimmt.
Um den Einfluss spezifischer RNA-Substrate sowie die Bindung zweier verschiedener RNase E Fragmente auf RhlBs ATP-Umsatzrate zu untersuchen, wurde sich zunächst eines photometrischen Phosphat-Assays bedient. Damit konnte deutlich gezeigt werden, dass RhlB in Abwesenheit des Komplex-Partners nicht in der Lage ist, signifikante Mengen an ATP umzusetzen, unabhängig davon, welches RNA-Konstrukt eingesetzt wird. Die Bindung der RNase E Fragmente erhöhte signifikant die ATP-Hydrolyse-Rate der Helikase, wobei die größte Aktivierung für den RNA-Duplex mit 5‘-Einzelstrang sowie ein einzelsträngiges Substrat zu beobachten ist. Da diese Ergebnisse deutlich eine RNA-Abhängigkeit beim ATP-Umsatz der Helikase zeigen, wurde untersucht, ob diese Unterschiede ihren Ursprung bereits in der Bindung der spezifischen RNA-Substrate haben. Mittels einer Mischapparatur, die es erlaubt die enzymatische Reaktion direkt im Spektrometer zu initiieren sowie zeitaufgelöster 31P NMR-Experimente konnte die allosterische Aktivierung der ATP-Hydrolyse-Rate von RhlB auch unter NMR-spektroskopischen Messbedingungen nachgewiesen werden.
Da die Ergebnisse des ATPase Assays deutlich eine RNA-Abhängigkeit bei der ATP-Umsatz-Rate der Helikase zeigen, wurde zusätzlich untersucht, ob diese Unterschiede ihren Ursprung in den Affinitäten für die verschiedenen RNA-Substrate haben und ob diese durch die Bindung von RNase E and RhlB beeinflusst werden. Um im gleichen Zuge zu überprüfen, ob die Bindung der RNA an RhlB die RNA-Konformation oder Basenpaarung ändert, werden 1H NMR-Titrationsexperimente durchgeführt. Es konnte erstmals gezeigt werden, dass RhlB eine inhärente Präferenz für Duplexe mit 5‘-Überhang gegenüber Konstrukten mit 3‘-Überhang oder stumpfen Enden besitzt, was sich in einer erhöhten Affinität zeigt. Zusätzlich offenbaren die Messungen, dass RNase Es allosterische Bindung selektiv die Affinität gegenüber Konstrukten mit Einzelstrang-Überhang erhöht, während die Affinität zu RNA Duplexen ohne Überhang sogar verringert wird. Diese Ergebnisse liefern erstmals einen Nachweis, dass RNase E aktiv Einfluss auf RhlBs RNA-Bindung nimmt. Weder die Bindung der RNA and RhlB noch an den RhlB/RNase E Komplex scheint die Basenpaarung oder Konformation der RNA-Substrate zu beeinflussen, da lediglich eine homogene Peak-Verbreitung aller Imino-Protonen-Signale im 1H NMR-Spektrum beobachtet werden konnte.
The role of Apelin signaling and endocardial protrusions during cardiac development in zebrafish
(2023)
During cardiac development, cardiomyocytes (CMs) are delaminated from the compact muscle wall to increase the muscle mass of the heart. This process is also known as cardiac trabeculation. It has been shown that growth factors produced by endocardial cells (EdCs) are required for myocardial morphogenesis and growth. In particular, Neuregulin produced by EdCs promotes myocardial trabeculation. The deficiency of Neuregulin signaling leads to hypotrabeculation. Endocardial protrusions project from the endocardium to the myocardium are also essential for the trabeculae onset. Yet current studies only introduce the function of endocardial sprouts descriptively. This article first reports the mechanisms of endocardial sprouting during myocardial trabeculation. By living imaging, we first demonstrate that EdCs interact with CMs through membrane protrusions in zebrafish embryos. More interestingly, these protrusions stay in close contact with their target CMs in spite of the cardiac contraction. We utilize loss-of-function strategies to report the importance of myocardial apelin, which induces endocardial protrusion formation. Zebrafish lacking Apelin signaling exhibit defects in endocardial protrusion formation as well as excessive deposition of cardiac jelly and hypotrabeculation. Notably, we also present data that blocking protrusion formation in endocardial cells phenocopies the trabeculation defects in apelin mutants. Mechanistically, endocardial-derived Neuregulin requires Apelin signaling mediated endocardial protrusions, and Neuregulin dependent pERK expression is attenuated in the condition of reduced endocardial protrusion formation. Together, our data suggest that endocardial-myocardial communication through endocardial protrusions acts as an underlying principle allowing myocardial growth.
This research attempts to provide for an overview of the state of co-operation between the United Nations and regional organizations like the CoE, OSCE, EU and NATO during the last Yugoslav wars, considering the 1991-2008 period. In this case, the "reconstruction" of what the organisations did in each of the countries involved in the conflicts, the country-by-country approach used in writing the research and the consideration of both headquarters and field level should facilitate the understanding of the state of things at that time. The research further includes an analysis of the co-operative trends developed by the considered international organisations since the beginning of the 1990s and is concluded by a reflection on the normative relevance of the issue of "international cooperation". In this case, the intention of the author was to go beyond the general policy level approach used for the description of UN-regional organizations interaction and propose a re-consideration of the concept of "international co-operation" as a possible normative tool in guiding the so far nebulous division of tasks of international actors in conflict-related scenarios. In this case, the concise description of the general framework for co-operation under Chapter VIII of the UN Charter, already matter of wide debate by academics and practitioners, sets the frame for a more elaborate, and hopefully innovative, consideration of the notion of "international cooperation". This, of course, is to be contextualized to the lessons learned extrapolated from the case study.
Terahertz (THz) radiation lies between the micro and far-infrared range in the electromagnetic spectrum. Compared with microwave and millimeter waves, it has a larger signal bandwidth and extremely narrow antenna beam. Thus, it is easier to achieve high-resolution for imaging and detection applications. The unique properties, such as penetration for majority non-polar materials, non-ionizing characteristic and the spectral fingerprint of materials, makes THz imaging an appealing artifice in the military, biomedical, astronomical communications, and other areas. However, THz radiation’s current low power level and detection sensitivity block THz imaging system from including fewer optical elements than the visible or infrared range. This leads to imaging resolution, contrast, and imaging field of view degenerate and makes the aberration more serious. THz imaging based on the space Fourier spectrum detection is developed in this thesis to achieve high-quality imaging. The main concept of Fourier imaging is by recording the field distribution in the Fourier plane (focal plane) of the imaging system; the information of the target is obtained. The numerical processing method is needed to extract the amplitude and phase information of the imaged target. With additional process, three-dimensional (3D) information can be obtained based on the phase information. The novel recording and reconstructing ways of the Fourier imaging system enables it to have a higher resolution, better contrast, and broader field of view than conventional imaging systems such as microscopy and plane to plane telescopic imaging system.
The work presented in this thesis consists of two imaging systems, one is working at 300 GHz based on the fundamental heterodyne detection of the THz radiation, the other is operated at 600 GHz by utilizing the sub harmonic heterodyne detection technique. The realization and test of the heterodyne detection are based on the THz antenna-coupled field-effect transistor (TeraFET) detector developed by Dr. Alvydas Lisauskas. Both systems use two synchronized electronic multiplier chains to radiate the THz waves. One radiation works as the local oscillator (LO), the other works as illumination with a slight frequency shift, the radiations are mixed on the detector scanning in the Fourier plane to record the complex Fourier spectrum of the imaged target. The LO has the same frequency range as the illuminating radiation for fundamental heterodyne detection but half the frequency range for the sub-harmonic heterodyne detection. The 2-mm resolution, 60-dB contrast, and 5.5-cm diameter imaging area at 300 GHz and the of 500-μm resolution, 40-dB contrast, and 3.5-cm diameter imaging area at 600 GHz are achieved (the 300-GHz illuminating radiation has the approximate power of 600 μW , the 600-GHz illuminating radiation has the approximate power of 60 μW ).
The thesis consists of 6 parts. After the introduction, the second chapter expands on the topic of Fourier optics from a theoretical point of view and the simulations of the Fourier imaging system. First, the theory of the electromagnetic field propagation in free space and through an optical system are investigated to elicit the Fourier transform function of the imaging system. The simulation is used for theoretical considerations and the implementation of a Fourier optic script that allows for numerical investigations on reconstruction. The preliminary imaging field of view and resolution are also demonstrated. The third chapter describes the Fourier imaging system at 300 GHz based on the fundamental heterodyne detection, including the experimental setup, the 2D, and 3D imaging results. The following fourth chapter reports the integration of the TeraFET detector with two substrate lenses (one is a Si lens on the back-side Si substrate, the other is a wax/PTFE lens on the front side containing the bonding wires) for sub-harmonic heterodyne detection at 600 GHz. The characteristic of the wax/PTFE lens at THz range is presented. After that, the compared imaging results between the detector with and without the wax/PTFE lens are shown. The fifth chapter extends the demonstration on the lateral and depth resolution of the Fourier imaging system in detail and uses the experimental results at 600 GHz to validate the analytical predictions. The comparison of the resolution between the Fourier imaging system and the conventional microscopy system proves that the Fourier imaging system has better imaging quality under the same system configuration. The last chapter in this thesis concludes on the findings of the THz Fourier imaging and gives an outlook for the enhancement of the Fourier imaging system at THz range.
This dissertation investigates a special class of anaphoric form, yè, in Ewe known as the logophoric pronoun. This research makes a number of novel observations.
In the first chapter, I introduce the reader to the phenomenon under investigation as well as provide information on Ewe and its dialects and, methodology. In Chapter 2, I present the pronominal system of Ewe which is categorised into strong and weak forms following Cardinaletti & Starke (1994) and Agbedor (1996). The distribution of pronouns is outlined which sets the tone for an overview of logophoric marking. In this respect, I present variations in logophoric marking strategies cross linguistically and show that Ewe differs significantly from other pronouns in this category. In an effort to explain the deviant case of yè, I entertain the idea that yè is a pure logophoric pronoun in the sense of Clements (1975) and thus, its additional de re and strict interpretation does not imply non-logophoricity.
Chapter 3 demonstrates that yè is sensitive to contexts which portray the intention of an individual. Following Sells (1987), the antecedent of yè must have an intention to communicate. I broadly categorize logophoric contexts into reportative (direct-indirect speech) or non-reportative (speaker’s mental attitude, reporter’s observation or background knowledge of a situation). Based on this categorization, indirect speech report (Clements 1975), dis- course units such as a paragraph or an episode (Clements 1975), and sentential adjuncts such as purpose, causal and consequence clauses (Culy 1994a) are reviewed. The logophoric pro- noun occurs in the complement of attitude verbs (Clements 1975), also termed logocentric (à la (Stirling 1994)) or logophoric predicates (à la (Culy 1994a)) as well as with non-attitudinal verbs (e.g. va ‘come’ or wO ‘do’ as in sentential adjuncts). I argue contra Clements (1975) and Culy (1994a) that yè can occur with perception predicates. I further provide three new instances of non-reportative contexts which are compatible with yè namely, as-if clauses, benefactive na clauses and alesi ‘how’ clauses. I show, corroborating previous studies that contexts which are necessary for the licensing of yè include all of the aforementioned except causal clauses. Among these contexts, the complementizer be or regarding cases where there is no be, an element in C (due to the Doubly-Filled-Comp Filter (DFCF) c.f. Chomsky & Lasnik (1977)), is sufficient to license yè. Following Bimpeh & Sode (2021), yè is licensed by feature checking (in the spirit of von Stechow (2004)): be bears the interpretatble [log] feature which checks the uninterpretable [log] feature of yè. I include a redefinition of logophoricity as pertaining to Ewe.
