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Institute
- Graduate School of Life Sciences (96)
- Theodor-Boveri-Institut für Biowissenschaften (33)
- Institut für Organische Chemie (13)
- Physikalisches Institut (11)
- Institut für Anorganische Chemie (10)
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- Rudolf-Virchow-Zentrum (10)
- Institut für Mathematik (9)
- Institut für Pharmazie und Lebensmittelchemie (9)
- Julius-von-Sachs-Institut für Biowissenschaften (9)
Sonstige beteiligte Institutionen
- Airbus Defence and Space GmbH (1)
- Biomedical Center Munich, Department of Physiological Chemistry, Ludwig-Maximilians-Universität München (1)
- Department of Veterinary Sciences, Experimental Parasitology, Ludwig-Maximilians-Universität München (1)
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- European Molecular Biology Laboratory, Heidelberg, Germany (1)
- Fraunhofer-Institut für Silicatforschung ISC (1)
- Institut für Organische Chemie, RWTH Aachen (1)
- Lehrkrankenhaus II. Medizinische Klinik Klinikum Coburg (1)
- Max-Delbrück-Center für molekulare Medizin, Berlin (1)
- National Park "Bavarian Forest" (1)
Fluorescence microscopy is a form of light microscopy that has developed during the 20th century and is nowadays a standard tool in Molecular and Cell biology for studying the structure and function of biological molecules. High-resolution fluorescence microscopy techniques, such as dSTORM (direct Stochastic Optical Reconstruction Microscopy) allow the visualization of cellular structures at the nanometre scale (10−9 m). This has already made it possible to decipher the composition and function of various biopolymers, such as proteins, lipids and nucleic acids, up to the three-dimensional (3D) structure of entire organelles. In practice, however, it has been shown that these imaging methods and their further developments still face great challenges in order to achieve an effective resolution below ∼ 10 nm. This is mainly due to the nature of labelling biomolecules. For the detection of molecular structures, immunostaining is often performed as a standard method. Antibodies to which fluorescent molecules are coupled, recognize and bind specifcally and with high affnity to the molecular section of the target structure, also called epitope or antigen. The fluorescent molecules serve as reporter molecules which are imaged with the use of a fluorescence microscope. However, the size of these labels with a length of about 10-15 nm in the case of immunoglobulin G (IgG) antibodies, cause a detection of the fluorescent molecules shifted to the real position of the studied antigen. In dense regions where epitopes are located close to each other, steric hindrance between antibodies can also occur and leads to an insuffcient label density. Together with the shifted detection of fluorescent molecules, these factors can limit the achievable resolution of a microscopy technique. Expansion microscopy (ExM) is a recently developed technique that achieves a resolution improvement by physical expansion of an investigated object. Therefore, biological samples such as cultured cells, tissue sections, whole organs or isolated organelles are chemically anchored into a swellable polymer. By absorbing water, this so-called superabsorber increases its own volume and pulls the covalently bound biomolecules isotropically apart. Routinely, this method achieves a magnifcation of the sample by about four times its volume. But protocol variants have already been developed that result in higher expansion factors of up to 50-fold. Since the ExM technique includes in the frst instance only the sample treatment for anchoring and magnifcation of the sample, it can be combined with various standard methods of fluorescence microscopy. In theory, the resolution of the used imaging technique improves linearly with the expansion factor of the ExM treated sample. However, an insuffcient label density and the size of the antibodies can here again impair the effective achievable resolution. The combination of ExM with high-resolution fluorescence microscopy methods represents a promising strategy to increase the resolution of light microscopy. In this thesis, I will present several ExM variants I developed which show the combination of ExM with confocal microscopy, SIM (Structured Illumination Microscopy), STED (STimulated Emission Depletion) and dSTORM. I optimized existing ExM protocols and developed different expansion strategies, which allow the combination with the respective imaging technique. Thereby, I gained new structural insights of isolated centrioles from the green algae Chlamydomonas reinhardtii by combining ExM with STED and confocal microscopy. In another project, I combined 3D-SIM imaging with ExM and investigated the molecular structure of the so-called synaptonemal complex. This structure is formed during meiosis in eukaryotic cells and contributes to the exchange of genetic material between homologous chromosomes. Especially in combination with dSTORM, the ExM method showed its high potential to overcome the limitations of modern fluorescence microscopy techniques. In this project, I expanded microtubules in mammalian cells, a polymer of the cytoskeleton as well as isolated centrioles from C. reinhardtii. By labelling after expansion of the samples, I was able to signifcantly reduce the linkage error of the label and achieve an improved label density. In future, these advantages together with the single molecule sensitivity and high resolution obtained by the dSTORM method could pave the way for achieving molecular resolution in fluorescence microscopy
The incidence of cancer cases is rising steadily, while improved early detection and new cancer-specific therapies are reducing the mortality rate. In addition to curing cancer or prolonging life, increasing the quality of life is thus an important goal of oncology, which is why the burdens of cancer and treatment are becoming more important. A common side effect of cancer and its therapy is cancer-related fatigue, a tiredness that manifests itself on physical, emotional and cognitive levels and is not in proportion to previous physical efforts. Since the etiology of fatigue has not yet been fully clarified, symptom-oriented therapy is preferable to cause-specific therapy. In addition to activity management, sleep hygiene, and cognitive behavioral therapy, mind-body interventions such as yoga are recommended for reducing fatigue.
Previous studies with small sample sizes were able to examine the efficacy of yoga regarding fatigue predominantly in patients with breast cancer. Long-term effects of yoga have rarely been studied and there have been no attempts to increase long-term effects through interventions such as reminder e-mails. This dissertation takes a closer look at these mentioned aspects of the study sample and long-term effects. An 8-week randomized controlled yoga intervention was conducted, including patients with different cancer types reporting mild to severe fatigue. Following the 8-week yoga therapy, a randomized group of participants received weekly reminder e-mails for 6 months for regular yoga practice, whereas the control group did not receive reminder e-mails.
The first paper is a protocol article, which addresses the design and planned implementation of the research project this dissertation is based upon. This serves to ensure better replicability and comparability with other yoga studies. Due to a very low consent rate of patients in the pilot phase, it was necessary to deviate from the protocol article in the actual implementation and the planned inclusion criterion of fatigue >5 was reduced to fatigue >1.
The second paper examines the efficacy of the eight-week yoga intervention. Patients in the intervention group who participated in the yoga classes seven times or more showed a significantly greater reduction in general and physical fatigue than those who participated less often. The efficacy of yoga was related to the number of attended yoga sessions. Women with breast cancer who participated in yoga reported greater reductions in fatigue than women with other cancer types. There was also an improvement for depression and quality of life after eight weeks of yoga therapy compared to no yoga therapy. These results imply that yoga is helpful in reducing depression and cancer-related fatigue, especially in terms of physical aspects and improving quality of life.
The third paper focuses on the efficacy of reminder e-mails in terms of fatigue and practice frequency. Patients who received reminder e-mails reported greater reductions in general and emotional fatigue, as well as significant increases in practice frequency, compared to patients who did not receive reminder e-mails. Compared to fatigue scores before yoga, significantly lower fatigue and depression scores and higher quality of life were reported after yoga therapy and at follow-up six months later. Weekly e-mail reminders after yoga therapy may have positive effects on general and emotional fatigue and help cancer patients with fatigue establish a regular yoga practice at home. However, higher practice frequency did not lead to higher improvement in physical fatigue as found in Paper 2. This may indicate other factors that influence the efficacy of yoga practice on physical fatigue, such as mindfulness or side effects of therapy.
This research project provides insight into the efficacy of yoga therapy for oncology patients with fatigue. It is important that such interventions be offered early, while fatigue symptoms are not too severe. Regular guided yoga practice can reduce physical fatigue, but subsequent yoga practice at home does not further reduce physical fatigue. Reminder emails after completed yoga therapy could only reduce patients' emotional fatigue. It may be that physical fatigue was reduced as much as possible by the previous yoga therapy and that there was a floor effect, or it may be that reminder emails are not suitable as an intervention to reduce physical fatigue at all. Further research is needed to examine the mechanisms of the different interventions in more detail and to find appropriate interventions that reduce all levels of fatigue equally.
During infection, bacteria need to adapt to a changing environment and have to endure various stress conditions. Small non-coding RNAs are considered as important regulators of bacterial gene expression and so allow quick adaptations by altering expression of specific target genes. Regulation of gene expression in the human-restricted pathogen Neisseria gonorrhoeae, the causative agent of the sexually transmitted disease gonorrhoea, is only poorly understood. The present study aims a better understanding of gene regulation in N. gonorrhoeae by studying small non-coding RNAs.
The discovery of antisense RNAs for all opa genes led to the hypothesis of asRNA-mediated degradation of out-of-frame opa transcripts. Analysis of asRNA expression revealed a very low abundance of the transcripts and inclusion of another phase-variable gene in the study indicates that the asRNAs are not involved in degradation of out-of-frame transcripts.
This doctoral thesis focuses on the analysis of trans-acting sRNAs. The sibling sRNAs NgncR_162 and NgncR_163 were discovered as post-transcriptional regulators altering expression of genes involved in metabolic processes, amino acid uptake and transcriptional regulation. A more detailed analysis by in silico and transcriptomic approaches showed that the sRNAs regulate a broad variety of genes coding for proteins of central metabolism, amino acid biosynthesis and degradation and several transport processes. Expression levels of the sibling sRNAs depend on the growth phase of the bacteria and on the growth medium. This indicates that NgncR_162 and NgncR_163 are involved in the adaptation of the gonococcal metabolism to specific growth conditions.
This work further initiates characterisation of the sRNA NgncR_237. An in silico analysis showed details on sequence conservation and a possible secondary structure. A combination of in silico target prediction and differential RNA sequencing resulted in the identification of several target genes involved in type IV pilus biogenesis and DNA recombination. However, it was not successful to find induction conditions for sRNA expression. Interestingly, a possible sibling sRNA could be identified that shares the target interaction sequence with NgncR_237 and could therefore target the same mRNAs.
In conclusion, this thesis provides further insights in gene regulation by non-coding RNAs in N. gonorrhoeae by analysing two pairs of sibling sRNAs modulating bacterial metabolism or possibly type IV pilus biogenesis.
Neisseria gonorrhoeae (GC) is a human specific pathogenic bacterium. Currently, N. gonorrhoeae developed resistance to virtually all the available antibiotics used for treatment. N. gonorrhoeae starts infection by colonizing the cell surface, followed by invasion of the host cell, intracellular persistence, transcytosis and exit into the subepithelial space. Subepithelial bacteria can reach the bloodstream and disseminate to other tissues causing systemic infections, which leads to serious conditions such as arthritis and pneumonia. A number of studies have well established the host-pathogen interactions during the initial adherence and invasion steps. However, the mechanism of intracellular survival and traversal is poorly understood so far. Hence, identification of novel bacterial virulence factors and host factors involved in the host-pathogen interaction is a crucial step in understanding disease development and uncovering novel therapeutic approaches. Besides, most of the previous studies about N. gonorrhoeae were performed in the conventional cell culture. Although they have provided insights into host-pathogen interactions, much information about the native infection microenvironment, such as cell polarization and barrier function, is still missing.
This work focused on determining the function of novel bacterial virulence factor NGFG_01605 and host factor (FLCN) in gonococcal infection. NGFG_01605 was identified by Tn5 transposon library screening. It is a putative U32 protease. Unlike other proteins in this family, it is not secreted and has no ex vivo protease activity. NGFG_01605 knockout decreases gonococcal survival in the epithelial cell. 3D models based on T84 cell was developed for the bacterial transmigration assay. NGFG_01605 knockout does not affect gonococcal transmigration.
The novel host factor FLCN was identified by shRNA library screening in search for factors that affected gonococcal adherence and/or internalization. We discovered that FLCN did not affect N. gonorrhoeae adherence and invasion but was essential for bacterial survival. Since programmed cell death is a host defence mechanism against intracellular pathogens, we further explored apoptosis and autophagy upon gonococcal infection and determined that FLCN did not affect apoptosis but inhibited autophagy. Moreover, we found that FLCN inhibited the expression of E-cadherin. Knockdown of E- cadherin decreased the autophagy flux and supported N. gonorrhoeae survival. Both non-polarized and polarized cells are present in the cervix, and additionally, E-cadherin represents different polarization properties on these different cells. Therefore, we established 3-D models to better understand the functions of FLCN. We discovered that FLCN was critical for N. gonorrhoeae survival in the 3-D environment as well, but not through inhibiting autophagy. Furthermore, FLCN inhibits the E-cadherin expression and disturbs its polarization in the 3-D models. Since N. gonorrhoeae can cross the epithelial cell barriers through both cell-cell junctions and transcellular migration, we further explored the roles FLCN and E-cadherin played in transmigration. FLCN delayed N. gonorrhoeae transmigration, whereas the knockdown of E-cadherin increased N. gonorrhoeae transmigration.
In summary, we revealed roles of the NGFG_01605 and FLCN-E-cadherin axis play in N. gonorrhoeae infection, particularly in relation to intracellular survival and transmigration. This is also the first study that connects FLCN and human-specific pathogen infection.
We compute genus-0 Belyi maps with prescribed monodromy and strictly verify the computed results. Among the computed examples are almost simple primitive groups that satisfy the rational rigidity criterion yielding polynomials with prescribed Galois groups over Q(t). We also give an explicit version of a theorem of Magaard, which lists all sporadic groups occurring as composition factors of monodromy groups of rational functions.
The human pathogen Aspergillus (A.) fumigatus is a fungal mold that can cause severe infections in immunocompromised hosts. Pathogen recognition and immune cell cross-talk are essential for clearing fungal infections efficiently. Immune cell interactions in particular may enhance individual cell activation and cytotoxicity towards invading pathogens.
