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- Medizinische Klinik (bis 2004) (8)
- Klinik und Poliklinik für Nuklearmedizin (7)
- Klinik und Poliklinik für Unfall-, Hand-, Plastische und Wiederherstellungschirurgie (Chirurgische Klinik II) (7)
- Institut für Geographie (6)
- Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) (6)
- Abteilung für Molekulare Innere Medizin (in der Medizinischen Klinik und Poliklinik II) (5)
- Center for Computational and Theoretical Biology (5)
- Graduate School of Law, Economics, and Society (5)
- Institut für Klinische Epidemiologie und Biometrie (5)
- Institut für Paläontologie (5)
- Institut für Psychologie (bis Sept. 2007) (5)
- Lehrstuhl für Molekulare Psychiatrie (5)
- Institut für Kulturwissenschaften Ost- und Südasiens (4)
- Institut für Praktische Theologie (4)
- Klinik und Poliklinik für Allgemein-, Viszeral-, Gefäß- und Kinderchirurgie (Chirurgische Klinik I) (4)
- Klinik und Poliklinik für Hals-, Nasen- und Ohrenkrankheiten, plastische und ästhetische Operationen (4)
- Lehrstuhl für Silicatchemie (4)
- Missionsärztliche Klinik (4)
- Neuphilologisches Institut - Moderne Fremdsprachen (4)
- Wirtschaftswissenschaftliche Fakultät (4)
- Fakultät für Humanwissenschaften (Philos., Psycho., Erziehungs- u. Gesell.-Wissensch.) (3)
- Fakultät für Mathematik und Informatik (3)
- Frauenklinik und Poliklinik (3)
- Institut für Mineralogie und Kristallstrukturlehre (3)
- Institut für Pädagogik (3)
- Katholisch-Theologische Fakultät (3)
- Klinik und Polikliniken für Zahn-, Mund- und Kieferkrankheiten (3)
- Universität Würzburg (3)
- Abteilung für Forensische Psychiatrie (2)
- Augenklinik und Poliklinik (2)
- Institut für Biblische Theologie (2)
- Institut für Geschichte der Medizin (2)
- Institut für Musikforschung (2)
- Institut für Systemimmunologie (2)
- Medizinische Poliklinik (bis 2004) (2)
- Neuphilologisches Institut - Moderne Fremdsprachen (bis 2007) (2)
- Poliklinik für Zahnärztliche Prothetik (2)
- Graduate Schools (1)
- Institut für Altertumswissenschaften (1)
- Institut für Anglistik und Amerikanistik (1)
- Institut für Geschichte (1)
- Institut für Historische Theologie (1)
- Institut für Klinische Transfusionsmedizin und Hämotherapie (1)
- Institut für Politikwissenschaft und Soziologie (1)
- Institut für Rechtsmedizin (1)
- Institut für Systematische Theologie (1)
- Kinderklinik und Poliklinik (1)
- Klinik für Anaesthesiologie (bis 2003) (1)
- Klinik und Poliklinik für Haut- und Geschlechtskrankheiten (bis 2003) (1)
- Klinik und Poliklinik für Strahlentherapie (1)
- Poliklinik für Kieferorthopädie (1)
- Poliklinik für Zahnerhaltung und Parodontologie (1)
Schriftenreihe
Sonstige beteiligte Institutionen
- Helmholtz Institute for RNA-based Infection Research (HIRI) (8)
- Fraunhofer-Institut für Silicatforschung ISC (5)
- Technische Hochschule Nürnberg Georg Simon Ohm (3)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Raumfahrtsysteme (2)
- EMBL Heidelberg (2)
- Institut für Tierökologie und Tropenbiologie (2)
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg (2)
- Universität Belgrad, Serbien (2)
- Universitätsklinikum Münster (2)
- Universitätsklinikum Würzburg (2)
ResearcherID
- B-1911-2015 (1)
- B-4606-2017 (1)
- C-2593-2016 (1)
- D-1250-2010 (1)
- I-5818-2014 (1)
- J-8841-2015 (1)
- M-1240-2017 (1)
- N-2030-2015 (1)
- N-3741-2015 (1)
EU-Project number / Contract (GA) number
- 311781 (1)
- 320377 (1)
- EU (FP7/ 2007-2013) (1)
In this work, two techniques, based on the established method of pump--probe spectroscopy were used to investigate the properties of molecular systems in the liquid phase within the visible spectral wavelength range.
The first technique is standard transient absorption (TA) spectroscopy which was applied to a diazo-precursor to identify the formation of a biradical in an inert solvent after UV excitation. With the combination of EPR spectroscopy and quantum chemical calculations, the formation of a biradical in an unpolar and non-protic solvent was proven. Besides, in the presence of air or a polar and protic solvent, the biradical reacts ultrafast to various side products.
The second technique is time-resolved circular dichroism (TRCD) spectroscopy, which was performed in two different ways. The first approach based on a pulse-enantiomer (PE) setup, where an initially circularly polarized pulse was split into two pulses, of which one was mirrored under normal incidence, to flip its polarization. The result was two pulses with mirrored polarization states that propagate collinearly to the sample as left and right circularly polarized probe pulses. The alignment procedure as well as the drawbacks of this setup are described in detail.
However, a new TRCD setup was built that used a polarization grating to get left and right circularly polarized pulses. With the experiences of working with the PE setup, the new TRCD setup could be optimized so that TRCD spectra of a chiral squaraine polymer could be measured. With the help of quantum chemical calculations, the signals were assigned to exciton dynamics that describe spatial and energetic rearrangements of the excitation energy. The alignment and the measurement procedures to perform TRCD spectroscopy with the new setup are described in detail for future experiments.
Climate change and associated extreme weather events are a threat not only for agricultural
yields but the plant kingdom in general. Therefore, there is a great necessity to better
understand the plants' intrinsic mechanisms to combat heat stress. The plant heat stress
response already has been investigated in many studies, including the role of HSFA1
transcription factors as the central regulators. Other aspects such as the initial perception of
heat and the role of heat-induced changes in plant metabolism are rather unknown.
In this thesis, the natural variation of 250 different accessions of Arabidopsis thaliana was
investigated regarding the temperature-dependent accumulation of raffinose and
triacylglycerols. A connection between these phenotypes and respective genotypes was
established using genome-wide association studies. As a result, the candidate gene
TREHALOSE-6-PHOSPHATE SYNTHASE 1 (TPS1), was identified. Enzymatic TPS1 is responsible
for the synthesis of trehalose 6-phosphate (T6P), which serves as an indicator and regulator
of sucrose homeostasis.
Subsequent analyses using tps1 tilling mutants demonstrated a link between T6P metabolism
and an increased accumulation of various soluble carbohydrates and starch, including
raffinose both under control conditions and during heat exposure. Furthermore, the mutant
lines displayed enhanced thermotolerance and survival rates following long-term heat stress.
Transcriptome analyses, however, did not show any difference in the regulation of canonical
heat stress-associated genes. Instead, genes related to photosynthesis were overrepresented
among the differentially upregulated genes in tps1 tilling lines during heat exposure. In this
work, a direct connection of T6P signaling, sucrose homeostasis, and thermotolerance is
shown for the first time.
In a second project, two Arabidopsis thaliana accessions (Oberursel-0, accession ID: 7276;
Nieps-0, accession ID: 7268) showing distinct capacities to acquire short-term
thermotolerance were compared to identify the putative causative regulators or mechanisms
that lead to the different levels of thermotolerance.
An examination of the transcriptomes of 7268 and 7276 showed that several hundreds of
genes were already differentially regulated within 10 minutes of exposure to 32 °C or 34 °C.
Among these, several genes associated with sulfur metabolism were more highly induced in
the more thermotolerant accession 7268. However, experimental as well as genetic
manipulation of sulfur availability and metabolism did not result in altered thermotolerance.
In addition to sulfur-related genes, most of the canonical heat stress-associated genes were
more highly expressed in 7268 than in 7276. While we could not identify a causative regulator
or mechanism of differential thermotolerances, the data strongly suggests that 7268 either
has a higher overall sensitivity, i.e., the heat stress response is initiated at lower temperatures,
or stronger overall heat stress response when exposed to a certain elevated temperature.
The seasonal snow cover in the European Alps plays a crucial role in the region's climate, ecology, and economy. It affects the local climate through its high albedo, protects permafrost, provides habitats, and acts as a water reservoir that feeds European rivers. However, these functions are threatened by climate change. Analyzing snow cover dynamics is essential to predict future developments and assess related ecological and economic impacts.
This study explores the potential of long Earth Observation (EO) time series for modeling and predicting the snow line elevation (SLE) in the Alps. Based on approximately 15,000 Landsat satellite images, SLE time series were generated for the years 1985 to 2022. Various univariate forecasting models were evaluated, with the best results achieved by Random Forests, Telescope, and Seasonal ARIMA. A newly developed approach combines the best models into a robust ensemble, achieving an average Nash-Sutcliffe efficiency (NSE) of 0.8 in catchments with strong seasonal signals.
Forecasts for 2030 indicate significant upward shifts in the SLE, particularly in the Western and Southern Alps. Given the variability in results, a multivariate modeling approach using climate variables is recommended to improve prediction accuracy. This study lays the groundwork for future models that could potentially project SLE dynamics through the end of the 21st century under various climate scenarios, which is highly relevant for climate policy in the Alpine region.
The TRAF-binding receptor CD40 belongs to the TNFR superfamily and is broadly expressed on healthy cells, mainly on antigen-presenting cells, but also on other immune cells and non-immune cells. CD40 is bound by its ligand CD40L, which is essential for a wide range of immunological responses by inducing or inhibiting different pathways that are essential for a variety of cellular processes, including immune activation and maturation. (1,2) Dysregulated CD40 signalling has been implicated in inflammatory diseases, such as hyper-IgM syndrome, psoriasis, and cancer. (3–6) Due to its broad expression across various tumour types, it can serve as a tumour-associated antigen and has therefore been proposed as a target for antibodies for cancer treatment. (2,7,8)
Agonistic anti-CD40 antibodies have been demonstrated to induce anti-tumoural immune responses as well as therapeutic immunity. (2) Furthermore, prolonged stimulation of CD40 in tumour cells in vitro has been shown to decrease proliferation, increase expression of cytotoxic TNFSFLs and induce apoptosis. (9,10) Their effect on anti-tumoral responses has been well studied and anti-tumoral responses by DC maturation and suppression of malignant growth of B-cells have been confirmed and were found to induce cell death in tumours in vitro. (11–14)
Many agonistic anti-CD40 antibodies specifically have been reported to require secondary crosslinking by binding to either activating or inhibitory FcγRs to be agonistic in vitro, while in vivo studies have indicated inhibitory FcƴR2B expression as critical factor. (15–17) However, FcƴR independent agonism has also been reported for anti-CD40 antibodies. (18,19) While agonistic anti-CD40 IgG1, IgG3 and IgG4 antibodies have been shown to display FcƴR dependent agonism, agonistic anti-CD40 IgG2 antibodies have shown to display FcƴR independent agonism. Conversion of anti-CD40 IgG1 antibodies into IgG2 has also been shown to convert the antibody’s agonism into FcƴR independent agonism. (20)
To overcome FcƴR dependency, bispecific antibody fusion proteins containing a scFv as anchoring domain allowing for crosslink independent of FcƴR binding have been designed before. This approach has been found to display strong agonism for other antibody fusion proteins when bound to both targets, with response levels resembling that of FcƴR bound antibodies. (21,22)
The relevance of antibody isotype and idiotype for FcƴR-dependent agonism as well as the relevance of valency and antibody oligomerization for FcƴR-independent agonism were investigated in this study on a panel of different anti-CD40 antibodies. Several clinically investigated anti-CD40 antibodies (ADC-1013(23), APX005M(24), ChiLob7.4(25) and CP-870,893(26)) and one preclinical antibody (G28.5(27,28)) were considered. Selected antibodies were then cloned onto an IgG1, IgG1(N297A), IgG2 and IgG4 backbone. The IgG1(N297A) isotype is an IgG1 antibody with a point mutation (N297A) that is known to strongly reduce binding to FcƴR1, while reducing the binding affinity to FcƴR2B to undetectable levels. (29,30) In this work it is demonstrated that the investigated anti-CD40 antibody variants across different isotypes activate both the classical and alternative NFκB pathway by stimulating U2OS cells in an FcƴR dependent manner. Stimulation in the presence of both human FcƴRs as well as murine FcƴRs resulted in CD40 stimulation. A difference in binding competition was observed for the various anti-CD40 IgG1 antibodies, but no indication of a CRD-dependent mechanism responsible for their agonistic activity was found. Moreover, this FcƴR dependency could be overcome by creation of tetravalent antibody fusion proteins.
CRISPR-Cas systems are a versatile tool in genetic engineering because they can be easily reprogrammed to cut a specific chromosomal region or RNA transcript. The choice of nuclease, gRNA design, and target region all influence targeting efficiency, so the appropriate CRISPR components should be chosen depending on the desired application. This thesis examines factors that influence targeting in both DNA- and RNA-targeting CRISPR systems. Chapter 1 discusses the importance of target RNA abundance in shaping the immunity of type VI CRISPR systems. In bacteria, the Cas13 nuclease is known to degrade RNA specifically and non-specifically, leading to cell growth arrest, also known as dormancy. In this chapter, the factors that determine dormancy are investigated by targeting genome- and plasmid-encoded transcripts in E. coli. The observations are extended to a gRNA library targeting the entire coding genome and gRNA design rules are extrapolated. Finally, the role of Cas13 in defense is investigated by testing how the system behaves during viral infection or plasmid transformation. Chapter 2 also looks at the factors that characterize targeting efficiency, but focuses on the Cas12a DNA-targeting system in K. pneumoniae. The ultimate goal is to develop CRISPR antimicrobials as alternatives to antibiotics to eliminate multidrug-resistant and hypervirulent bacteria. Several nucleases are tested for antimicrobial activity, the Cas12a nuclease is selected and the same gRNAs are used against different strains to understand the robustness of the method. Rules for gRNA design are also investigated by looking at secondary structure and testing a gRNA library across several genomic regions in two different strains. This information is used to develop a machine-learning algorithm to predict gRNA activity. In addition, the CRISPR-Cas systems are also packaged in a T7-like phage with engineered tail fibers and delivered to K. pneumoniae. While Chapter 2 uncovers various factors that improve targeting efficiency, Chapter 3 aims to reduce targeting by the Cas9 and Cas12a nucleases to favor homology-directed repair for genome editing in E. coli. Targeting is slowed down so that some copies of the chromosomes remain intact, allowing the bacterium to survive and integrate the desired edit. To reduce targeting, different gRNA formats or nuclease variations are used, gRNA expression is modulated, or gRNAs with attenuated targeting are designed. Attenuated gRNAs are tested to introduce point mutations as well as whole gene deletions and substitutions, and the method is extended to Klebsiella oxytoca and Klebsiella pneumoniae, where it is applied to block transcription of an antibiotic resistance gene in the genome, restoring sensitivity to ampicillin. Overall, this work discusses how changing the CRISPR components alters the outcome of targeting and highlights strategies to achieve efficient or attenuated targeting depending on the desired application.
Hematopoietic stem cell transplantation (HSCT) is a promising therapy for various malignancies and immune deficiency diseases, but it is often associated with graft versus host disease (GvHD), a life-threatening complication arising from immunological incompatibility between donor T cells and host tissues. Current standard therapies for GvHD involve the use of calcineurin inhibitors (CNIs) such as cyclosporine A (CsA) and tacrolimus (FK506), which effectively suppress T cell activation and proliferation. However, these drugs also impair the graft versus leukemia (GvL) effect, which is the advantageous ability of donor T cells to eliminate malignant cells.
Our previous studies demonstrated that the selective deletion of one or two members of the nuclear factor of activated T cells (NFAT) transcription factor family in donor T cells effectively prevented harmful GvHD without compromising GvL activity. This finding highlighted the potential of NFAT as a therapeutic target for GvHD.
In this study, we developed and evaluated novel treatment strategies that specifically target NFAT during allogeneic HSCT. We focused on the development of small molecules that mimic the PxIxIT motif of NFAT, thereby competitively inhibiting its binding to CN (CN) without affecting CN phosphatase activity. We identified two promising candidates, C17 and MRD37, and evaluated their efficacy in inhibiting NFAT and suppressing pro-inflammatory cytokine production. Among these molecules, MRD37 demonstrated the highest potency in selectively inhibiting NFAT at a sub-IC50 concentration without compromising the functional capacity of regulatory T cells (Tregs) in vitro. Furthermore, we demonstrated that MRD37 could effectively protect mice from major mismatch GvHD in vivo. This protection was initially predicted to be due to the enhanced presence of Tregs and Tr1-type cells but when pretreated T cells devoid of Tregs were transplanted it unraveled an additional increase of Th2-like cytokine release. Finally, our in vitro studies on human T cells confirmed that MRD37 could specifically inhibit NFAT while preserving the Treg population, suggesting its potential as a novel therapeutic strategy for GvHD.
Our findings provide compelling evidence for the development of MRD37 as promising alternative to CNIs in mitigating GvHD.