Given the disparity found in the literature concerning the interpretation of yè: Ewedome (pronounce EVedome) has only de se readings (Bimpeh 2019); while ‘pure’ Ewe, Mina (variety of Ewe spoken in Togo) Pearson (2015), Danyi (O’Neill 2015) and Anlo (pronounced ANlO) (Satık 2019) has de re readings; chapter 4 aims at lending empirical support to the ungoing discussion by verifying the interpretation of yè. Two acceptability judgment tasks were conducted namely, truth value judgment task and binary forced choice task. The results corroborates Pearson (2012, 2015) and others’ discovery that yè has a de re interpretation in the Ewedome (contra Bimpeh (2019); Bimpeh et al. (2022)), Anlo and Tonu (pronounced TONu) dialects of Ewe.
In chapter 5, I discuss the relation between logophoricity (yè, yè a) and Control (PRO). I show that yè may be restricted to a set of verbs which obligatorily require the morpheme a ‘potential marker’ (Essegbey 2008), in subject position. This set of verbs are those that are known as control verbs c.f. (Landau 1999) in English. As a result of this restriction, research such as Satık (2019) claims that yè a is the overt instantiation of PRO in English. According to the Ewe facts, it appears as though on one hand, yè and PRO share similar properties in logophoric contexts and on the other hand, yè in combination with the potential marker, a also share properties with PRO in subject control environments. Against this background, I discuss the relation between yè, yè a and PRO and show that neither yè in isolation nor yè in combination with a, contrary to Satık (2019), is the overt instantiation of PRO. I clarify that the potential morpheme a is not cliticised or combined with the logophoric yè. The two forms are seperate morphemes. The potential marker a only shows up in control environments because a sub-class of verbs require it for grammaticality purposes. As such, the property of de se-ness does not come from yè by itself, yè a or a but rather from the sub-class of verbs which require the potential marker a...
Discrepancies between knockdown and knockout animal model phenotypes have long stood as a perplexing phenomenon. Several mechanisms explaining such observations have been proposed, namely the toxicity or the off-target effects of the knockdown reagents, as well as, in certain cases, genetic robustness – an organism's ability to maintain its phenotype despite genetic perturbations. In addition to these explanations, transcriptional adaptation (TA), a phenomenon defined as an event whereby a mutation in one gene leads to transcriptional upregulation or downregulation of another, adapting, gene or genes expression, has been recently proposed as an alternative explanation for the conflicting knockdown and knockout phenotype paradox.
Since its discovery in 2015, TA's precise mechanism remains a subject of ongoing research. Majority of evidence suggests that mutant mRNA degradation plays a central in TA. Epigenetic remodeling is also thought to play a role, as evidenced by an increase in active histone marks at the transcription start sites of the adapting genes. Whether mRNA degradation is indeed the key player in TA remains debated. Furthermore, it is still unknown how exactly TA develops, what adapting genes it targets, and whether genomic mutations that render mutant mRNA sensitive to degradation are required for TA to occur.
Throughout the experiments described in this Dissertation, I have designed an inducible TA system where TA can be triggered on demand and its effects on the cell’s transcriptome followed through time. I have demonstrated that degradation-prone transgenes, once induced and expressed, can be efficiently degraded, resulting in the protein loss-independent upregulation of adapting genes via TA. Adapting genes with higher degree of sequence similarity become upregulated faster than genes with lower degree of sequence similarity. Further functionality of this approach to study TA is limited by the leakiness of the inducible gene expression system; however, constitutively expressed degradation-prone transgenes were used to demonstrate TA in human cells.
In addition, I have developed an approach to target wild-type cytoplasmic mRNAs without altering the cell’s genome and reported a TA-like phenomenon, which manifested as adapting gene upregulation not relying on mutations in other genes. Cytoplasmic mRNA cleavage with CRISPR-Cas13d triggered a TA-like response in three different gene models: Actg1 knockdown, Ctnna1 knockdown, and Nckap1 knockdown. After comparing two different modes of triggering TA, CRISPR-Cas9 knockout versus CRISPR-Cas13d knockdown, I reported little overlap between the dysregulated genes and suggested that diverse mRNA degradation modes led to distinct TA responses. In addition, the transcriptional increase of Actg2 caused by CRISPR-Cas13d-mediated Actg1 mRNA cleavage did not require chromatin accessibility changes.
Experiments and genetic tools described in this dissertation investigated how TA develops from its earliest onset, how it affects the global transcriptome of the cell, as well as provided compelling evidence for an mRNA degradation-central TA mechanism. I have created tools to study both direct and indirect TA gene targets and unveiled important insights into the temporal dynamics of TA. Genes with higher sequence similarity were found to be upregulated more rapidly than those with lower similarity. Furthermore, it was revealed that the epigenetic properties of TA responses vary depending on the triggering mechanism. Cas13d-mediated degradation of wild-type mRNAs led to immediate transcriptional enhancement independent of epigenetic changes, which stood in contrast to previously measured alterations in chromatin accessibility in CRISPR-Cas9 mutants. This research has thus significantly advanced our knowledge of TA and provided valuable tools and findings that contribute to the broader understanding of gene expression regulation in response to mRNA degradation.
This thesis provides a detailed derivation of dissipative spin hydrodynamics from quantum field theory for systems composed of spin-0, spin-1/2, or spin-1 particles.
The Wigner function formalism is introduced for quantum fields in the respective representations of the Poincaré group, and the conserved currents, i.e., the energy-momentum tensor and the total angular momentum tensor, in various so-called pseudogauges are derived. An expansion around the semiclassical limit in powers of the Planck constant is performed.
Subsequently, kinetic equations are obtained for binary elastic scattering, using both the de Groot-van Leeuwen-van Weert and Kadanoff-Baym method, with the latter retaining the effect of quantum statistics. The resulting collision term features both local and nonlocal contributions, with the latter providing a relaxation mechanism for the spin degrees of freedom of the quasiparticles. The local-equilibrium distribution function is derived from the requirement that the local part of the collision term vanishes.
From quantum kinetic theory, dissipative spin hydrodynamics is then constructed via the method of moments, extended to particles with spin. The system of moment equations is closed via the Inverse-Reynolds Dominance (IReD) approach, resulting in a set of equations of motion describing the evolution of both ideal and dissipative degrees of freedom. The application to polarization phenomena relevant to heavy-ion collisions is discussed.
Upper mantle shear zones are complex systems where deformation is commonly closely interacting with metamorphic (solid-solid) and/or melt/fluid-rock reactions. Here, feedback processes between deformation, reactions, grain size reduction and phase mixing result in strain weakening and the localization of deformation. The expression of these interlinked processes is portrayed by the microfabrics of strained peridotites and pyroxenites. The present thesis is focusing on these processes and their impact on the deformation in three upper mantle shear zones situated in the peridotite massifs of Lanzo (Italian Alps), Erro-Tobbio (Italian Alps) and Ronda (Betic Cordillera, Spain). In all three shear zones, the presence of melt led to phase mixing either by interstitial crystallization of pyroxenes from a Si-saturated and partially also highly evolved melt or by melt-rock reactions of pyroxene porphyroclasts with a Si-undersaturated melt. The effect of melt on the localization of strain is twofold and variable. Enhanced deformation by melt-wetted boundaries is assumed for all shear zones. Additionally, phase mixing by crystallization of interstitial pyroxenes or melt-rock reactions reduce or maintain the grain size by the formation of fine grained neoblasts and secondary phase boundary pinning. In this regard, pre- to early syn-kinematic, map-scale percolation of OH-bearing, evolved melts in the NW Ronda peridotite massif and the associated crystallization of interstitial pyroxenes result in the activation of grain size sensitive deformation mechanisms in the entire melt-effected area. In the rocks collected at Erro-Tobbio, syn-kinematic melt-rock reactions of pyroxene porphyroclasts and Si-undersaturated melt led to the formation of ultramylonitic neoblast tails (grain size ~10 μm). Compared to the adjacent coarser-grained olivine-dominated matrix, the activation of diffusion creep led to an increase in the strain rate by an order of magnitude within interconnected ultramylonitic layers. Strain localization and softening in ultramylonitic layers are also documented in the Lanzo samples. Neoblast tails of pyroxene porphyroclasts were likewise identified as their precursor. The phase assemblage of the tails, including ortho- and clinopyroxene, olivine, plagioclase, and spinel (± amphibole), and their geochemical trends suggest, unlike in Erro-Tobbio, a formation by continuous net-transfer reactions enhanced by the spinel lherzolite to plagioclase lherzolite transition.
The new results obtained from the three studied shear zones underscore the importance of reactions for the interlinked processes of grain size reduction, phase mixing, strain localization and strain softening in upper mantle shear zones. Concerning strain localization, the nature of the reaction (solid-solid, melt/fluid-rock) seems to play a subordinate role compared to its timing. Pre- to early syn-kinematic melt-triggered reactions result in strain localization along map-scale shear zones. Late stage syn-kinematic melt-rock or metamorphic reactions under high stress conditions are capable of localizing the deformation along discrete, sub-centimeter thick ultramylonites.
This thesis aims to investigate the properties of hadronic matter by analyzing fluctuations of conserved charges. A transport model (SMASH) is used for these studies to achieve this. The first part of this thesis focuses on examining transport coefficients, specifically the diffusion coefficients of conserved charges and the shear viscosity. The second part investigates equal-time correlations of particle numbers in the form of cumulants. The last chapter studies different aspects of the isobar collision systems Ru and Zr.
As a first step, the hadronic medium and interactions between its constituents are introduced, and simultaneously, their impact on transport coefficients is investigated. The methodology is verified by comparing the results of SMASH with Chapman-Enskog calculations, followed by examining 3-to-1 multi-particle reactions, revealing their influence on shear viscosity and electrical diffusion. The analysis of the full hadron gas considers angle-dependent cross-sections and additional elastic cross-sections via the AQM description, showing significant impacts on transport coefficients. The dependency on the number of degrees of freedom is explored, with noticeable effects on diffusion coefficients but a smaller influence on the shear viscosity. At non-zero baryon chemical potential, the diffusion coefficients are strongly influenced, while the shear viscosity remains unaffected. Overall, the study underscores the importance of individual cross-sections and the modeling of interactions on transport coefficients.
The following chapter explores fluctuations of conserved charges, crucial for understanding phase transitions in heavy-ion collision from the quark-gluon plasma to the hadronic phase. Using SMASH, the impact of global charge conservation on particle number cumulants in subvolumes of boxes simulating infinite matter is studied. Comparisons with simpler systems highlights the influence of hadronic interactions on cumulants, especially via charge annihilation processes and the results from SMASH shows agreement with analytical calculations. Calculations at finite baryon chemical potential reveals a transition from a Poisson to Skellam distribution within the net proton cumulants. It is shown that an unfolding procedure to obtain the net baryon fluctuations from the net proton ones deviates from the actual net baryon result, particularly in larger volumes. Finally, net proton correlations at vanishing baryon chemical potential align with ALICE measurements and the net proton cumulants are unaffected by deuteron formation.
In the next step, the goal is to investigate critical fluctuations in the hadronic medium. Therefore, the hadronic system is initialized with critical equilibrium fluctuations by coupling the hadron resonance gas with the 3D Ising model. The single-particle probability distributions are derived from the principle of maximum entropy. Evolving these distributions in SMASH, their development in an expanding sphere adjusted to experimental conditions can be analyzed. It reveals resonance decay and formations as the primary source that affects the particle cumulants. Because of isospin randomization processes, critical fluctuations are better preserved in net nucleon numbers. However, for the strongest coupling investigated in this work, correlations of the critical field are still present in the final state of the evolution in the net proton fluctuations. Examining cumulant dependence on rapidity windows shows a non-monotonic trend.