This study analyzed the reciprocal cell activation of natural killer (NK) cells and monocyte-derived dendritic cells (moDCs) after stimulation with A. fumigatus cell wall fractions and whole-cell lysates. Furthermore, the impact of the on moDCs expressed fungal receptors Dectin-1 and TLR-2 on NK cell activation was analyzed. Stimulation of moDCs with ligands for Dectin-1 and TLR-2 and transfer of soluble factors on autologous NK cells showed that moDCs could induce NK cell activation solely by secreting factors. In summary, both cell types could induce reciprocal cell activation if the stimulated cell type recognized fungal morphologies and ligands. However, moDCs displayed a broader set of A. fumigatus receptors and, therefore, could induce NK cell activation when those were not activated by the stimulus directly.
Consequently, new fungal receptors should be identified on NK cells. The NK cell characterization marker CD56 was reduced detected in flow cytometry after fungal co-culture. Notably, this decreased detection was not associated with NK cell apoptosis, protein degradation, internalization, or secretion of CD56 molecules. CD56 was shown to tightly attach to hyphal structures, followed by its concentration at the NK-A. fumigatus interaction site. Actin polymerization was necessary for CD56 relocalization, as pre-treatment of NK cells with actin-inhibitory reagents abolished CD56 binding to the fungus. Blocking of CD56 suppressed fungal mediated NK cell activation and secretion of the immune-recruiting chemokines MIP-1α, MIP-1β, and RANTES, concluding that CD56 is functionally involved in fungal recognition by NK cells.
CD56 binding to fungal hyphae was inhibited in NK cells obtained from patients during immune-suppressing therapy after allogeneic stem cell transplantation (alloSCT). Additionally, reduced binding of CD56 correlated with decreased actin polymerization of reconstituting NK cells challenged with the fungus. The immune-suppressing therapy with corticosteroids negatively influenced the secretion of MIP-1α, MIP-1β, and RANTES in NK cells after fungal stimulation ex vivo. Similar results were obtained when NK cells from healthy donors were treated with corticosteroids prior to fungal co-culture. Thus, corticosteroids were identified to have detrimental effects on NK cell function during infection with A. fumigatus.
Adrenal Cushing’s Syndrome (CS) is a rare but life-threatening disease and therefore it is of great importance to understand the pathogenesis leading to adrenal CS. It is well accepted that Protein Kinase A (PKA) signalling mediates steroid secretion in adrenocortical cells. PKA is an inactive heterotetramer, consisting of two catalytic and two regulatory subunits. Upon cAMP binding to the regulatory subunits, the catalytic subunits are released and are able to phosphorylate their target proteins. Recently, activating somatic mutations affecting the catalytic subunit a of PKA have been identified in a sub-population of cortisol-producing adenomas (CPAs) associated with overt CS. Interestingly, the PKA regulatory subunit IIb has long been known to have significantly lower protein levels in a sub-group of CPAs compared to other adrenocortical tumours. Yet, it is unknown, why these CPAs lack the regulatory subunit IIb, neither are any functional consequences nor are the underlying regulation mechanisms leading to reduced RIIb levels known. The results obtained in this thesis show a clear connection between Ca mutations and reduced RIIb protein levels in CPAs but not in other adrenocortical tumours. Furthermore, a specific pattern of PKA subunit expression in the different zones of the normal adrenal gland is demonstrated. In addition, a Ca L206R mutation-mediated degradation of RIIb was observed in adrenocortical cells in vitro. RIIb degradation was found to be mediated by caspases and by performing mutagenesis experiments of the regulatory subunits IIb and Ia, S114 phosphorylation of RIIb was identified to make RIIb susceptible for degradation. LC-MS/MS revealed RIIb interaction partners to differ in the presence of either Ca WT and Ca L206R. These newly identified interaction partners are possibly involved in targeting RIIb to subcellular compartments or bringing it into spatial proximity of degrading enzymes. Furthermore, reducing RIIb protein levels in an in vitro system were shown to correlate with increased cortisol secretion also in the absence of PRKACA mutations. The inhibiting role of RIIb in cortisol secretion demonstrates a new function of this regulatory PKA subunit, improving the understanding of the complex regulation of PKA as key regulator in many cells.
The aim of the first part of this thesis was to investigate (R,R)-PBI as a model system for polymorphism at its origin by a supramolecular approach. The pathway complexity of (R,R)-PBI was fine-tuned by experimental parameters such as solvent, temperature and concentration to make several supramolecular polymorphs accessible. Mechanistic and quantum chemical studies on the kinetics and thermodynamics of the supramolecular polymerization of (R,R)-PBI were conducted to shed light on the initial stages of polymorphism. The second part of this work deals with mechanistic investigations on the supramolecular polymerization of the racemic mixture of (R,R)- and (S,S)-PBI with regard to homochiral and heterochiral aggregation leading to conglomerates and a racemic supramolecular polymer, respectively.
In this thesis, we investigate several topics pertaining to emergent collective quantum phenomena in the domain of correlated fermions, using the quantum Monte Carlo method. They display exotic low temperature phases as well as phase transitions which are beyond the Landau–Ginzburg theory. The interplay between three key points is crucial for us: fermion statistics, many body effects and topology. We highlight the following several achievements: 1. Successful modeling of continuum field theories with lattice Hamiltonians, 2. their sign-problem-free Monte Carlo simulations of these models, 3. and numerical results beyond mean field descriptions. First, we consider a model of Dirac fermions with a spin rotational invariant inter- action term that dynamically generates a quantum spin Hall insulator. Surprisingly, an s-wave superconducting phase emerges due to the condensation of topological de- fects of the spin Hall order parameter. When particle-hole symmetry is present, the phase transition between the topological insulator and the superconducting phase is an example of a deconfined quantum critical point(DQCP). Although its low energy effec- tive field theory is purely bosonic, the exact conservation law of the skyrmion number operator rules out the possibility of realizing this critical point in lattice boson models. This work is published in Ref. [1]. Second, we dope the dynamically generated quantum spin Hall insulator mentioned above. Hence it is described by a field theory without Lorentz invariance due to the lack of particle-hole symmetry. This sheds light on the extremely hot topic of twisted bilayergraphene: Why is superconductivity generated when the repulsive Coulomb interaction is much stronger than the electron-phonon coupling energy scale? In our case, Cooper pairs come from the topological skyrmion defects of the spin current order parameter, which are charged. Remarkably, the nature of the phase transition is highly non-mean-field-like: one is not allowed to simply view pairs of electrons as single bosons in a superfluid-Mott insulator transition, since the spin-current order parameter can not be ignored. Again, due to the aforementioned skyrmions, the two order parameters are intertwined: One phase transition occurs between the two symmetry breaking states. This work is summarized in Ref. [2]. Third, we investigate the 2 + 1 dimensional O(5) nonlinear sigma model with a topological Wess-Zumino-Witten term. Remarkably, we are able to perform Monte Carlo calculations with a UV cutoff given by the Dirac Landau level quantization. It is a successful example of simulating a continuous field theory without lattice regularization which leads to an additional symmetry breaking. The Dirac background and the five anti-commuting Dirac mass terms naturally introduce the picture of a non-trivial Berry phase contribution in the parameter space of the five component order parameter. Using the finite size scaling method given by the flux quantization, we find a stable critical phase in the low stiffness region of the sigma model. This is a candidate ground state of DQCP when the O(5) symmetry breaking terms are irrelevant at the critical point. Again, it has a bosonic low energy field theory which is seemingly unable to be realized in pure boson Hamiltonians. This work is summarized in Ref. [3].
Cellular membranes form a boundary to shield the inside of a cell from the outside. This is of special importance for bacteria, unicellular organisms whose membranes are in direct contact with the environment. The membrane needs to allow the reception of information about beneficial and harmful environmental conditions for the cell to evoke an appropriate response. Information gathering is mediated by proteins that need to be correctly organized in the membrane to be able to transmit information. Several principles of membrane organization are known that show a heterogeneous distribution of membrane lipids and proteins. One of them is functional membrane microdomains (FMM) which are platforms with a distinct lipid and protein composition. FMM move within the membrane and their integrity is important for several cellular processes like signal transduction, membrane trafficking and cellular differentiation. FMM harbor the marker proteins flotillins which are scaffolding proteins that act as chaperones in tethering protein cargo to FMM. This enhances the efficiency of cargo protein oligomerization or complex formation which in turn is important for their functionality. The bacterium Bacillus subtilis contains two flotillin proteins, FloA and FloT. They form different FMM assemblies which are structurally similar, but differ in the protein cargo and thus in the specific function.
In this work, the mobility of FloA and FloT assemblies in the membrane was dissected using live-cell fluorescence microscopy techniques coupled to genetic, biochemical and molecular biological methods. A characteristic mobility pattern was observed which revealed that the mobility of both flotillins was spatially restricted. Restrictions were bigger for FloT resulting in a decreased diffusion coefficient compared to FloA. Flotillin mobility depends on the interplay of several factors. Firstly, the intrinsic properties of flotillins determine the binding of different protein interaction partners. These proteins directly affect the mobility of flotillins. Additionally, binding of interaction partners determines the assembly size of FloA and FloT. This indirectly affects the mobility, as the endo-cytoskeleton spatially restricts flotillin mobility in a size-dependent manner. Furthermore, the extracellular cell wall plays a dual role in flotillin mobility: its synthesis stimulates flotillin mobility, while at the same time its presence restricts flotillin mobility. As the intracellular flotillins do not have spatial access to the exo-cytoskeleton, this connection is likely mediated indirectly by their cell wall-associated protein interaction partners. Together the exo- and the endo-cytoskeleton restrict the mobility of FloA and FloT.
Similar structural restrictions of flotillin mobility have been reported for plant cells as well, where the actin cytoskeleton and the cell wall restrict flotillin mobility. These similarities between eukaryotic and prokaryotic cells indicate that the restriction of flotillin mobility might be a conserved mechanism.
Investigations into the Pathogenic Antibody-Antigen-Interference of Glycine Receptor Autoantibodies
(2021)
Anti-glycine receptor (GlyR) autoantibodies belong to the novel group of autoantibodies that target neuronal cell-surface antigens (NCS), which are accompanied with various neurologic and neuropsychiatric conditions. The inhibitory ionotropic GlyR is one of the major inhibitory neurotransmitter receptors and therefore involved in maintaining homeostasis of neuronal excitation levels at brain stem and spinal cord. Anti-GlyR autoantibodies are associated with progressive encephalomyelitis with rigidity and myoclonus or stiff person syndrome. These neuromotor disorders are characterized by exaggerated startle, muscle stiffness, and painful spasms, leading to immobility and fatal outcome in some cases. It was hypothesized that imbalance of motoneuronal inhibition by functional impairment of GlyR and receptor internalization are direct consequences of antibody-antigen interference. Here, serum samples of four patients were tested for anti-GlyR autoantibodies and were used for the analysis of the functional impact on the electrophysiological properties of recombinant GlyRs, transiently expressed in HEK293 cells. Furthermore, the recognition pattern of anti- GlyR autoantibodies to human, zebrafish and chimeric GlyRα1 located the epitope to the far N-terminal region. The pathogenicity of anti-GlyR autoantibodies and thereby the autoimmunologic etiology of the disease was confirmed by passive transfer of patient serum to zebrafish (Danio rerio) larvae, that yielded an abnormal escape response – a brain stem reflex that corresponds to the exaggerated startle of afflicted patients. The phenotype was accompanied by profound reduction of GlyR clusters in spinal cord cryosections of treated zebrafish larvae. Together, these novel insights into the pathogenicity of GlyR autoantibodies confirm the concept of a novel neurologic autoimmune disease and might contribute to the development of innovative therapeutic strategies.
Flowering plants or angiosperms have developed a fertilization mechanism that involves a female egg and central cell, as well as two male sperm cells. A male gametophyte carries the two non-mobile sperm cells, as they need to be delivered to the female gametophyte, the embryo sac. This transport is initiated by a pollen grain that is transmitted onto the stigma of the angiosperm flower. Here it hydrates, germinates, and forms a pollen tube, which navigates through the female plant tissue towards the ovary. The pollen tube grows into an ovule through the funiculus and into one of the two synergid cells. There, growth arrests and the pollen tube bursts, releasing the two sperm cells. One of the sperm cells fuses with the egg cell, giving rise to the embryo, the other one fuses with the central cell, developing into the endosperm, which nourishes the embryo during its development. After a successful fertilization, each ovule develops into a seed and a fruit is formed. This usually consists of several fertilized ovules.
The directional growth of the pollen tube through the maternal tissues towards the ovule, as well as sperm cell release, requires a complex communication between the male and the female gametophyte to achieve reproductive success. Over the last years many studies have been performed, contributing to the understanding of cell-cell communication events between the two gametophytes, nevertheless still many aspects remain to be elucidated.
This work focused on two topics: i.) Analysis of biological processes affected by pollination and fertilization in the Nicotiana tabacum flower and identification of cysteine rich proteins (CRPs) expressed via isolating and sequencing RNA from the tissue and analyzing the resulting data. ii.) Identification of the defensin-like protein (DEFL) responsible for pollen tube attraction towards the ovule in tobacco.