In this thesis I explore the interplay of geometry and quantum information theory via the holographic principle, with a specific focus on geometric phases in quantum systems like two interacting qubits, and how they relate to entanglement measures and Hilbert space factorisation. I establish geometric phases as an indicator for Hilbert space factorsiation, both in an abstract sense using von Neumann operator algebras as well as applied to the eternal black hole within the AdS/CFT correspondence. For the latter case I show that geometric phases allow to diagnose non-factorisation from a boundary point of view. I also introduce geometric quantum discord as a second geometric measure for non-factorisation and reveals its potential implications for the study of black hole microstates.
Biochemical characterization of the TFIIH translocase XPB from \(Chaetomium\) \(thermophilum\)
(2024)
DNA repair and gene expression are two major cellular processes that are fundamental for the maintenance of biological life. Both processes require the enzymatic activity of the super family 2 helicase XBP, which is an integral subunit of the general transcription factor TFIIH. During transcription initiation, XPB catalyzes the initial melting of promoter DNA enabling RNA polymerase II to engage with the coding DNA strand and start gene transcription. In nucleotide excision repair, XPB acts in concert with the other TFIIH helicase XPD causing strand separation around a lesion site. Mutations within the genes encoding XPB or other TFIIH subunits are associated with different cancer types as well as with the autosomal recessive disorders Xeroderma Pigmentosum and trichothiodystrophy and rarely combined features of Xeroderma Pigmentosum and Cockayne syndrome.
In the last few years, great progress has been made towards unraveling the structure of TFIIH and its individual subunits including XPB. These structural insights tremendously improved our understandings with respect to the molecular interactions within this intriguing protein complex. However, the underlying regulation mechanisms that functionally control XPB during transcription and repair remained largely elusive. We thus executed the biochemical characterization of this protein to investigate the functional network that regulates XPB within the scaffold of TFIIH. Due to their enhanced stability compared to the human proteins, we utilized the proteins that originate from the thermophilic fungus Chaetomium thermophilum for this purpose as a model organism for eukaryotic TFIIH.
The present work provides novel insights into the enzymatic function and regulation of XPB. We could show that both, DNA and the TFIIH subunit p52 stimulate XPB’s ATPase activity and that the p52-mediated activity is further boosted by p8, another subunit within TFIIH. Surprisingly, DNA can activate XPB’s ATPase activity to a greater extent than its TFIIH interaction partners p52/p8, but when both, i.e. p52/p8 and DNA are present at the same time, p52 dominates the activation and the enzymatic speed is maintained at the level observed through the sole activation of p52/p8. We thus defined p52 as the master regulator of XPB that simultaneously activates and represses XPB’s enzymatic activity. Based on a correlative mutagenesis study of the main interface between p52 and XPB that was set into context with recent structural data, a model for the p52-mediated activation and speed limitation of XPB’s ATPase was proposed. The research on XPB’s ATPase was expanded with the investigation of the inhibition mechanism of XPB’s ATPase via the natural compound Triptolide. Furthermore, we investigated XPB’s DNA translocase function and could observe that XPB can only perform its translocase movement when it is fully incorporated into core TFIIH and this translocase movement is further enhanced by the nucleotide excision repair factor XPA. Fluorescence polarization measurements with nucleotide analogues revealed that XPB displays the highest affinity towards DNA in the ADP + Pi bound state and its binding is weakened when ADP is bound or the nucleotide is dissociated from the enzyme, suggesting a movement on the DNA during the distinct states of the ATPase cycle. Finally, the well-known and highly conserved RED motif was found to be the crucial element in XPB to enable this translocase movement. Combined, the data presented in this work provide novel insights into the intricate regulation network that controls XPB’s enzymatic activity within TFIIH and furthermore show that XPB’s enzymatic activity is tightly controlled by various factors.
This thesis is dedicated to construct a non-abelian holographic dynamical minimal composite Higgs model. We first build a non-abelian bottom-up AdS/YM model that can explain the QCD meson spectrum well. The model is made non-abelian by considering non-abelian DBI action in the top-down model. We then change the dual theory from the QCD to the minimal composite Higgs model U (4)/Sp(4). By adding a second explicit U (4) → Sp(4) breaking through the NJL interaction at the boundary, we managed to construct a composite Higgs phase and a technicolor phase in this model. The transition between the two phases is also realized, which is controlled by the NJL coupling. This thesis is based on the works [1, 2].
The present thesis is concerned with the automated computation of integrated and differential
cross sections of diboson production in proton–proton and electron–positron collisions at very
high energies, including a resummation of electroweak Sudakov logarithms to all orders in the
fine-structure constant using soft–collinear effective theory.
The search for new physics at future colliders such as the FCC–hh or the CLIC requires
precise predictions for scattering cross sections from the theoretical high-energy physics com-
munity. Electroweak Sudakov logarithms, which currently limit the accuracy of predictions in
the high-energy tails of differential distributions for LHC-like energies, are known to destroy the
convergence behaviour of the fixed-order perturbative series, once sufficiently high energies are
considered.
To resum these large corrections, soft–collinear effective theory has been applied to simple
processes, which permits analytic calculations. Within this work, we present an automated
computation within a Monte Carlo integration framework, thus facilitating the computation of
fully differential cross section to complicated processes. This requires the use of the Catani–
Seymour subtraction algorithm to treat the occurring infrared divergences. The machinery is
applied to all diboson processes with intermediate weak gauge bosons, including the photon-
induced W+ W− -production channel.
To this end we carefully study the validity of the necessary assumptions such as the double-
pole approximation and estimate the order of magnitude of neglected effects. Especially the
non-doubly-resonant contributions turn out to be sizeable in several interesting phase-space
regions.
For lepton collisions at 3 TeV we obtain the integrated cross sections of W-pair and Z-pair
production to be shifted by more than 20% with respect to the Born value, owing to the resum-
mation of the leading-logarithmic corrections These effects are partly cancelled by subleading
effects. For proton–proton collisions at √
s = 100 TeV we observe sizeable resummation effects
in the high-energy tails, while the integrated cross sections are dominated by interactions, for
which soft–collinear effective theory is not applicable.
Attention deficit hyperactivity disorder (ADHD) is one of the most prevalent developmental disorders, affecting 5.9% children and adolescents and 2.5% adults worldwide. The core characteristics are age-inappropriate levels of hyperactivity, impulsivity and inattention, often accompanied by co-morbidities such as mood and conduct disorders as wells as learning deficits. In the majority of cases, ADHD is caused by an interplay of accumulated genetic and environmental risk factors. Twin studies report a very high heritability of 70–80%, however, common genetic variants in the population only explain a third of the heritability. The rest of the genetic predisposition is composed of rare copy number variations (CNVs) and gene x environment interactions including epigenetic alterations. Through genome wide association (GWAS) and linkage studies a number of likely candidate genes were identified. A handful of them play a role in dopamine or noradrenaline neurotransmitter systems, simultaneously those systems are the main targets of common drug treatment approaches. However, for the majority of candidates the biological function in relation to ADHD is unknown. It is crucial to identify those functions in order to gain a deeper understanding of the pathomechanism and genetic networks potentially responsible for the disorder. This work focuses on the three candidate genes GFOD1, SLC2A3 and LBX1 and their role in the healthy organism as well as in case of ADHD. The neuroanatomy was regarded through expression analysis and various behavioural assays of activity were performed to link alterations on the transcript level to phenotypes associated with the neurodevelopmental disorder. Zebrafish orthologues of the human risk genes were identified and extensive temporal and spacial expression characterisation performed via RNA in situ hybridisation. Through morpholino derived knock-down and mRNA overexpression zebrafish models with subsequent behavioural analysis, both hyper- and hypoactive phenotypes were discovered. Additional expression analysis through double in situ hybridisation revealed a co-localisation during zebrafish neurodevelopment of each gfod1 and slc2a3a together with gad1b, a marker for GABAergic neurons. Interestingly, both risk genes have previously been associated with glucose homeostasis and energy metabolism, which when disrupted could lead to alterations in signal transduction and neuron survival. Likewise, Lbx1 plays a pivotal role in GABAergic versus glutamatergic neuron specification during spinal cord and hindbrain development in mice and chicken. Preliminary results of this work suggest a similar role in zebrafish. Taken together, those findings on the one hand represent a sturdy basis to con- tinue studies of the function of the genes and on the other hand open up the opportunity to investigate novel aspects of ADHD research by exploring the role of the GABAergic neurotransmitter system or the connection between energy metabolism and psychiatric disorders.
Fusobacterium nucleatum is an emerging cancer-associated bacterium belonging to the Fusobacteriota phylum, which is evolutionary distant from all model bacteria. Recent analysis generated global fusobacterial RNA maps, which enabled the discovery of 24 small noncoding RNAs (sRNAs) in F. nucleatum. Notably, the σE-dependent sRNA FoxI and FoxJ act as a posttranscriptional regulator of several cell envelope proteins. The σE-dependent sRNAs in Escherichia coli and Salmonella require the RNA chaperone Hfq for their functions. Intriguingly, F. nucleatum seems to have no homologs of the three common RNA-binding proteins (RBPs) CsrA, Hfq and ProQ. However, it remains unclear if other families of RBPs act in concert with FoxI, FoxJ and other fusobacterial sRNAs.
This work has successfully established a 14-mer capture tagged-sRNA affinity purification procedure initially using 6S RNA as a proof-of-concept. Applying this method to 19 different F. nucleatum sRNAs led to a comprehensive mapping of sRNA-binding proteins in this bacterium. This screen identified a total of 75 proteins significantly enriched across all sRNAs and prominent in ribosomal proteins, uncharacterized proteins and enzymes associated with metabolism. This work further focused on the homologs of two KH domain proteins KhpA and KhpB, which were recently recognized as global RBPs in various Gram-positive bacteria such as Streptococcus pneumoniae, Clostridioides difficile, and Enterococcus faecalis.
Comparative analyses revealed conserved domain composition and gene synteny of KhpA and KhpB across F. nucleatum, S. pneumoniae, C. difficle and E. faecalis, indicating conserved roles of these proteins in bacteria. Further protein-protein interaction assays and global RNA targets profiling demonstrated that KhpA and KhpB form dimers and act together as broad RBPs, binding to sRNAs, mRNAs and tRNAs in F. nucleatum. Further functional characterizations unveiled that KhpA/B are required for the growth of F. nucleatum under nutrient limitation conditions and impact cell morphology. Additionally, the two RBPs also influence global gene expression in F. nucleatum affecting various bacterial physiological processes, including ethanolamine utilization.
In summary, this work established a sRNA-centric approach for screening sRNA-binding proteins in F. nucleatum. Further, the assay could be applied in other non-model organisms and is feasible to screen multiple sRNA baits in parallel for sRNA-interactors. By applying this procedure to nearly all known fusobacterial sRNAs, this work generated an extensive map of sRNA-interacting proteins in F. nucleatum. Molecular and genetic studies identified that KhpA/B act as major RBPs and gene regulators in F. nucleatum, representing important first steps in elucidating key players of post-transcriptional control at the root of the bacterial phylogenetic tree.
Opioid receptors (ORs) are among the most intensively studied members of the G protein-coupled receptor (GPCR) family due to their important role in pain management and their involvement in psychological and neurological disorders. However, currently available opioid drugs exhibit both serious drawbacks, such as addiction, and life-threatening side effects, such as respiratory depression. Contrary to the classic monomeric model, indirect evidence suggests that ORs might form dimers, which could be endowed with a distinct pharmacological profile, and, thus, be exploited to develop innovative drugs. However, direct evidence for the spontaneous formation of OR dimers in living cells under physiological condition are missing. The focus of this thesis was the design, synthesis and characterization of new, highly subtype-selective OR fluorescent ligands to be used as tools for state-of-the-art microscopy methods, such as single molecule microscopy (SMM), in heterologous cells and potentially in native tissue, in order to investigate OR organization and mobility on the surface of intact, living cells, at low/physiological expression levels.
The μOR is the OR subtype which plays the most critical role in pain modulation, while mediating the effects of the most powerful analgesic drugs. Also, it is the OR subtype which is mostly responsible for the major adverse effects of the currently marketed opioid drugs. We aimed to develop a new μOR-selective fluorescent ligand with a potential irreversible binding mode. Although the approach was in principle successful, i.e. the labelled cells were visible and distinguishable; this initial attempt was not suitable for SMM due to the ligands’ poor selectivity and affinity as well as due to its high background noise. A second generation of the fluorescent ligand was designed; however the synthesis and characterization are part of another doctoral thesis.
Lately, δOR has received attention as a promising drug target, due to its distinct pharmacological profile which features low abuse liability and lack of physical dependence. In addition, δOR expression has been associated with cancer regulation in the periphery, thus further highlighting the interest of imaging tools for this receptor. In this thesis, the development and characterization of two new δOR-selective fluorescent probes with excellent optical properties, based on the well-studied ligand naltrindole (NTI) is presented. Their application in SMM studies is currently underway at the group of Prof. Dr. Davide Calebiro at the University of Birmingham.
The κOR is a subtype which has also emerged as a drug target due to its low abuse potential. Despite a growing interest in this receptor, κOR-selective fluorescent probes have been particularly scarce in literature. Herein, the design, synthesis and characterization of the first reported set of fluorescent κOR-selective probes with antagonistic properties, based on the established ligand 5’-guanidinonaltrindole (5’-GNTI) is presented. Two of these were employed for SMM experiments to investigate κOR homodimerization, localization and trafficking. Our findings do not support homodimerization of the κOR-bound probe complexes, while showing that the majority of them follow a normal Brownian diffusion on the cell surface.
The field of photopharmacology has attracted considerable attention due to applying the spatial and temporal precision of light to pharmacological systems. Photoswitchable biologically active compounds have proven useful in the field of G protein-coupled receptors (GPCRs), which are of tremendous therapeutic relevance. Generally, the pharmacology of GPCRs is complex, perhaps even more complex than originally thought. Suitable tools are required to dissect the different signalling pathways and mechanisms and to unravel how they are connected in a holistic image. This is reflected in the enormous scientific interest in CB2R, as the neuroprotective and immunomodulatory effects attributed to CB2R agonists have not yet translated into effective therapeutics. This work focused on the development of a novel photoswitchable scaffold based on the privileged structure of benzimidazole and its application in photoswitchable CB2R ligands as photopharmacological tools for studying the CB2R.
The visible-light photoswitchable ligand 10d enables the investigation of CB2R activation with regard to βarr2 bias, exhibiting a unique pharmacological profile as a “cis-on” affinity switch at receptor level and as a “trans-on” efficacy-switch in βarr2-mediated receptor internalization. The novel photoswitchable scaffold developed in this work further serves as a guide for the development of novel photoswitchable GPCR ligands based on the privileged structure of benzimidazole. To obtain a different tool compound for studying CB2R activation and signalling mechanisms, a previously reported putatively dualsteric CB2R ligand was rendered photoswitchable, by linking the orthosteric agonist to a CB2R-selective PAM via photoswitchable azobenzene. Compound 27-para exhibits a desirable “cis-on” behaviour across all investigated assays with >10-fold higher potency compared to its trans-isomer and can be used as an efficacy-switch employing specific concentrations.
Cancer is one of the leading causes of death worldwide. Toxic contaminants in human food or medicinal products, such as substances like pyrrolizidine alkaloids (PAs), have been thought to contribute to cancer incidence. PAs are found in many plant species as secondary metabolites, and they may affect humans through contaminated food sources, herbal medicines, and dietary supplements. Hundreds of compounds belonging to PAs have been identified, differing in their chemical structures, either in their necine base moiety or esterification at their necic acid moiety. PAs undergo hepatic metabolism, and after this process, they can induce hepatotoxicity, genotoxicity, and carcinogenicity. However, the mechanism of inducing genotoxicity and carcinogenicity is still unclear and warrants further investigation.
Therefore, the present study aims to investigate the mechanism of genotoxicity induced by selected PAs with different chemical structures in in vitro systems. Primarily, human hepatoma HepG2 cells were utilized, and in co-culture, metabolically active HepG2 cells were combined with non-metabolically active human cervical HeLa H2B-GFP cells.
First, the genotoxicity of the PAs europine, lycopsamine, retrorsine, riddelliine, seneciphylline, echimidine, and lasiocarpine was investigated in the cytokinesis-block micronucleus (CBMN) assay. All seven selected PAs caused the formation of micronuclei in a dose-dependent manner, with the maximal increase of micronucleus formation ranging from 1.64 to 2.0 fold. The lowest concentrations at which significant induction of micronuclei was found were 3.2 µM for lasiocarpine and riddelliine, 32 µM for retrorsine and echimidine, and 100 µM for seneciphylline, europine, and lycopsamine. These results confirmed previously published potency rankings in the micronucleus assay.
The same PAs, with the exception of seneciphylline, were also investigated in a crosslink-modified comet assay, and reduced tail formation after hydrogen peroxide treatment was found in all diester-type PAs. Meanwhile, an equimolar concentration of the monoesters europine and lycopsamine did not significantly reduce DNA migration. Thus, the crosslinking activity was related to the ester type.
Next, the role of metabolic enzymes and membrane transporters in PA-induced genotoxicity was assessed. Ketoconazole (CYP 450-3A4 inhibitor) prevented lasiocarpine-induced micronucleus formation completely, while furafylline (CYP 450-1A2 inhibitor) reduced lasiocarpine-induced micronucleus formation, but did not abolish it completely. This implies that the CYP 450 enzymes play an important role in PA-induced genotoxicity.