In the third part, collisions involving the isobars Ru and Zr are studied at a center-of-mass energy of 200 GeV. Initially, SMASH is used to study the initial conditions to hydrodynamical simulations, emphasizing the importance of the nuclear structure of isobars on the geometry of the collision area. It is found that the deformation parameters notably influence the initial state. Correlations between nucleon-nucleon pairs on eccentricity fluctuations yield no significant effect. Subsequently, the hydrodynamic model vHLLE evolves the previously explored initial conditions and for the transition between the hydrodynamic and kinetic descriptions, the Cooper-Frye formula is used. Usage of the canonical ensemble ensures the exact conservation of the conserved charges B, Q, and S. The neutron skin effect, which changes the charge distribution within Ru nuclei, is additionally considered. Fluctuations are assessed, revealing suppression in large rapidity windows due to global charge conservation. The hadronic phase modifies fluctuations of net pions, net kaons, and net protons via annihilation processes, yet fluctuations remain unaffected by the neutron skin effect.
The core of this work is represented by the investigation of the chiral phase transition, using Monte Carlo simulations and unimproved staggered fermions, both in the weak and strong coupling regimes of Quantum Chromodynamics. Based on recent results from Monte Carlo simulations, both using unimproved staggered fermions and Wilson fermions, the chiral phase transition in the continuum and chiral limit shows compatibility with a second-order phase transition for Nf (number of flavours) in range [2:7], at zero baryon chemical potential. This achievement relies on the analytic continuation of Nf to non-integer values on the lattice, which allows to make use of extrapolation techniques to the chiral limit, where simulations are not possible. Furthermore, these results provide a resolution to the ambiguous scenario for Nf = 2 in the chiral limt. The first part of this thesis is devoted to the investigation of the chiral phase transition when a non-zero imaginary baryon chemical potential is involved, whose value corresponds to the 81% of the Roberge-Weiss one. Using the same extrapolation techniques aforementioned, the order of the chiral phase transition in the continuum and chiral limit shows compatibility with a second-order phase transition for Nf in range [2:6], highlighting a lack of dependence of the order of the chiral phase transition on the imaginary baryon chemical potential value. The second part of this thesis is about the study of the extension of the first-order chiral region in the strong coupling regime, at zero baryon chemical potential. Using Monte Carlo techniques, this can be done by investigating the Z2 boundary on a coarse lattice, whose temporal extent reads Nt = 2, and simulations are realised for Nf = 4, 8. The results in the weak coupling regime show, for $Nt = 8, 6, 4 and fixed Nf value, an inflating first-order chiral region. As in the strong coupling limit a second-order chiral phase transition is expected, the first-order chiral region has to shrink as the strong coupling regime is approached, resulting in a non-monotonic behaviour of the Z2 boundary. For Nf = 8, a critical mass on the Z2 boundary has been obtained, confirming the expected non-monotonic behaviour. For Nf = 4 the results do not provide a unique conclusion: Either a Z2 boundary at extremely low bare quark mass or a second-order chiral phase transition in the O(2) universality class in the chiral limit can take place. In addition to the two main topics, the performances of the second-order minimum norm integrator (2MN) and the fourth-order minimum norm integrator (4MN) have been compared, after implementing the 4MN one in the CL2QCD code used to realise our simulations. The 2MN integrator had already been implemented in the code since the first version was released. The two integrators belong to the class of symplectic integrators and represent an essential component of the RHMC algorithm, involved in our investigation. This step is extremely important, in order to guarantee the best quality when collecting data from simulations, and the results of the comparison suggested to favor the 2MN integrator, for both the topics.
Type 1 diabetes (T1D) is precipitated by the autoimmune destruction of the insulin-producing beta-cells in the pancreatic islets of Langerhans. Chemokines have been identified as major conductors of the islet infiltration by autoaggressive leukocytes, including antigen-presenting cells and islet autoantigen-specific T cells. We have previously generated a roadmap of the gene expression in the islet microenvironment during T1D in a mouse model and found that most of the chemokine axes are chronically upregulated during T1D. We focused our attention on CXCL10/CXCR3, CCL5/CCR5, CXCL16/CCR6, CX3CL1/CX3CR1, and XCL1/XCR1. First, we found that the absence of CCR6 and of CX3CR1 diminished T1D incidence in a mouse model for T1D. Further, the XCL1/XCR1 chemokine axis is of particular interest, since XCR1 is exclusively expressed on convention dendritic cells type 1 (cDC1) that excel by their high capacity for T cell activation. Here we demonstrate that cDC1 expressing XCR1 are present in and around the islets of patients with T1D and of islet-autoantibody positive individuals. Further, in an inducible mouse model for T1D, we show that XCL1 plays an important role in the attraction of highly potent dendritic cells expressing XCR1 to the islets. XCL1-deficient mice display a diminished infiltration of XCR1+ cDC1 and subsequently also a reduced magnitude and activity of islet autoantigen-specific T cells. XCR1-deficient mice display a reduced magnitude and activity of islet autoantigen-specific T cells. A 3D-visualization of the entire pancreas reveals that both XCL1-deficient mice and XCR1-deficient mice indeed maintain most of their functional islets after induction of the disease. Thus, the absence of XCL1 results in a profound decrease in T1D incidence. The XCR1-deficiency also reduces T1D incidence, even if in a less drastic way compared to XCL1-deficiency. An interference with the XCL1/XCR1 chemokine axis might constitute a novel target for the therapy for T1D.
Precise tune determination and split beam emittance reconstruction at the CERN PS synchrotron
(2023)
In accelerator physics, the need to improve the performance and better control the operating point of an accelerator has become, year after year, an increasingly important need in order to achieve higher energies and brightness, as well as point-like particle beams. If this involves increasingly advanced technological developments (in terms, for example, of materials for more intense superconducting magnets), it can not take place in the absence of targeted studies of linear and non-linear beam dynamics. In the context of this Ph.D. thesis in physics, linear and non-linear dynamics of charged particles in circular accelerators is the topic that will be discussed and treated in detail. In particular, the presentation and discussion of the results will be divided in two main topics: the need to know the physical properties of a proton beam; and the development of innovative methods to determine and study the accelerator’s working point. With regard to the first topic, an innovative procedure will be presented to determine the transverse size of the PS beam in the beam extraction phase. Among the different ways the extraction occurs at the PS, the analysed one is based on the transverse splitting of the beam by means of non-linear fields. Thus, the knowledge of the transverse beam size is not trivial since resonant linear and non-linear beam structures (namely, core and islands) arise and, for each of them, the beam size has to be quantified. This parameter is crucial for two main reasons: the accelerator that will receive the beam exiting the upstream accelerator may have restrictions (physical or magnetic) that involve a partial or total loss of the incoming beam; and any experiments located downstream of the considered accelerator may need a beam with a transversal size as constant as possible; consequently, its monitoring and control are essential. The second topic concerns the accurate determination of the working point of an accelerator, defined as the number of transverse oscillations the particle beam travels per unit of accelerator circumference, both horizontally and vertically. This quantity is called horizontal and vertical tune, respectively. Their knowledge is also crucial to understand whether the beam will be stable or unstable. In fact, not all tune values are acceptable, as there are particular values that bring the beam into resonance. In this configuration, the amplitude of the transverse oscillations of the particles increases in an uncontrolled manner and leads to the loss of all or part of the beam. Note that, in particular operating conditions, the resonant conditions are sought and desired to model, in a suitable way, the transversal shape of the beam, such as the above mentioned PS extraction scheme. It is even clearer how much the determination of the machine working point is essential to determine the operating conditions of an accelerator. In this context, several methods (also taken from the field of applied mathematics) to calculate the tune will be demonstrated and tested numerically on different types of synthetic signals. At the end of this description, the use of experimental data will allow to obtain the benchmark of a new method for the direct calculation of some characteristic quantities of non-linear beam dynamics (namely, the amplitude detuning, i.e. the variation of tune as a function of intensity of the perturbation provided to the beam.
Bei den meisten erwachsenen Säugetieren führt ein Herzinfarkt zu Fibrose und Verlust von funktionellem Herzgewebe. Einige Wirbeltiere, wie der Zebrabärbling, besitzen jedoch die bemerkenswerte Fähigkeit, nach einer Schädigung ihres Herzgewebes verlorenes Gewebe zu regenerieren und so schädliche Folgen zu verhindern. Die lokale Immunantwort auf eine Verletzung wird zunehmend als eine wichtige Determinante für das regenerative Potential eines Gewebes gesehen. Das Komplementsystem ist Teil des humoralen Immunsystems. Historisch ist es als eine Sammlung von Protein bekannt, den Komplementkomponenten, die in der Leber synthetisiert werden und im Blutkreislauf zirkulieren. Bei Exposition gegenüber einem Auslöser, wie z. B. einem Pathogen, wird eine Komplementkomponentproteinspaltungskaskade initiiert, die dazu führen kann, dass Immunzellen rekrutiert werden, und, dass die Phagozytose erleichtert, ggf. die Zielzelle lysiert wird. Studien legen nahe, dass das Komplementsystem an zellulären Prozessen beteiligt sei, die für Entwicklungs- und Krankheitsprozesse entscheidend sind, wie etwa Proliferation und Dedifferenzierung. Es gibt Hinweise, dass das Komplementsystem eine Rolle bei Krebserkrankungen und bei regenerativen Prozessen spielen könnte. In verschiedenen Arten wurde eine lokale verletzungsinduzierte Expression von komplementkomponentkodierenden Genen in regenerierendem Gewebe beobachtet.
Einzelne Studien legen nahe, dass Funktionsverlust einzelner Komplementkomponenten regenerative Prozesse beeinträchtigt.
Offene Fragen bleiben jedoch: Ist die lokale Expression von mehreren komplementkomponentkodierenden Genen ein Merkmal von regenerierendem Gewebe, das sie von Geweben unterscheidet, welchem die Fähigkeit zur Regeneration fehlt? Und welche Rolle könnte das Komplementsystem und seine Komponenten während des regenerativen Prozesses spielen? Um diesen Fragen nachzugehen, wurde eine Expressionsanalyse von Zebrabärblingsgewebe nach Verletzung mittels RT-qPCR und in situ Hybridisierung durchgeführt: kardiale Kryoverletzung, Larvenrumpfamputation und Schwanzflossenamputation. Ich beobachtete, dass mehrere komplementkomponentkodierende Gene in diesen Geweben nach Verletzung induziert wurden. Die Interpretation veröffentlichter single cell RNAseq Datensätze legt nahe, dass diese komplementkomponentenkodierenden Gene von verschiedenen Zelltypen exprimiert werden, darunter Immunzellen, Epikardzellen und Fibroblasten. Um transkriptionelle Unterschiede zwischen regenerierendem und nicht regenerierendem Gewebe zu identifizieren, verwendete ich ein nicht regeneratives Zebrabärblingmodell, die il11ra- Mutante. Dieser Mutante fehlt die Fähigkeit, verschiedene Organe zu regenerieren, das ist der Fall beim Herzen, dem larvalen Rumpf, und der Schwanzflosse. Ich stellte fest, dass die Mehrheit der verletzungsinduzierten komplementkomponentkodierenden Gene il11ra nachgeschaltet war. Darüber hinaus zeigten Experimente unter Verwendung chemischer Inhibitoren, dass speziell die Expression der komplementkomponentkodierenden Gene c3a.1,
c4b und c7a im Larvenrumpfamputationsmodell durch den Il11-Stat3-Signalweg moduliert wird.