First, tissue samples of pollen tubes and mature ovules were taken at different stages of the fertilization process (unpollinated ovules, after pollination, and after fertilization of the flower). RNA was then isolated and a transcriptome was created. The resulting reads were assembled and transcriptome data analysis was performed. Results showed that pollen tubes and mature ovules differ severely from each other, only sharing about 23 % of the transcripts, indicating that different biological processes are dominant in the two gametophytes. A MapMan analysis revealed that in the pollen tube the most relevant biological processes are related to the cell wall, signaling, and transport, which supports the fact that the pollen tube grows fast to reach the ovule. On the other hand, in the ovule the values of highest significance were obtained for processes related to protein synthesis and regulation. Upon comparing the transcripts in the ovule before and after pollination, as well as after fertilization, it showed that pollination of the flower causes a bigger alteration in the ovule on the transcriptomic level compared to the step from pollination to fertilization.
A total of 953 CRPs were identified in Nicotiana tabacum, including 116 DEFLs. Among those, the peptide responsible for pollen tube attraction towards the ovule should be found. Based on in-silico analysis four candidate peptides were chosen for further analysis, two of which had increased expression levels upon pollination and fertilization and the other two displayed an opposite expression. Quantitative real time PCR experiments were performed for the candidates, confirming the in-silico data in vivo.
The candidate transcripts were then expressed in a cell free system and applied to pollen tubes in order to test their effect on the growing cells. Positive controls were used, where pollen tubes grew towards freshly dissected ovules. The four candidates did not provoke a pollen tube attraction towards the peptide, leaving open the chance to work on the 112 remaining DEFLs in the future.
The past decades have witnessed the development of new pharmaceutical compounds that modulate receptor function by targeting allosteric sites. Allosteric sites are, by definition, domains topographically distinct from the orthosteric binding pocket where the natural ligand binds. Exploring the possibilities of linking orthosteric and allosteric pharmacophores in one compound to yield ‘bitopic’ compounds is a strategy derived from the “message-address” concept by Schwyzer , first applied to GPCRs by Portoghese et al. This concept explicitly underlines the orthosteric/allosteric combination, in opposite to the more general umbrella term bivalent. The broad possibilities of bitopic ligands in the pharmaceutical field are under continuous study. Bitopic compounds are promising pharmaceutical tools for taking advantage of the allosteric binding to achieve subtype selectivity while preserving high affinity at the receptor. The development of bitopic ligands, based on the idea of combining high affinity (via orthosteric sites) with high selectivity (via allosteric sites), have led to the development of highly selective bivalent ligands for GPCRs , such as for the opioid receptors , muscarinic acetylcholine receptors (mAChRs), serotonin receptors, cannabinoid receptors, and gonadotropin-releasing hormone receptors. This concept has even been extended to other receptors, for examples nicotinic receptors and other proteins, such as acetylcholinesterases and the tyrosine kinase receptors TrkA and TrkC. The reasons to pursue a bitopic ligand approach are various. An improved affinity for the target GPCR and/or an improved selectivity either at the level of receptor subtype, or at the level of signaling pathway. Another advantage of bitopic ligands over purely allosteric ligands is that the former rely on the appropriate presence of endogenous agonist tone to mediate their effects, whereas a bitopic ligand would engage the orthosteric site irrespective of the presence or absence of endogenous tone. By way of introduction to the hybrid approach, a review of the concept of hybrids compounds targeting the cholinergic system is presented in section A of this thesis. Recent updates in hybrid molecule design as a strategy for selectively addressing multiple target proteins involved in Alzheimer's disease (AD) is here reported . This represents the potential and the growing interest in hybrid compound as pharmacological tools to achieve receptor subtype selectivity and/or, to study the overall functional activity of the receptor. Until now, muscarinic acetylcholine receptors (mAChRs) have proved to be a particularly fruitful receptor model for the development and characterization of bitopic ligands. In this thesis, several examples of new muscarinic bitopic approach are reported in the results section. A study of bipharmacophoric ligands composed of the muscarinic positive allosteric modulators (BQCAderived compounds) linked with chain of various lengths to different orthosteric building blocks is reported in the result part 1. Synthesis and examination of the potential pharmacological characteristic of Oxotremorine-BQCAd compounds and Xanomeline-BQCAd hybrid derivatives are described in results parts 2 and 4, respectively. Moreover, the bitopic concept has even been extended to other proteins, such as acetylcholinesterase. In the result part 5 an overview of the new Tacrine-Xanomeline hybrids aiming to improve the inhibitory potency of the acetylcholinesterase and simultaneously to increase the cholinergic tone, via the xanomelinic portion acting on the M1 receptor is given. A new trivalent approach is presented for the first time to deepen the study of the M1 muscarinic receptor in the result part 6. Moreover, the synthesis of a new series of iperoxo-derived alkane, bis(ammonio)alkane-type and rigidified chain ligands is given in the result part 7 together with some prospects for further research.
Chlamydia trachomatis, an obligate intracellular human pathogen, is the world’s leading cause of infection related blindness and the most common, bacterial sexually transmitted disease. In order to establish an optimal replicative niche, the pathogen extensively interferes with the physiology of the host cell. Chlamydia switches in its complex developmental cycle between the infectious non-replicative elementary bodies (EBs) and the non-infectious replicative reticulate bodies (RBs). The transformation to RBs, shortly after entering a host cell, is a crucial process in infection to start chlamydial replication. Currently it is unknown how the transition from EBs to RBs is initiated. In this thesis, we could show that, in an axenic media approach, L glutamine uptake by the pathogen is crucial to initiate the EB to RB transition. L-glutamine is converted to amino acids which are used by the bacteria to synthesize peptidoglycan. Peptidoglycan inturn is believed to function in separating dividing Chlamydia. The glutamine metabolism is reprogrammed in infected cells in a c-Myc-dependent manner, in order to accomplish the increased requirement for L-glutamine. Upon a chlamydial infection, the proto-oncogene c-Myc gets upregulated to promote host cell glutaminolysis via glutaminase GLS1 and the L-glutamine transporter SLC1A5/ASCT2. Interference with this metabolic reprogramming leads to limited growth of C. trachomatis. Besides the active infection, Chlamydia can persist over a long period of time within the host cell whereby chronic and recurrent infections establish. C. trachomatis acquire a persistent state during an immune attack in response to elevated interferon-γ (IFN-γ) levels. It has been shown that IFN-γ activates the catabolic depletion of L-tryptophan via indoleamine 2,3-dioxygenase (IDO), resulting in the formation of non-infectious atypical chlamydial forms. In this thesis, we could show that IFN-γ depletes the key metabolic regulator c-Myc, which has been demonstrated to be a prerequisite for chlamydial development and growth, in a STAT1-dependent manner. Moreover, metabolic analyses revealed that the pathogen de routs the host cell TCA cycle to enrich pyrimidine biosynthesis. Supplementing pyrimidines or a-ketoglutarate helps the bacteria to partially overcome the persistent state. Together, the results indicate a central role of c-Myc induced host glutamine metabolism reprogramming and L-glutamine for the development of C. trachomatis, which may provide a basis for anti-infectious strategies. Furthermore, they challenge the longstanding hypothesis of L-tryptophan shortage as the sole reason for IFN-γ induced persistence and suggest a pivotal role of c-Myc in the control of the C. trachomatis dormancy.
Small proteins, often defined as shorter than 50 amino acids, have been implicated
in fundamental cellular processes. Despite this, they have been largely understudied throughout all domains of life, since their size often makes their identification and characterization challenging.
This work addressed the knowledge gap surrounding small proteins with a focus
on the model bacterial pathogen Salmonella Typhimurium. In a first step,
new small proteins were identified with a combination of computational and experimental approaches. Infection-relevant datasets were then investigated with
the updated Salmonella annotation to prioritize promising candidates involved in virulence.
To implement the annotation of new small proteins, predictions from the algorithm
sPepFinder were merged with those derived from Ribo-seq. These were added to the Salmonella annotation and used to (re)analyse different datasets. Information
regarding expression during infection (dual RNA-seq) and requirement for virulence (TraDIS) was collected for each given coding sequence. In parallel,
Grad-seq data were mined to identify small proteins engaged in intermolecular
interactions.
The combination of dual RNA-seq and TraDIS lead to the identification of small
proteins with features of virulence factors, namely high intracellular induction
and a virulence phenotype upon transposon insertion. As a proof of principle of
the power of this approach in highlighting high confidence candidates, two small
proteins were characterized in the context of Salmonella infection.
MgrB, a known regulator of the PhoPQ two-component system, was shown to be essential for the infection of epithelial cells and macrophages, possibly via its stabilizing effect on flagella or by interacting with other sensor kinases of twocomponent
systems. YjiS, so far uncharacterized in Salmonella, had an opposite role in infection, with its deletion rendering Salmonella hypervirulent. The mechanism underlying this, though still obscure, likely relies on the interaction with
inner-membrane proteins.
Overall, this work provides a global description of Salmonella small proteins in
the context of infection with a combinatorial approach that expedites the identification
of interesting candidates. Different high-throughput datasets available for
a broad range of organisms can be analysed in a similar manner with a focus on small proteins. This will lead to the identification of key factors in the regulation
of various processes, thus for example providing targets for the treatment of bacterial
infections or, in the case of commensal bacteria, for the modulation of the microbiota composition.
The biogenesis of spliceosomal UsnRNPs is a highly elaborate cellular process that occurs both in the nucleus and the cytoplasm. A major part of the process is the assembly of the Sm-core particle, which consists of a ring shaped heptameric unit of seven Sm proteins (SmD1•D2•F•E•G•D3•B) wrapped around a single stranded RNA motif (termed Sm-site) of spliceosomal UsnRNAs. This process occurs mainly in the cytoplasm by the sequential action of two biogenesis factors united in PRMT5- and SMN-complexes, respectively. The PRMT5-complex composed of the three proteins PRMT5, WD45 and pICln is responsible for the symmetric dimethylation of designated arginine residues in the C-terminal tails of some Sm proteins. The action of the PRMT5- complex results in the formation of assembly incompetent Sm-protein intermediates sequestered by the assembly chaperone pICln (SmD1•D2•F•E•G•pICln and pICln•D3•B). Due to the action of pICln, the Sm proteins in these complexes fail to interact with UsnRNAs to form the mature Sm-core. This kinetic trap is relieved by the action of the SMN-complex, which removes the pICln subunit and facilitates the binding of the Sm-core intermediates to the UsnRNA, thus forming the mature Sm-core particle. The human SMN complex consists of 9 subunits termed SMN, Gemin2-8 and Unrip. So far, there are no available atomic structures of the whole SMN-complex, but structures of isolated domains and subunits of the complex have been reported by several laboratories in the past years. The lack of structural information about the entire SMN complex most likely lies in the biophysical properties of the SMN complex, which possesses an oligomeric SMN core, and many unstructured and flexible regions. These were the biggest roadblocks for its structural elucidation using traditional methods such as X-ray crystallography, NMR or CryoEM. To circumvent these obstacles and to obtain structural insight into the SMN-complex, the Schizosaccharomyces pombe SMN complex was used as a model system in this work. In a collaboration with the laboratory of Dr. Remy Bordonne (IGMM, CNRS, France), we could show that the SpSMN complex is minimalistic in its composition, consisting only of SpSMN, SpGemin2, SpGemin8, SpGemin7 and SpGemin6. Using biochemical experiments, an interaction map of the SpSMN complex was established which was found to be highly similar to the reported map of the human SMN complex. The results of this study clearly show that SpSMN is the oligomeric core of the complex and provides the binding sites for the rest of the subunits. Through biochemical and X-ray scattering experiments, the properties of the SpSMN subunit such as oligomerization viii and intrinsic disorder, were shown to determine the overall biophysical characteristics of the whole complex. The structural basis of SpSMN oligomerization is presented in atomic detail which establishes a dimeric SpSMN as the fundamental unit of higher order SpSMN oligomers. In addition to oligomerization, the YG-box domain of SpSMN serves as the binding site for SpGemin8. The unstructured region of SpSMN imparts an unusual large hydrodynamic size, intrinsic disorder, and flexibility to the whole complex. Interestingly, these biophysical properties are partially mitigated by the presence of SpGemin8•SpGemin7•SpGemin6 subunits. These results classify the SpSMN complex as a multidomain entity connected with flexible linkers and characterize the SpSMN subunit to be the central oligomeric structural organizer of the whole complex.
For the quality assurance of substances for pharmaceutical use, a variety of analytical techniques are available to address specific analytical problems. In this field of application, liquid chromatography (LC) stands out as the gold standard in the pharmaceutical industry. Various detectors can be employed, which are e.g. based on UV/Vis spectroscopy for the examination of molecules with a chromophore, or mass spectrometry (MS) for structural elucidation of analytes. For the separation of enantiomers, the use of capillary electrophoresis (CE) may be more favorable due to the high separation efficiency and easy-to-use and comparatively inexpensive chiral selectors, in contrast to chiral columns for LC, which are usually very expensive and limited to a restricted number of analytes. For structure elucidation in impurity profiling, one- and multidimensional 1H NMR spectroscopy is a valuable tool as long as the analyte molecule has got nuclei that can be detected, which applies for the magnitude of organic pharmaceutical substances.
For the evaluation of the amount of mineral oil aromatic hydrocarbons (MOAH) in various paraffin samples from different suppliers, a straightforward method based on 1H NMR spectroscopy was elaborated. The MOAH/MOSH ratio was used to indicate the amount of MOAH of paraffins and to evaluate the extent of refining. In addition, a representative paraffin sample was measured without sample solvent at high temperatures (about 340 K) to avoid the interfering residual solvent signals in the spectral regions of interest. The results of both methods were in good accordance.
Moreover, the 1H NMR results were complemented with the UV measurements from the purity testing of paraffins according to the DAB 8. Correlations of the NMR and UV spectroscopic data indicated a linear relationship of both methods for the determination of MOAH in paraffins.