Carboxylesterase 2 enzyme (CES 2) is commonly known to be involved in the detoxification of xenobiotics. Loperamide (CES 2 inhibitor) yielded an increased formation of lasiocarpine-induced micronuclei, revealing a possible role of CES-mediated detoxification in the genotoxicity of lasiocarpine. Also, intracellular glutathione (GSH) plays an important role in the detoxification of xenobiotics or toxins in the cells. Cells which had been pretreated with L-buthionine sulfoximine (BSO) to reduce GSH content were significantly more sensitive for the induction of micronucleus formation by lasiocarpine revealing the importance of GSH in PA-induced genotoxicity.
Quinidine (Q) and nelfinavir (NFR) are OCT1 and OATP1B1 influx transporter inhibitors, respectively, which reduced micronucleus induction by lasiocarpine (only quinidine significantly), but not completely, pointing to a relevance of OCT1 for PA uptake in HepG2 cells. Verapamil (V) and benzbromarone (Bz) are MDR1 and MRP2 efflux transporter inhibitors, respectively, and they caused a slightly increased micronucleus induction by lasiocarpine (significant only for benzbromarone) thus, revealing the role of efflux transporters in PA-induced genotoxicity.
The mechanistic approach to PA-induced genotoxicity was further studied based on oxidative stress via the formation of reactive oxygen species (ROS) in HepG2 cells. Overproduction of ROS can cross-link cellular macromolecules such as DNA, leading to genomic damage. An equimolar concentration of 10 µM of lasiocarpine (open-diester PA), riddelliine (cyclic-diester PA), and europine (monoester) significantly induced ROS production, with the highest ROS generation observed after lasiocarpine treatment, followed by riddelliine and then europine. No significant increase in ROS production was found with lycopsamine (10 µM; monoester PA), even at a higher concentration (320 µM). The generation of ROS by these PAs was further analyzed for confirmation by using 5 mM of the thiol radical scavenger antioxidant N-acetyl cysteine (NAC) combined with lasiocarpine, riddelliine, or europine. This analysis yielded a significant decrease in ROS after combining NAC with lasiocarpine, riddelliine, and europine. In addition, lasiocarpine, riddelliine, and europine induced a loss of mitochondrial membrane potential, pointing to mitochondria as the source of ROS generation.
In vivo, hepatic sinusoidal epithelial cells (HSECs) are known to be damaged first by PAs after hepatic metabolization, but HSECs themselves do not express the required metabolic enzymes for activation of PAs. To mimic this situation, HepG2 cells were used to metabolically activate PA in a co-culture with HeLa H2B-GFP cells as non-metabolically active neighbours. Due to the green fluorescent GFP label the HeLa cells could be identified easily based in the co-culture. The PAs europine, riddelliine and lasiocarpine induced micronucleus formation in HepG2 cells, and in HeLa H2B-GFP cells co-cultured with HepG2 cells, but not in HeLa H2B-GFP cells cultured alone. Metabolic inhibition of CYP 450 enzymes with ketoconazole abrogated micronucleus formation induced by the same PAs tested in the co-culture. The efflux transporter inhibitors verapamil and benzbromarone reduced the micronucleus formation in the co-culture. Furthermore, mitotic disturbances as an additional genotoxic mechanism of action were observed in HepG2 cells and in HeLa H2B-GFP cells co-cultured with HepG2 cells, but not in HeLa H2B-GFP cells cultured alone. Overall, we were able to show that PAs were activated by HepG2 cells and the metabolites induced genomic damage in co-cultured non-metabolically active green HeLa cells.
Finally, in HepG2 cells as well as the co-culture, combinations of PAs lasiocarpine and riddelliine favoured an additive effect rather than synergism. Thus, this study therefore provides support that the assumption of dose-addition can be applied in the characterization of the genotoxicity risk of PAs present in a mixture.
p97 uses the energy of ATP hydrolysis to unfold and thereby segregate proteins. It is involved in various cellular processes such as proteasomal degradation, DNA damage repair, autophagy, and endo-lysosomal trafficking. The specificity for these processes is controlled by more than 30 regulatory cofactors.
Interactions of p97 with cofactors and target proteins are known to be highly dynamic and transient. To identify new interaction partners and to uncover novel cellular functions of p97, the interactome of endogenous p97 was determined by using in cellulo crosslinking followed by immunoprecipitation and mass spectrometry. Myoferlin (MYOF) was identified as a novel interactor of p97 and the interaction was validated in reciprocal immunoprecipitation experiments for different cell lines.
The ferlin family member MYOF is a tail-anchored membrane protein containing multiple C2 domains. MYOF is involved in various membrane repair and trafficking processes such as the endocytic recycling of cell surface receptors. The MYOF interactome was determined by mass spectrometry. Among others, the p97 cofactor PLAA, CD71 and Rab14 were identified as common interactors of p97 and MYOF. Immunoprecipitation experiments with PLAA KO cells revealed that the interaction between MYOF and p97 depends on PLAA. Immunofluorescence microscopy showed a co-localization of MYOF with Rab14 and Rab11, which are both involved in endocytic recycling pathways. Furthermore, immunofluoroscence experiments revealed that MYOF and the p97 cofactor PLAA are localized to Rab14- and Rab5-positive endosomal compartments.
Using p97 inhibitors and p97 trapping mutants, the presence of p97 at MYOF-positive and Rab14-positive structures could be demonstrated. Consistent with this finding, the endocytic recycling of transferrin was delayed upon inhibition of p97. Taken together, this work identified MYOF as a novel interactor of p97 and suggests a role for p97 in the recycling of endocytic cargo.
The Macroeconomic Dimensions of Credit: A Comprehensive Analysis of Finance, Inequality and Growth
(2024)
Schumpeter's monetary growth theory is particularly influential for the modern understanding of the macroeconomic role of banks and credit. Based on this theory, this dissertation examines the macroeconomic role of the financial system, especially credit, in (1) generating economic growth, (2) directing economic resources and (3) distributing wealth.
Chapter 3 first shows empirically that 1) there is a positive correlation between the growth of credit and economic growth, even for developed countries, 2) no empirical correlation between household saving and economic growth can be established, and 3) there are both positive, negative and insignificant effects of credit on economic growth at country-specific level. Thus, there is broad empirical support for Schumpeter's monetary hypotheses.
A particularly interesting application of Schumpeter's growth theory can be seen in China. The results of the empirical study suggest that there is generally a positive correlation between credit and economic growth in China, that is, however, not linear in terms of regions, time and size of the financial system. Furthermore, the results in Chapter 4 suggest that credit-financed industrial policy in China may have contributed to more investment and GDP growth, although there are non-linearities between individual industries and types of companies.
Finally, Chapter 5 raises the question of the role of the financial system in the distribution of wealth. While credit to households and companies, together with indicators of working and saving behavior and the age structure of the population, are the most important determinants of wealth inequality, there are also various non-linearities in the relationship between credit and wealth inequality, including in relation to the level of development of financial systems and home ownership ratios.
Binge Eating Disorder (BED) is a common, early-onset mental health condition characterised by uncontrollable episodes of overeating followed by negative emotions such as guilt and shame. An improved understanding of the neurocognitive mechanisms underlying BED is central to the development of more targeted and effective treatments. This thesis comprises a systematic review and three empirical studies contributing to this endeavour.
BED can be thought of as a disorder of cognitive-behavioural control. Indeed, self-report evidence points towards enhanced impulsivity and compulsivity in BED. However, retrospective self-reports do not capture the mechanisms underlying impulsive and compulsive lapses of control in the moment. The systematic review therefore focussed on the experimental literature on impulsivity and compulsivity in BED. The evidence was very mixed, although there was some indication of altered goal-directed control and behavioural flexibility in BED. We highlight poor reliability of experimental paradigms and the failure to properly account for weight status as potential reasons for inconsistencies between studies. Moreover, we propose that impulsivity and/or compulsivity may be selectively enhanced in negative mood states in BED and may therefore not be consistently detected in lab-based studies.
In the empirical studies, we explored the role of behavioural flexibility in BED using experimental and neuroimaging methods in concert with computational modelling. In the first empirical study, we assessed the reliability of a common measure of behavioural flexibility, the Probabilistic Reversal Learning Task (PRLT). We demonstrate that the behavioural and computational metrics of the PRLT have sufficient reliability to justify past and future applications if calculated using hierarchical modelling. This substantially improves reliability by reducing error variance. The results support the use of the PRLT in the second and third empirical studies on development and BED.
Because a majority of patients develop BED as adolescents or young adults, we speculated that it may emerge as a consequence of disrupted or deficient
maturation of behavioural flexibility. Little is known about typical development in this domain. We therefore investigated normative development of reversal learning from adolescence to adulthood in the second empirical study. Typically- developing adolescents exhibited less adaptive and more erratic and explorative behaviour than adults. This behaviour was accounted for by reduced sensitivity to positive feedback in a reinforcement learning model, and partially mediated by reduced activation reflecting uncertainty in the medial prefrontal cortex, a region known to mature substantially during adolescence.
In the third empirical study, we investigated reversal learning in BED, paying special attention to potential biases associated with learning from wins vs learning from losses. We speculated that negative urgency could make it more difficult for BED patients to learn and make decisions under pressure to avoid losses. To dissociate between effects of excess weight and BED, we collected data from obese individuals with and without BED as well as normal-weight controls. As hypothesised, there were subtle neurocognitive differences between obese participants with and without BED with regard to learning to obtain rewards and to avoid losses. Obese individuals showed relatively impaired learning to obtain rewards, while BED patients showed relatively impaired learning to avoid losses. This was reflected in differential learning signals in the brain and associated with BED symptom severity.
In sum, this thesis shows that the evidence on impulsivity and compulsivity in BED is inconsistent and offers potential explanations for this inconsistency. It highlights the need for reliability in interindividual difference research and indicates ways to improve it. Further, it charts the typical development of reversal learning from adolescence to adulthood and underscores the relevance of exploration in the context of learning and decision-making in adolescence. Finally, it demonstrates qualitative differences between BED and obesity, hinting at a pivotal role of aversive states in loss of control in BED.
Allogeneic hematopoietic cell transplantation (Allo-HCT) is the main and only treatment for many malignant and non-malignant haematological disorders. Even though the treatment has improved through the years and patient life expectancy has increased, graft versus host disease (GvHD) is still considered the main obstacle and one of the main reasons for increased mortality. Furthermore, improved patient’s survival and life expectancy brought into question the late post-HCT complications. The leading cause of late death after allo-HCT is the relapse of primary disease as well as chronic GvHD (cGvHD). However, a clear relationship was also described with pulmonary complications, endocrine dysfunction and infertility, and cataracts in post-HCT patients. In the last years big concern regarding a cumulative cardiovascular incidence in long-term survivors has been raised. Severe cardiovascular disease (CVD) is caused by atherosclerosis which is considered a chronic inflammatory disease of blood vessels. As such, it takes a long time from endothelial damage, as the onset event, and followed plaque formation to a manifestation of severe consequences, such as stroke, coronary heart disease, or peripheral arterial disease. Endothelial damage is well documented in patients post-HCT. In the context of allo-HCT, the endothelial damage is induced by the conditioning regimen with or without total body irradiation (TBI). Furthermore, endothelial cells (ECs) have been documented as a target of GvHD and increased concentration of circulating endothelial cells (CEC) coinciding with an increase in the number of circulating alloreactive T cells. According to 2021 ESC Guidelines on CVD prevention, the main atherosclerotic CVD (ASCVD) risk factors are blood apolipoprotein B (ApoB)-containing lipoproteins (of which low-density lipoprotein (LDL) is the most abundant), high blood pressure, cigarette smoking and diabetes mellitus (DM). GvHD is considered a high-risk factor for the onset of dyslipidaemia, hypertension, and DM. Overall, the risk of premature cardiovascular death is 2.7 fold increased in comparison to the general population, while the cumulative incidence of cardiovascular complications was shown to be up to 47% at ten years after reduced intensity conditioning (RIC), post-HCT. However, up to date, there are no available studies elucidating the interconnection between GvHD and atherosclerosis. The goal of this study was, therefore, to investigate the involvement of GvHD in the progression of atherosclerosis as well as to elucidate whether cytotoxic, CD8+ T cells that were shown to play a significant role in endothelial damage during the course of skin GvHD on one hand, and inducers of formation of unstable plaque on the other, are involved in this interconnection. For that purpose we established a novel minor histocompatibility anti gens (miHAg) allo-HCT Western diet (WD)-induced atherosclerosis mouse model. We were able to show that GvHD has a significant impact on atherosclerosis development in B6.Ldlr−/− recipient mice even in the absence of overt clinical disease activity. It seems that the impact is at least partly induced by CD8+ T cells, that showed significantly increased infiltration of aortic lesions in mice facing subclinical GvHD. As studies have shown in regular atherosclerotic mouse models as well as in humans, these CD8+ T cells exhibited not only increased expression of genes involved in activation, survival and differentiation to cytotoxic phenotype, but also some genes pointing out their exhaustion, that were absent in CD4+ T cell cluster. When anti-CD8β antibody was applied once per week along with WD feeding for eight weeks, the plaque formation was significantly reduced in aorta and aortic root pointing out the importance of these cells in an alloreactivity induced lesion formation. Furthermore, anti-CD8β treatment led to significantly decreased necrotic core formation followed by overall increase in plaque stability. Strikingly, bone marrow plus T cells (BMT) recipients fed WD showed significantly increased serum cholesterol levels in comparison to bone marrow (BM) (a group lacking alloreactive T cells that induce GvHD). This effect was reversed when anti-CD8β treatment was applied, suggesting, at least partly, an impact of alloreactive CD8+ T cells on cholesterol levels. Expression of genes responsible for lipid metabolism pointed out the tendency of the liver to regulate the increased cholesterol levels, however, the mechanism behind this phenotype still remains to be revealed. On the other hand, the impact of obesity, induced by chronic high-fat diet (HFD) feeding, has been shown to be an independent risk factor for gastrointestinal GvHD. Similarly, in major histocompatibility complex (MHC) disparate allo-HCT mouse model, we have noticed that even short-term WD intake leads to a significant decrease in survival of mice post-HCT. When the concentration of transplanted alloreactive T cells was reduced, the survival was improved, pointing out the involvement of these cells in the pathogenesis. Additionally, bioluminescence imaging (BLI) during initiation and effector phase of acute GvHD (aGvHD) revealed increased infiltration of alloreactive T cells in mice fed WD. Studies in an obesity model, we could confirm the involvement of specifically CD4+ T cells in WD induced impact, as the relative number of these cells was significantly increased in small intestine on day six post-HCT in mice fed WD. This increased intestinal infiltration was preceded by increase in the number of alloreactive T cells expressing intestine homing receptor (α4β7 integrin) in peripheral lymph nodes (LNs). Even though the number of T cells was not changed in the spleen of WD fed mice, the subset of CD4+ and CD8+ T cells that were highly secreting TNFα was increased as well as the expression of genes regulating pro-inflammatory cytokines such as IL-6 and interferon (IFN)γ pointing out significant WD-induced inflammation. Moreover, slight tendency towards increased intestinal permeability and load of translocated luminal bacteria, that we observed, could induce severe endotoxemia and dysregulated systemic immune response that could lead to detrimental induction of cell death. Justifying our speculations, we noted increased levels of transaminases and an increase in lactate dehydrogenase (LDH) levels (pointing out significant tissue damages). However, the exact mechanism behind this detrimental WD impact still remains to be elucidated.
The evolutionary success of higher plants is largely attributed to their tremendous developmental
plasticity, which allows them to cope with adverse conditions. However, because these adaptations
require investments of resources, they must be tightly regulated to avoid unfavourable trade-offs.
Most of the resources required are macronutrients based on carbon and nitrogen. Limitations in the
availability of these nutrients have major effects on gene expression, metabolism, and overall plant
morphology. These changes are largely mediated by the highly conserved master kinase SNF1-RELATED
PROTEIN KINASE1 (SnRK1), which represses growth and induces catabolic processes. Downstream of
SnRK1, a hub of heterodimerising group C and S1 BASIC LEUCINE ZIPPER (bZIP) transcription factors has
been identified. These bZIPs act as regulators of nutrient homeostasis and are highly expressed in
strong sink tissues, such as flowers or the meristems that initiate lateral growth of both shoots and
roots. However, their potential involvement in controlling developmental responses through their
impact on resource allocation and usage has been largely neglected so far. Therefore, the objective of
this work was to elucidate the impact of particularly S1 bZIPs on gene expression, metabolism, and
plant development.
Due to the high homology and suspected partial redundancy of S1 bZIPs, higher order loss-of-function
mutants were generated using CRISPR-Cas9. The triple mutant bzip2/11/44 showed a variety of robust
morphological changes but maintained an overall growth comparable to wildtype plants. In detail
however, seedlings exhibited a strong reduction in primary root length. In addition, floral transition
was delayed, and siliques and seeds were smaller, indicating a reduced supply of resources to the shoot
and root apices. However, lateral root density and axillary shoot branching were increased, suggesting
an increased ratio of lateral to apical growth in the mutant. The full group S1 knockout
bzip1/2/11/44/53 showed similar phenotypes, albeit far more pronounced and accompanied by
growth retardation. Metabolomic approaches revealed that these architectural changes were
accompanied by reduced sugar levels in distal sink tissues such as flowers and roots. Sugar levels were
also diminished in leaf apoplasts, indicating that long distance transport of sugars by apoplastic phloem
loading was impaired in the mutants. In contrast, an increased sugar supply to the proximal axillary
buds and elevated starch levels in the leaves were measured. In addition, free amino acid levels were
increased in bzip2/11/44 and bzip1/2/11/44/53, especially for the important transport forms
asparagine and glutamine. The increased C and N availability in the proximal tissues could be the cause
of the increased axillary branching in the mutants.