Zur Klärung der Frage, ob das Komplementsystem und/ oder seine Komponenten eine Rolle während der Regeneration spielen, wurden verschiede Funktionsverlustmodelle generiert und im larvalen Rumpfamputationsmodell auf mögliche Aberrationen getestet. Zum einen generierte ich Überexpressionslinien von endogenen Inhibitoren der Komplementproteinspaltungskaskade. Überexpression eines etablierten Komplementsysteminhibitors rca2.1/ tecrem führte zu einer im Vergleich zu Wildtyp- Geschwistern verringerten Regeneration des larvalen Rumpfs. Zum anderen generierte ich Funktionsverlustmutanten von individuellen Komplementkomponenten durch CRISPR/Cas9 vermittelter Mutagenese, und zwar für masp1, masp2, cfd, c1s, c4b, c5 und c9. Die larvale Rumpfregeneration war in diesen Mutanten unauffällig. Allerdings zeigten c4b Mutanten eine verringerte Kardiomyozytenproliferation und eine differenzielle Expression von einigen Markergenen, einschließlich einer erhöhten Expression von inflammatorischen Zytokinen.
Meine Studien führten zu neuen Einblicken in das Komplementsystem im Kontext der Regeneration. Ich fand heraus, dass mehrere komplementkomponentenkodierenden Gene in regenerierendem Zebrabärblinggewebe exprimiert werden, und zwar im Herzgewebe, im larvalen Rumpf und in der adulten Flosse. Darüber hinaus zeige ich, dass die verletzungsinduzierte Expression von komplementkodierenden Genen in regenerierendem Gewebe dem Regenerationsmasterregulator il11ra nachgeschaltet ist. Speziell c3a.1, c4b und c7a wurden durch il11/ stat3 reguliert...
Compaction and spheroid formation modulates stemness and differentiation of human pancreas organoids
(2023)
The incidence of diabetes type 1 (T1D) in children and young adults is increasing worldwide. T1D is well treated by insulin administration. However, there is currently no long-lasting cure for this ailment. The success rate of pancreatic islet transplantation to treat T1D is limited by the availability of patient-matched islets and the necessity of using life-long immunosuppressive medication. The difficulties caused by transplantation can be overcome by generating bio-engineered pancreatic islets from patient-derived progenitor cells. Aim of this thesis is to establish new strategies for the generation and analysis of pancreatic lineages derived from human progenitor cells. It reports on the optimization of a technique to form human pancreatic spheroids from hollow monolayered human pancreas organoids (hPOs) to investigate how cell-cell and cell-matrix interaction can be leveraged to induce endocrine differentiation of the pancreas progenitor cell organoids. We introduce cell aggregation protocols to generate endocrine pancreas cell lineages from ductal pancreatic cells. Next, we study the effect of co-culture with stromal and endothelial cells to promote cell differentiation toward a pancreatic fate enhancing β cells productivity.
This thesis has focused on identifying the differences in gene expression along with phenotypical transformation during differentiation of human pancreatic organoids (hPOs) towards human β cells to be used in the future of cellular therapeutics in treating T1D patients.
Structure-function relationships in substrate binding protein dependent secondary transporters
(2023)
This work provides new insights into the relevance of SBP dependent secondary transport systems, especially in the thus far under-researched subgroup of TAXI transporters. Importantly, we identified and characterized the TAXI transport system TAXIPm-PQM from Proteus mirabilis. We demonstrated that, in contrast to previously characterized SBP dependent secondary transport systems, TAXIPm-PQM is a proton coupled system and transports the C5-dicarboxylate α- ketoglutarate. Since initially the transport of α-ketoglutarate could only be demonstrated in vivo but not in vitro using established protocols (Mulligan et al. 2009), we investigated in detail the differences between the in vivo and in vitro assay. This resulted in a bioinformatic analysis of TRAP and TAXI signal peptides, which strongly implied that TAXIPm-P requires a transmembrane anchor to allow for transport. We then provided TAXIPm-P surface tethered to the membrane in in vitro transport assays and confirmed the prediction of our bioinformatic analysis that TAXIPm-PQM deploys a membrane-anchored instead of a soluble SBP. Furthermore, the TAXI transport system TAXIMh-PQM from Marinobacter hydrocarbonoclasticus transports fumarate only if both membrane domains Q and M are present. For further characterization, Michaelis-Menten kinetics and affinities were determined for both TAXI transport systems TAXIPm-PQM from Proteus mirabilis and TAXIMh-PQM from Marinobacter hydrocarbonoclasticus. In addition, nanobodies were selected for the membrane domain TAXIPm-QM from Proteus mirabilis to stabilize different conformations which can serve in subsequent structural elucidation studies. Furthermore, the TRAP SBP TRAPHi-SiaP from Haemophilus influenzae was shown to interact not only with its corresponding membrane domain TRAPHi-SiaQM but with at least one additional transporter. It was thereby excluded that TRAPHi- SiaP transfers N-acetylneuraminic acid to the only native E. coli TRAP transporter TRAPEc-YiaMNO and suggested to rather interact with a SBP dependent ABC transport system as this protein family represents the largest SBP dependent protein group in E. coli (Moussatova et al. 2008).
Baleen whales (Mysticeti) are a clade of highly adapted carnivorous marine mammals that can reach extremely large body sizes and feature characteristic keratinaceous baleen plates used for obligate filter feeding. From a conservation perspective, nearly all baleen whale species were hunted extensively over a roughly 100 years lasting time period that depleted many of the respective whale stocks with so far unknown consequences for e.g. their molecular viability. From an evolutionary perspective, the lack of fossil records together with conflicting molecular patterns resulted in a still unclear and debated phylogeny of modern baleen whales, particularly in rorquals (Balaenopteridae). In this dissertation, I will demonstrate the application of baleen whale genomes to tackle these open questions by using modern approaches of conservation and evolutionary genomics.
Conservation genomic aspects of baleen whales were addressed in two projects, both using whole genome data of either an Icelandic fin whale (Balaenoptera physalus) population or multiple blue whale (Balaenoptera musculus) populations to evaluate the impact of the industrial whaling era on their molecular viability. The results suggest a substantial drop in effective population size of both species but also a lack of manifestation in genotypes of the fin whale population when compared to the blue whale populations. Especially the rare and short runs of homozygosity (ROH), usually indicative for inbreeding, suggest frequent outcrossing in fin whales while all analyzed blue whale populations featured long and frequent ROH. In addition to these analyses, genome data of blue whale populations was further used to evaluate if northern hemisphere blue whales diverged into different subspecies. Population genetic and gene flow analyses showed clearly separated and well isolated populations in accordance with their assumed geographical distance. In contrast, the genome-wide divergence between all blue whale populations was low compared to other cetacean populations and to the next closely related sei whale species. Because this includes the morphologically different and well recognized pygmy blue whale subspecies, a proposal was made to equally categorize the two northern-hemisphere blue whale populations as subspecies.
Evolutionary aspects were addressed in a third project, by constructing the genome of the pygmy right whale (Caperea marginata) and testing its potential in phylogenetics and cancer research. Phylogenomic analyses using fragments of a whole-genome alignment featuring nearly all extant baleen whales, allowed the revision of the complex evolutionary relationships of rorquals by quantifying and characterizing the amounts of conflicts in early diverging branches. These relationships were further used to identify phylogenetically independent pairs of baleen whales with a maximum of diverging body size differences to compare rates of positive selection between their genomes. The results suggest nearly evenly distributed frequencies of alternative topologies which supports the representation of the early divergence of rorquals as a hard polytomy with high amounts of introgression and incomplete lineage sorting. Within the set of available genomic data, three independent pairs of baleen whales with diverging body sizes were found and comparisons of positive selection rates resulted in many potentially body size and cancer related genes. The lack of conserved selection patterns, however, suggest a more convergent evolution of size and cancer resistance like previously discussed in paleontology.
In conclusion, the application of whole genome data using methods of conservation genetics allowed for a comprehensive estimation about the molecular viability of blue and fin whales as well as an assessment of the taxonomic status of northern-hemisphere blue whale populations. The rather different results between blue and fin whales underlines the importance of genomic monitoring of baleen whales because different species show rather different molecular consequences of their potentially varying depletions. Furthermore, as showcased for the northern-hemisphere blue whale, many important isolated populations of baleen whales may still be unknown to conservation management and genome-wide comparisons will most likely contribute to overcome this under-classification problem. The application of whole genome data in evolutionary research allowed the characterization of the complex patterns of molecular conflicts within baleen whales and especially rorquals that will contribute to the still rather unclear understanding of their evolution. The here found molecular support for the idea of convergent evolution of gigantism in whales will further guide the search for molecular patterns responsible for Peto’s paradox.
Electrospinning is a versatile and promising drug delivery technology for the development of tailor-made drug delivery systems for various clinical applications. By applying high voltages to drug-loaded polymer solutions, solid polymeric nanofibers can be generated, which encapsulate active pharmaceutical ingredients (APIs) into their polymer matrix. During the electrospinning process, the fibers are deposited on a collector and form a nonwoven network of drug-loaded polymer fibers. These fibers are spatially distributed in aligned or random orientation, providing the opportunity to design highly tunable structural and mechanical properties, which can be adapted to the biological requirements of the intended application site. The mechanically flexible fiber networks can therapeutically be administered to a multitude of pharmaceutical application sites. Their highly porous fiber structure exhibits a large surface-to-volume ratio, which is ideal for controlled drug release kinetics from the polymer matrix upon contact with biological fluids, such as tear fluid, saliva, mucus, wound exudate or gastro-intestinal fluid. For application at the target site, fiber mats are cut into patches. As the patch size determines the quantity of applied API, the electrospinning process must ensure homogeneous distribution of the API throughout the entire fiber mat area.
In this thesis, electrospinning was established as a formulation technology for the rational fabrication of tailor-made multifunctional drug carrier systems for local and site-specific drug delivery to the epithelial interfaces skin, oral mucosa as well as cornea. For adequate characterization and analysis of the drug delivery systems, a broad panel of robust and predictive analytical tools, based of novel investigation techniques for physicochemical characterization of electrospun fibers, was developed.
The initial part of the thesis thematically focuses on the development of predictive analytical techniques, to determine fiber morphology and physicochemical properties, as well as fiber composition and drug release. By designing two model formulations with contrasting properties, and subsequent analysis and characterization with a set of newly developed techniques and state-of-the-art methods, a comprehensive toolset has been made available and evaluated, aiming at advancing and standardizing respective techniques in the scientific field of electrospun drug delivery systems.
Starting with the initiation of the electrospinning formulation process, which often relies on empirical data rather than analytical methods to predict successful processability, analysis of rheological properties of electrospinning solutions was used to rationally detect the minimum polymer concentration required for electrospinning.
For analysis of fiber morphology, scanning electron microscopy is a common technique. However, little attention is given to underlying readout parameters. By analyzing the fiber orientation and diameter of the respective fibers, predictive results regarding mechanical properties could be obtained, which were subsequently confirmed by measuring elongation force with tensile testing. Confocal Raman microscopy, a label-free method for chemically- selective imaging of the fiber samples, was introduced as a complementary visualization technique, enabling the detection of fiber composition and drug distribution.
A novel technique for investigation of water contact angles on the fiber surface of highly hydrophilic polymers was introduced, which provides predictive data regarding interaction with body fluids and the resulting drug release kinetics. Subsequent release testing in a newly developed setup for analyzing drug release from electrospun fibers in low-volume body compartments, confirmed the anticipated drug release kinetics from measurement of the surface hydrophilicity.
By combining complementary analytical methods, including spectral composition analysis, morphology visualization, characterization of physico-chemical properties and drug release kinetics, as well as the application of multivariate data analysis, a robust and predictive toolset has been established, which can support comparability of future electrospinning studies and the translation from the lab bench into clinics.
Based on the analytical toolset, the main part of the thesis focuses on the development and preparation of electrospun platform drug delivery systems for application on epithelial barriers. Electrospun fiber mats are thin, flat, and mechanically flexible, which allows close adherence to epithelial surfaces and reduction of diffusion paths, which enables efficient drug delivery to the skin, oral mucosa, as well as the cornea.