Finally, the 1H NMR data was evaluated by principal component analysis (PCA) to explore differences within the paraffin samples and the spectral regions in the 1H NMR spectrum which are responsible for the formation of groups. It could be found that most variation is due to the MOSH of the paraffins. The PCA model was capable of differentiating between soft, liquid and solid paraffins on the one hand and between natural and synthetic liquid paraffins on the other hand.
The impurity profiling of L-ascorbic acid 2-phosphate magnesium (A2PMg) was performed by means of one- and two-dimensional NMR spectroscopy. Several ethylated impurities could be detected, which were likely to be formed during synthesis of A2PMg. The structures of two of the ethylated impurities were identified as ascorbic acid 2-phosphate ethyl ester and ethanol, (residual solvent from synthesis). NMR spectroscopic studies of the fractions obtained from preparative HPLC of A2PMg revealed two additional impurities, which were identified as phosphorylated derivatives of ascorbic acid, ascorbic acid 3,5-phosphate and ascorbic acid 5-phosphate.
Solid state mechanochemistry as an alternative approach for stress testing was applied on the drug substances S-Ibuprofen (Ibu) and Clopidogrel (CLP) using a ball mill, in order to study their degradation profile:
First, the isomerization of S-Ibu was investigated, which was stressed in the solid state applying several milling frequencies and durations under basic, acidic and neutral conditions. For the separation of Ibu enantiomers, a chiral CE method was developed and validated according to ICH Q2(R1). It was found that S-Ibu is overall very stable to isomerization; it shows minor conversion into the R-enantiomer under basic environment applying long milling times and high frequencies.
Last, the degradation profile of clopidogrel hydrogen sulfate (CLP) was investigated, which was stressed in the solid state under various oxidative conditions. An already existing HPLC-UV method was adjusted to sufficiently separate the degradation products, which were characterized by means of UV and MS/(MS) detection. Most of the degradation products identified were already reported to result from conventional CLP stress tests. The degradation profile of CLP was mainly influenced by the material of the milling jar and the type of catalyst used.
The SNR spectra model and measurement method developed in this work yield reliable application-specific optima for image quality. This optimization can either be used to understand image quality, find out how to build a good imaging device or to (automatically) optimize the parameters of an existing setup.
SNR spectra are here defined as a fraction of power spectra instead of a product of device properties. In combination with the newly developed measurement method for this definition, a close correspondence be- tween theory and measurement is achieved. Prior approaches suffer from a focus on theoretical definitions without fully considering if the defined quantities can be measured correctly. Additionally, discrepancies between assumptions and reality are common.
The new approach is more reliable and complete, but also more difficult to evaluate and interpret. The signal power spectrum in the numerator of this fraction allows to model the image quality of different contrast mechanisms that are used in high-resolution x-ray imaging. Superposition equations derived for signal and noise enable understanding how polychromaticity (or superposition in general) affects the image quality.
For the concept of detection energy weighting, a quantitative model for how it affects im- age quality was found. It was shown that—depending on sample properties—not detecting x-ray photons can increase image quality. For optimal computational energy weighting, more general formula for the optimal weight was found. In addition to the signal strength, it includes noise and modulation transfer.
The novel method for measuring SNR spectra makes it possible to experimentally optimize image quality for different contrast mechanisms. This method uses one simple measurement to obtain a measure for im- age quality for a specific experimental setup. Comparable measurement methods typically require at least three more complex measurements, where the combination may then give a false result. SNR spectra measurements can be used to:
• Test theoretical predictions about image quality optima.
• Optimize image quality for a specific application.
• Find new mechanisms to improve image quality.
The last item reveals an important limitation of x- ray imaging in general: The achievable image quality is limited by the amount of x-ray photons interacting with the sample, not by the amount incident per detector area (see section 3.6). If the rest of the imaging geometry is fixed, moving the detector only changes the field of view, not the image quality. A practical consequence is that moving the sample closer to the x-ray source increases image quality quadratically.
The results of a SNR spectra measurement represent the image quality only on a relative scale, but very reliable. This relative scale is sufficient for an optimization problem. Physical effects are often already clearly identifiable by the shape of the functional relationship between input parameter and measurement result.
SNR spectra as a quantity are not well suited for standardization, but instead allow a reliable optimization. Not satisfying the requirements of standardization allows to use methods which have other advantages. In this case, the SNR spectra method describes the image quality for a specific application. Consequently, additional physical effects can be taken into account. Additionally, the measurement method can be used to automate the setting of optimal machine parameters.
The newly proposed image quality measure detection effectiveness is better suited for standardization or setup comparison. This quantity is very similar to measures from other publications (e.g. CNR(u)), when interpreted monochromatically. Polychromatic effects can only be modeled fully by the DE(u). The measurement processes of both are different and the DE(u) is fundamentally more reliable.
Information technology and digital data processing make it possible to determine SNR spectra from a mea- sured image series. This measurement process was designed from the ground up to use these technical capabilities. Often, information technology is only used to make processes easier and more exact. Here, the whole measurement method would be infeasible without it. As this example shows, using the capabilities of digital data processing much more extensively opens many new possibilities. Information technology can be used to extract information from measured data in ways that analog data processing simply cannot.
The original purpose of the SNR spectra optimization theory and methods was to optimize high resolution x-ray imaging only. During the course of this work, it has become clear that some of the results of this work affect x-ray imaging in general. In the future, these results could be applied to MI and NDT x-ray imaging. Future work on the same topic will also need to consider the relationship between SNR spectra or DE(u) and sufficient image quality.This question is about the minimal image quality required for a specific measurement task.
The outcome of the innate immune response to biomaterials mainly determines whether the material will be incorporated in the body to fulfill its desired function or, when it gets encapsulated, will be rejected in the worst case. Macrophages are key players in this process, and their polarization state with either pro- (M1), anti-inflammatory (M2), or intermediate characteristics is crucial for deciding on the biomaterial’s fate. While a transient initial pro-inflammatory state is helpful, a prolonged inflammation deteriorates the proper healing and subsequent regeneration. Therefore, biomaterial-based polarization may aid in driving macrophages in the desired direction. However, the in vivo process is highly complex, and a mono-culture of macrophages in vitro displays only one part of the cellular system, but, to this date, there is a lack of established co-cultures to assess the immune response to biomaterials. Thus, this thesis aimed to establish a functional co-culture system of human macrophages and human mesenchymal stromal cells (hMSCs) to improve the assessment of the immune response to biomaterials in vitro. Together with macrophages, hMSCs are involved in tissue regeneration and inflammatory reactions and can modulate the immune response. In particular, endogenously derived hMSCs considerably contribute to the successful engrafting of biomaterials. This thesis focused on poly(ε-caprolactone) (PCL) fiber-based scaffolds produced by the technique of melt electrowriting (MEW) as biomaterial constructs. Via this fabrication technique, uniform, precisely ordered scaffolds varying in geometry and pore size have been created in-house.
To determine the impact of scaffold geometries and pore sizes on macrophages, mono-cultures incubated on scaffolds were conducted. As a pre-requisite to achieve a functional co-culture system on scaffolds, setups for direct and indirect systems in 2D have initially been established. These setups were analyzed for the capability of cell-cell communication. In parallel, a co-culture medium suitable for both cell types was defined, prior to the establishment of a step-by-step procedure for the co-cultivation of human macrophages and hMSCs on fiber-based scaffolds.
Regarding the scaffold morphologies tested within this thesis to improve M2-like polarization, box-shaped scaffolds outperformed triangular-, round- or disordered-shaped ones. Upon further investigation of scaffolds with box-shaped pores and precise inter-fiber spacing from 100 µm down to only 40 µm, decreasing pore sizes facilitated primary human macrophage elongation accompanied by their differentiation towards the M2 type, which was most pronounced for the smallest pore size of 40 µm. To the best of my knowledge, this was the first time that the elongation of human macrophages in a 3D environment has been correlated to their M2-like polarization. Thus, these results may set the stage for the design, the assessment, and the selection of new biomaterials, which can positively affect the tissue regeneration.
The cell communication of both cell types, detected via mitochondria exchange in direct and indirect co-cultures systems, took place in both directions, i.e., from hMSCs to macrophages and vice versa. Thereby, in direct co-culture, tunneling nanotubes enabled the transfer from one cell type to the respective other, while in indirect co-culture, a non-directional transfer through extracellular vesicles (EVs) released into the medium seemed likely. Moreover, the phagocytic activity of macrophages after 2D co-cultivation and hence immunomodulation by hMSCs increased with the highest phagocytic rate after 48 h being most pronounced in direct co-cultivation.
As the commonly used serum supplements for macrophages and hMSCs, i.e., human serum (hS) and fetal calf serum (FCS), respectively, failed to support the respective other cell type during prolonged cultivation, these sera were replaced by human platelet lysate (hPL), which has been proven to be the optimal supplement for the co-cultivation of human macrophages with hMSCs within this thesis. Thereby, the phenotype of both cell types, the distribution of both cell populations, the phagocytic activity of macrophages, and the gene expression profiles were maintained and comparable to the respective standard mono-culture conditions. This was even true when hPL was applied without the anticoagulant heparin in all cultures with macrophages, and therefore, heparin was omitted for further experiments comprising hPL and macrophages.
Accordingly, a step-by-step operating procedure for the co-cultivation on fiber-based scaffolds has been established comprising the setup for 3D cultivation as well as the description of methods for the analysis of phenotypical and molecular changes upon contact with the biomaterial. The evaluation of the macrophage response depending on the cultivation with or without hMSCs and either on scaffolds or on plastic surfaces has been successfully achieved and confirmed the functionality of the suggested procedures.
In conclusion, the functional co-culture system of human macrophages and hMSCs established here can now be employed to assess biomaterials in terms of the immune response in a more in vivo-related way. Moreover, specifically designed scaffolds used within the present thesis showed auspicious design criteria positively influencing the macrophage polarization towards the anti-inflammatory, pro-healing type and might be adaptable to other biomaterials in future approaches.
Hence, follow-up experiments should focus on the evaluation of the co-culture outcome on promising scaffolds, and the suggested operating procedures should be adjusted to further kinds of biomaterials, such as cements or hydrogels.
The main goal of this thesis is to elucidate the sense in which recent experimental progress in condensed matter physics, namely the verification of two-dimensional Dirac-like materials and their control in ballistic- as well as hydrodynamic transport experiments enables the observation of a well-known 'high-energy' phenomenon: The parity anomaly of planar quantum electrodynamics (QED\(_{2+1}\)). In a nutshell, the low-energy physics of two-dimensional Quantum Anomalous Hall (QAH) insulators like (Hg,Mn)Te quantum wells or magnetically doped (Bi,Sb)Te thin films can be described by the combined response of two 2+1 space-time dimensional Chern insulators with a linear dispersion in momentum. Due to their Dirac-like spectra, each of those Chern insulators is directly related to the parity anomaly of planar quantum electrodynamics. However, in contrast to a pure QED\(_{2+1}\) system, the Lagrangian of each Chern insulator is described by two different mass terms: A conventional momentum-independent Dirac mass \(m\), as well as a momentum-dependent so-called Newtonian mass term \(B \vert \mathbf{k} \vert^2\). According to the parity anomaly it is not possible to well-define a parity- and U(1) gauge invariant quantum system in 2+1 space-time dimensions. More precisely, starting with a parity symmetric theory at the classical level, insisting on gauge-invariance at the quantum level necessarily induces parity-odd terms in the calculation of the quantum effective action. The role of the Dirac mass term in the calculation of the effective QED\(_{2+1}\) action has been initially studied in Phys. Rev. Lett. 51, 2077 (1983). Even in the presence of a Dirac mass, the associated fermion determinant diverges and lacks gauge invariance. This requires a proper regularization/renormalizaiton scheme and, as such, transfers the peculiarities of the parity anomaly to the massive case.
In the scope of this thesis, we connect the momentum-dependent Newtonian mass term of a Chern insulator to the parity anomaly. In particular, we reveal, that in the calculation of the effective action, before renormalization, the Newtonian mass term acts similarly to a parity-breaking element of a high-energy regularization scheme. This calculation allows us to derive the finite frequency correction to the DC Hall conductivity of a QAH insulator. We derive that the leading order AC correction contains a term proportional to the Chern number. This term originates from the Newtonian mass and can be measured via electrical or via magneto-optical experiments. The Newtonian mass, in particular, significantly changes the resonance structure of the AC Hall conductivity in comparison to pure Dirac systems like graphene.
In addition, we study the effective action of the aforementioned Chern insulators in external out-of-plane magnetic fields. We show that as a consequence of the parity anomaly the QAH phase in (Hg,Mn)Te quantum wells or in magnetically doped (Bi,Sb)Te thin films survives in out-of-plane magnetic fields, violates the Onsager relation, and can therefore be distinguished from a conventional quantum Hall (QH) response. As a smoking-gun of the QAH phase in increasing magnetic fields, we predict a transition from a quantized Hall plateau with \(\sigma_\mathrm{xy}= -\mathrm{e}^2/\mathrm{h}\) to a not perfectly quantized plateau which is caused by scattering processes between counter-propagating QH and QAH edge states. This transition is expected to be of significant relevance in paramagnetic QAH insulators like (Hg,Mn)Te/CdTe quantum wells, in which the exchange interaction competes against the out-of-plane magnetic field.