To identify bZIP target genes that might cause the observed shifts in metabolic status, RNAseq
experiments were performed. Strikingly, clade III SUGARS WILL EVENTUALLY BE EXPORTED (SWEET)
8
genes were abundant among the differentially expressed genes. As SWEETs are crucial for sugar export
to the apoplast and long-distance transport through the phloem, their reduced expression is likely to
be the cause of the observed changes in sugar allocation. Similarly, the reduced expression of
GLUTAMINE AMIDOTRANSFERASE 1_2.1 (GAT1_2.1), which exhibits glutaminase activity, could be an
explanation for the abundance of glutamine in the mutants. Additional experiments (ATAC-seq, DAPseq, PTA, q-RT-PCR) supported the direct induction of SWEETs and GAT1_2.1 by S1 bZIPs. To confirm
the involvement of these target genes in the observed S1 bZIP mutant phenotypes, loss-of-function
mutants were obtained, which showed moderately increased axillary branching. At the same time, the
induced overexpression of bZIP11 in axillary meristems had the opposite effect.
Collectively, a model is proposed for the function of S1 bZIPs in regulating sink tissue development. For
efficient long-distance sugar transport, bZIPs may be required to induce the expression of clade III
SWEETs. Thus, reduced SWEET expression in the S1 bZIP mutants would lead to a decrease in apoplastic
sugar loading and a reduced supply to distal sinks such as shoot or root apices. The reduction in longdistance transport could lead to sugar accumulation in the leaves, which would then increasingly be
transported via symplastic routes towards proximal sinks such as axillary branches and lateral roots or
sequestered as starch. The reduced GAT1_2.1 levels lead to an abundance of glutamine, a major
nitrogen transport form. The combined effect on C and N allocation results in increased nutrient
availability in proximal tissues, promoting the formation of lateral plant organs. Alongside emerging
evidence highlighting the power of bZIPs to steer nutrient allocation in other species, a novel but
evolutionary conserved role for S1 bZIPs as regulators of developmental plasticity is proposed, while
the generation of valuable data sets and novel genetic resources will help to gain a deeper
understanding of the molecular mechanisms involved
Forests are essential sources of tangible and intangible benefits, but global climate change associated with recurrent extreme drought episodes severely affects forest productivity due to extensive tree die-back. On that, it appeals to an urgency for large-scale reforestation efforts to mitigate the impact of climate change worldwide; however, there is a lack of understanding of drought-effect on sapling growth and survival mechanisms. It is also challenging to anticipate how long trees can survive and when they succumb to drought. Hence, to ensure success of reforestation programs and sustainable forest productivity, it is essential to identify drought-resistant saplings. For that, profound knowledge of hydraulic characteristics is needed. To achieve this, the study was split into two phases which seek to address (1) how the hydraulic and anatomical traits influence the sapling’s growth rate under drought stress. (2) how plant water potential regulation and physiological traits are linked to species’ water use strategies and their drought tolerance.
The dissertation is assembled of two study campaigns carried out on saplings at the Chair of Botany II, University of Würzburg, Germany. The first study involved three ecologically important temperate broadleaved tree species — saplings of 18-month (Acer pseudoplatanus, Betula pendula, and Sorbus aucuparia) — grown from seeds in contrasting conditions (inside a greenhouse and outside), with the latter being subjected to severe natural heat waves. In the second study, two additional temperate species (Fagus sylvatica and Tilia cordata) were added. The drying-out event was conducted using a randomised blocked design by monitoring plant water status in a climate-controlled chamber and a greenhouse.
In campaign I, I present the result based on analysed data of 82 plants of temperate deciduous species and address the juvenile growth rate trade-off with xylem safety-efficiency. Our results indicate biomass production varies considerably due to the contrasted growing environment. High hydraulic efficiency is necessary for increased biomass production, while safety-efficiency traits are decoupled and species-specific. Furthermore, productivity was linked considerably to xylem safety without revealing a well-defined pattern among species. Moreover, plasticity in traits differed between stressed and non-stressed plants. For example, safety-related characteristics were more static than efficiency-related traits, which had higher intra-specific variation. Moreover, we recorded anatomical and leaf traits adjustments in response to a stress condition, but consistency among species is lacking.
In campaign II, I combined different ways to estimate the degree of isohydry based on water potential regulation and connected the iso-anisohydric spectrum (i.e., hydroscape area, HSA) to hydraulic traits to elucidate actual plant performance during drought. We analysed plant water potential regulation (Ψpd and Ψmd) and stomatal conductance of 28-29 month saplings of five species. I used a linear mixed modelling approach that allowed to control individual variations to describe the water potential regulation and tested different conceptual definitions of isohydricity. The combined methods allowed us to estimate species' relative degree of isohydry. Further, we examined the traits coordination, including hydraulic safety margin, HSM; embolism resistance, P88; turgor loss, Ψtlp; stomata closure, Ps90; capacitance, C; cuticular conductance, gmin, to determine time to hydraulic failure (Thf). Thf is the cumulative effect of time to stomata closure (Tsc) and time after stomatal closure to catastrophic hydraulic failure (Tcrit).
Our results show the species' HSA matches their stomatal stringency, which confirms the relationship between stomatal response and leaf water potential decline. Species that close stomata at lower water potential notably had a larger HSA. Isohydric behaviour was mostly associated with leaf hydraulic traits and poorly to xylem safety traits. Species' degree of isohydry was also unrelated to the species' time to death during drying-out experiments. This supports the notion that isohydry behaviours are linked to water use rather than drought survival strategies. Further, consistent with our assumptions, more isohydric species had larger internal water storage and lost their leaf turgor at less negative water potentials. Counter to our expectations, neither embolism resistance nor the associated hydraulic safety margins were related to metrics of isohydry. Instead, our results indicate traits associated with plant drought response to cluster along two largely independent axes of variation (i.e., stomatal stringency and xylem safety). Furthermore, on the temporal progression of plant drought responses, stomatal closure is critical in coordinating various traits to determine species' hydraulic strategies. Desiccation avoidance strategy was linked to Tsc and coordinated traits response of Ps90, Ψtlp, and HSA, whereas desiccation tolerance was related to Tcrit and traits such as lower P88 value, high HSM, and lower gmin. Notably, the shoot capacitance (C) is crucial in Thf and exhibits dichotomous behaviour linked to both Tsc and Tcrit.
In conclusion, knowledge of growth rate trade-offs with xylem safety-efficiency combined with traits linked to species’ hydraulic strategies along the isohydry could substantially enhance our ability to identify drought-resistant saplings to ensure the success of reforestation programs and predicting sensitivity to drought for achieving sustainable forest ecosystems.
In this thesis we examine the vector boson scattering (VBS) process \(\mathrm p \mathrm p \to \mathrm e^+ \nu_\mathrm e\mu^-\bar\nu_\mu\mathrm j\mathrm j +X\) (short: \(\mathrm W^+\mathrm W^-\) scattering) at NLO accuracy in two experimental setups by performing a Monte Carlo analysis of a \(13\,\mathrm{TeV}\) LHC run. \(\mathrm W^+\mathrm W^-\) scattering shows similarities and differences compared to the scattering of other vector bosons. We present a detailed description of the types of appearing subprocesses and background processes. We give insight into our code which solves the problems we are faced within \(\mathrm W^+\mathrm W^-\) scattering. This is especially the presence of the Higgs-boson resonance in the fiducial phase-space region. Particular attention is dedicated to the permutation of resonances. The integrated signal cross section at LO \(\mathcal O(\alpha^6)\) amounts to \(2.6988(3)\,\mathrm{fb}\) and \(1.5322(2)\,\mathrm{fb}\), respectively, in the two experimental setups. The LO QCD-induced background of \(\mathcal O(\alpha_\mathrm s^2\alpha^4)\) amounts to \(6.9115(9)\,\mathrm{fb}\) and \(1.6923(3)\,\mathrm{fb}\). The EW corrections to the signal are \(-11.4\%\) and \(-6.7\%\), the QCD corrections amount to \(-5.2\%\) and \(-23.0\%\). The EW corrections to the background are \(-8.3\%\) and \(-5.3\%\), the QCD corrections amount to \(-30.3\%\) and \(-77.6\%\). Our results for the QCD corrections and the QCD-induced background include a large uncertainty from varying the renormalisation and factorisation scale, and we discuss improvements for future calculations. We show the differential cross sections with unique features of \(\mathrm W^+\mathrm W^-\) scattering compared to other VBS processes and investigate in particular the subprocess of Higgs-boson production by using a modified version of our setups.
The Role of Sphingosine 1-phosphate and S1PR1-3 in the Pathophysiology of Meningococcal Meningitis
(2024)
Neisseria meningitidis (N. meningitidis) is an obligate human pathogen which causes live-threatening sepsis and meningitis. The fatality rate after meningococcal infection is high and surviving patients often suffer from severe sequelae. To cause meningitis, N. meningitidis must overcome the endothelium of the blood-brain barrier. The bacterium achieves this through the interaction with endothelial surface receptors leading to alternations of the cellular metabolism and signaling, which lastly results in cellular uptake and barrier traversal of N. meningitidis. Sphingosine 1-phosphate (S1P) is a lipid mediator that belongs to the class of sphingolipids and regulates the integrity of the blood-brain barrier through the interaction with its cognate receptors S1P receptors 1-3 (S1PR1-3).
In this study, high performance liquid chromatography coupled with mass spectrometry (LC-MS/MS) was used to generate a time-resolved picture of the sphingolipid metabolism in a brain endothelial cell line (hCMEC/D3) upon meningococcal infection. Among various changes, S1P was elevated in the cellular compartment as well as in the supernatant of infected hCMEC/D3s. Analysis of mRNA expression in infected hCMEC/D3s with quantitative real-time polymerase chain reaction (RT-qPCR) revealed that the increase in S1P could be attributed to the enhanced expression of the S1P-generating enzyme sphingosine kinase 1 (SphK1). Antibody-based detection of SphK1 protein or phosphorylation at SphK1 residue Serine 225 in hCMEC/D3 plasma membrane fractions via Western Blot revealed that N. meningitidis also induced SphK1 phospho-activation and recruitment to the plasma membrane. Importantly, recruitment of SphK1 to the plasma membrane increases the probability of substrate encounter, thus elevating SphK activity. Enhanced SphK activity was also reflected on a functional level, as detected by a commercially available ATP depletion assay used for measuring the enzymatic activity of SphK. Infection of hCMEC/D3 cells with pilus-deficient mutants resulted in a lower SphK activation compared to the N. meningitidis wild type strain. hCMEC/D3 treatment with pilus-enriched protein fractions showed SphK activation similar to the infection with living bacteria and could be ascribed to pilus interaction with the membrane-proximal domain of cellular surface receptor CD147. Inhibition of SphK1 or SphK2 through pre-treatment with specific inhibitors or RNA interference reduced uptake of N. meningitidis into hCMEC/D3 cells, as measured with Gentamicin protection assays. Released S1P induced the phospho-activation of epidermal growth factor receptor (EGFR) via S1PR2 activation, whose expression was also increasing during infection. Furthermore, S1PR2 blockage had a preventive effect on bacterial invasion into hCMEC/D3 cells. On the contrary, activation of S1PR1+3 also reduced bacterial uptake, indicating an opposing regulatory role of S1PR1+3 and S1PR2 during N. meningitidis uptake. Moreover, SphK2 inhibition prevented inflammatory cytokine expression as well as release of interleukin-8 after N. meningitidis infection. Taken together, this study demonstrates the central role of S1P and its cognate receptors S1PR1-3 in the pathophysiology of meningococcal meningitis.
In this thesis, the Josephson effect in mercury telluride based superconducting quantum point contacts (SQPCs) is studied. Implementing such confined structures into topological superconductors has been proposed as a means to detect and braid Majorana fermions. For the successful realization of such experiments though, coherent transport across the constriction is essential. By demonstrating the Josephson effect in a confined topological system, the presented experiments lay the foundation for future quantum devices that can be used for quantum computation. In addition, the experiments also provide valuable insights into the behavior of the Josephson effect in the low-channel limit (N<20). Due to the confinement of the weak link, we can also study the Josephson effect in a topological insulator, where the edge modes interact.
In conclusion, this thesis discusses the fabrication of, and low-temperature measurements on mercury telluride quantum point contacts embedded within Josephson junctions. We find that the merging of the currently used fabrication methods for mercury telluride quantum point contacts and Josephson junctions does not yield a good enough device quality to resolve subbands of the quantum point contact as quantization effects in the transport properties. As we attribute this to the long dry etching time that is necessary for a top-contact, the fabrication process was adapted to reduce the defect density at the superconductor-semiconductor interface. Employing a technique that involves side contacting the mercury telluride quantum well and reducing the size of the mercury telluride mesa to sub-micrometer dimensions yields a quantized supercurrent across the junction. The observed supercurrent per mode is in good agreement with theoretical predictions for ballistic, one-dimensional modes that are longer than the Josephson penetration depth. Moreover, we find that oscillatory features superimpose the plateaus of the supercurrent and the conductance. The strength of these oscillatory features are sample-dependent and complicate the identification of plateaus. We suggest that the oscillatory features originate mainly from local defects and the short gate electrode. Additionally, resonances are promoted within the weak link if the transparency of the superconductor-HgTe interface differs from one.
Furthermore, the research explores the regimes of the quantum spin Hall effect and the 0.5 anomaly. Notably, a small yet finite supercurrent is detected in the QSH regime. In samples fabricated from thick mercury telluride quantum wells, the supercurrent appears to vanish when the quantum point contact is tuned into the regime of the 0.5 anomaly. For samples fabricated from thin mercury telluride quantum wells, the conductance as well as the supercurrent vanish for strong depopulation. In these samples though, the supercurrent remains detectable even for conductance values significantly below 2 e²/h.
Numerical calculation reproduce the transport behavior of the superconducting quantum point contacts.
Additionally, the topological nature of the weak link is thoroughly investigated using the supercurrent diffraction pattern and the absorption of radio frequency photons. The diffraction pattern reveals a gate independent, monotonous decay of $I_\text{sw}(B)$, which is associated with the quantum interference of Andreev bound states funneled through the quantum point contact. Interestingly, the current distribution in the weak link appears unaffected as the quantum point contact is depleted. In the RF measurements, indications of a 4π periodic supercurrent are observed as a suppression of odd Shapiro steps. The ratio of the 4π periodic current to the 2π periodic current appears to decrease for smaller supercurrents, as odd Shapiro steps are exclusively suppressed for large supercurrents. Additionally, considering the observation that the supercurrent is small when the bulk modes in the quantum point contact are fully depleted, we suggest that the re-emerging of odd Shapiro steps is a consequence of the group velocity of the edge modes being significantly suppressed when the bulk modes are absent. Consequently, the topological nature of the superconducting quantum point contact is only noticeable in the transport properties when bulk modes are transmitted through the superconducting quantum point contact.
The shown experiments are the first demonstration of mercury telluride superconducting quantum point contacts that exhibit signatures of quantization effects in the conductance as well as the supercurrent. Moreover, the experiments suggest that the regime of interacting topological edge channels is also accessible in mercury telluride superconducting quantum point contacts. This is potentially relevant for the realization of Majorana fermions and their application in the field of quantum computation.
In this work we expanded upon a study from our group where a ligand-based TNF-α mutein was developed to engage specifically TNFR2 and not TNFR1 activating Tregs and expanding them, which in an allo-HCT context conferred protection from GvHD. Fusing TNF trimers to the heavy chain of an Fc-dead and mouse irrelevant antibody, a new generation of this agonist was developed called NewSTAR2. It is believed that other members of the TNFSF can also target Tregs, therefore additional agonists against DR3 and GITR were developed under the same principles as for NewSTAR2. Phenotyping analysis of the expression of these three receptors were done to confirm their specificity for Tregs before in vitro and in vivo testings with mice or murine splenic cells. A potent expansion of Tregs was seen with NewSTAR2 and the other agonists as well as upregulation of activation markers on Tregs. Thorough analyses with NewSTAR2-treated mice showed how Tregs in several immune and non-immune organs were expanded and upregulated immunomodulatory receptors. A miniature suppressive assay and other cocultures with responder cells confirmed their enhanced suppression over unstimulated Tregs through contact dependent and independent mechanisms. Despite other myeloid cells also being increased after treatment, no undesired effects were observed under steady-state and prophylactic administration of a single dose of NewSTAR2 improved survival frequencies and lessened development of clinical symptoms. Prophylactic treatment with the other TNFRSF agonists showed similar protection yet Fc(DANA)-muTL1A was superior in in terms of less death events and lower clinical score. It was found that not all the three TNFSF members have redundant functions as development of skin lesions was observed with GITRL-based agonist Fc(DANA)-muGITRL, although its expansion of Tregs in steady-state was remarkable with no apparent adverse effects. Neither agonist had an impact on donor cell engraftment or allorective T cell response, however NewSTAR2-treatmend proved to reduce inflammation in small intestine and liver. This work is proof of concept of the effectivity of selectively engaging TNFSF to activate Tregs and expand them systemically allowing them to control strong and complex immune interactions like those governing GvHD.