Electrospun fibers bear a high potential for application as wound dressings, while simultaneously controlling the local delivery of APIs to the wound area. Their close resemblance to the extracellular matrix of human skin provides a suitable microenvironment for cellular proliferation and migration for wound closure. In this work, insulin, a fragile proteohormone with growth factor characteristics, was successfully encapsulated into the core of coaxially electrospun fibers, thus maintaining bioactivity throughout and after the electrospinning process. The shell has been designed from biocompatible polymers, which, upon contact with aqueous wound exudate, partially dissolve and form pores through which bioactive insulin is released in a controlled manner. The shell layer provides a hydrophilic surface for interaction with body fluids and skin cells, and possesses substantial mechanical strength, flexibility, and high tensile elongation required for application on wounds. The biocompatibility of the wound dressing was investigated by interaction with primary human dermal fibroblasts and keratinocytes, which displayed healthy cell morphologies without indicating any elevated levels of cytotoxicity markers.
To investigate the effect of insulin on cell migration, in vitro scratch assays on human skin cells were performed. Increased cellular migration speed and wound closure could be observed, indicating improved wound healing. Bio relevance of in vitro wound healing potential results was advanced by development of 3D ex vivo human epidermal skin wound models from reduction surgery donor material. These complex wound models were treated with electrospun insulin fibers and analyzed by proteome analysis to reveal significant increases in wound healing-associated signaling pathways, which could be attributed to a material-driven remarkably positive impact on wound healing of the electrospun fibers...
Die Zahl der gramnegativen Bakterien auf der WHO-Liste der Antibiotikaresistenzen hat in den letzten Jahrzehnten erheblich zugenommen. Schätzungen zufolge wird die Antibiotikaresistenz bis 2050 tödlicher sein als Krebs. Die äußere Membran gramnegativer Bakterien ist aufgrund ihres wichtigsten Strukturbestandteils, des Lipopolysaccharids (LPS), sehr anpassungsfähig an Umweltveränderungen. Das LPS macht gramnegative Bakterien von Natur aus resistent gegen viele Antibiotika und führt somit zu Antibiotikaresistenz. Der bakterielle ATP-bindende Kassettentransporter (ABC-Transporter) MsbA spielt eine entscheidende Rolle bei der Regulierung der bakteriellen Außenmembran, indem er das Kern-LPS durch ATP-Hydrolyse über die Innenmembran von gramnegativen Bakterien flockt. Darüber hinaus fungiert diese Floppase als Efflux-Pumpe, indem sie Medikamente durch die innere Membran transportiert, was sie zu einem interessanten Ziel für Medikamente macht. Vor kurzem wurden zwei verschiedene Klassen von MsbA-Inhibitoren entdeckt: (1) Tetrahydrobenzothiophene (TBT), die den LPS-Transport aufheben, und (2) Chinolinderivate, die sowohl die ATP-Hydrolyse als auch die LPS-Translokation blockieren. Darüber hinaus hat die Bestimmung der 3D-Struktur von MsbA durch Rontgen- und Kryo-EM mehrere interessante Zustände der Floppase ergeben. Die Kernspinresonanzspektroskopie ist eine hervorragende biophysikalische Methode zur Ergänzung der vorhandenen 3D-Strukturdaten. Insbesondere ermöglicht die Festkörper-NMR die Untersuchung von Membranproteinen in einer nativen Umgebung (z. B. in einer Lipiddoppelschicht). In der Vergangenheit hat unser Labor mithilfe der Festkörper-NMR einige detaillierte Mechanismen von MsbA aufgedeckt. Trotz der zahlreichen Fortschritte bei der Untersuchung der ABC-Transporterprotein-Superfamilie ist der spezifische Prozess der Substrattranslokation von MsbA noch immer unbekannt. Es wird angenommen, dass dieser Translokationsprozess über die Kopplungshelices (CHs) erfolgt, die sich zwischen der Transmembranregion (TMD) und der Nukleotidbindungsdomäne (NBD) befinden. Nukleotid-Bindungsdomäne (NBD). Zu diesem Zweck wird dem Zusammenspiel zwischen der TMD und der NBD über die CHs besondere Aufmerksamkeit gewidmet, mit dem Ziel, den Prozess der Substrattranslokation mithilfe von funktionellen Assays und Festkörper-NMR zu verstehen. Bei letzterem wurden spezifische Reporter in die CHs eingeführt, um Konformationsänderungen in 2D-spektroskopischen Daten zu verfolgen. Darüber hinaus wurde zeitaufgelöste NMR eingesetzt, um die Auswirkungen verschiedener Substrate in der TMD während der ATP-Hydrolyse in der NBD sichtbar zu machen. Die einzigartigen Reporter in den CHs haben Konformationsänderungen in bestimmten katalytischen Zuständen gezeigt. Darüber hinaus scheinen verschiedene Substrate die Kinetik der ATP-Hydrolyse zu beeinflussen. Die Ergebnisse zeigten, dass einige Substrate einen bevorzugten katalytischen Zustand innerhalb des ATP-Hydrolyse Zyklus aufweisen, der möglicherweise einen gekoppelten oder ungekoppelten Kinasemechanismus hat. Diese Ergebnisse könnten verschiedene Einblicke in die molekulare Struktur potenzieller neuer Antibiotika liefern.
Blockchains in public administration : a RADIUS on blockchain framework for public administration
(2023)
The emergence of blockchain technology has generated a great deal of attention, as reflected in numerous scientific and journalistic articles. However, the implementation of blockchain for public administrations in Germany has encountered a setback owing to unsuccessful initiatives. Initial enthusiasm was followed by disillusionment. Nevertheless, technology continues to evolve. This paper examines whether the use of a blockchain can still optimize the processes of public administrations. Not only the failed projects are analysed, but also more current applications of the technology and their potential relevance for the administration, especially in the state of Hesse.
To answer if blockchains are promising to administrations, a Design Science Research (DSR) research approach is chosen. The DSR method is a research-based approach that aims to create new and innovative solutions to real-world problems through the development and evaluation of artefacts such as models, methods, or prototypes. For this work, the implementation of a framework to realize an Authentication, Authorization, and Accounting (AAA) system on the blockchain was identified as profitable. The framework aims to implement the aforementioned AAA tasks using a blockchain. The Remote Authentication Dial-In User Service (RADIUS) protocol has been identified as a potential protocol of the AAA system. The goal is to create a way to implement the system either entirely on a blockchain or as a hybrid system. Various blockchain technologies will be considered. Suitable for development, the framework AAA-me is named.
The development of AAA-me has shown that the desired framework for implementing RADIUS on the blockchain is possible in various degrees of implementation. Previous work mostly relied on full development. Additionally, it has been shown that AAA-me can be used to perform hybrid integration at different implementation levels. This makes AAA-me stand out from the few hybrid previous approaches. Furthermore, AAA-me was investigated in different laboratory environments. This was to determine the expected resilience against Single Point of Failure (SPOF). The results of the lab investigation indicated that a RADIUS system on top of a blockchain can provide benefits in terms of security and performance. In the lab environment, times were measured within which a series of authorization requests were processed. In addition, it was illustrated how a RADIUS system implemented using blockchain can protect itself against Man-in-the-Middle (MITM) attacks.
Finally, in collaboration with the Hessian Central Office for Data Processing (German: Hessische Zentrale für Datenverarbeitung) (HZD), another test lab demonstrated how a RADIUS system on the blockchain can integrate with the existing IT systems of the German state of Hesse. Based on these findings, this work reevaluated the applicability of blockchain technology for public administration processes.
The work has thus shown that the use of a blockchain can still be purposeful. However, it has also been shown that an implementation can bring many problems with it. The small number of blockchain developers and engineers also poses the risk of finding people to develop and maintain a system. In addition, one faces the problem of determining an architecture now that will be applied to many projects in the future. However, each project can, in turn, have an impact on the choice of architecture. Once one has solved this problem and a blockchain infrastructure is available, it can be established quickly and be more SPOF resistant, for example, for Public Key Infrastructure (PKI) systems.
AAA-me was only applied in lab and test environments. As a result, no real data ran over its own infrastructure. This allowed the necessary flexibility for development. However, system-related properties could appear in real situations that are not detectable here in this way. Furthermore, the initial stage of AAA-me’s development is still in its infancy. Many manual adjustments need to be made in order for this to integrate with an existing RADIUS system. Also, no system security effort in and of itself has been carried out in the lab environments. Thus, vulnerabilities can quickly open up on web servers due to misconfigurations and missing updates. For the above reasons, productive use should be discouraged unless major developments are carried out.
Synaptic transmission is a fundamental process that involves the transfer of information from a presynaptic neuron to a target cell through the release of neurotransmitters. The SV cycle is a complex series of events that enables the recycling of SVs, allowing for the sustained release of neurotransmitters. This process is mediated by a variety of proteins and enzymes, and its regulation is critical for maintaining proper synaptic function. Despite extensive research efforts, many aspects of the SV cycle and the underlying synaptic proteins remain poorly understood, highlighting the need for continued investigation into this important process. During this work, multiple aspects of synaptic transmission were studied by performing
behavioural, pharmacological, optogenetic, electrophysiological and ultrastructural assays on Caenorhabditis elegans. First, the role of two proteins (ERP-1 and RIMB-1) were analysed in the synaptic vesicle cycle. Second, a new optogenetic tool, the pOpsicle assay was described, which enables the direct visualization of synaptic vesicle (SV) release.
Activity-dependent bulk endocytosis (ADBE) enables the endocytosis of SV membrane and proteins in a fast manner during intense stimulation, resulting in bulk endosomes (also so-called large vesicles, LVs). Recycling proteins can be characterized by its site of action, whether they act at the plasma membrane (participating at the LV formation), or at the LV membrane (participating at the SV formation). ERP-1 (the C. elegans ortholog of Endophilin B) was recently identified as a possible SV recycling factor, its contribution to synaptic transmission has not been analysed before. During this project the function and possible cooperation of three proteins, ERP-1, UNC-57 (the C. elegans ortholog of Endophilin A) and CHC-1 (the C. elegans ortholog clathrin heavy chain) were studied, with a special emphasis of the site of action. It has been confirmed that these proteins participate together in synaptic vesicle recycling. Endophilins (ERP-1 and UNC-57) act both at the PM and the LV level, but while UNC-57 has been identified as the main player, ERP-1 rather has a minor role and acts as a back-up protein. CHC-1 functions the LV level in the first place, but it can compensate for the loss of UNC-57 and acts as a back-up protein at the PM.
RIM-binding protein is an evolutionarily conserved active zone protein, which interacts directly with RIM and N, P/Q, as well as L-type Ca2+ channels. RIM-BP and RIM have redundant functions in different model organisms including C. elegans, however, while the loss of UNC-10 (the C. elegans ortholog of RIM) led to drastic behavioural defects, the loss of RIMB-1 (the C. elegans ortholog of RIM-BP) led only to mild phenotypes. During this work the synaptic function of RIMB-1 and its interaction with UNC-10 and UNC-2 (C. elegans ortholog of the CaV2 1 subunit) were extensively investigated. It has been shown that RIMB-1 contributes to the precise localization of VGCCs in cooperation with UNC-10. Furthermore, it has been demonstrated, that RIMB-1 plays different roles in cholinergic and GABAergic neurons, thus it contributes to maintain a proper excitation/inhibition balance.