All of the aforementioned results do not incorporate finite temperature effects. In order to shed light on such phenomena, we further analyze the finite temperature Hall response of 2+1 dimensional Chern insulators under the combined influence of a chemical potential and an out-of-plane magnetic field. As we have mentioned above, this non-dissipative transport coefficient is directly related to the parity anomaly of planar quantum electrodynamics. Within the scope of our analysis we show that the parity anomaly itself is not renormalized by finite temperature effects. However, the parity anomaly induces two terms of different physical origin in the effective Chern-Simons action of a QAH insulator, which are directly proportional to its Hall conductivity. The first term is temperature and chemical potential independent and solely encodes the intrinsic topological response. The second term specifies the non-topological thermal response of conduction- and valence band modes, respectively. We show that the relativistic mass \(m\) of a Chern insulator counteracts finite temperature effects, whereas its non-relativistic Newtonian mass \(B \vert \mathbf{k} \vert^2 \) enhances these corrections. In addition, we are extending our associated analysis to finite out-of-plane magnetic fields, and relate the thermal response of a Chern insulator therein to the spectral asymmetry, which is a measure of the parity anomaly in out-of-plane magnetic fields.
In the second part of this thesis, we study the hydrodynamic properties of two-dimensional electron systems with a broken time-reversal and parity symmetry. Within this analysis we are mainly focusing on the non-dissipative transport features originating from a peculiar hydrodynamic transport coefficient: The Hall viscosity \(\eta_\mathrm{H}\). In out-of-plane magnetic fields, the Hall viscous force directly competes with the Lorentz force, as both mechanisms contribute to the overall Hall voltage. In our theoretical considerations, we present a way of uniquely distinguishing these two contributions in a two-dimensional channel geometry by calculating their functional dependencies on all external parameters. We are in particular deriving that the ratio of the Hall viscous contribution to the Lorentz force contribution is negative and that its absolute value decreases with an increasing width, slip-length and carrier density. Instead, it increases with the electron-electron mean free path in the channel geometry considered. We show that in typical materials such as GaAs the Hall viscous contribution can dominate the Lorentz signal up to a few tens of millitesla until the total Hall voltage vanishes and eventually is exceeded by the Lorentz contribution. Last but not least, we derive that the total Hall electric field has a parabolic form originating from Lorentz effects. Most remarkably, the offset of this parabola is directly characterized by the Hall viscosity. Therefore, in summary, our results pave the way to measure and to identify the Hall viscosity via both global and local measurements of the entire Hall voltage.
Organoboron compounds are important building blocks in organic synthesis, materials science, and drug discovery. The development of practical and convenient ways to synthesize boronate esters attracted significant interest. Photoinduced borylations originated with stoichiometric reactions of arenes and alkanes with well-defined metal-boryl complexes. Now photoredox-initiated borylations, catalyzed either by transition-metal or organic photocatalysts, and photochemical borylations with high efficiency have become a burgeoning area of research. In this chapter, we summarize research in the field of photocatalytic C-X borylation, especially emphasizing recent developments and trends, based on transition-metal catalysis, metal-free organocatalysis and direct photochemical activation. We focus on reaction mechanisms involving single electron transfer (SET), triplet energy transfer (TET), and other radical processes.
We developed a highly selective photocatalytic C-F borylation method that employs a rhodium biphenyl complex as a triplet sensitizer and the nickel catalyst [Ni(IMes)2] (IMes = 1,3-dimesitylimidazolin-2-ylidene) for the C-F bond activation and defluoroborylation process. This tandem catalyst system operates with visible (400 nm) light and achieves borylation of a wide range of fluoroarenes with B2pin2 at room temperature in excellent yields and with high selectivity. Direct irradiation of the intermediary C-F bond oxidative addition product trans-[NiF(ArF)(IMes)2] leads to fast decomposition when B2pin2 is present. This destructive pathway can be bypassed by indirect excitation of the triplet states of the nickel(II) complex via the photoexcited rhodium biphenyl complex. Mechanistic studies suggest that the exceptionally long-lived triplet excited state of the Rh biphenyl complex used as the photosensitizer allows for efficient triplet energy transfer to trans-[NiF(ArF)(IMes)2], which leads to dissociation of one of the NHC ligands. This contrasts with the majority of current photocatalytic transformations, which employ transition metals as excited state single electron transfer agents. We have previously reported that C(arene)-F bond activation with [Ni(IMes)2] is facile at room temperature, but that the transmetalation step with B2pin2 is associated with a high energy barrier. Thus, this triplet energy transfer ultimately leads to a greatly enhanced rate constant for the transmetalation step and thus for the whole borylation process. While addition of a fluoride source such as CsF enhances the yield, it is not absolutely required. We attribute this yield-enhancing effect to (i) formation of an anionic adduct of B2pin2, i.e. FB2pin2-, as an efficient, much more nucleophilic {Bpin-} transfer reagent for the borylation/transmetalation process, and/or (ii) trapping of the Lewis acidic side product FBpin by formation of [F2Bpin]- to avoid the formation of a significant amount of NHC-FBpin and consequently of decomposition of {Ni(NHC)2} species in the reaction mixture.
We reported a highly selective and general photo-induced C-Cl borylation protocol that employs [Ni(IMes)2] (IMes = 1,3-dimesitylimidazoline-2-ylidene) for the radical borylation of chloroarenes. This photo-induced system operates with visible light (400 nm) and achieves borylation of a wide range of chloroarenes with B2pin2 at room temperature in excellent yields and with high selectivity, thereby demonstrating its broad utility and functional group tolerance. Mechanistic investigations suggest that the borylation reactions proceed via a radical process. EPR studies demonstrate that [Ni(IMes)2] undergoes very fast chlorine atom abstraction from aryl chlorides to give [NiI(IMes)2Cl] and aryl radicals. Control experiments indicate that light promotes the reaction of [NiI(IMes)2Cl] with aryl chlorides generating additional aryl radicals and [NiII(IMes)2Cl2]. The aryl radicals react with an anionic sp2-sp3 diborane [B2pin2(OMe)]- formed from B2pin2 and KOMe to yield the corresponding borylation product and the [Bpin(OMe)]•- radical anion, which reduces [NiII(IMes)2Cl2] under irradiation to regenerate [NiI(IMes)2Cl] and [Ni(IMes)2] for the next catalytic cycle.
A highly efficient and general protocol for traceless, directed C3-selective C-H borylation of indoles with [Ni(IMes)2] as the catalyst was achieved. Activation and borylation of N-H bonds by [Ni(IMes)2] is essential to install a Bpin moiety at the N-position as a traceless directing group, which enables the C3-selective borylation of C-H bonds. The N-Bpin group which is formed is easily converted in situ back to an N-H group by the oxidiative addition product of [Ni(IMes)2] and in situ-generated HBpin. The catalytic reactions are operationally simple, allowing borylation of of a variety of substituted indoles with B2pin2 in excellent yields and with high selectivity. The C-H borylation can be followed by Suzuki-Miyaura cross-coupling of the C-borylated indoles in an overall two-step, one-pot process providing an efficient method for synthesizing C3-functionalized heteroarenes.
Design of novel IL-4 antagonists employing site-specific chemical and biosynthetic glycosylation
(2021)
The cytokines interleukin 4 (IL-4) and IL-13 are important mediators in the humoral immune response and play a crucial role in the pathogenesis of chronic inflammatory diseases, such as asthma, allergies, and atopic dermatitis. Hence, IL-4 and IL-13 are key targets for treatment of such atopic diseases.
For cell signalling IL-4 can use two transmembrane receptor assemblies, the type I receptor consisting of receptors IL-4R and γc, and type II receptor consisting of receptors IL-4R and IL-13R1. The type II receptor is also the functional receptor of IL-13, receptor sharing being the molecular basis for the partially overlapping effects of IL-4 and IL-13. Since both cytokines require the IL-4R receptor for signal transduction, this allows the dual inhibition of both IL-4 and IL-13 by specifically blocking the receptor IL-4R.
This study describes the design and synthesis of novel antagonistic variants of human IL-4. Chemical modification was used to target positions localized in IL-4 binding sites for γc and IL-13R1 but outside of the binding epitope for IL-4R. In contrast to existing studies, which used synthetic chemical compounds like polyethylene glycol for modification of IL-4, we employed glycan molecules as a natural alternative. Since glycosylation can improve important pharmacological parameters of protein therapeutics, such as immunogenicity and serum half-life, the introduced glycan molecules thus would not only confer a steric hindrance based inhibitory effect but simultaneously might improve the pharmacokinetic profile of the IL-4 antagonist.
For chemical conjugation of glycan molecules, IL-4 variants containing additional cysteine residues were produced employing prokaryotic, as well as eukaryotic expression systems. The thiol-groups of the engineered cysteines thereby allow highly specific modification. Different strategies were developed enabling site-directed coupling of amine- or thiol- functionalized monosaccharides to introduced cysteine residues in IL-4. A linker-based coupling procedure and an approach requiring phenylselenyl bromide activation of IL-4 thiol-groups were hampered by several drawbacks, limiting their feasibility. Surprisingly, a third strategy, which involved refolding of IL-4 cysteine variants in the presence of thiol- glycans, readily allowed synthesis of IL-4 glycoconjugates in form of mixed disulphides in milligram amount. This approach, therefore, has the potential for large-scale synthesis of IL-4 antagonists with highly defined glycosylation. Obtaining a homogenous glycoconjugate with exactly defined glycan pattern would allow using the attached glycan structures for fine-tuning of pharmacokinetic properties of the IL-4 antagonist, such as absorption and metabolic stability.
The IL-4 glycoconjugates generated in this work proved to be highly effective antagonists inhibiting IL-4 and/or IL-13 dependent responses in cell-based experiments and in in vitro binding studies. Glycoengineered IL-4 antagonists thus present valuable alternatives to IL-4 inhibitors used for treatment of atopic diseases such as the neutralizing anti-IL-4R antibody Dupilumab.
Water transport through the water channels, aquaporins (AQPs), is involved in epithelial fluid secretion and absorption, cell migration, brain edema, adipocyte metabolism, and other physiological or pathological functions. Modulation of AQP function has therapeutic potential in edema, cancer, obesity, brain injury, glaucoma, etc. The function of AQPs is in response to the osmotic gradient that is formed by the concentration differences of ions or small molecules. In terms of brain edema, it is a pathophysiological condition, resulting from dysfunction of the plasma membrane that causes a disorder of intracellular ion homeostasis and thus increases intracellular fluid content. Optogenetics can be used to regulate ion transport easily by light with temporal and spatial precision. Therefore, if we control the cell ion influx, boosting the water transport through AQPs, this will help to investigate the pathological mechanisms in e.g. brain edema. To this end, I investigated the possibility for optogenetic manipulating water transport in Xenopus oocytes. The main ions in Xenopus oocyte cytoplasm are ~10 mM Na+, ~50 mM Cl- and ~100 mM K+, similar to the mammalian cell physiological condition. Three light-gated channels, ChR2-XXM 2.0 (light-gated cation channel), GtACR1 (light-gated anion channel) and SthK-bPAC (light-gated potassium channel), were used in my study to regulate ion transport by light and thus manipulate the osmotic gradient and water transport. To increase water flow, I also used coexpression of AQP1. When expressing ChR2-XXM 2.0 and GtACR1 together, mainly Na+ influx was triggered by ChR2-XXM2.0 under blue light illumination, which then made the membrane potential more positive and facilitated Cl- influx by GtACR1. Due to this inward movement of Na+ and Cl-, the osmotic gradient was formed to trigger water influx through AQP1. Large amounts of water uptake can speedily increase the oocyte volume until membrane rupture. Next, when co-expressing GtACR1 and SthK-bPAC, water efflux will be triggered with blue light because of the light-gated KCl efflux and then oocyte shrinking could be observed.
I also developed an optogenetic protein purification method based on a light-induced protein interactive system. Currently, the most common protein purification method is based on affinity chromatography, which requires different chromatography columns and harsh conditions, such as acidic pH 4.5 - 6 and/or adding imidazole or high salt concentration, to elute and collect the purified proteins. The change in conditions could influence the activity of target proteins. So, an easy and flexible protein purification method based on the photo-induced protein interactive system iLID was designed, which regulates protein binding with light in mild conditions and does not require a change of solution composition. For expression in E. coli, the blue light-sensitive part of iLID, the LOV2 domain, was fused with a membrane anchor and expressed in the plasma membrane, and the other binding partner, SspB, was fused with the protein of interest (POI), expressed in the cytosol. The plasma membrane fraction and the soluble cytosolic fraction of E. coli can be easily separated by centrifugation. The SspB-POI can be then captured to the membrane fraction by light stimulation and released to clean buffer in the dark after washing. This method does not require any specific column and functions in mild conditions, which are very flexible at scale and will facilitate extensive protein engineering and purification of proteins, sensitive to changed buffer conditions.
This work consists of two parts. On the one hand, it describes simulation and
measurement of the effect of contaminations of the detector gas on the performance
of particle detectors, with special focus on Micromegas detectors. On the other
hand, it includes the setup of a production site for the finalization of drift panels
which are going to be used in the ATLAS NSW. The first part augments these
two parts to give an introduction into the theoretical foundations of gaseous particle
detectors.
This thesis describes the functional principle of FARN, a novel flight controller for Unmanned Aerial Vehicles (UAVs) designed for mission scenarios that require highly accurate and reliable navigation. The required precision is achieved by combining low-cost inertial sensors and Ultra-Wide Band (UWB) radio ranging with raw and carrier phase observations from the Global Navigation Satellite System (GNSS). The flight controller is developed within the scope of this work regarding the mission requirements of two research projects, and successfully applied under real conditions.
FARN includes a GNSS compass that allows a precise heading estimation even in environments where the conventional heading estimation based on a magnetic compass is not reliable. The GNSS compass combines the raw observations of two GNSS receivers with FARN’s real-time capable attitude determination. Thus, especially the deployment of UAVs in Arctic environments within the project for ROBEX is possible despite the weak horizontal component of the Earth’s magnetic field.