Site-directed bioorthogonal conjugation techniques have substantially advanced research in numerous areas. Their exceptional value reflects in the extent of applications, that have been realized with spacial-controlled bioorthogonal reactions. Specific labeling of surfaces, proteins, and other biomolecule allows for new generations of drug delivery, tracking, and analyzing systems. With the continuous advance and refinement of available methods, this field of research will become even more relevant in the time to come. Yet, as individual as the desired purpose is, as different can be the most suitable modification strategy. In this thesis, two different bioconjugation approaches, namely CuAAC and factor XIIIa mediated ligation, are used in distinct application fields, featuring eGFP as a model protein showcasing the advantages as well as the challenges of each technique.
The introduction of a unique accessible functionality is the most critical feature of a site-specific reaction, and the first considerable hurdle to clear. While most surfaces, peptides, or small molecules might require less expenditure to modulate, equipping large biomolecules like proteins with additional traits requires careful consideration to preserve the molecule’s stability and function. Therefore, the first section of this project comprises the engineering of eGFP via rational design. Initially, wild-type eGFP was subcloned, expressed, and characterized to serve as a reference value for the designed variants. Subsequently, eGFP was mutated and expressed to display a recognition site for factor XIIIa. Additionally, a second mutant harbored a TAG-codon to enable amber codon suppression and consequently the incorporation of the alkyne bearing unnatural amino acid Plk to support a CuAAC reaction. Fluorescence spectroscopy was used to confirm that the fluorescent properties of all expressed muteins were identically equal to wild-type eGFP, which is a reliable marker for the intact barrel structure of the protein. Trypsin digestion and HPLC were deployed to confirm each protein variant's correct sequence and mass.
The second part of this work focuses on the conjugation of cargo molecules deploying the chosen approaches. Solid-phase peptide synthesis was used to create a peptide that served as a lysine donor substrate in the crosslinking mechanism of FXIIIa. Additionally, the peptide was provided with a cysteine moiety to allow for highly flexible and simple loading of desired cargo molecules via conventional thiol-Michael addition, thus establishing an adaptive labeling platform. The effective ligation was critically reviewed and confirmed by monitoring the exact mass changes by HPLC. Protocols for attaching payloads such as biotin and PEG to the linker peptide were elaborated. While the biotin construct was successfully conjugated to the model protein, the eGFP-PEG linkage was not achieved judging by SDS-PAGE analysis. Furthermore, featuring isolated peptide sequences, the properties of the FXIIIa-mediated reaction were characterized in detail. Relative substrate turnover, saturation concentrations, by-product formation, and incubation time were comprehensively analyzed through HPLC to identify optimal reaction conditions. CuAAC was successfully used to label the Plk-eGFP mutein with Azide-biotin, demonstrated by western blot imaging.
Within the last part of this study, the application of the conjugation systems was extended to different surfaces. As regular surfaces do not allow for immediate decoration, supplementary functionalization techniques like gold-thiol interaction and silanization on metal oxides were deployed. That way gold-segmented nanowires and Janus particles were loaded with enoxaparin and DNA, respectively. Nickel and cobalt nanowires were modified with silanes that served as linker molecules for subsequent small molecule attachment or PEGylation. Finally, the eGFP muteins were bound to a particle surface in a site-specific manner. Beads displaying amino groups were utilized to demonstrate the effective use of FXIIIa in surface modification. Moreover, the bead’s functional moieties were converted to azides to enable CuAAC “Click Chemistry” and direct comparison. Each modification was analyzed and confirmed through fluorescence microscopy.
The aim of the present work was to improve drug monitoring in patients with various diseases in the context of precision medicine. This was pursued through the development and validation of mass spectrometric methods for determining the drug concentrations of kinase inhibitors and their clinical application. Besides conventional approaches to determine plasma level concentrations, the focus was also on alternative sampling techniques using volumetric absorptive microsampling (VAMS).
A conventional LC-MS/MS method was developed for the determination of cabozantinib in human EDTA plasma and validated according to the guidelines of the European and United States drug authorities (EMA, FDA). The method met the required criteria for linearity, accuracy and precision, selectivity, sensitivity, and stability of the analyte. Validation was also performed for dilution integrity, matrix effect, recovery, and carry-over, with results also in accordance with the requirements. The importance of monitoring the exposure of cabozantinib was demonstrated by a clinical case report of a 34-year-old female patient with advanced adrenocortical carcinoma who also required hemodialysis due to chronic kidney failure. Expected cabozantinib plasma concentrations were simulated for this off-label use based on a population pharmacokinetic model. It was shown that the steady state trough levels were much lower than expected but could not be explained by hemodialysis. Considering the critical condition and potential drug-drug interaction with metyrapone, a substance the patient had taken among several others during the observation period, individual pharmacokinetics could consequently not be estimated without drug monitoring.
In addition, a VAMS method for simultaneous determination of ten kinase inhibitors from capillary blood was developed. This microsampling technique was mainly characterized by the collection of a defined volume of blood, which could be dried and subsequently analyzed. The guidelines for bioanalytical method validation of the EMA and FDA were also used for this evaluation. As the nature of dried blood samples differs from liquid matrices, further parameters were investigated. These include the investigation of the hematocrit effect, process efficiency, and various stability conditions, for example at increased storage temperatures. The validation showed that the developed method is suitable to analyze dried matrix samples accurate, precise, and selective for all analytes. Apart from the stability tests, all acceptance criteria were met. The decreased stability of two analytes was probably due to the reproducible but reduced recovery. In vitro studies provided results on the VAMS-to-plasma correlation to predict the analyte distribution between both matrices, at least in an exploratory manner. It revealed a heterogeneous picture of analytes with different VAMS-to-plasma distributions. Furthermore, the analysis of 24 patient samples indicated the applicability of at-home VAMS. Both should be confirmed later as part of the clinical validation.
The clinical investigation of the VAMS method pursued two objectives. On the one hand, the simultaneous collection of VAMS and serum samples should enable a conversion of the determined concentrations and, on the other hand, the feasibility of autonomous microsampling at home should be examined more closely. For the former, it could be shown that different conversion methods are suitable for converting VAMS concentrations into serum levels. The type of conversion was secondary for the prediction. However, the previously defined criteria could not be fulfilled for all five kinase inhibitors investigated. The framework conditions of the study led to increased variability, especially for analytes with short half-life. A low and varying hematocrit, caused by the underlying disease, also made prediction difficult for a specific patient collective. For the second objective, investigating the feasibility of VAMS, different aspects were considered. It could be shown that the majority of patients support home-based microsampling. The acceptance is likely to increase even further when microsampling is no longer part of a non-interventional study, but participation is accompanied by targeted monitoring and subsequent adjustment of the therapy. The fact that additional training increases understanding of the correct sampling procedure is also a source of confidence. Demonstrated stability during storage under real-life conditions underlines the practicality of this sampling technique.
Taken together, mass spectrometric methods for both plasma and VAMS could be developed and validated, and their clinical application could be successfully demonstrated. The availability of simple bioanalytical methods to determine kinase inhibitor exposure could improve access to prospective studies and thus facilitate the implementation of routine therapeutic drug monitoring.
The relationship between a farmer and their cultivated crops in agriculture is multifaceted, with pathogens affecting both the farmer and crop, and weeds that take advantage of resources provided by farmers. For my doctoral thesis, I aimed to gain a comprehensive understanding of the ecology and symbiosis of fungus farming ambrosia beetles.
Through my research, I discovered that the microbial composition of fungus gardens, particularly the mutualists, is significantly influenced by the presence of both adults and larvae. The recognition of both beneficial and harmful symbionts is crucial for the success of ambrosia beetles, who respond differently depending on their life stage and the microbial species they encounter, which can contribute to the division of labour among family groups. The presence of antagonists and pathogens in the fungus garden depends on habitat and substrate quality, and beetle response to their introduction results in behavioural and developmental changes. Individual and social immunity measures, as well as changes in bacterial and fungal communities, were detected as a result of pathogen introduction. Additionally, the ability of ambrosia beetles to establish two nutritional fungal species depends on several factors. These insects must strike a balance between their essential functions and adapt to the constantly changing ecological and social conditions, which demonstrates their adaptive flexibility. However, interpreting data from laboratory studies should be approached with caution, as the natural environment allows for more flexibility and the potential for other beneficial symbionts to become more prominent if required.
To aid in my research, I designed primers that use the ‘fungal large subunit’ (LSU) as genetic marker to identify and differentiate mutualistic and antagonistic fungi in X. saxesenii. The primers were able to distinguish closely related species of the Ophiostomataceae and other fungal symbionts. This allowed me to associate the abundance of key fungal taxa with factors such as the presence of beetles, the nest's age and condition, and the various developmental stages present. My primers are a valuable tool for understanding fungal communities, including their composition and the identification of previously unknown functional symbionts. However, some aspects should be approached with caution due to the exclusion of non-amplified taxa in the relative fungal community compositions.
A highly regulated microenvironment is essential in maintaining normal functioning of the central nervous system (CNS). The existence of a biological barrier, termed as the blood-brain barrier (BBB), at the blood to brain interface effectively allows for selective passage of substances and pathogens into the brain (Kadry, Noorani et al. 2020). The BBB chiefly serves in protecting the brain from extrinsic toxin entry and pathogen invasions. The BBB is formed mainly by brain capillary endothelial cells (BCECs) which are responsible for excluding ∼ 100% of large-molecule neurotherapeutics and more than 98% of all small-molecule drugs from entry into the brain. Minimal BBB transport of major potential CNS drugs allows for attenuated effective treatments for majority of CNS disorders (Appelt-Menzel, Oerter et al. 2020). Animals are generally used as model systems to study neurotherapeutic delivery into the brain, however due to species based disparity, experimental animal models lead to several false positive or false negative drug efficacy predictions thereby being unable to fully predict effects in humans (Ruck, Bittner et al. 2015). An example being that over the last two decades, much of the studies involving animals lead to high failure rates in drug development with ~ 97% failure in cancers and ~ 99% failure for Alzheimer´s disease (Pound 2020). Widespead failures in clinical trials associated with neurological disorders have resulted in questions on whether existing preclinical animal models are genuinely reflective of the human condition (Bhalerao, Sivandzade et al. 2020). Apart from high failure rates in humans, the costs for animal testings is extremely high. According to the Organisation for Economic Co-operation and Development (OECD), responsible for determining animal testing guidelines and methodology for government, industry, and independent laboratories the average cost of a single two-generation reproductive animal toxicity study worldwide is 318,295 € and for Europe alone is ~ 285,842 € (Van Norman 2019). Due to these reasons two separate movements exist within the scientific world, one being to improve animal research and the other to promote new approach methodologies with the European government setting 2025 - 2035 as a deadline for gradually disposing the use of animals in pharmaceutical testing (Pound 2020).
The discovery of human induced pluripotent stem cell (hiPSC) technology in 2006 (Takahashi and Yamanaka 2006, Takahashi, Tanabe et al. 2007) revolutionized the field of drug discovery in-vitro. HiPSCs can be differentiated into various tissue types that mimic disease phenotypes, thereby offering the possibility to deliver humanized in-vitro test systems. With respect to the BBB, several strategies to differentiate hiPSCs to BCECs (iBCECs) are reported over the years (Appelt-Menzel, Oerter et al. 2020). However, iBCECs are said to possess an epithelial or undifferentiated phenotype causing incongruity in BBB lineage specifications (Lippmann,
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Azarin et al. 2020). Therefore, in order to identify a reliable differentiation strategy in deriving iBCECs possessing hallmark BBB characteristics, which can be used for downstream applications, the work in this thesis compared two methods, namely the co-differentiation (CD) and the directed differentiation (DD). Briefly, CD mimics a brain like niche environment for iBCEC specification (Lippmann, Al-Ahmad et al. 2014), while DD focuses on induction of the mesoderm followed by iBCEC specification (Qian, Maguire et al. 2017). The results obtained verified that while iBCECs derived via CD, in comparison to human BCEC cell line hCMEC/D3 showed the presence of epithelial transcripts such as E-Cadherin (CDH1), and gene level downregulation of endothelial specific platelet endothelial cell adhesion molecule-1 (PECAM-1) and VE-cadherin (CDH5) but demonstrated higher barrier integrity. The CD strategy essentially presented iBCECs with a mean trans-endothelial electrical resistance (TEER) of ~ 2000 – 2500 Ω*cm2 and low permeability coefficients (PC) of < 0.50 μm/min for small molecule transport of sodium fluorescein (NaF) and characteristic BCEC tight junction (TJ) protein expression of claudin-5 and occludin. Additionally, iBCECs derived via CD did not form tubes in response to angiogenic stimuli. DD on the other hand resulted in iBCECs with similar down regulations in PECAM-1 and CDH5 gene expression. They were additionally characterized by lower barrier integrity, measured by mean TEER of only ~ 250 – 450 Ω*cm2 and high PC of > 5 μm/min in small molecule transport of NaF. Although iBCECs derived via DD formed tubes in response to angiogenic stimuli, they did not show positive protein expression of characteristic BCEC TJs such as claudin-5 and occludin. These results led to the hypothesis that maturity and lineage specification of iBCECs could be improved by incorporating in-vivo like characteristics in-vitro, such as direct co-culture with neurovascular unit (NVU) cell types via spheroid formation and by induction of shear stress and fluid flow. In comparison to standard iBCEC transwell mono-cultures, BBB spheroids showed enhanced transcript expression of PECAM-1 and reduced expression of epithelial markers such as CDH1 and claudin-6 (CLDN6). BBB spheroids showed classical BCEC-like ultrastructure that was identified by TJ particles on the protoplasmic face (P-face) and exoplasmic face (E-face) of the plasma membrane. TJ strands were organized as particles and particle-free grooves on the E-face, while on the P-face, partly beaded particles and partly continuous strands were identified. BBB spheroids also showed positive protein expression of claudin-5, VE-cadherin, PECAM-1, glucose transporter-1 (GLUT-1), P-glycoprotein (P-gp) and transferrin receptor-1 (Tfr-1). BBB spheroids demonstrated higher relative impedance percentages in comparison to spheroids without an iBCEC barrier. Barrier integrity assessments additionally corresponded with lower permeability to small molecule tracer NaF, with spheroids containing iBCECs showing higher relative fluorescence unit percentages (RFU%) of ~ 90% in apical compartments, compared to ~ 80% in spheroids without iBCECs. In summary, direct cellular contacts in the complex spheroid model resulted in enhanced maturation of iBCECs.
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A bioreactor system was used to further assess the effect of shear stress. This system enabled inclusion of fluidic flow and shear stress conditions in addition to non-invasive barrier integrity measurements (Choi, Mathew et al. 2022). iBCECs were cultured for a total of seven days post differentiation (d17) within the bioreactor and barrier integrity was non-invasively monitored. Until d17 of long-term culture, TEER values of iBCECs steadily dropped from ~ 1800 Ω*cm2 ~ 400 Ω*cm2 under static conditions and from ~ 2500 Ω*cm2 to ~ 250 Ω*cm2 under dynamic conditions. Transcriptomic analyses, morphometric analyses and protein marker expression showed enhanced maturation of iBECs under long-term culture and dynamic flow. Importantly, on d10 claudin-5 was expressed mostly in the cytoplasm with only ~ 5% iBCECs showing continuous staining at the cell borders. With increase in culture duration, iBCECs at d17 of static culture showed ~ 18% of cells having continuous cell border expression, while dynamic conditions showed upto ~ 30% of cells with continuous cell-cell border expression patterns. Similarly, ~ 33% of cells showed cell-cell border expression of occludin on d10 with increases to ~ 55% under d17 static and up to ~ 65% under d17 dynamic conditions, thereby indicating iBCEC maturation.
In conclusion, the data presented within this thesis demonstrates the maturation of iBCECs in BBB spheroids, obtained via direct cellular contacts and by the application of flow and shear stress. Both established novel models need to be further validated for pharmaceutical drug applications together with in-vitro-in-vivo correlations in order to exploit their full potential.
Ubiquitination is an important post-translational modification that maintains cellular homeostasis by regulating various biological processes. Deubiquitinases (DUBs) are enzymes that reverse the ubiquitination process by catalyzing the removal of ubiquitin from a substrate. Abnormal expression or function of DUBs is often associated with the onset and progression of various diseases, including cancer. Ubiquitin specific proteases (USPs), which constitute the largest family of DUBs in humans, have become the center of interest as potential targets in cancer therapy as many of them display increased activity or are overexpressed in a range of malignant tumors or the tumor microenvironment.
Two related members of the USP family, USP28 and USP25, share high sequence identities but play diverse biological roles. USP28 regulates cell proliferation, oncogenesis, DNA damage repair and apoptosis, whereas USP25 is involved in the anti-viral response, innate immunity and ER-associated degradation in addition to carcinogenesis. USP28 and USP25 also exhibit different oligomeric states – while USP28 is a constitutively active dimer, USP25 assumes an auto-inhibited tetrameric structure. The catalytic domains of both USP28 and USP25 comprise the canonical, globular USP-domain but contain an additional, extended insertion site called USP25/28 catalytic domain inserted domain (UCID) that mediates oligomerization of the proteins. Disruption of the USP25 tetramer leads to the formation of an activated dimeric protein. However, it is still not clear what triggers its activation.