There are numerous available assays, which enable the indirect analysis of synaptic transmission, however, a tool, that enables the direct visualization of SV release, is highly desired. pOpsicle is a method which combines the optogenetic stimulation of cholinergic neurons with real-time visualization of SV release. A pH-sensitive fluorescence protein, pHuji, was inserted into the second intravesicular loop of the synaptic vesicle membrane protein, synaptogyrin (SNG-1). The fluorescence of pHuji is quenched inside the vesicles, but once they are released, the pH increases and pHuji can be detected. pOpsicle enables not only the direct visualization of SV exo-, and endocytosis events, but also the identification of putative SV recycling proteins.
Semi-arid African ecosystems influence trends and variability in global terrestrial carbon dynamics. However, there are uncertainties in potential effects of future climates for semi-arid ecosystems, especially for niche ecosystems. At the same time, African ecosystems provide the livelihoods and ecosystem services for around 1.4 billion people. Future population growth and associated changes in land use pose a challenge for the protection of African biodiversity. Therefore, this work focussed on future impacts of climate change on African ecosystems and carbon dynamics and also for African protected areas (PAs), where they may cooccur with other global change factors. Another focus was on uncertainties associated with future projections and with modelling the Nama Karoo, as an example of a semi-arid niche ecosystem. Dynamic vegetation models (DVMs) were the main research tool.
In Chapter 2, we analysed climate change impacts on African ecosystems and carbon pools until the end of the 21st century and associated uncertainties based on an ensemble of vegetation simulations with the DVM adaptive dynamic vegetation model (aDGVM). We investigated the impact of increased atmospheric CO2 concentrations and two climate change scenarios (medium (RCP4.5) and high emissions (RCP8.5); RCP - representative concentration pathway) on vegetation changes. Differences in the simulated vegetation were primarily driven by assumptions about the influence of CO2 on plants. Elevated CO2 concentrations led to increased total aboveground vegetation biomass and shrub encroachment into grasslands and savannas for both climate scenarios. In simulations without the direct influence of CO2 on plants, there was hardly any shrub encroachment and vegetation biomass decreased or varied between a slight decrease in some cases and a slight increase in others. Based on these results, biome changes due to climate change are likely in Africa in the future. Due to the large uncertainties in future projections, strategies to adapt to climate change must be flexible.
The simulated vegetation in Chapter 2 represented potential, natural vegetation and is particularly suitable to investigate PAs. However, PAs do not exist isolated from their environment and social developments. In Chapter 3, the vegetation projections with CO2 effect from Chapter 2 were combined with projections for population density and land use. Except for many PAs in North Africa, most PAs were adversely affected by at least one of the three drivers by the end of the 21st century in both investigated scenarios ("middle-of-the-road" and "fossil-fuelled development"). Cooccurrence of the drivers varied by region and scenario for PAs. Both scenarios implied increasing challenges for the conservation of African biodiversity in PAs. The impact of climate change on vegetation is likely to be exacerbated by socio-economic change for most African PAs. Strong mitigation of future climate change together with equitable societal development may facilitate successful ecosystem conservation.
The simulations in Chapters 2 and 3 showed large-scale patterns of vegetation change, but their low resolution makes them unsuitable for local analyses. In Chapter 4, the challenges of simulating smaller scale, semi-arid ecosystems and their carbon cycle were analysed for the Nama Karoo with the aDGVM2 and its shrub module. The aDGVM2 is based on the aDGVM, but represents plants more flexibly. In all tested aDGVM2 configurations, the carbon fluxes improved compared to initial simulations but still overestimated them. The measured morphology of the dwarf shrubs and soil water dynamics were not reproduced in aDGVM2. Semi-arid soil water dynamics and coping strategies of semi-arid dwarf shrubs under drought stress are not adequately implemented in the aDGVM2. Further field research on semi-arid water and carbon dynamics of vegetation is necessary to parameterise the aDGVM2 for dwarf shrubs. If these challenges are overcome, DVMs can be a powerful tool for much-needed research on the impacts of climate change on the Nama Karoo.
The analyses have shown that climate change under medium to high emission scenarios is likely to lead to large-scale changes in ecosystems and the carbon balance in Africa. Because lower emissions scenarios come with less uncertainty, climate change adaptation strategies likely need to be less complex or extensive if climate change is minimised. For African PAs, the challenges of climate change may be exacerbated by socio-economic factors to a regionally varying extent. This research suggests that successful ecosystem conservation depends on climate change mitigation measures and ensuring equitable, sustainable development. The shown uncertainties, e.g., in the implementation of the CO2 effect on plants or vegetation dynamics in more niche ecosystems, help to focus future research efforts and increase our understanding of the range of plausible futures we may need to adapt to.
The impact of the Covid-19 pandemic called for rapid responses in face of unprecedented challenges. In this context, earning more about the causative agent SARS-CoV-2 becomes imperative. Therefore, clinical virus isolates were studied with focus on infectivity, replication kinetic, and caspase activity.
Firstly, clinical specimens collected from patients were tested for infectivity in cell culture. Combined with polymerase chain reaction results, a formula predicting infectivity in cell culture based on abundance of viral RNA was developed. Additionally, analysis of different specimen types, sources, and material, elucidate the question of infectivity. Here, infectivity was demonstrated in specimens derived from different parts of the respiratory tract, including specimens collected from deceased persons. A protocol for virus isolation on human airway epithelium in air-liquid interface culture was established.
Secondly, replication kinetics of 20 clinical isolates were compared, including a subset of seven sequenced isolates. All isolates replicated in the colon epithelial cell culture model. Within the subset, differences between isolates carrying the D614G amino acid exchange and with original spike protein were observed.
Lastly, elevated caspase activity was demonstrated in two cell culture models including human airway epithelium in air-liquid interface culture.
Subsequently, caspase inhibition by small-molecule compound Emricasan and its effects on the cytopathic effect observed in cell culture were studied. Here, increased cell survival in a colon epithelial cell line was shown with unimpaired virus replication. Elevated caspase activity was identified as early marker of infection and validated by testing across 20 clinical virus isolates.
This study offers information on infectivity that can help shape the understanding of transmission risk. As such, parts of the data collected here were used for validation of rapid antigen tests. The insights gained by studying caspase activity contributed in part to the development of a drug screening method by Bojkova et al.,41 thus aiding routine laboratory workflow. It was demonstrated that Emricasan exhibits no antiviral effect, while the finding of increased cell survival in cell culture could give rise to further research on prevention of tissue damage.
This dissertation is about case competition in headless relatives. Case competition is a situation in which two cases are assigned but only one of them surfaces. One of the constructions in which case competition takes place is in headless relatives, i.e. relative clauses that lack a head. This dissertation has two goals: (i) to give an overview of the data, and (ii) to provide an account for the observed data.
The grammaticality of a headless relative is determined by two aspects. The first aspect concerns which case wins the case competition. In all languages with case competition that I am aware of, this is determined by the case scale in NOM < ACC < DAT. A case more to the right on the scale wins over a case more to the left on the scale. This scale is not specific to case competition in headless relatives, but it can also be observed in syncretism patterns and morphological case containment. I show that that the case scale can be derived from assuming the cumulative case decomposition (cf. Caha 2009). A case wins over another case when it contains all features that the other case contains.
The second aspect of case competition in headless relatives concerns whether the winner of the case competition is allowed to surface when it wins the case competition. The winning case can be either the internal case required by the predicate in the relative clause, or the external case required by the predicate in the main clause. It differs from language to language whether they allow the internal and the external case to surface.
All language types I discuss allow for a headless relative when the internal and the external case match. The unrestricted type of language allows both the internal case and the external case to surface when either of them wins the case competition. Examples of this language type are Old High German, Gothic and Ancient Greek. The internal-only type of language allows only the internal case to surface when it wins the case competition, and it does not allow the external case to do so. An example of this language type is Modern German. The external-only type of language allows only the external case to surface when it wins the case competition, and it does not allow the internal case to do so. To my knowledge, there is no language that behaves like this. The matching type of language allows neither the internal nor the external case to surface when either of them wins the case competition. An example of this language type is Polish.
To account for the data, I set up a proposal that generates the attested patterns and excludes the non-attested ones. I let the variation between languages follow from properties of languages that can be independently observed. By investigating the morphology of the languages, I suggest differences between the lexical entries in the different languages. These different lexical entries ultimately lead languages to be of different types. In my proposal, I assume that headless relatives are derived from light-headed relatives. Light-headed relatives contain a light head and a relative pronoun. In a headless relative either the light head or the relative pronoun is deleted. The necessary requirement for deletion is that the deleted element (either the light head or relative pronoun) is structurally or formally contained in the other element.
I motivate the analysis for the internal-only type of language for Modern German, for the matching type of language for Polish and for the unrestricted type of language for Old High German. I first identify the morphemes that the light heads and relative pronouns in the languages consist of, and then I show to which features each of the morphemes correspond. The crucial difference between the internal-only type of language Modern German and the matching type of language Polish is how the phi and case features are spelled out. In Modern German they are spelled out by a phi and case feature portmanteau, and, in Polish, the same features are spelled out by a phi feature morpheme and a case feature morpheme. Old High German differs from the other two languages in that it has light heads and relative pronouns that are syncretic. I show how these differences in the morphology of the languages ultimately leads to different grammaticality patterns in headless relatives.
Comparing my account to others shows that all proposals account for the case facts using some kind of case hierarchy. The proposals differ in how they model the variation, both in the technical details of the proposal, but more importantly, also in empirical scope and predictions they make.
Experiments on Vibrational Energy Transfer (VET) in proteins contribute to our understanding of fundamental biological processes such as allostery, dissipation of excess energy, and possibly enzymatic catalysis. While these processes have been studied for a long time, many questions remain unanswered. The aim of this work was to expand the application of existing spectroscopic techniques to investigate VET, seeking tailored solutions for the diversity of proteins and amino acid environments. Additionally, new target proteins were to be established to broaden the spectrum of VET experiments towards the role of VET and low-frequency protein modes (LFMs).
To test their suitability as VET sensors, the non-canonical amino acids (ncAAs) Azidoalanine (N3Ala), azido-L-Homoalanine (Aha), p-azido-Phenylalanine (N3Phe), p-cyano-Phenylalanine (CNPhe), and 4-cyano-Tryptophan (CNTrp) were coupled to the VET donor β-(1-azulenyl)-L-Alanine (AzAla) in dipeptides. Their spectral properties were compared using FTIR and VET spectra in H2O, dimethyl sulfoxide, and tetrahydrofuran.
The solvent strongly influences the measured VET signals, which can be explained by the direct interaction of the solvent with the dipeptides. Additionally, the peak time within the subgroups of azide and nitrile sensors increased with the size of the side chain, indicating the dependence between peak time and the distance between VET donor and sensor. When incorporated into a protein, solvent interactions are less dominant. Therefore, Aha, N3Phe, and CNPhe were additionally incorporated at two different positions in the PDZ protein domain and investigated. Due to Fermi resonances, signals from azide sensors are challenging to predict, unlike those of the nitrile sensors.
Overall, the experiments showed that nitrile groups can serve well as VET sensors, as their lower extinction coefficient is compensated for by a narrower bandwidth. This expands the number of potential target proteins, and sensor incorporation can be less disruptive at various protein locations.
Since the VET donor AzAla can inject the energy of a photon into a protein as vibrational energy at a specific location, it can also be used for the targeted excitation of LFMs. If these modes are involved in an enzymatic reaction, a direct influence on activity is expected. This hypothesis has long existed but has not been definitively verified. Some studies have found evidence for the involvement of LFMs in formate dehydrogenase (FDH) catalysis. Therefore, FDH was chosen for the investigation of LFMs in enzymes. This specific system additionally allows the use of a natural VET sensor: it forms a stable complex with NAD+ and N3-, an excellent IR marker. Thus, it provided the opportunity to test low-molecular-weight non-covalent ligands as VET sensors.