Additionally, FARN allows centimeter-accurate relative positioning of multiple UAVs in real-time. This enables precise flight maneuvers within a swarm, but also the execution of cooperative tasks in which several UAVs have a common goal or are physically coupled. A drone defense system based on two cooperative drones that act in a coordinated manner and carry a commonly suspended net to capture a potentially dangerous drone in mid-air was developed in conjunction with the
project MIDRAS.
Within this thesis, both theoretical and practical aspects are covered regarding UAV development with an emphasis on the fields of signal processing, guidance and control, electrical engineering, robotics, computer science, and programming of embedded systems. Furthermore, this work aims to provide a condensed reference for further research in the field of UAVs.
The work describes and models the utilized UAV platform, the propulsion system, the electronic design, and the utilized sensors. After establishing mathematical conventions for attitude representation, the actual core of the flight controller, namely the embedded ego-motion estimation and the principle control architecture are outlined. Subsequently, based on basic GNSS navigation algorithms, advanced carrier phase-based methods and their coupling to the ego-motion estimation framework are derived. Additionally, various implementation details and optimization steps of the system are described. The system is successfully deployed and tested within the two projects. After a critical examination and evaluation of the developed system, existing limitations and possible improvements are outlined.
This work investigates the death and degradation of the second polar body of the nematode C. elegans in order to improve our understanding how pluripotent undifferentiated cells deal with dying cells. With the use of fluorescence microscopy this work demonstrates that both polar bodies loose membrane integrity early. The second polar body has contact to embryonic cells and gets internalized, dependent on the Rac1-ortholog CED-10.
The polar body gets degraded via LC3-associated phagocytosis. While lysosome recruitment depends on RAB-7, LC3 does not improve lysosome recruitment but still accelerates polar body degradation.
This work establishes the second polar body as a genetic model to study cell death and LC3-associated phagocytosis and has revealed further aspects of phagosome maturation and degradation.
Adapting defensive behavior to the characteristics of a threatening situation is a fundamental function of the brain. Particularly, threat imminence plays a major role for the organization of defensive responses. Acute threat prompts phasic physiological responses, which are usually associated with an intense feeling of fear. In contrast, diffuse and potentially threatening situations elicit a sustained state of anxious apprehension. Detection of the threatening stimulus defines the key event in this framework, initiating the transition from potential to acute threat. Consequently, attention to threat is crucial for supporting defensive behavior. The functions of attention are finely tuned to the characteristics of a threatening situation. Potential threat is associated with hypervigilance, in order to facilitate threat detection. Once a threatening stimulus has been identified, attention is selectively focused on the source of danger. Even though the concepts of selective attention and hypervigilance to threat are well established, evidence for their neural correlates remain scarce. Therefore, a major goal of this thesis is to elucidate the neural correlates of selective attention to acute threat and hypervigilance during potential threat. A second aim of this thesis is to provide a mechanistic account for the interaction of fear and anxiety. While contemporary models view fear and anxiety as mutually exclusive, recent findings for the neural networks of fear and anxiety suggest potential interactions. In four studies, aversive cue conditioning was used to induce acute threat, while context conditioning served as a laboratory model of potential threat. To quantify neural correlates of selective attention and hypervigilance, steady-state visual evoked potentials (ssVEPs) were measured as an index of visuocortical responding. Study 1 compared visuocortical responses to acute and potential threat for high versus low trait-anxious individuals. All individuals demonstrated enhanced electrocortical responses to the central cue in the acute threat condition, suggesting evidence for the neural correlate of selective attention. However, only low anxious individuals revealed facilitated processing of the contexts in the potential threat condition, reflecting a neural correlate of hypervigilance. High anxious individuals did not discriminate among contexts. These findings contribute to the notion of aberrational processing of potential threat for high anxious individuals. Study 2 and 3 realized orthogonal combinations of cue and context conditioning to investigate potential interactions of fear and anxiety. In contrast to Study 1 and 2, Study 3 used verbal instructions to induce potentially threatening contexts. Besides ssVEPs, threat ratings and skin conductance responses (SCRs) were recorded as efferent indices of defensive responding. None of these studies found further evidence for the neural correlates of hypervigilance and selective attention. However, results for ratings and SCRs revealed additive effects of fear and anxiety, suggesting that fear and anxiety are not mutually exclusive, but interact linearly to organize and facilitate defensive behavior. Study 4 tested ssVEPs to more ecologically valid forms of context conditioning, using flickering video stimuli of virtual offices to establish context representations. Contrary to expectations, results revealed decreased visuocortical responses during sustained presentations of anxiety compared to neutral contexts. A disruption of ssVEP signals eventually suggests interferences by continuously changing video streams which are enhanced as a function of motivational relevance. In summary, this thesis provided evidence for the neural correlates of attention only for isolated forms of fear and anxiety, but not for their interaction. In contrast, an additive interaction model of fear and anxiety for measures of defensive responding offers a new perspective on the topography of defensive behavior.
These days, treatment of melanoma patients relies on targeted therapy with BRAF/MEK inhibitors and on immunotherapy. About half of all patients initially respond to existing therapies. Nevertheless, the identification of alternative therapies for melanoma patients with intrinsic or acquired resistance is of great importance. In melanoma, antioxidants play an essential role in the maintenance of the redox homeostasis. Therefore, disruption of the redox homeostasis is regarded as highly therapeutically relevant and is the focus of the present work.
An adequate supply of cysteine is essential for the production of the most important intracellular antioxidants, such as glutathione. In the present work, it was investigated whether the depletion of cysteine and glutathione is therapeutically useful. Depletion of glutathione in melanoma cells could be achieved by blocking cysteine supply, glutathione synthesis, and NADPH regeneration. As expected, this led to an increased level of reactive oxygen species (ROS). Surprisingly, however, these changes did not impair the proliferation and survival of the melanoma cells. In contrast, glutathione depletion led to cellular reprogramming which was characterized by the induction of mesenchymal genes and the repression of differentiation markers (phenotypic switch). This was accompanied by an increased migration and invasion potential which was favored by the induction of the transcription factor FOSL1. To study in vivo reprogramming, Gclc, the first and rate-limiting enzyme in glutathione synthesis, was knocked out by CRISPR/Cas9 in murine melanoma cells. The cells were devoid of glutathione, but were fully viable and showed a phenotypic switch, the latter only in MITF-expressing B16F1 cells and not in MITF-deficient D4M3A.781 cells. Following subcutaneous injection into immunocompetent C57BL/6 mice, Gclc knockout B16F1 cells grew more aggressively and resulted in an earlier tumor onset than B16F1 control cells.
In summary, this work demonstrates that inhibition of cysteine supply and thus, glutathione synthesis leads to cellular reprogramming in melanoma. In this context, melanoma cells show metastatic capabilities, promoting a more aggressive form of the disease.
Chronic inflammatory diseases such as rheumatoid arthritis, type 2 diabetes and cardiovascular diseases, are associated with the homeostatic imbalance of one of several physiological systems combined with the lack of spontaneous remission, which causes the disease to persevere throughout patients’ lives. The inflammatory response relies mainly on tissue-resident, pro-inflammatory M1 type macrophages and, consequently, a chance for therapeutic intervention lies in driving macrophage polarization towards the anti-inflammatory M2 phenotype. Therefore, anti-inflammatory cytokines that promote M2 polarization, including interleukin-4 (IL4), have promising therapeutic potential. Unfortunately, their systemic use is hampered by a short serum half-life and dose-limiting toxicity. On the way towards cytokine therapies with superior safety and efficacy, this thesis is focused on designing bioresponsive delivery systems for the anti-inflammatory cytokine IL4.
Chapter 1 describes how anti-inflammatory cytokines are tightly regulated in chronic, systemic inflammation as in rheumatoid arthritis but also in acute, local inflammation as in myocardial infarction. Both diseases show a characteristic progression during which anti-inflammatory cytokine delivery is of variable benefit. A conventional, passive drug delivery system is unlikely to release the cytokines such that the delivery matches the dynamic course of the (patho-)physiological progress. This chapter presents a blueprint for active drug delivery systems equipped with a 24/7 inflammation detector that continuously senses for matrix metalloproteinases (MMP) as surrogate markers of the disease progress and responds by releasing cytokines into the affected tissues at the right time and place. Because they are silent during phases of low disease activity, bioresponsive depots could be used to treat patients in asymptomatic states, as a preventive measure. The drug delivery system only gets activated during flares of inflammation, which are then immediately suppressed by the released cytokine drug and could prevent the steady damage of subclinical chronic inflammation, and therefore reduce hospitalization rates.
In a first proof of concept study on controlled cytokine delivery (chapter 2), we developed IL4-decorated particles aiming at sustained and localized cytokine activity. Genetic code expansion was deployed to generate muteins with the IL4’s lysine 42 replaced by two different unnatural amino acids bearing a side chain suitable for click chemistry modification. The new IL4 muteins were thoroughly characterized to ensure proper folding and full bioactivity. Both muteins showed cell-stimulating ability and binding affinity to IL4 receptor alpha similar to those of wild type IL4. Copper-catalyzed (CuAAC) and strain-promoted (SPAAC) azide–alkyne cycloadditions were used to site-selectively anchor IL4 to agarose particles. These particles had sustained IL4 activity, as demonstrated by the induction of TF-1 cell proliferation and anti-inflammatory M2 polarization of M-CSF-generated human macrophages. This approach of site-directed IL4 anchoring on particles demonstrates that cytokine-functionalized particles can provide sustained and spatially controlled immune-modulating stimuli.
The idea of a 24/7 sensing, MMP driven cytokine delivery system, as described in the introductory chapter, was applied in chapter 3. There, we simulated the natural process of cytokine storage in the extracellular matrix (ECM) by using an injectable solution of IL4 for depot formation by enzyme-catalyzed covalent attachment to ECM components such as fibronectin. The immobilized construct is meant to be cleaved from the ECM by matrix-metalloproteinases (MMPs) which are upregulated during flares of inflammation. These two functionalities are facilitated by a peptide containing two sequences: a protease-sensitive peptide linker (PSL) for MMP cleavage and a sequence for covalent attachment by activated human transglutaminase FXIIIa (TGase) included in the injection mix for co-administration. This peptide was site-selectively conjugated to the unnatural amino acid at IL4 position 42 allowing to preserve wild type bioactivity of IL4. In vitro experiments confirmed the anticipated MMP response towards the PSL and TGase-mediated construct attachment to fibronectin of the ECM. Furthermore, the IL4-peptide conjugates were able to reduce inflammation and protect non-load bearing cartilage along with the anterior cruciate ligament from degradation in an osteoarthritis model in rabbits. This represents the first step towards a minimally invasive treatment option using bioresponsive cytokine depots with potential clinical value for inflammatory conditions.
One of the challenges with this approach was the production of the cytokine conjugate, with incorporation of the unnatural amino acid into IL4 being the main bottleneck. Therefore, in chapter 4, we designed a simplified version of this depot system by genetically fusing the bifunctional peptide via a flexible peptide spacer to murine IL4. While human IL4 loses its activity upon C-terminal elongation, murine IL4 is not affected by this modification. The produced murine IL4 fusion protein could be effectively bound to in vitro grown extracellular matrix in presence of TGase. Moreover, the protease-sensitive linker was selectively recognized and cleaved by MMPs, liberating intact and active IL4, although at a slower rate than expected. Murine IL4 offers the advantage to evaluate the bioresponsive cytokine depot in many available mouse models, which was so far not possible with human IL4 due to species selectivity.
For murine IL4, the approach was further extended to systemic delivery in chapter 5. To increase the half-life and specifically target disease sites, we engineered a murine IL4 variant conjugated with a folate-bearing PEG chain for targeting of activated macrophages. The bioactive IL4 conjugate had a high serum stability and the PEGylation increased the half-life to 4 h in vivo. Surprisingly, the folate moiety did not improve targeting in an antigen-induced arthritis (AIA) mouse model. IL4-PEG performed better in targeting the inflamed joint, while IL4-PEG-folate showed stronger accumulation in the liver. Fortunately, the modular nature of the IL4 conjugate facilitates convenient adaption of PEG chain length and the targeting moiety to further improve the half-life and localization of the cytokine.
In summary, this thesis describes a platform technology for the controlled release of cytokines in response to inflammation. By restricting the release of the therapeutic to the site of inflammation, the benefit-risk ratio of this potent class of biologics can be positively influenced. Future research will help to deepen our understanding of how to perfectly combine cytokine, protease-sensitive linker and immobilization tag or targeting moiety to tackle different diseases.