Due to their role in maintaining and stabilizing numerous oncoproteins, USP28 and USP25 have emerged as interesting candidates for anti-cancer therapy. Recent advances in small-molecular inhibitor development have led to the discovery of relatively potent inhibitors of USP28 and USP25. This thesis focuses on the structural elucidation of USP28 and the biochemical characterization of USP28/USP25, both in complex with representatives of three out of the eight compound classes reported as USP28/USP25-specific inhibitors. The crystal structures of USP28 in complex with the AZ compounds, Vismodegib and FT206 reveal that all three inhibitor classes bind into the same allosteric pocket distant from the catalytic center, located between the palm and the thumb subdomains (the S1-site). Intriguingly, this binding pocket is identical to the UCID-tip binding interface in the USP25 tetramer, rendering the protein in a locked, inactive conformation. Formation of the binding pocket in USP28 requires a shift in the helix α5, which induces conformational changes and local distortion of the binding channel that typically accommodates the C-terminal tail of Ubiquitin, thus preventing catalysis and abrogating USP28 activity. The key residues of the USP28-inhibitor binding pocket are highly conserved in USP25. Mutagenesis studies of these residues accompanied by biochemical and biophysical assays confirm the proposed mechanism of inhibition and similar binding to USP25.
This work provides valuable insights into the inhibition mechanism of the small molecule compounds specifically for the DUBs USP28 and USP25. The USP28-inhibitor complex structures offer a framework to develop more specific and potent inhibitors.
The production of commodities such as cocoa, rubber, oil palm and cashew, is the main driver of deforestation in West Africa (WA). The practiced production systems correspond to a land managment approach referred to as agroforestry systems (AFS), which consist of managing trees and crops on the same unit of land.Because of the ubiquity of trees, AFS reported as viable solution for climate mitigation; the carbon sequestrated by the trees could be estimated with remote sensing (RS) data and methods and reported as emission reduction efforts. However, the diversity in AFS in relation to their composition, structure and spatial distribution makes it challenging for an accurate monitoring of carbon stocks using RS. Therefore, the aim of this research is to propose a RS-based approach for the estimation of carbon sequestration in AFS across the climatic regions of WA. The main objectives were to (i) provide an accurate classification map of AFS by modelling the spatial distribution of the classification error; (ii) estimate the carbon stock of AFS in the main climatic regions of WA using RS data; (iii) evaluate the dynamic of carbon stocks within AFS across WA. Three regions of interest (ROI) were defined in Cote d'Ivoire and Burkina Faso, one in each climatic region of WA namely the Guineo-Congolian, Guinean and Sudanian, and three field campaigns were carried out for data collection. The collected data consisted of reference points for image classification, biometric tree measurements (diameter, height, species) for biomass estimation. A total of 261 samples were collected in 12 AFS across WA. For the RS data, yearly composite images from Sentinel-1 and -2 (S1 and S2), ALOS-PALSAR and GEDI data were used. A supervised classification using random forest (RF) was implemented and the classification error was assessed using the Shannon entropy generated from the class probabilities. For carbon estimation, different RS data, machine learning algorithms and carbon reference sources were compared for the prediction of the aboveground biomass in AFS. The assessment of the carbon dynamic was carried between 2017 and 2021. An average carbon map was genrated and use as reference for the comparison of annual carbon estimations, using the standard deviation as threshold. As far as the results are concerned, the classification accuracy was higher than 0.9 in all the ROIs, and AFS were mainly represented by rubber (38.9%), cocoa (36.4%), palm (10.8%) in the ROI-1, mango (15.2%) and cashew (13.4%) in ROI-2, shea tree (55.7%) and African locust bean (28.1%) in ROI-3. However, evidence of misclassification was found in cocoa, mango, and shea butter. The assessment of the classification error suggested that the error level was higher in the ROI-3 and ROI-1. The error generated from the entropy was able to reduced the level of misclassification by 63% with 11% of loss of information. Moreover, the approach was able to accuretely detect encroachement in protected areas. On carbon estimation, the highest prediction accuracy (R²>0.8) was obtained for a RF model using the combination of S1 and S2 and AGB derived from field measurements. Predictions from GEDI could only be used as reference in the ROI-1 but resulted in a prediction error was higher in cashew, mango, rubber and cocoa plantations, and the carbon stock level was higher in African locust bean (43.9 t/ha), shea butter (15 t/ha), cashew (13.8 t/ha), mango (12.8 t/ha), cocoa (7.51 t/ha) and rubber (7.33 t/ha). The analysis showed that carbon stock is determined mainly by the diameter (R²=0.45) and height (R²=0.13) of trees. It was found that crop plantations had the lowest biodiversity level, and no significant relationship was found between the considered biodiversity indices and carbon stock levels. The assessment of the spatial distribution of carbon sources and sinks showed that cashew plantations are carbon emitters due to firewood collection, while cocoa plantations showed the highest potential for carbon sequestration. The study revealed that Sentinel data could be used to support a RS-based approach for modelling carbon sequestration in AFS. Entropy could be used to map crop plantations and to monitor encroachment in protected areas. Moreover, field measurements with appropriate allometric models could ensure an accurate estimation of carbon stocks in AFS. Even though AFS in the Sudanian region had the highest carbon stocks level, there is a high potential to increase the carbon level in cocoa plantations by integrating and/or maintaining forest trees.
Defensive behaviors in response to threats are key factors in maintaining mental and physical health, but their phenomenology remains poorly understood. Prior work reported an inhibition of oculomotor activity in response to avoidable threat in humans that reminded of freezing behaviors in rodents. This notion of a homology between defensive responding in rodents and humans was seconded by concomitant heart rate decrease and skin conductance increase. However, several aspects of this presumed defense state remained ambiguous. For example, it was unclear whether the observed oculomotor inhibition would 1) robustly occur during preparation for threat-avoidance irrespective of task demands, 2) reflect a threat-specific defensive state, 3) be related to an inhibition of somatomotor activity as both motion metrics have been discussed as indicators for freezing behaviors in humans, and 4) manifest in unconstrained settings.
We thus embarked on a series of experiments to unravel the robustness, threat-specificity, and validity of previously observed (oculo)motor and autonomic dynamics upon avoidable threat in humans. We provided robust evidence for reduced gaze dispersion, significantly predicting the speed of subsequent motor reactions across a wide range of stimulus contexts. Along this gaze pattern, we found reductions in body movement and showed that the temporal profiles between gaze and body activity were positively related within individuals, suggesting that both metrics reflect the same construct. A simultaneous activation of the parasympathetic (i.e., heart rate deceleration) and sympathetic (i.e., increased skin conductance and pupil dilation) nervous system was present in both defensive and appetitive contexts, suggesting that these autonomic dynamics are not only sensitive to threat but reflecting a more general action-preparatory mechanism. We further gathered evidence for two previously proposed defensive states involving a decrease of (oculo)motor activity in a naturalistic, unconstrained virtual reality environment. Specifically, we observed a state consisting of a cessation of ongoing behaviors and orienting upon relatively distal, ambiguous threat (Attentive Immobility) while an entire immobilization and presumed allocation of attention to the threat stimulus became apparent upon approaching potential threat (Immobility under Attack).
Taken together, we provided evidence for specific oculomotor and autonomic dynamics upon increasing levels of threat that may inspire future translational work in rodents and humans on shared mechanisms of threat processing, ultimately supporting the development of novel therapeutic approaches.
The relation between LV function and cardiac MRI tissue characteristics in separate myocardial segments and their change over time has yet to be explored in myocarditis. Thus, our research aimed to investigate possible associations between global and regional myocardial T1 and T2 times and peak strain in patients with suspected myocarditis.
From 2012 to 2015, 129 patients with clinically suspected myocarditis of the prospective, observational MyoRacer-Trial underwent systematic biventricular EMB at baseline and cardiac MRI at baseline and after three months as a follow-up. We divided the LV myocardium into 17 segments and estimated the segmental myocardial strain using FT. We registered T1 and T2 maps to the cine sequences and transferred the segmentations used for FT to ensure conformity of the myocardial segments. Multi-level multivariable linear mixed effects regression was applied to investigate the relation of segmental myocardial strain to relaxation times and their respective change from baseline to follow-up.
We found a significant improvement in myocardial peak strain from baseline to follow-up (p < 0.001; all p-values given for likelihood ratio tests) and significant associations between higher T1 and T2 times and lower segmental myocardial peak strain (p ranging from < 0.001 to 0.049). E.g., regression coefficient (Reg. coef.) for segmental radial peak strain in short axis view (SRPS_SAX) and T1 time: -1.9, 95% CI (-2.6;-1.2) %/100 ms, p < 0.001. A decrease in T1 and T2 times from baseline to follow-up was also significantly related to a recovery of segmental peak strains (p ranging from < 0.001 to 0.050). E.g., Reg. coef. for SRPS_SAX per ΔT1: -1.8, 95% CI (-2.5;-1.0) %/100 ms, p < 0.001. Moreover, the higher the baseline T1 time, the more substantial the functional recovery from baseline to follow-up (p ranging from 0.004 to 0.042, e.g., for SRPS_SAX: Reg. coef. 1.3, 95% CI (0.4;2.1) %/100 ms, p 0.004). We did not find an effect modification by the presence of myocarditis in the EMB (p > 0.1).
Our cross-sectional and longitudinal analyses provide evidence of dose-dependent correlations between T1 and T2 relaxation times and myocardial peak strain in patients with clinical presentation of myocarditis, regardless of the EMB result. Thus, assessing strain values and mapping relaxation times helps estimate the functional prognosis in patients with clinically suspected myocarditis.
Colorectal cancer (CRC) is the second most common tumour disease in Germany, with the sequential accumulation of certain mutations playing a decisive role in the transition from adenoma to carcinoma. In particular, deregulation of the Wnt signalling pathway and the associated deregulated expression of the MYC oncoprotein play a crucial role. Targeting MYC thus represents an important therapeutic approach in the treatment of tumours. Since direct inhibition of MYC is challenging, various approaches have been pursued to date to target MYC indirectly. The MYC 5' UTR contains an internal ribosomal entry site (IRES), which has a particular role in the initiation of MYC translation, especially in multiple myeloma. As basis for this work, it was hypothesised on the basis of previous data that translation of MYC potentially occurs via its IRES in CRC as well. Based on this, two IRES inhibitors were tested for their potential to regulate MYC expression in CRC cells. In addition, alternative, 5’ UTR-dependent translation of MYC and interacting factors were investigated. EIF3D was identified as a MYC 5' UTR binding protein which has the potential to regulate MYC expression in CRC. The results of this work suggest that there is a link between eIF3D and MYC expression/translation, rendering eIF3D a potential therapeutic target for MYC-driven CRCs.
Colon carcinomas (CRC) are statistically among the most fatal cancer types and hence one of the top reasons for premature mortality in the developed world. CRC cells are characterized by high proliferation rates caused by deregulation of gene transcription of proto-oncogenes and general chromosomal instability. On macroscopic level, CRC cells show a strongly altered nutrient and energy metabolism.
This work presents research to understand general links between the metabolism and transcription alteration. Mainly focussing on glutamine dependency, shown in colon carcinoma cells and expression pathways of the pro-proliferation protein c-MYC.
Previous studies showed that a depletion of glutamine in the cultivation medium of colon carcinoma cell lines caused a proliferation arrest and a strong decrease of overall c-MYC levels. Re-addition of glutamine quickly replenished c-MYC levels through an unknown mechanism. Several proteins altering this regulation mechanism were identified and proposed as possible starting point for further in detail studies to unveil the precise biochemical pathway controlling c-MYC translation repression and reactivation in a rapid manner.
On a transcriptional level the formation of RNA:DNA hybrids, so called R-loops, was observed under glutamine depleted conditions. The introduction and overexpression of RNaseH1, a R-loop degrading enzyme, in combination with an ectopically expressed c-MYC variant, independent of cellular regulation mechanisms by deleting the regulatory 3’-UTR of the c-MYC gene, lead to a high rate of apoptotic cells in culture. Expression of a functionally inactive variant of RNaseH1 abolished this effect. This indicates a regulatory function of R-loops formed during glutamine starvation in the presence of c-MYC protein in a cell. Degradation of R-loops and high c-MYC levels in this stress condition had no imminent effect on the cell cycle progression is CRC cells but disturbed the nucleotide metabolism. Nucleotide triphosphates were strongly reduced in comparison to starving cells without R-loop degradation and proliferating cells.
This study proposes a model of a terminal cycle of transcription termination, unregulated initiation and elongation of transcription leading to a depletion of energy resources of cells. This could finally lead to high apoptosis of the cells. Sequencing experiments to determine a coinciding of termination sites and R-loop formation sides failed so far but show a starting point for further studies in this essential survival mechanism involving R-loop formation and c-MYC downregulation.
Over the years, hydrogels have been developed and used for a huge variety of different applications ranging from drug delivery devices to medical products. In this thesis, a poly(2-methyl-2-oxazoline) (POx) / poly(2-n-propyl-2-oxazine) (POzi) bioink was modified and analyzed for the use in biofabrication and targeted drug delivery. In addition, the protein fibrinogen (Fbg) was genetically modified for an increased stability towards plasmin degradation for its use as wound sealant.
In Chapter 1, a thermogelling, printable POx/POzi-based hydrogel was modified with furan and maleimide moieties in the hydrophilic polymer backbone facilitating post-printing maturation of the constructs via Diels-Alder chemistry. The modification enabled long-term stability of the hydrogel scaffolds in aqueous solutions which is necessary for applications in biofabrication or tissue engineering. Furthermore, we incorporated RGD-peptides into the hydrogel which led to cell adhesion and elongated morphology of fibroblast cells seeded on top of the scaffolds. Additional printing experiments demonstrate that the presented POx/POzi system is a promising platform for the use as a bioink in biofabrication.
Chapter 2 highlights the versatility of the POx/POzi hydrogels by adapting the system to a use in targeted drug delivery. We used a bioinspired approach for a bioorthogonal conjugation of insulin-like growth factor I (IGF-I) to the polymer using an omega-chain-end dibenzocyclooctyne (DBCO) modification and a matrix metalloprotease-sensitive peptide linker. This approach enabled a bioresponsive release of IGF-I from hydrogels as well as spatial control over the protein distribution in 3D printed constructs which makes the system a candidate for the use in personalized medicine.
Chapter 3 gives a general overview over the necessity of wound sealants and the current generations of fibrin sealants on the market including advantages and challenges. Furthermore, it highlights trends and potential new strategies to tackle current problems and broadens the toolbox for future generations of fibrin sealants.
Chapter 4 applies the concepts of recombinant protein expression and molecular engineering to a novel generation of fibrin sealants. In a proof-of-concept study, we developed a new recombinant fibrinogen (rFbg) expression protocol and a Fbg mutant that is less susceptible to plasmin degradation. Targeted lysine of plasmin cleavage sites in Fbg were exchanged with alanine or histidine in different parts of the molecule. The protein was recombinantly produced and restricted plasmin digest was analyzed using high resolution mass spectrometry. In addition to that, we developed a novel time resolved screening protocol for the detection of new potential plasmin cleavage sites for further amino acid exchanges in the fibrin sealant.
This thesis investigates the charged moments and the symmetry-resolved
entanglement entropy in the context of the AdS3/CFT2 duality. In the
first part, I focus on the holographic U(1) Chern-Simons-Einstein gravity,
a toy model of AdS3/CFT2 with U(1) Kac-Moody symmetry. I
start with the vacuum background with a single entangling interval. I
show that, apart from a partition function in the grand canonical ensemble,
the charged moments can also be interpreted as the two-point
function of vertex operators on the replica surface. For the holographic
description, I propose a duality between the bulk U(1) Wilson line and
the boundary vertex operators. I verify this duality by deriving the
effective action for the Chern-Simons fields and comparing the result
with the vertex correlator. In the twist field approach, I show that the
charged moments are given by the correlation function of the charged
twist operators and the additional background operators. To solve the
correlation functions involved, I prove the factorization of the U(1) extended
conformal block into a U(1) block and a Virasoro block. The
general expression for the U(1) block is derived by directly summing
over the current descendant states, and the result shows that it takes
an identical form as the vertex correlators. This leads to the conclusion
that the disjoint Wilson lines compute the neutral U(1) block. The final
result for the symmetry-resolved entanglement entropy shows that
it is always charge-independent in this model. In the second part, I
study charged moments in higher spin holography, where the boundary
theory is a CFT with W3 symmetry. I define the notion of the
higher spin charged moments by introducing a spin-3 modular charge
operator. Restricting to the vacuum background with a single entangling
interval, I employ the grand canonical ensemble interpretation
and calculate the charged moments via the known higher spin black
hole solution. On the CFT side, I perform a perturbative expansion for
the higher spin charged moments in terms of the connected correlation
functions of the spin-3 modular charge operators. Using the recursion
relation for the correlation functions of the W3 currents, I evaluate the
charged moments up to the quartic order of the chemical potential. The
final expression matches with the holographic result. My results both
for U(1) Chern-Simons Einstein gravity and W3 higher spin gravity
constitute novel checks of the AdS3/CFT2 correspondence.