After ensuring sufficient AzAla supply through the internal establishment of an enzymatic synthesis, AzAla could be incorporated at various positions in FDH. Despite spectral overlap between free and bound N3-, the latter could be identified by its narrower FWHM. For some variants, no binding could be observed. Circular dichroism spectra showed that these variants structurally deviate slightly from other variants and the wild type (WT). VET could be observed over 22 Å from two regions of the protein to the N3- bound in the active center, at protein concentrations of below 2 mM. Unbound N3- did not generate signals, allowing it to be added in excess ensuring the saturation of the protein in VET experiments.
The activity of FDH WT and four AzAla mutants was investigated under substrate saturation without and with AzAla excitation. In these experiments, a slight reduction in activity under illumination was observed, even for the WT, who is not expected to interact with the excitation light. So far, a difference in sample temperature cannot be excluded as the cause for this decline.
The presented experiments with FDH illustrate the potential of low-molecular-weight ligands as VET sensors, with N3- being particularly attractive due to its simple structure (preventing Fermi resonances) and its high extinction coefficient. Its use can add many metalloproteins as potential targets for VET experiments and allows investigation without a VET sensor ncAA. Additionally, initial experiments were conducted to measure light-dependent FDH activity. By specifically exciting protein LFMs, this project could contribute in the future to answering longstanding questions about the extraordinary catalytic efficiency of enzymes.
The simultaneous inhibition of HDACs and BET proteins has shown promising anti-proliferative effects against different cancer types, including the difficult to treat pancreatic cancer. In this work, the strategy of concurrently targeting HDACs and BET proteins was pursued by developing different types of dual inhibitors.
By developing a novel scaffold that selectively inhibits HDAC1/2 together with BET proteins in cells, an effective tool for the investigation of pancreatic cancer, and other diseases which are sensitive to epigenetic processes, was created. The compound’s small size further gives the opportunity to further develop the inhibitor towards optimized pharmacokinetic properties, potentially resulting in a drug for cancer treatment.
A second novel approach that was pursued, was the development of a small-molecule degrader, targeting HDACs and BET proteins. Through synthesizing a variety of different molecules, a compound that was capable of lowering BRD4 levels and, at the same time, increasing histone acetylation was developed. While additional mechanistic investigations are needed to verify the degradation, the potent antiproliferative effects in pancreatic cancer cells encourage further studies following this alternative new strategy.
This thesis comprises the usage of two commonly known hinge-binding moieties in drug discovery. First, the quinazoline scaffold of gefitinib (5) was utilized in a macrocyclization strategy to introduce selectivity. In general, the quinazoline hinge-binding moiety is a commonly used scaffold which can be found in 14% of approved kinase inhibitors. The most familiar applications are EGFR inhibitors such as gefitinib (5), erlotinib (6), afatinib, or dacomitinib for the treatment of NSCLC. But other kinases like CDK2, CDK4, or p38 are reported targets as well.
The N-phenylquinazolin-4-amine moiety of gefitinib (5) was conserved however, the residues at the aromatic ring in the linker were modified, the residue targeting the solvent-exposed region was varied, and the linker at the C6 position of the quinazoline was adjusted to enable the macrocyclization. An overview of the structural modifications is shown in Figure 35A.
Kinome-wide screening of gefitinib (5) revealed several off-targets besides EGFR (Figure 35B), making it an excellent starting point for a macrocyclization strategy. Introducing a linker to the N phenylquinazoline-4-amine scaffold and retaining the residues on the aromatic ring as well as the methoxy group targeting the solvent-exposed region improved the selectivity profile and the efficacy towards EGFR WT and its mutants. Truncation of the linker moiety led to the mutant selective macrocycle 26f with an excellent kinome-wide selectivity profile (Figure 35B). An inhibitor that is effective on EGFR mutations while ineffective on the EGFR WT could represent an enhancement of patient treatment, as it potentially causes less side effects. Further studies could determine the effect of the most promising macrocycles in lung cancer cell lines. Additionally, the pharmacokinetic properties could be optimized, e.g. by introducing solubilizing groups, targeting the solvent-exposed region.
The second scaffold comprises the 3-aminopyrazole-based hinge-binding moiety. It is a privileged scaffold in medicinal chemistry for the development of kinase inhibitors. Previous publications report the anti-proliferative and anti-cancer potential of pyrazole-based molecules. They play a crucial role in the treatment of various diseases and cancer types like inflammation disorders, lymphoma, or breast cancer. This scaffold can be found e.g. in the aurora kinase inhibitor tozasertib or in the promiscuous kinase inhibitor 23, published by Statsuk et. al. Rescreening compound 23 in a comprehensive kinase panel against 468 human protein kinases confirmed the unselective behavior with a selectivity score of S35 = 0.56 (Figure 36B), making it a great starting point for further optimizations. The N-(1H-pyrazol-3-yl)pyrimidin-4-amine scaffold was conserved however, the residues targeting the solvent-exposed region were varied and different linkers were attached.
The introduction of different residues at the pyrazole dramatically influenced the selectivity profile of the desired kinases. Ester moieties caused to a favorable combination of selectivity and potency towards the kinase of interest CDK16. The removal of additional residues at the pyrimidine, targeting the solvent-exposed region, increased the efficiency towards CDK16. Further optimization led to the highly potent and selective CDK16 inhibitor 98d (IC50 = 33 nM). NanoBRETTM screening against the complete CDK family revealed a preferred inhibition of the PCTAIRE and PFTAIRE subfamily with cellular IC50 values of 20 nM – 120 nM and 50 nM – 180 nM, respectively. A FUCCI cell cycle assay and viability assessment of 98d confirmed previously published results, reporting a G2/M cell cycle arrest followed by apoptosis and accumulation of p27 through knockout of CDK16 in SCC cells. Consequently, further studies could evaluate the anti-tumor activity of 98d in SCC and NSCLC or elucidate the effect of 98d in AMPK-related macroautophagy. 98d represents a novel tool compound to investigate the understudied kinases of the PCTAIRE family and enable to enlighten the biological role of those kinases.
Macrocyclization of the N-(1H-pyrazol-3-yl)pyrimidin-4-amine core resulted in the selective BMPR2 inhibitor 110a. It showed a good binding affinity towards BMPR2 with a KD value of 205 nM as well as a good potency with an IC50 value of 506 nM. A comprehensive selectivity screen against 468 kinases revealed an excellent selectivity profile with S35 = 0.01. As no BMPR2 inhibitors have been published so far, 110a represents a novel compound that may provide further insights into the canonical BMP pathway, noncanonical signaling, or its impact on BMPR2-associated diseases like PAH.
The introduction of additional residues targeting the solvent-exposed region shifted the selectivity towards the MST kinases. The exchange from the pyrimidine to a quinazoline moiety resulted in the highly potent and selective macrocyclic MST3 inhibitor 113c. NanoBRETTM measurements demonstrated the preferred inhibition of MST3 with IC50 values of 210 nM and 30 nM for intact and lysed cells, respectively. A weaker activity could be seen for MST4 with 1.8 µM and 510 nM, while MST1 and MST2 were not affected. To date, no selective MST3 inhibitors have been published, making 113c a valuable tool compound for further functional studies. As MST3 is influencing the cell cycle progression, 113c could be tested in a further cell cycle assay to elucidate the inhibitory effect of 113c on MST3 and consequently on the cell cycle. Furthermore, the anti-tumor activity of 113c in breast cancer could be determined, as Madsen et. al. reported a high MST3 and MST4 activity triggered by FAM40B mutations.
Protein kinases are key signalling molecules and transduce intracellular signals via the post-translational phosphorylation of substrate proteins, often other protein kinases. Dysregulation of this protein family has been linked to many diseases including neurodegenerative diseases, inflammation and cancer and amplifications of kinases play important roles as diagnostic biomarkers in a variety of cancers. Various strategies have been developed to treat dysregulated protein kinases. Most commonly, chemical small molecule inhibitors are used to modulate protein kinase activity in cancer cells. Many inhibitor and general research efforts have focused only on a small subset of protein kinases, resulting in a large portion of the kinome, the so-called “dark” kinome, remaining largely unexplored. As part of the strategy to develop inhibitors, it is crucial to understand the structure-activity-relationships (SAR) of small molecules to the activity towards the targets based on understanding small molecule-target affinities as determined by biophysical, biochemical, and cellular methods. However, not always do in vitro determined affinities, which are frequently used as basis for SAR considerations, correlate with the cellular affinity. For protein kinases in particular, it has been shown that the cellular concentration of the natural substrate adenosine-triphosphate (ATP) plays a critical role for the resulting small molecule affinity, as substrate and inhibitor frequently compete for the same binding site of the protein kinase. The cellular target engagement assay NanoBRET is a versatile assay that overcomes this problem and can be used to assess binding of a compound to the full-length protein kinase, in the presence of natural binding partners. Another important factor in inhibitor optimization is the selectivity of the molecule within the family of protein kinases. When comparing the selectivity profiles of small molecule kinase inhibitors in vitro and in cells, different profiles can be observed. Frequently, a compound, binds fewer protein kinases with high affinity in cells, indicating that cellular profiling of protein kinase inhibitors is necessary to understand the selectivity profile of an inhibitor.
The goal of this work was to understand cellular SARs of inhibitors for kinases and dark kinases in medicinal chemistry projects, and to understand the selectivity profiles of existing small molecules in cells, including already approved drugs and clinically used kinases inhibitors. The cellular potency and selectivity aspects guided optimization of the inhibitors towards selective small molecules ‘chemical probes’ or highly validated inhibitors with a narrow selectivity profile as part of ‘chemogenomic libraries’. One strategy to improve selectivity has been to use sterically restricted cyclic small molecules, called macrocycles, that allow fewer conformations of the molecule than their non-cyclic parent compound. In this thesis the dark kinase STK17A was investigated. Macrocyclization was used to develop a selective chemical probe molecule that is also selective in the cellular context. For another kinase, SIK2, a rational design approach was used to exclude off-targets bound by the lead structure, resulting in a chemical probe that selectively targets the SIK1/2/3 proteins. Assessing cellular potency of another series of inhibitors, a probe was developed for the PCTAIRE subfamily of the CDK kinases. This required co-expression of the binding partners of CDKs, the cyclins, in cells to obtain a functional assay. To identify new candidates for the neglected family of splicing kinases comprising the CLK, SRPK, DYRK and HIPK protein kinase subfamilies, a literature review was conducted, and the best small molecule candidates were compared for their target engagement in cells. This led to a series of small molecule inhibitors that may be used as a set or single agents to target the CLK proteins and SRPK proteins or in combination to target the remaining proteins. In search of new starting points for this subfamily of kinases, an initial screen with NanoBRET technology was performed using a library of over 2000 inhibitors, and new starting points were identified. Additionally, a set of clinical and approved small molecule kinase inhibitors was assessed for their selectivity in cells. Several highly selective molecules were identified that were much less selective in in vitro approaches. The set of data allowed for a comprehensive comparison of cellular potencies with published data using in vitro binding, in vitro activity and data obtained from cell lysates and identified several protein kinases that would need to be investigated in cells...
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.
G-protein-coupled receptors (GPCRs) from the largest family of receptors in the human body. They contain seven transmembrane helices. There are roughly 800-900 GPCR genes expressed in humans encoded by 4-5% of the human genome. These receptors are the most important signal transducers and play a crucial role in cell physiology and pathology, by using various extracellular stimuli to start complex intracellular signaling. GPCRs interact with a wide variety of stimuli from small molecules (photons, ions, amines) to large molecules (peptides, small proteins), and trigger downstream cascade effects by interacting with G-proteins, GPCR kinases, and ß-arrestin. Because of their crucial roles in many cellular functions, GPCRs are the most important drug targets for the pharmaceutical industry. Approximately 30% of the clinically approved drugs available in the market are against GPCRs. In this work achieved successful expression and purification of GPCRs from class-C and class-A families. Combined with biochemical experiments, DNP-ssNMR, and molecular simulation helped to decipher the mechanism of crosstalk between the allosteric modulator, and the orthosteric binding sites of the peptide receptor. The main findings and major highlights of this dissertation are outlined in the following paragraphs.