The degradation of poly-adenosine tails of messenger RNAs (mRNAs) in the eukaryotic cells is a determining step in controlling the level of gene expression. The highly conserved Ccr4-Not complex was identified as the major deadenylation complex in all eukaryotic organisms. Plenty of biochemical studies have shown that this complex is also involved in many aspects of the mRNA metabolism, but we are still lacking the detailed structural information about its overall architecture and conformational states that could help to elucidate its multifunction and the way it is coordinated in the cells. Such information can also provide a basis to finding a possible way of intervention since the complex is also involved in some diseases such as cancer and cardiovascular disorders in humans. Meanwhile, the single particle Cryo-EM method has been through a “resolution revolution” recently due to the use of the newly developed direct electron detectors and has since resolved the high-resolution structures of many macromolecular protein complexes in their near-native state. Therefore, it was employed as a suitable method for studying the Ccr4-Not complex here. In this work, the Falcon 3EC direct detector mounted on the 300kV Titan Krios G3i Cryo-EM was evaluated for its practical performance at obtaining high-quality Cryo-EM data from protein samples of different molecular sizes. This served as a proof of principle for this detector’s capabilities and as a data collection guidance for studying the macromolecular complexes, such as the Ccr4-Not, when using an advanced high-performance microscope system. Next, the endogenous yeast Ccr4-Not complex was also purified via the immunoaffinity purification method and evaluated using negative staining EM to assess the conditions of the complex before proceeding to sample preparation for Cryo-EM. This has shown that the complex had an unexpected inherently dynamic property in vitro and extra optimisation procedures were needed to stabilise the complex during the purification and sample preparation. In addition, by using the label-free quantitative Mass spectrometry to examine the coimmunoprecipitated complex via different tagged subunits, it was deduced that two of the subunits (Not3/Not5) that shared some sequence similarity might compete for association with the scaffold subunit of the complex. An uncharacterised protein was also identified coimmunoprecipitating with the Caf130 subunit of the yeast complex. Cryo-EM data from the purified complex provided a low-resolution map that represents a surprisingly smaller partial complex as compared to 3D structures from previous studies, although gel electrophoresis and Mass spectrometry data have identified all of the nine subunits of the Ccr4-Not core complex in the sample. It was concluded that due to the presence of many predicted unstructured regions VI in the subunits and their dynamic composition in solution, the native complex could have been spontaneously denatured at the air/water interface during the sample preparation thus limiting the resolution of the Cryo-EM reconstruction. The purified complex was also examined for its deadenylase and ubiquitin ligase activity by in vitro assays. It was shown that the native complex has a different rate of activity and possibly also a different mode of action compared to the recombinant complexes from other species under similar reaction conditions. The Not4 E3 ligase was also shown to be active in the complex and was likely auto-ubiquitinated in the absence of a substrate. Both types of assays have also shown that the conformational flexibility does not seem to affect the enzymatic reactions when using a chemically crosslinked form of the complex for the assay, which implies that there can be other underlying mechanisms coordinating its structural and functional relationship. The findings from this work have therefore moved our understanding of the Ccr4-Not complex forward by looking at the different structural and functional behaviours of the endogenous complex, especially highlighting the obstacles in sample preparation for the native complex in high-resolution Cryo-EM. This would serve as foundation for future studies on the mechanism of this complex’s catalytic functions and also for optimising the Cryo-EM sample to generate better data that could eventually resolve the structure to a high-resolution.
Neisseria gonorrhoeae are Gram-negative bacteria with diplococcal shape. As an obligate human pathogen, it is the causative agent of gonorrhoea, a sexually transmitted disease. Gonococci colonize a variety of mucosal tissues, mainly the urogenital tract in men and women. Occasionally N. gonorrhoeae invades the bloodstream, leading to disseminated gonococcal infection. These bacteria possess a repertoire of virulence factors, which expression patterns can be adapted to the environmental conditions of the host. Through the accumulation of antibiotic resistances and in absence of vaccines, some neisserial strains have the potential to spread globally and represent a major public health threat. Therefore, it is necessary to understand the exact molecular mechanisms underlying the successful infection and progression of gonococci within their host. This deeper understanding of neisserial infection and survival mechanisms is needed for the development of new therapeutic agents.
In this work, the role of host-cell sphingolipids on the intracellular survival of N. gonorrhoeae was investigated. It was shown that different classes of sphingolipids strongly interact with invasive gonococci in epithelial cells. Therefore, novel and highly specific clickable sphingolipid analogues were applied to study these interactions with this pathogen. The formation of intra- and extracellular sphingosine vesicles, which were able to target gonococci, was observed. This direct interaction led to the uptake and incorporation of sphingosine into the neisserial membrane. Together with in vitro results, sphingosine was identified as a potential bactericidal reagent as part of the host cell defence. By using different classes of sphingolipids and their clickable analogues, essential structural features, which seem to trigger the bacterial uptake, were detected. Furthermore, effects of key enzymes of the sphingolipid signalling pathway were tested in a neutrophil infection model.
In conclusion, the combination of click chemistry and infection biology made it possible to shed some light on the dynamic interplay between cellular sphingosine and N. gonorrhoeae. Thereby, a possible “catch-and-kill” mechanism could have been observed.
This thesis aims to investigate the form-phase diagram of aqueous solutions of the triblock copolymer Pluronic P123 focusing on its high-temperature phases. P123 is based on polyethylene as well as polypropylene oxide blocks and shows a variety of di erent temperaturedependent micelle morphologies or even lyotropic liquid crystal phases in aqueous solutions. Besides the already well-studied spherical aggregates at intermediate temperatures, the size and internal structure of both worm-like and lamellar micelles, which appear near the cloud point, is determined using light, neutron and X-ray scattering. By combining the results of time-resolved dynamic light as well as small-angle neutron and X-ray scattering experiments, the underlying structural changes and kinetics of the sphere-to-worm transition were studied supporting the random fusion process, which is proposed in literature. For temperatures near the cloud point, it was observed that aqueous P123 solutions below the critical crystallization concentration gelate after several hours, which is linked to the presence and structure of polymeric surface layers on the sample container walls as shown by neutron re ectometry
measurements. Using a hierarchical model for the lamellar micelles including their periodicity as well as domain and overall size, it is possible to unify the existing results in literature and propose a direct connection between the near-surface and bulk properties of P123 solutions at temperatures near the cloud point.
Within three self-contained studies, this dissertation studies the impact and interactions between different macroeconomic policy measures in the context of financial markets empirically and quantitatively. The first study of this dissertation sheds light on the financial market effects of unconventional central bank asset purchase programs in the Eurozone, in particular sovereign bond asset purchase programs. The second study quantifies the direct implications of unconventional monetary policy on decisions by German public debt management regarding the maturity structure of gross issuance. The third study provides novel evidence on the role of private credit markets in the propagation of public spending toward private consumption in the U.S. economy. Across these three studies a set of different time-series econometric methods is applied including error correction models and event study frameworks to analyze contemporaneous interactions in financial and macroeconomic data in the context of unconventional monetary policy, as well as vector auto regressions (VARs) and local projections to trace the dynamic consequences of macroeconomic policies over time.
Nucleic acids are one of the important classes of biomolecules together with carbohydrates, proteins and lipids. Both deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) are most well known for their respective roles in the storage and expression of genetic information.
Over the course of the last decades, nucleic acids with a variety of other functions have been discovered in biological organisms or created artificially. Examples of these functional nucleic acids are riboswitches, aptamers and ribozymes. In order to gain information regarding their function, several analytical methods can be used.
Electron paramagnetic resonance (EPR) spectroscopy is one of several techniques which can be used to study nucleic acid structure and dynamics. However, EPR spectroscopy requires unpaired electrons and because nucleic acids themselves are not paramagnetic, the incorporation of spin labels which carry a radical is necessary.
Here, three new spin labels for the analysis of nucleic acids by EPR spectroscopy are presented. All of them share two important design features. First, the paramagnetic center is located at a nitroxide, flanked by ethyl groups to prevent nitroxide degradation, for example during solid phase synthesis. Furthermore, they were designed with rigidity as an important quality, in order to be useful for applications like pulsed electron double resonance (PELDOR) spectroscopy, where independent motion of the spin labels relative to the macromolecule has a noticeable negative effect on the precision of the measurements.
Benzi-spin is a spin label which differs from most previous examples of rigid spin labels in that rather than being based on a canonical nucleoside, with a specific base pairing partner, it is supposed to be a universal nucleoside which is sufficiently rigid for EPR measurements when placed opposite to a number of different nucleosides. Benzi-spin was successfully incorporated into a 20 nt oligonucleotide and its base pairing behavior with seven different nucleosides was examined by UV/VIS thermal denaturation and continuous wave (CW) EPR experiments. The results show only minor differences between the different nucleosides, thus confirming the ability of benzi-spin to act as a universally applicable spin label.
Lumi-spin is derived from lumichrome. It features a rigid scaffold, as well as a free 2'-hydroxy group, which should make it well suited for PELDOR experiments once it is incorporated into RNA oligonucleotides.
EÇr is based on the Ç family of spin labels, which contains the most well known rigid spin labels for nucleic acids to this day. It is essentially a version of EÇm with a free 2'-hydroxy group. It was converted to triphosphate EÇrTP and used for primer extension experiments to test the viability of enzymatic incorporation of rigid spin labels into oligonucleotides as an alternative to solid-phase synthesis. Incorporation into DNA by Therminator III DNA polymerase in both single-nucleotide and full-length primer extensions was achieved.
All three of these spin labels represent further additions to the expanding toolbox of EPR spectroscopy on nucleic acids and might prove valuable for future research.
Squaraine dyes have attracted more attention in the past decade due to their strong and narrow absorption and fluorescence along with the easily functionalized molecular structure. One successful approach of core functionalization is to replace one oxygen of the squaric carbonyl group with a dicyanomethylene group, which shifts the absorption and emission into the near infrared (NIR) region and at the same time leads to a rigid, planar structure with C2v symmetry. However, such squaraines tend to aggregate cofacially in solution due to dispersion forces and dipole-dipole interactions, usually leading to H-type exciton coupling with undesired blue-shifted spectrum and quenched fluorescence. Therefore, the goal of my research was the design of dicyanomethylene-substituted squaraine dyes that self-assemble into extended aggregates in solution with J-type coupling, in order to retain or even enhance their outstanding optical properties. Toward this goal, bis(squaraine) dyes were envisioned with two squaraine units covalently linked to trigger a slip-stacked packing motif within the aggregates to enable J-type coupling.
In my first project, bis(squaraine) dye BisSQ1 was synthesized, in which two dicyanomethylene squaraine chromophores are covalently linked. Concentration and temperature-dependent UV/Vis/NIR spectroscopy experiments reveal that BisSQ1 undergoes cooperative self-assembly resulting in J-type aggregates in a solvent mixture of toluene/1,1,2,2-tetrachloroethane (TCE) (98:2, v/v). The J type exciton coupling is evident from the significantly red shifted absorption maximum at 886 nm and the fluorescence peak at 904 nm. In conclusion, this was a first example to direct squaraine dye aggregation in solution to the more desired slip-stacked packing leading to J-type exciton coupling by simply connecting two dyes in a head-to-tail bis chromophore structure.
Connecting two squaraine dyes with an additional phenylene spacer (BisSQ2) leads to two different polymorphs with very distinct absorption spectra upon cooling down a solution of BisSQ2 in a solvent mixture of toluene/TCE (98:2, v/v) with different rates. Accordingly, rapid cooling resulted in rigid helical nanorods with an absorption spectrum showing a panchromatic feature, while slow cooling led to a sheet-like structure with a significant bathochromic shift in the absorption spectrum.
It was discovered that the conventional molecular exciton model failed to explain the panchromatic absorption features of the nanorods for the given packing arrangement, therefore more profound theoretical investigations based on the Essential States Model (ESM) were applied to unveil the importance of intermolecular charge transfer (ICT) to adequately describe the panchromatic absorption spectrum. Moreover, the red-shift observed in the spectrum for the sheet-like structure can be assigned to the interplay of Coulomb coupling and ICT-mediated coupling.
Furthermore, the same bis-chromophore strategy was adopted for constructing an NIR-II emitter with a bathochromically-shifted spectrum. In chloroform, BisSQ3 exhibits an absorption maximum at 961 nm with a significant bathochromic shift (1020 cm−1) compared to the reference mono-squaraine SQ, indicating intramolecular J-type coupling via head-to-tail arrangement of two squaraine dyes. Moreover, BisSQ3 shows a fluorescence peak at 971 nm with a decent quantum yield of 0.33%. In less polar toluene, BisSQ3 self-assembles into nanofibers with additional intermolecular J-type coupling, causing a pronounced bathochromic shift with absorption maximum at 1095 nm and a fluorescence peak at 1116 nm. Thus, connecting two quinoline-based squaraines in a head-to-tail fashion leads to not only intra-, but also intermolecular J-type exciton coupling, which serves as a promising strategy to shift the absorption and emission of organic fluorophores into the NIR-II window while retaining decent quantum yields.
In conclusion, my research illustrates based on squaraine dyes how a simple modification of the molecular structure can significantly affect the aggregation behavior and further alter the optical properties of dye aggregates. Elongated supramolecular structures based on dicyanomethylene substituted squaraine dyes were successfully established by covalently linking two squaraine units to form a bis-chromophore structure. Then, a simple but efficient general approach was established to direct squaraine dye aggregation in solution to the more desired slip-stacked packing leading to J-type exciton coupling by directly connecting two squaraine dyes in a head-to-tail fashion without spacer units. Moreover, the additional spacer between the squaraine dyes in BisSQ2 allowed different molecular conformations, which leads to two different morphologies depending on the cooling rates for a hot solution. Hence, this is a promising strategy to realize supramolecular polymorphism.
In general, it is expected that the concept of constructing J-aggregates by the bis-chromophore approach can be extended to entirely different classes of dyes since J-aggregates possess a variety of features such as spectral shifts into the NIR window, fluorescence enhancement, and light harvesting, which are commonly observed and utilized for numerous fundamental studies and applications. Moreover, the insights on short-range charge transfer coupling for squaraine dyes is considered of relevance for all materials based on alternating donor-acceptor π-systems. The panchromatic spectral feature is in particular crucial for acceptor-donor-acceptor (ADA) dyes, which are currently considered as very promising materials for the development of bulk heterojunction solar cells.
Our research group focusses on the isolation, structural elucidation, and synthesis of bioactive natural products, among others, the naphthylisoquinoline alkaloids from tropical lianas. This intriguing class of compounds comprises representatives with activities against, e.g. P. falciparum, the cause of Malaria tropica, against the neglected disease leishmaniasis, and, as discovered more recently, against different types of cancer cells. Based on the high potency of theses extraordinary secondary metabolites, this thesis was devoted to the total synthesis of bioactive natural products and closely related analogs.