Interactions between host and pathogen determine the development, progression and outcomes
of disease. Medicine benefits from better descriptions of these interactions through increased
precision of prevention, diagnosis and treatment of diseases. Single-cell genomics is a
disruptive technology revolutionizing science by increasing the resolution with which we study
diseases. Cell type specific changes in abundance or gene expression are now routinely investigated
in diseases. Meanwhile, detecting cellular phenotypes across diseases can connect
scientific fields and fuel discovery. Insights acquired through systematic analysis of high resolution
data will soon be translated into clinical practice and improve decision making. Therefore,
the continued use of single-cell technologies and their application towards clinical samples will
improve molecular interpretation, patient stratification, and the prediction of outcomes.
In the past years, I was fortunate to participate in interdisciplinary research groups bridging
biology, clinical research and data science. I was able to contribute to diverse projects through
computational analysis and biological interpretation of sequencing data. Together, we were
able to discover cellular phenotypes that influence disease progression and outcomes as well
as the response to treatment. Here, I will present four studies that I have conducted in my PhD.
First, we performed a case study of relapse from cell-based immunotherapy in Multiple Myeloma.
We identified genomic deletion of the epitope as mechanism of immune escape and implicate
heterozygosity or monosomy of the genomic locus at baseline as a potential risk factor. Second,
we investigated the pathomechanisms of severe COVID-19 at the earliest stage of the COVID-
19 pandemic in Germany in March 2020. We discovered that profibrotic macrophages and
lung fibrosis can be caused by SARS-CoV-2 infection. Third, we used a mouse model of chronic
infection with Staphylococcus aureus that causes Osteomyelitis similar to the human disease.
We were able to identify dysregulated immunometabolism associated with the generation of
myeloid-derived suppressor cells (MDSC). Fourth, we investigated Salmonella infection of the
human small intestine in an in vitro model and describe features of pathogen invasion and host
response.
Overall, I have been able to successfully employ single-cell sequencing to discover important
aspects of diseases ranging from development to treatment and outcome. I analyzed samples
from the clinics, human donors, mouse models and organoid models to investigate different
aspects of diseases and managed to integrate data across sample types, technologies and
diseases. Based on successful studies, we increased our efforts to combine data from multiple
sources to build comprehensive references for the integration of large collections of clinical
samples. Our findings exemplify how single-cell sequencing can improve clinical research and
highlights the potential of mechanistic discoveries to drive precision medicine.
African trypanosomes are unicellular parasites that cause nagana and sleeping sickness in livestock and man, respectively. The major pathogens for the animal disease include Trypanosoma vivax, T. congolense, and T. brucei brucei, whereas T. b. gambiense and T. b. rhodesiense are responsible for human infections. Given that the bloodstream form (BSF) of African trypanosomes is exclusively extracellular, its cell surface forms a critical boundary with the host environment. The cell surface of the BSF African trypanosomes is covered by a dense coat of immunogenic variant surface glycoproteins (VSGs). This surface protein acts as an impenetrable shield that protects the cells from host immune factors and is also involved in antibody clearance and antigenic variation, which collectively ensure that the parasite stays ahead of the host immune system. Gene expression in T. brucei is markedly different from other eukaryotes: most genes are transcribed as long polycistronic units, processed by trans-splicing a 39-nucleotide mini exon at the 5′ and polyadenylation at the 3′ ends of individual genes to generate the mature mRNA.
Therefore, gene expression in T. brucei is regulated post-transcriptionally, mainly by the action of RNA binding proteins (RBPs) and conserved elements in the 3′ untranslated regions (UTR) of transcripts. The expression of VSGs is highly regulated, and only a single VSG gene is expressed at a time from one of the ~15 subtelomeric domains termed bloodstream expression sites (BES). When cells are engineered to simultaneously express two VSGs, the total VSG mRNA do not exceed the wild type amounts. This suggests that a robust VSG mRNA balancing mechanism exists in T. brucei. The present study uses inducible and constitutive expression of ectopic VSG genes to show that the endogenous VSG mRNA is regulated only if the second VSG is properly targeted to the ER. Additionally, the endogenous VSG mRNA response is triggered when high amounts of the GFP reporter with a VSG 3′UTR is targeted to the ER. Further evidence that non-VSG ER import signals can efficiently target VSGs to the ER is presented. This study suggests that a robust trans-regulation of the VSG mRNA is elicited at the ER through a feedback loop to keep the VSG transcripts in check and avoid overshooting the secretory pathway capacity.
Further, it was shown that induction of expression of the T. vivax VSG ILDat1.2 in T. brucei causes a dual cell cycle arrest, with concomitant upregulation of the protein associated with differentiation (PAD1) expression. It could be shown that T. vivax VSG ILDat1.2 can only be sufficiently expressed in T. brucei after replacing its native GPI signal peptide with that of a T. brucei VSG. Taken together, these data indicate that inefficient VSG GPI anchoring and expression of low levels of the VSG protein can trigger differentiation from slender BSF to stumpy forms. However, a second T. vivax VSG, ILDat2.1, is not expressed in T. brucei even after similar modifications to its GPI signals. An X-ray crystallography approach was utilized to solve the N-terminal domain (NTD) structure of VSG ILDat1.2. This is first structure of a non-T. brucei VSG, and the first of a surface protein of T. vivax to be solved. VSG ILDat1.2 NTD maintains the three-helical bundle scaffold conserved in T. brucei surface proteins. However, it is likely that there are variations in the architecture of the membrane proximal region of the ILDat1.2 NTD and its CTD from T. brucei VSGs. The tractable T. brucei system is presented as a model that can be used to study surface proteins of related trypanosome species, thus creating avenues for further characterization of trypanosome surface coats.
Among the defense strategies developed in microbes over millions of years, the innate adaptive CRISPR-Cas immune systems have spread across most of bacteria and archaea. The flexibility, simplicity, and specificity of CRISPR-Cas systems have laid the foundation for CRISPR-based genetic tools. Yet, the efficient administration of CRISPR-based tools demands rational designs to maximize the on-target efficiency and off-target specificity. Specifically, the selection of guide RNAs (gRNAs), which play a crucial role in the target recognition of CRISPR-Cas systems, is non-trivial. Despite the fact that the emerging machine learning techniques provide a solution to aid in gRNA design with prediction algorithms, design rules for many CRISPR-Cas systems are ill-defined, hindering their broader applications.
CRISPR interference (CRISPRi), an alternative gene silencing technique using a catalytically dead Cas protein to interfere with transcription, is a leading technique in bacteria for functional interrogation, pathway manipulation, and genome-wide screens. Although the application is promising, it also is hindered by under-investigated design rules. Therefore, in this work, I develop a state-of-art predictive machine learning model for guide silencing efficiency in bacteria leveraging the advantages of feature engineering, data integration, interpretable AI, and automated machine learning. I first systematically investigate the influential factors that attribute to the extent of depletion in multiple CRISPRi genome-wide essentiality screens in Escherichia coli and demonstrate the surprising dominant contribution of gene-specific effects, such as gene expression level. These observations allowed me to segregate the confounding gene-specific effects using a mixed-effect random forest (MERF) model to provide a better estimate of guide efficiency, together with the improvement led by integrating multiple screens. The MERF model outperformed existing tools in an independent high-throughput saturating screen. I next interpret the predictive model to extract the design rules for robust gene silencing, such as the preference for cytosine and disfavoring for guanine and thymine within and around the protospacer adjacent motif (PAM) sequence. I further incorporated the MERF model in a web-based tool that is freely accessible at www.ciao.helmholtz-hiri.de.
When comparing the MERF model with existing tools, the performance of the alternative gRNA design tool optimized for CRISPRi in eukaryotes when applied to bacteria was far from satisfying, questioning the robustness of prediction algorithms across organisms. In addition, the CRISPR-Cas systems exhibit diverse mechanisms albeit with some similarities. The captured predictive patterns from one dataset thereby are at risk of poor generalization when applied across organisms and CRISPR-Cas techniques. To fill the gap, the machine learning approach I present here for CRISPRi could serve as a blueprint for the effective development of prediction algorithms for specific organisms or CRISPR-Cas systems of interest. The explicit workflow includes three principle steps: 1) accommodating the feature set for the CRISPR-Cas system or technique; 2) optimizing a machine learning model using automated machine learning; 3) explaining the model using interpretable AI. To illustrate the applicability of the workflow and diversity of results when applied across different bacteria and CRISPR-Cas systems, I have applied this workflow to analyze three distinct CRISPR-Cas genome-wide screens. From the CRISPR base editor essentiality screen in E. coli, I have determined the PAM preference and sequence context in the editing window for efficient editing, such as A at the 2nd position of PAM, A/TT/TG downstream of PAM, and TC at the 4th to 5th position of gRNAs. From the CRISPR-Cas13a screen in E. coli, in addition to the strong correlation with the guide depletion, the target expression level is the strongest predictor in the model, supporting it as a main determinant of the activation of Cas13-induced immunity and better characterizing the CRISPR-Cas13 system. From the CRISPR-Cas12a screen in Klebsiella pneumoniae, I have extracted the design rules for robust antimicrobial activity across K. pneumoniae strains and provided a predictive algorithm for gRNA design, facilitating CRISPR-Cas12a as an alternative technique to tackle antibiotic resistance.
Overall, this thesis presents an accurate prediction algorithm for CRISPRi guide efficiency in bacteria, providing insights into the determinants of efficient silencing and guide designs. The systematic exploration has led to a robust machine learning approach for effective model development in other bacteria and CRISPR-Cas systems. Applying the approach in the analysis of independent CRISPR-Cas screens not only sheds light on the design rules but also the mechanisms of the CRISPR-Cas systems. Together, I demonstrate that applied machine learning paves the way to a deeper understanding and a broader application of CRISPR-Cas systems.
Cognition refers to the ability to of animals to acquire, process, store and use vital information from the environment. Cognitive processes are necessary to predict the future and reduce the uncertainty of the ever-changing environment. Classically, research on animal cognition focuses on decisive cognitive tests to determine the capacity of a species by the testing the ability of a few individuals. This approach views variability between these tested key individuals as unwanted noise and is thus often neglected. However, inter-individual variability provides important insights to behavioral plasticity, cognitive specialization and brain modularity. Honey bees Apis mellifera are a robust and traditional model for the study of learning, memory and cognition due to their impressive capabilities and rich behavioral repertoire. In this thesis I have applied a novel view on the learning abilities of honey bees by looking explicitly at individual differences in a variety of learning tasks. Are some individual bees consistently smarter than some of her sisters? If so, will a smart individual always perform good independent of the time, the context and the cognitive requirements or do bees show distinct isolated ‘cognitive modules’?
My thesis presents the first comprehensive investigation of consistent individual differences in the cognitive abilities of honey bees. To speak of an individual as behaving consistently, a crucial step is to test the individual multiple times to examine the repeatability of a behavior. I show that free-flying bees remain consistent in a visual discrimination task for three consecutive days. Successively, I explored individual consistency in cognitive proficiency across tasks involving different sensory modalities, contexts and cognitive requirements. I found that free-flying bees show a cognitive specialization between visual and olfactory learning but remained consistent across a simple discrimination task and a complex concept learning task. I wished to further explore individual consistency with respect to tasks of different cognitive complexity, a question that has never been tackled before in an insect. I thus performed a series of four experiments using either visual or olfactory stimuli and a different training context (free-flying and restrained) and tested bees in a discrimination task, reversal learning and negative patterning. Intriguingly, across all these experiments I evidenced the same results: The bees’ performances were consistent across the discrimination task and reversal learning and negative patterning respectively. No association was evidenced between reversal learning and negative patterning. After establishing the existence of consistent individual differences in the cognitive proficiency of honey bees I wished to determine factors which could underlie these differences. Since genetic components are known to underlie inter-individual variability in learning abilities, I studied the effects of genetics on consistency in cognitive proficiency by contrasting bees originating from either from a hive with a single patriline (low genetic diversity) or with multiple patrilines (high genetic diversity). These two groups of bees showed differences in the patterns of individually correlated performances, indicating a genetic component accounts for consistent cognitive individuality. Another major factor underlying variability in learning performances is the individual responsiveness to sucrose solution and to visual stimuli, as evidenced by many studies on restrained bees showing a positive correlation between responsiveness to task relevant stimuli and learning performances. I thus tested whether these relationships between sucrose/visual responsiveness and learning performances are applicable for free-flying bees. Free-flying bees were again subjected to reversal learning and negative patterning and subsequently tested in the laboratory for their responsiveness to sucrose and to light. There was no evidence of a positive relationship between sucrose/visual responsiveness and neither performances of free-flying bees in an elemental discrimination, reversal learning and negative patterning. These findings indicate that relationships established between responsiveness to task relevant stimuli and learning proficiency established in the laboratory with restrained bees might not hold true for a completely different behavioral context i.e. for free-flying bees in their natural environment.
These results show that the honey bee is an excellent insect model to study consistency in cognitive proficiency and to identify the underlying factors. I mainly discuss the results with respect to the question of brain modularity in insects and the adaptive significance of individuality in cognitive abilities for honey bee colonies. I also provide a proposition of research questions which tie in this theme of consistent cognitive proficiency and could provide fruitful areas for future research.
In 2020, cancer was the leading cause of death worldwide, accounting for nearly 10 million deaths. Lung cancer was the most common cancer, with 2.21 million cases per year in both sexes. This non-homogeneous disease is further subdivided into small cell lung cancer (SCLC, 15%) and non-small cell lung cancer (NSCLC, 85%). By 2023, the American Cancer Society estimates that NSCLC will account for 13% of all new cancer cases and 21% of all estimated cancer deaths. In recent years, the treatment of patients with NSCLC has improved with the development of new therapeutic interventions and the advent of targeted and personalised therapies. However, these advances have only marginally improved the five-year survival rate, which remains alarmingly low for patients with NSCLC. This observation highlights the importance of having more appropriate experimental and preclinical models to recapitulate, identify and test novel susceptibilities in NSCLC. In recent years, the Trp53fl/fl KRaslsl-G12D/wt mouse model developed by Tuveson, Jacks and Berns has been the main in vivo model used to study NSCLC. This model mimics ADC and SCC to a certain extent. However, it is limited in its ability to reflect the genetic complexity of NSCLC. In this work, we use CRISPR/Cas9 genome editing with targeted mutagenesis and gene deletions to recapitulate the conditional model. By comparing the Trp53fl/fl KRaslsl- G12D/wt with the CRISPR-mediated Trp53mut KRasG12D, we demonstrated that both showed no differences in histopathological features, morphology, and marker expression. Furthermore, next-generation sequencing revealed a very high similarity in their transcriptional profile. Adeno-associated virus-mediated tumour induction and the modular design of the viral vector allow us to introduce additional mutations in a timely manner. CRISPR-mediated mutation of commonly mutated tumour suppressors in NSCLC reliably recapitulated the phenotypes described in patients in the animal model. Lastly, the dual viral approach could induce the formation of lung tumours not only in constitutive Cas9 expressing animals, but also in wildtype animals. Thus, the implementation of CRISPR genome editing can rapidly advance the repertoire of in vivo models for NSCLC research. Furthermore, it can reduce the necessity of extensive breeding.
Physical regimes characterized by low Mach numbers and steep stratifications pose severe challenges to standard finite volume methods. We present three new methods specifically designed to navigate these challenges by being both low Mach compliant and well-balanced. These properties are crucial for numerical methods to efficiently and accurately compute solutions in the regimes considered.
First, we concentrate on the construction of an approximate Riemann solver within Godunov-type finite volume methods. A new relaxation system gives rise to a two-speed relaxation solver for the Euler equations with gravity. Derived from fundamental mathematical principles, this solver reduces the artificial dissipation in the subsonic regime and preserves hydrostatic equilibria. The solver is particularly stable as it satisfies a discrete entropy inequality, preserves positivity of density and internal energy, and suppresses checkerboard modes.
The second scheme is designed to solve the equations of ideal MHD and combines different approaches. In order to deal with low Mach numbers, it makes use of a low-dissipation version of the HLLD solver and a partially implicit time discretization to relax the CFL time step constraint. A Deviation Well-Balancing method is employed to preserve a priori known magnetohydrostatic equilibria and thereby reduces the magnitude of spatial discretization errors in strongly stratified setups.
The third scheme relies on an IMEX approach based on a splitting of the MHD equations. The slow scale part of the system is discretized by a time-explicit Godunov-type method, whereas the fast scale part is discretized implicitly by central finite differences. Numerical dissipation terms and CFL time step restriction of the method depend solely on the slow waves of the explicit part, making the method particularly suited for subsonic regimes. Deviation Well-Balancing ensures the preservation of a priori known magnetohydrostatic equilibria.
The three schemes are applied to various numerical experiments for the compressible Euler and ideal MHD equations, demonstrating their ability to accurately simulate flows in regimes with low Mach numbers and strong stratification even on coarse grids.
The WHO-designated neglected-disease pathogen Chlamydia trachomatis (CT) is a gram-negative bacterium responsible for the most frequently diagnosed sexually transmitted infection worldwide. CT infections can lead to infertility, blindness and reactive arthritis, among others. CT acts as an infectious agent by its ability to evade the immune response of its host, which includes the impairment of the NF-κB mediated inflammatory response and the Mcl1 pro-apoptotic pathway through its deubiquitylating, deneddylating and transacetylating enzyme ChlaDUB1 (Cdu1). Expression of Cdu1 is also connected to host cell Golgi apparatus fragmentation, a key process in CT infections.