The calcium-sensing receptor (CaSR) belongs to the GPCR class-C family and contains a large extracellular domain. This receptor regulates Ca2+ homeostasis in blood and its absorption in the kidney and bone. To understand the molecular and structural mechanisms of these receptors their cDNAs were cloned into the pPICZ and pOET1 vectors to express them in Pichia pastoris and in Sf9 insect cells respectively. The CaSR was successfully expressed heterologously in Pichia pastoris and in the insect cell with high yield. The purified receptor purified in LMNG shows no aggregation in a monomeric state. Further optimization was performed to use it for cryo-EM sample preparation and structure determination. In 2nd part of the thesis, different mini G (mini Gs, mini Gi, mini Gqs, and mini Gsi) DNA constructs were made and expressed in E. coli. It's challenging to obtain active GPCR structures due to the instability of G-protein or G-protein-bound receptors. In this work, all mini-G proteins and chimera mini-G-protein-maltose binding protein (MBP) were cloned and expressed in E. coli and purified with a His-trap column with high purity.
In the last part of the thesis, to decipher the mechanism of allosteric modulation of orthosteric binding sites in the bradykinin receptor was produced and characterized in insect cells. Angiotensin I converting enzyme inhibitors (ACEIs), are very important drugs and are widely used for the treatment of hypertension, congestive heart failure, and diabetic neuropathy. These drugs target primarily the catalytic zinc center of the ACE. It has been shown that enalaprilat, a well-known ACEI, binds to a proposed zinc-binding site on hB1R and even directly activates the receptor. To obtain information on the influence of ACEIs on the receptor-peptide complex, and to have a better understanding of the molecular mechanism and structural plasticity of the bradykinin receptor and PAM, we used the three commercially available ACEIs captopril, enalaprilat, and lisinopril for our studies. An important result of this thesis is that though enalaprilat, captopril, and lisinopril all have similar functional properties in humans, each one regulates the orthosteric binding site of hB1R in a unique way. These findings provide atomic insights into the allosteric modulation of the bradykinin receptor. This study along with the effects of ACEI on the binding sites of receptors also deciphers the effects of the Zn2+ as well as the crosstalk between zinc binding sites and ACEI compounds. The binding of allosteric modulators induces distinct endogenous binding, which might aid in creating new possibilities in the pharmaceutical field.
Epithelial cells enable essential physiological functions, including absorption, morphogenesis, secretion, and transport. To execute these functions, epithelial cells often form three-dimensional shapes that include curved sheets of cells surrounding a pressurized fluid-filled lumen. These three-dimensional tissues (called domes) are essential for organ function, but when they are not working properly, developmental defects, inflammation, and cancer can ensue. Recently, it has been shown that the cells that form domes show active superelasticity on micropatterned plates.
We show here that the immortalized renal proximal tubule epithelial cell line, LLC-PK1, stereotypically forms tubules in 10 days. Tubule formation takes place in 4 stages. When cells are plated on a culture dish, they form a monolayer on the 1st day; on the 3rd day, three-dimensional structures are formed, called domes; and after the 4.5th day, these domes start fusing to begin the transition stage and transit to the tubule stage. At the end of the 10th day, differentiated, elongated, and matured tubes form (Figure 3.1). Therefore, tubule formation is a self-organized, stereotypic morphogenetic program under long-term, unperturbed tissue culture conditions.
We propose that tubulogenesis is a two-step process in proximal tubules by doming and wrapping. The process begins with dome formation, and as the cell layers come together in the transition stage at the edge of the dome, this leads to the formation of the lumen of the eventual tubule. We also found that F-actin provides the mechanical strength during the formation of these three-dimensional structures during tubule formation. To better understand this 4-step process on a molecular level, we performed proteomics of tubule formation to identify the different proteins that play a significant role in proximal tubule development. Importantly, we identified proximal tubule markers like synaptopondin, angiotensin 1-10, collectrin, polycystin 1, and polycystin 2. These proteins play an important role in renal tube formation and differentiation.
Cell division is carried out by highly conserved cyclin-CDK complexes, which phosphorylate various cellular components. Cyclin-CDKs act differently depending on the cell cycle phase and work cooperatively to create DNA replication and cytokinesis. Therefore, we identified that cyclin-B1, marker of proliferation Ki-67, the RAD51 recombinase, and proliferating cell nuclear antigen (PNCA) are upregulated in the monolayer stage, and the expression decreases as tubule formation takes place. The proximal tubule reabsorbs 60-65% of the glomerulus filtrate. Therefore, it requires a lot of energy generated by using the fatty acid oxidation (FAO) pathway. In our model, we found FAO expression is higher than that of the other metabolic pathways.
We found expression of an intricate protein network in mitochondria, which we interpret as a sign of mitochondrial homeostasis being vital for the FAO pathway to work. Furthermore, we also identified different types of transporters at each stage of proximal tubule formation, and we could recognize different cytoskeletal components playing a significant role in each stage of proximal tubule formation, for instance, at the monolayer stage, vimentin expression is high, and its expression is reduced as tubules form. Hence, this 2D system, at this step of characterization, seems suitable to use to study differential transport protein expression and how this might relate to physiological functions and syndromes.
Next, we inhibited different transporters using specific inhibitors and analyzed the effect on dome and tubule formation. We identified that Na+/K+ ATPase and vacuolar H+ ATPase play a significant role in the process of epithelial dynamics. Digoxin (a Na+/K+ ATPase inhibitor) treatment inhibits dome and tubule formation. Bafilomycin (a v-ATPase inhibitor) treatment demonstrated a delay in dome and tube formation. Therefore, this study shows that this 2D proximal tubule novel system can be used for screening of pharmacological leads in the context of specific aspects of kidney physiology.
Despite the recent success in growing kidney organoids, they are not well suited to investigate various pathophysiological conditions in vitro for several reasons: They grow in 3D and form a tissue that later needs to be dissected/cleared and stained to investigate pathophysiological changes. Moreover, organoids require complex and expensive protocols for generation and are challenging to use in screening approaches. Therefore, we set out to demonstrate feasibility for our 2D system using normal renal epithelial cells, which are the origin of various pathological conditions, to study pathophysiological conditions.
RNAs are key players in life as they connect the genetic code (DNA) with all cellular processes dominated by proteins. The dynamics study of RNA modifications has become an important part of epitranscriptomics field, as they are reversible and dynamically regulated far more than originally thought. Several evidences portrait a catalog of RNA modifications and their links to neurological disorders, cancers, and other diseases. Therefore, a deeper investigation of RNA modifications dynamics including their specific profile, biosynthesis, maturation and degradation is required for pioneering disease diagnostics and potential therapeutics development.
Mammalian tissues reveal diverse physiology and functions, despite sharing identical genomes and overlapping transcription profiles. So far, most research on this diversity were referred to variable transcriptomic processing among tissues and differential post-translational modifications that tune the activity of ubiquitous proteins to each tissue’s needs. However, study of epitranscriptome dynamics relevance to tissues’ functions is not yet revealed. There are a few reports on mouse RNA modification profiles, which are focused on only one type of RNA and limited types of modifications. The first part of my dissertation aims to generate a comprehensive tissue-specific as well as RNA species-specific investigation of all existing RNA modifications, as well as investigating potential codon as an effector of translation diversity among tissues. Using isotope dilution mass spectrometry, I created a library including absolute quantification of 24 tRNA modifications, and up to 22 rRNA modifications. I find an almost identical pattern of modifications in 28S- and 18S-rRNA subunits, but different levels of most modifications in 5.8S-rRNA or tRNA among highly metabolic active organs to e.g. heart or spleen. The findings suggest a high degree of similarity between quantities of modifications between presented data to all previous literature, confirming that it is a suitable model to study the tissue-based RNA modification patterns.
The most noticeable difference exhibited was tRNA modifications, which suggests a discerning tRNA engagement in translation between different organs. This can be a good start for investigation of codon bias in enriched genes of specific tRNA modifications among different tissues that may cause differential translation pattern, causing organs diversity. Moreover, 5.8S rRNA data showed an organ-specific pattern, which proposes functional diversity of this rRNA subunit among different organs. Future studies must investigate the possible implications of organ-specific 5.8S rRNA modifications functions, to elucidate the core of the observed variations.
Abundance of RNA modifications is carefully regulated in cells. Part of this regulation is achieved by activity of enzymes removing RNA modifications, named RNA erasers. Literature has provided proof of demethylation activity of AlkBH family on different types of RNA. For instance, AlkBH5 is known to remove m6A in mRNA, and both AlkBH3 and AlkBH1 are reported to demethylate m1A and m3C in tRNA. So far, RNA erasers are mainly studied in vitro and direct in vivo studies are missing.
Mass spectrometry is a promising approach in the identification and quantification of many RNA modifications. However, mass spectrometric analysis by nature, offers only a static view of nucleic acid modifications, and fails to account for their cellular dynamics. Nucleic Acid Isotope Labeling coupled Mass Spectrometry (NAIL-MS) was developed as a powerful technique which differentiates among remaining, co-transcriptional and post-transcriptional incorporation of a target RNA modification. This temporal resolution captures the dynamic nature of RNA modifications, and offers absolute and relative quantification of all existing nucleosides in any given RNA sequence, including different isotopologues and isotopomers.
The objective of this study was to uncover the first “direct” iv vivo data on AlkBH1, 3 and 5 activities in demethylating each of their specific substrates. I investigated the RNA modification changes through pulse-chase experiments in collaboration with my colleagues Dr. Kayla Borland and Dr. Felix Hagelskamp. A remarkable observation was that AlkBH3 protein -but not AlkBH1- was overexpressed under methylating reagent treatment in vivo. These findings suggest that AlkBH3 -but not AlkBH1- is a methylation damage induced enzyme, that potentially triggers ASCC-AlkBH3 alkylation repair complex after aberrant methylation damage by MMS treatment. However, using NAIL-MS method, we could not detect any significant effect on demethylation activity of the enzymes in tRNA, rRNA or mRNA towards the possible substrates m6A, m1A, m3C, m5C and m7G in vivo. These distinct outcomes can be partially explained by probable existence of other unidentified demethylases that compensate for AlkBHs demethylation activity; or more probably, demethylation may still arise by remaining active AlkBHs to restore the original levels of the observed RNA modifications, since a stronger KD or a complete knockout of AlkBHs genes was not possible. Further research on fully knocked out AlkBHs genes can provide stronger evidence on unidentified demethylation activities in HEK cells.
Neutron stars are unique laboratories for the investigation of the high density properties of bulk matter. In this work, the astrophysical constraints for a phase transition from hadronic matter to deconfined quark matter are examined thoroughly. A scheme for relating known astrophysical observables such as mass, radius and tidal deformability to the parameter space of such a transition is devised and applied to the set of data currently available.
In order to span a wide parameter space, a highly parameterizable relativistic mean field equation in compliance with chiral effective field theory results is used, where the stiffness of the equation of state can be varied via the effective mass at saturation density. The phase transitions are modelled using a Maxwell construction and assumed to be of first order, with a constant speed of sound quark matter model. The resulting equations of state are analyzed and divided into four categories, which can be used to constrain the parameter space that allows phase transition. It is highlighted, that a subset of this parameter space would even be detectable without the need of higher precision measurements. A phase transition at high densities is shown to be particularly promising in this regard. Finally, the groundwork is laid to apply the equation of state used in this work for supernova or merger simulations, by extending it to non-zero temperatures.