Cdu1 may this be an attractive drug target for the treatment of CT infections. However, a lead molecule for the development of novel potent inhibitors has been unknown so far. Sequence alignments and phylogenetic searches allocate Cdu1 in the CE clan of cysteine proteases. The adenovirus protease (adenain) also belongs to this clan and shares a high degree of structural similarity with Cdu1. Taking advantage of topological similarities between the active sites of Cdu1 and adenain, a target-hopping approach on a focused set of adenain inhibitors, developed at Novartis, has been pursued. The thereby identified cyano-pyrimidines represent the first active-site directed covalent reversible inhibitors for Cdu1. High-resolution crystal structures of Cdu1 in complex with the covalently bound cyano-pyrimidines as well as with its substrate ubiquitin have been elucidated. The structural data of this thesis, combined with enzymatic assays and covalent docking studies, provide valuable insights into Cdu1s activity, substrate recognition, active site pocket flexibility and potential hotspots for ligand interaction. Structure-informed drug design permitted the optimization of this cyano-pyrimidine based scaffold towards HJR108, the first molecule of its kind specifically designed to disrupt the function of Cdu1. The structures of potentially more potent and selective Cdu1 inhibitors are herein proposed.
This thesis provides important insights towards our understanding of the structural basis of ubiquitin recognition by Cdu1, and the basis to design highly specific Cdu1 covalent inhibitors.
This dissertation explores the development and assessment of inhibitory control – a crucial component of executive functions – in young children. Inhibitory control, defined as the ability to suppress inappropriate responses (Verbruggen & Logan, 2008), is essential for adaptable and goal-oriented behavior. The rapid and non-linear development of this cognitive function in early childhood presents unique challenges for accurate assessment. As children age, they often exhibit a ceiling effect in terms of response accuracy (Petersen et al., 2016), underscoring the need to consider response latency as well. Ideally, combining response latency with accuracy could yield a more precise measure of inhibitory control (e.g., Magnus et al., 2019), facilitating a detailed tracking of developmental changes in inhibitory control across a wider age spectrum. The three studies of this dissertation collectively aim to clarify the relationship between response accuracy, response latency, and inhibitory control across different stages of child development. Each study utilizes a computerized Pointing Stroop Task (Berger et al., 2000) to measure inhibitory control, examining the task's validity and the integration of dual metrics for a more comprehensive evaluation.
The first study focuses on establishing the validity of using both response accuracy and latency as indicators of inhibitory control. Utilizing the framework of explanatory item-response modeling (De Boeck & Wilson, 2004), the study revealed how the task characteristics congruency and item position influence both the difficulty level and timing aspects in young children’s responses in the computerized Pointing Stroop task. Further, this study found that integrating response accuracy with latency, even in a basic manner, provides additional insights. Building upon these findings, the second study investigates the nuances of integrating response accuracy and latency, examining whether this approach can account for age-related differences in inhibitory control. It also explores whether response latencies may contain different information depending on the age and proficiency of the children. The study leverages novel and established methodological perspectives to integrate response accuracy and latency into a single metric, showing the potential applicability of different approaches for assessing inhibitory control development. The third study extends the investigation to a longitudinal perspective, exploring the dynamic relationship between response accuracy, latency, and inhibitory control over time. It assesses whether children who achieve high accuracy at an earlier age show faster improvement in response latency, suggesting a non-linear maturation pathway of inhibitory control. The study also examines if the predictive value of early response latency for later fluid intelligence is dependent on the response accuracy level.
Together, these empirical studies contribute to a more robust understanding of the complex interaction between inhibitory control, response accuracy, and response latency, facilitating valid evaluations of cognitive capabilities in children. Moreover, the findings may have practical implications for designing educational strategies and clinical interventions that address the developmental trajectory of inhibitory control. The nuanced approach advocated in this dissertation suggests prioritizing accuracy in assessment and interventions during the early stages of children's cognitive development, gradually shifting the focus to response latency as children mature and secure their inhibitory control abilities.
The focus of this thesis is on analysing a linear stochastic partial differential equation (SPDE) with a bounded domain. The first part of the thesis commences with an examination of a one-dimensional SPDE. In this context, we construct estimators for the parameters of a parabolic SPDE based on discrete observations of a solution in time and space on a bounded domain. We establish central limit theorems for a high-frequency asymptotic regime, showing substantially smaller asymptotic variances compared to existing estimation methods. Moreover, asymptotic confidence intervals are directly feasible. Our approach builds upon realized volatilities and their asymptotic illustration as the response of a log-linear model with a spatial explanatory variable. This yields efficient estimators based on realized volatilities with optimal rates of convergence and minimal variances. We demonstrate our results by Monte Carlo simulations.
Extending this framework, we analyse a second-order SPDE model in multiple space dimensions in the second part of this thesis and develop estimators for the parameters of this model based on discrete observations in time and space on a bounded domain. While parameter estimation for one and two spatial dimensions was established in recent literature, this is the first work that generalizes the theory to a general, multi-dimensional framework. Our methodology enables the construction of an oracle estimator for volatility within the underlying model. For proving central limit theorems, we use a high-frequency observation scheme. To showcase our results, we conduct a Monte Carlo simulation, highlighting the advantages of our novel approach in a multi-dimensional context.
Two-dimensional lattices are in the focus of research in modern solid state physics due to their novel and exotic electronic properties with tremendous potential for seminal future applications. Of particular interest within this research field are quantum spin Hall insulators which are characterized by an insulating bulk with symmetry-protected metallic edge states. For electrons within these one-dimensional conducting channels, spin-momentum locking enables dissipationless transport - a property which promises nothing short of a revolution for electronic devices. So far, however, quantum spin Hall materials require enormous efforts to be realized such as cryogenic temperatures or ultra-high vacuum. A potential candidate to overcome these shortcomings are two-dimensional lattices of the topological semi-metal antimony due to their potential to host the quantum spin Hall effect while offering improved resilience against oxidation.
In this work, two-dimensional lattices of antimony on different substrates, namely Ag(111), InSb(111) and SiC(0001), are investigated regarding their atomic structure and electronic properties with complimentary surface sensitive techniques. In addition, a systematic oxidation study compares the stability of Sb-SiC(0001) with that of the two-dimensional topological insulators bismuthene-SiC(0001) and indenene-SiC(0001).
A comprehensive experimental analysis of the \((\sqrt{3}\times\sqrt{3})R30^\circ\) Sb-Ag(111) surface, including X-ray standing wave measurements, disproves the proclaimed formation of a buckled antimonene lattice in literature. The surface lattice can instead be identified as a metallic Ag\(_2\)Sb surface alloy.
Antimony on InSb(111) shows an unstrained Volmer-Weber island growth due to its large lattice mismatch to the substrate. The concomitant moir\'{e} situation at the interface imprints mainly in a periodic height corrugation of the antimony islands which as observed with scanning tunneling microscopy. On islands with various thicknesses, quasiparticle interference patterns allow to trace the topological surface state of antimony down to the few-layer limit.
On SiC(0001), two different two-dimensional antimony surface reconstructions are identified. Firstly, a metallic triangular $1\times1$ lattice which constitutes the antimony analogue to the topological insulator indenene. Secondly, an insulating asymmetric kagome lattice which represents the very first realized atomic surface kagome lattice.
A comparative, systematic oxidation study of elemental (sub-)monolayer materials on SiC(0001) reveals a high sensitivity of indenene and bismuthene to small dosages of oxygen. An improved resilience is found for Sb-SiC(0001) which, however, oxidizes nevertheless if exposed to oxygen. These surface lattices are therefore not suitable for future applications without additional protective measures.
In this thesis, a variety of Fokker--Planck (FP) optimal control problems are investigated. Main emphasis is put on a first-- and second--order analysis of different optimal control problems, characterizing optimal controls, establishing regularity results for optimal controls, and providing a numerical analysis for a Galerkin--based numerical scheme.
The Fokker--Planck equation is a partial differential equation (PDE) of linear parabolic type deeply connected to the theory of stochastic processes and stochastic differential equations. In essence, it describes the evolution over time of the probability distribution of the state of an object or system of objects under the influence of both deterministic and stochastic forces.
The FP equation is a cornerstone in understanding and modeling phenomena ranging from the diffusion and motion of molecules in a fluid to the fluctuations in financial markets.
Two different types of optimal control problems are analyzed in this thesis. On the one hand, Fokker--Planck ensemble optimal control problems are considered that have a wide range of applications in controlling a system of multiple non--interacting objects. In this framework, the goal is to collectively drive each object into a desired state.
On the other hand, tracking--type control problems are investigated, commonly used in parameter identification problems or stemming from the field of inverse problems.
In this framework, the aim is to determine certain parameters or functions of the FP equation, such that the resulting probability distribution function takes a desired form, possibly observed by measurements.
In both cases, we consider FP models where the control functions are part of the drift, arising only from the deterministic forces of the system. Therefore, the FP optimal control problem has a bilinear control structure.
Box constraints on the controls may be present, and the focus is on time--space dependent controls for ensemble--type problems and on only time--dependent controls for tracking--type optimal control problems.
In the first chapter of the thesis, a proof of the connection between the FP equation and stochastic differential equations is provided. Additionally, stochastic optimal control problems, aiming to minimize an expected cost value, are introduced, and the corresponding formulation within a deterministic FP control framework is established.
For the analysis of this PDE--constrained optimal control problem, the existence, and regularity of solutions to the FP problem are investigated. New $L^\infty$--estimates for solutions are established for low space dimensions under mild assumptions on the drift. Furthermore, based on the theory of Bessel potential spaces, new smoothness properties are derived for solutions to the FP problem in the case of only time--dependent controls. Due to these properties, the control--to--state map, which associates the control functions with the corresponding solution of the FP problem, is well--defined, Fréchet differentiable and compact for suitable Lebesgue spaces or Sobolev spaces.
The existence of optimal controls is proven under various assumptions on the space of admissible controls and objective functionals. First--order optimality conditions are derived using the adjoint system. The resulting characterization of optimal controls is exploited to achieve higher regularity of optimal controls, as well as their state and co--state functions.
Since the FP optimal control problem is non--convex due to its bilinear structure, a first--order analysis should be complemented by a second--order analysis.
Therefore, a second--order analysis for the ensemble--type control problem in the case of $H^1$--controls in time and space is performed, and sufficient second--order conditions are provided. Analogous results are obtained for the tracking--type problem for only time--dependent controls.
The developed theory on the control problem and the first-- and second--order optimality conditions is applied to perform a numerical analysis for a Galerkin discretization of the FP optimal control problem. The main focus is on tracking-type problems with only time--dependent controls. The idea of the presented Galerkin scheme is to first approximate the PDE--constrained optimization problem by a system of ODE--constrained optimization problems. Then, conditions on the problem are presented such that the convergence of optimal controls from one problem to the other can be guaranteed.
For this purpose, a class of bilinear ODE--constrained optimal control problems arising from the Galerkin discretization of the FP problem is analyzed. First-- and second--order optimality conditions are established, and a numerical analysis is performed. A discretization with linear finite elements for the state and co--state problem is investigated, while the control functions are approximated by piecewise constant or piecewise quadratic continuous polynomials. The latter choice is motivated by the bilinear structure of the optimal control problem, allowing to overcome the discrepancies between a discretize--then--optimize and optimize--then--discretize approach. Moreover, second--order accuracy results are shown using the space of continuous, piecewise quadratic polynomials as the discrete space of controls. Lastly, the theoretical results and the second--order convergence rates are numerically verified.
This work presents the first ILT observations of high redshift blazars and their study in terms of jet evolution, morphology, and interaction with the surrounding medium. Each of these represents a highly topical area of astronomywith a large number of open questions. To better understand Active Galactic Nuclei (AGN) and their fundamental inner workings, new techniques are needed to exploit the full potential of the next generation of radio interferometers. Some of these tools are presented here and applied to one of the latest generation of software radio telescopes. A major focus of the studies presented is on the unification model, where the observed blazars are discussed for their properties to be rotated counterparts of Fanaroff-Riley Class II (FR-II) radio galaxies, when classified as Flat Spectrum Radio Quasars (FSRQs). In addition, multiwavelength information has been included in the analysis. Both studies are feasibility studies that will serve as a basis for future similar studies. The characteristics discussed and their interpretation do not allow conclusions to be drawn for their respective populations. However, by applying them to a larger number of targets, population studies will be possible. The first chapters introduce the necessary topics, AGN, principles of radio observations and ILT, in the necessary depth to provide the reader with a solid knowledge base. They are particularly important for understanding the current limits and influences of uncertainties in the observation, calibration and imaging process. But they also shed light on realistic future improvements. A particular focus is on the development and evolution of the LOw-Frequency ARray (LOFAR)-Very Long Baseline Interferometry (VLBI) pipeline. With the tools at hand, the first study addresses the high redshift blazar S5 0836+710 $(z=2.218)$, which has been observed at various wavelengths and resolutions. It has a disrupted one-sided jet with an associated extended region further out. Despite the excellent wavelength coverage, only the additional ILT observations provided a complete picture of the source. With the data, the extended region could be classified as a hotspot moving at slightly relativistic speeds.. With the ILT data it was also possible to extract the flux of the core region of the AGN, and in projection to reveal the mixed counter-hotspot behind it. This also allowed constraints on jet parameters and environmental properties to be modelled, which were previously inconclusive. Technically, this study shows that the ILT can be used as an effective VLBI array for compact sources with small angular scales. However, the detection of faint components beyond redshifts of $z=2$ may require the capabilities of the Square Kilometre Array (SKA) to provide a significant number of detections to enable statistical conclusions. The second study uses a much improved calibration pipeline to analyse the high redshift blazar GB1508+5714 $(z=4.30)$. The ILT data revealed a previously unseen component in the eastern direction. A spectral index map was generated from the Karl G. Jansky Very Large Array (VLA) data, showing spectral index values of $-1.2_{-0.2}^{+0.4}$ for the western component, steeper than $-1.1$ for the eastern region, and $0.023 \pm 0.007$ for the core. Using the information provided by the ILT observation, as well as multi-wavelength information from other observations ranging from the long radio wavelengths to the $\gamma$ regime, four models were developed to interpret the observed flux with different emission origins. This also allowed to test a proposed interaction channel of the electrons provided by the jet, to cool off via inverse compton scattering with the Cosmic Microwave Background (CMB) photons, rather than by the usual synchrotron emission. This is referred to as cmb quenching in the literature, which could be shown in the study, to be necessary in any case. Finally, one of the four models was considered in which the hotspots in the detected components are unresolved and mixed by the lobe emission, with the X-ray emission coming from the lobes and partially mixed by the bright core region. The results of this preferred model are consistent with hotspots in a state of equipartition and lobes almost so. The study shows that high redshift blazars can be studied with the ILT, and expanding the sample of high redshift blazars resolved at multiple frequencies will allow a statistical study of the population. Finally, this work successfully demonstrates the powerful capabilities of the ILT to address questions that were previously inaccessible. The current state of the LOFAR-VLBI pipeline, when properly executed, allows work on the most challenging objects and will only improve in the future. In particular, this gives a glimpse of the possibilities that SKA will bring to astronomy.
Helically Twisted Graphene Nanoribbons: Bottom-up Stereospecific Synthesis and Characterization
(2024)
Over the past decade, substantial progress has been made in synthesizing atomically precise carbon nanostructures, with a focus on graphene nanoribbons (NRs) through advanced synthetic techniques. Despite these advancements, precise control over the stereochemistry of twisted NRs remains challenging. This thesis introduces a strategic approach to achieve absolute control over the single-handed helical conformation in a cove-edged NR, utilizing enantiopure [n]helicenes as a molecular wrench to intricately dictate the overall conformation of the NR.
Enantiopure [7]helicenes were stitched to the terminal K-regions of a conjugated pyrene NR using a stereospecific and site-selective palladium(II)-catalyzed annulative π-extension (APEX) reaction, resulting in a helically twisted NR with an end-to-end twist of 171°, the second-largest twist reported so far in the literature for twistacenes. The helical end-to-end twist increases with each addition of benzene ring to the central acene core, suggesting that the extra strain induced by the terminal [7]helicenes maintains such a high level of twist.
The quantum chemical calculations were conducted to investigate the impact of twisting on the conformational population. At room temperature, the central backbone of the nanoribbon adopts the twisted helicity opposite to that of the attached [7]helicene, constituting around 99% of the molecular population. For instance, (P)-[7]helicenes produce a left-handed helical nanoribbon, while (M)-[7]helicenes produce a right-handed helical nanoribbon. In the presence of helicenes of opposite chirality, the nanoribbon adopts a waggling conformation. The helically twisted nanoribbons are conformationally robust, as variable temperature chiroptical measurements showed no change in CD and CPL spectra. The proposed strategy, involving the late-stage addition of [n]helicene units through the APEX reaction, appears promising for streamlining the synthesis of diverse cove edge NR variants with desired conformations.
In addition to single-handed helically twisted nanoribbons, the symmetry-based functional properties of C2 and C1 symmetric pyrene-fused single and double [n]helicene compounds were studied. Owing to its higher structural rigidity, the C1 symmetric heptagonal ring-containing molecules exhibited exceptional configurational stability along with remarkable chiroptical properties compared to their C2 symmetric as well as pristine helicene congeners.