The cuticle is constituted of the biopolymer cutin and intra- and epicuticular waxes. In some cases, it has epicuticular wax crystals, protruding from the epicuticular wax film. One of the most important tasks is protection against desiccation. Many investigations were conducted to find the transport limiting component of the cuticle. It is evidentially confirmed that the waxes form this barrier. These waxes are multifactorial blends made of very-long-chain aliphatic (VLCA) compounds and triterpenoids (TRP). The VLCAs were proposed to constitute the transpiration barrier to water. However, experimental confirmation was lacking so far. The present study focuses on the development of a method to selectively extract TRPs from the cuticle and the impact of the removal on the transpiration barrier.
The plants deployed in this study exhibited several features. They had no epicuticular crystals on their surfaces, were astomatous, had a rather durable and possibly isolatable cuticle. A broad range of wax compositions was covered from plants with no TRP content and low wax load like Hedera helix and Zamioculcas zamiifolia to plants with high TRP content and high wax load like Nerium oleander. The selective extraction was conducted using a sequence of solvents. TRPs were extracted almost exhaustively from CMs with the first MeOH extract. Only a minor amount of shorter chained VLCAs was obtained. The remaining waxes, consisting mostly of VLCAs and some remnant TRPs, were removed with the following TCM extract.
After the extractions, the water permeance of native cuticular membranes (CM), MeOH extracted (M) and dewaxed cuticular discs (MX) was investigated gravimetrically. Compared to the water permeance of CMs, Ms showed no or only a small increase in water conductance. MXs, however, always showed strongly increased values.
The knowledge about the wax compounds constituting the transport-limiting properties is vital for different projects. For various issues, it would be favourable to have a standardized wax mixture as an initial point of research. It could be used to develop screening procedures to investigate the impact of adjuvants on cuticular waxes or the influence of wax constituents on the properties of cuticular waxes. This work concentrated on the development of an artificial wax mixture, which mimics the physical properties of a plant leaf wax sufficiently.
As target wax, the leaf wax of Schefflera elegantissima was chosen. The wax of this plant species consisted almost exclusively of VLCAs, had a rather simple composition regarding compound classes and chain length distribution and CMs could be isolated. Artificial binary, ternary and quaternary waxes corresponding to the conditions within the plant wax were investigated using differential scanning calorimetry (DSC), X-ray diffraction (XRD) techniques and Fourier-transform infrared (FTIR) spectroscopy. Phase diagrams were mapped out for a series of binary, ternary and quaternary wax mixtures. FTIR experiments were conducted using, ternary and a quaternary artificial wax blends. The blends were chosen to represent the conditions within the wax of the adaxial CM plant wax. The FTIR experiments exhibited an increasing resemblance of the artificial wax to the plant wax (adaxial CM wax) with an increasing number of compounds in the artificial wax. The same trend was found for DSC thermograms. Thermograms of ternary and quaternary blends exhibited more overlapping peaks and occurred in a temperature range more similar to the range of the whole leaf plant wax. The XRD spectrum at room temperature showed good conformity with the quaternary blend.
The current work illustrates a method for selective extraction of TRPs from isolated CMs. It gives direct experimental proof of the association of the water permeance barrier with the VLCA rather than to the TRPs. Furthermore, the possibility to mimic cuticular waxes using commercially available wax compounds is investigated. The results show promising feasibility for its viability, enabling it to perform as a standardized initial point for further research (e.g. to examine the influence of different constituents on waxes), revealing valuable knowledge about the structure and the chemistry-function relationship of cuticular waxes.
This doctoral thesis is part of a research project on the development of the cognitive compre-hension of film at Würzburg University that was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft) between 2013 and 2019 and awarded to Gerhild Nied-ing. That project examined children’s comprehension of narrative text and its development in illustrated versus non-illustrated formats. For this purpose, van Dijk and Kintsch’s (1983) tri-partite model was used, according to which text recipients form text surface and textbase rep-resentations and construct a situation model. In particular, predictions referring to the influ-ence of illustrations on these three levels of text representation were derived from the inte-grated model of text and picture comprehension (ITPC; Schnotz, 2014), which holds that text-picture units are processed on both text-based (descriptive) and picture-based (depictive) paths. Accordingly, illustrations support the construction of a situation model. Moreover, in line with the embodied cognition account (e.g., Barsalou, 1999), it was assumed that the situa-tion model is grounded in perception and action; text recipients mentally simulate the situation addressed in the text through their neural systems related to perception (perceptual simulation) and action (motor resonance). Therefore, the thesis also examines whether perceptual simula-tion takes place during story reception, whether it improves the comprehension of illustrated stories, and whether motor resonance is related to the comprehension of text accompanied by dynamic illustrations. Finally, predictions concerning the development of comprehending illus-trated text were made in line with Springer’s (2001) hypotheses according to which younger children, compared with older children and adults, focus more on illustrations during text comprehension (perceptual boundedness) and use illustrations for the development of cogni-tive skills (perceptual support).
The first research question sought to validate the tripartite model in the context of children’s comprehension of narrative text, so Hypothesis 1 predicted that children yield representations of the text surface, the textbase, and the situation model during text reception. The second research question comprised the assumptions regarding the impact of illustrations on text comprehension. Accordingly, it was expected that illustrations improve the situation model (Hypothesis 2a), especially when they are processed before their corresponding text passages (Hypothesis 2b). Both hypotheses were derived from the ITPC and the assumption that per-ceptual simulation supports the situation model. It was further predicted that dynamic illustra-tions evoke more accurate situation models than static ones (Hypothesis 2c); this followed from the assumption that motor resonance supports the situation model. In line with the ITPC, it was assumed that illustrations impair the textbase (Hypothesis 2d), especially when they are presented after their corresponding text passages (Hypothesis 2e). In accordance with earlier results, it was posited that illustrations have a beneficial effect for the text surface (Hypothesis 2f). The third research question addressed the embodied approach to the situation model. Here, it was assumed that perceptual simulation takes place during text reception (Hypothesis 3a) and that it is more pronounced in illustrated than in non-illustrated text (Hypothesis 3b); the latter hypothesis was related to a necessary premise of the assumption that perceptual sim-ulation improves the comprehension of illustrated text. The fourth research question was relat-ed to perceptual boundedness and perceptual support and predicted age-related differences; younger children were expected to benefit more from illustrations regarding the situation model (Hypothesis 4a) and to simulate vertical object movements in a more pronounced fash-ion (Hypothesis 4b) than older children. In addition, Hypothesis 4c held that perceptual simu-lation is more pronounced in younger children particularly when illustrations are present.
Three experiments were conducted to investigate these hypotheses. Experiment 1 (Seger, Wannagat, & Nieding, submitted).compared the tripartite representations of written text without illustrations, with illustrations presented first, and with illustrations presented after their corresponding sentences. Students between 7 and 13 years old (N = 146) took part. Ex-periment 2 (Seger, Wannagat, & Nieding, 2019) investigated the tripartite representations of auditory text, audiovisual text with static illustrations, and audiovisual text with dynamic il-lustrations among children in the same age range (N = 108). In both experiments, a sentence recognition method similar to that introduced by Schmalhofer and Glavanov (1986) was em-ployed. This method enables the simultaneous measurement of all three text representations. Experiment 3 (Seger, Hauf, & Nieding, 2020) determined the perceptual simulation of vertical object movements during the reception of auditory and audiovisual narrative text among chil-dren between 5 and 11 years old and among adults (N = 190). For this experiment, a picture verification task based on Stanfield and Zwaan’s (2001) paradigm and adapted from Hauf (2016) was used.
The first two experiments confirmed Hypothesis 1, indicating that the tripartite model is appli-cable to the comprehension of auditory and written narrative text among children. A benefi-cial effect of illustrations to the situation model was observed when they were presented syn-chronously with auditory text (Hypotheses 2a), but not when presented asynchronously with written text (Hypothesis 2b), so the ITPC is partly supported on this point. Hypothesis 2c was rejected, indicating that motor resonance does not make an additional contribution to the comprehension of narrative text with dynamic illustrations. Regarding the textbase, a general negative effect of illustrations was not observed (Hypothesis 2d), but a specific negative effect of illustrations that follow their corresponding text passages was seen (Hypothesis 2e); the latter result is also in line with the ITPC. The text surface (Hypothesis 2f) appears to benefit from illustrations in auditory but not written text. The results obtained in Experiment 3 sug-gest that children and adults perceptually simulate vertical object movements (Hypothesis 3a), but there appears to be no difference between auditory and audiovisual text (Hypothesis 3b), so there is no support for a functional relationship between perceptual simulation and the situ-ation model in illustrated text. Hypotheses 4a–4c were investigated in all three experiments and did not receive support in any of them, which indicates that representations of illustrated and non-illustrated narrative text remain stable within the age range examined here.
Significant advances in fluorescence imaging techniques enable life scientists today to gain insights into biological systems at an unprecedented scale. The interpretation of image features in such bioimage datasets and their subsequent quantitative analysis is referred to as bioimage analysis. A substantial proportion of bioimage analyses is still performed manually by a human expert - a tedious process that is long known to be subjective. Particularly in tasks that require the annotation of image features with a low signal-to-noise ratio, like in fluorescence images of tissue samples, the inter-rater agreement drops. However, like any other scientific analysis, also bioimage analysis has to meet the general quality criteria of quantitative research, which are objectivity, reliability, and validity. Thus, the automation of bioimage analysis with computer-aided approaches is highly desirable. Albeit conventional hard-coded algorithms are fully unbiased, a human user has to set its respective feature extraction parameters. Thus, also these approaches can be considered subjective.
Recently, deep learning (DL) has enabled impressive advances in computer vision research. The predominant difference between DL and conventional algorithms is the capability of DL models to learn the respective task on base of an annotated training dataset, instead of following user-defined rules for feature extraction. This thesis hypothesized that DL can be used to increase the objectivity, reliability, and validity of bioimage analyses, thus going beyond mere automation. However, in absence of ground truth annotations, DL models have to be trained on manual and thus subjective annotations, which could cause the model to incorporate such a bias. Moreover, model training is stochastic and even training on the same data could result in models with divergent outputs. Consequently, both the training on subjective annotations and the model-to-model variability could impair the quality of DL-based bioimage analyses. This thesis systematically assessed the impacts of these two limitations experimentally by analyzing fluorescence signals of a protein called cFOS in mouse brain sections. Since the abundance of cFOS correlates with mouse behavior, behavioral analyses could be used for cross-validation of the bioimage analysis results. Furthermore, this thesis showed that pooling the input of multiple human experts during model training and integration of multiple trained models in a model ensemble can mitigate the impact of these limitations. In summary, the present study establishes guidelines for how DL can be used to increase the general quality of bioimage analyses.
The integrity of its DNA is fundamental for every living cell. However, DNA is constantly threatened by exogenous and endogenous damaging agents that can cause a variety of different DNA lesions. The severe consequences of an accumulation of DNA lesions are reflected in cancerogenesis and aging. Several DNA repair mechanisms ensure the repair of DNA lesions and thus maintain DNA integrity. One of these DNA repair mechanisms is nucleotide excision repair (NER), which is famous for its ability to address a large variety of structurally unrelated DNA lesions. A key component of eukaryotic NER is the transcription factor II H (TFIIH) complex, which is not only essential for DNA repair but also for transcription. The TFIIH complex is composed of ten subunits. How these subunits work together during NER to unwind the DNA around the lesion is, however, not yet fully understood. High-resolution structural data and biochemical insights into the function of every subunit are thus indispensable to understand the functional networks within TFIIH. The importance of an intact TFIIH complex is reflected in the severe consequences of patient mutations in the TFIIH subunits XPB, XPD or p8 leading to the hallmark diseases xeroderma pigmentosum, Cockayne syndrome and trichothiodystrophy. Defects in the NER pathway are further associated with several types of cancer including skin cancer.
The herein described work focused on five TFIIH subunits derived from the thermophilic fungus Chaetomium thermophilum, the p34/p44 pair and the ternary XPB/p52/p8 complex. The interaction between p34 and p44 was characterized based on a high-resolution structure of the p34_vWA/p44_RING minimal complex. Biochemical studies of the p34/p44 interaction led to the disclosure of an additional interaction between the p34 and p44 subunits, which had not been characterized so far. The p34/p44 interaction was shown to be central to TFIIH, which justifies the presence of several redundant interfaces to safeguard the interaction between the two proteins and might explain why so far, no patient mutations in these subunits have been identified. The p52 subunit of TFIIH was known to be crucial to stimulate the ATPase activity of XPB, which is required during NER. This work presents the first entire atomic resolution structural characterization of p52, which was derived of several crystal structures of p52 variants and a p52/p8 variant thereby demonstrating the interaction between p52 and p8. The precise structural model of p52 offered the possibility to investigate interactions with other TFIIH subunits in more detail. The middle domain 2 of p52 and the N-terminal domain of XPB were shown to mediate the main interaction between the two subunits. An analysis of the p52 crystal structures within recently published cryo-electron microscopy structures of TFIIH provides a model of how p52 and p8 stimulate the ATPase activity of XPB, which is essential for NER and transcription. The structural and biochemical findings of this work provide an additional building block towards the uncovering of the architecture and function of this essential transcription factor.
Analysis of \(Trypanosoma\) \(brucei\) motility and the infection process in the tsetse fly vector
(2021)
African trypanosomes are protist pathogens that are infective for a wide spectrum of mammalian hosts. Motility has been shown to be essential for their survival and represents an important virulence factor. Trypanosoma brucei is transmitted by the bite of the bloodsucking tsetse fly, the only vector for these parasites. The voyage through the fly is complex and requires several migration, proliferation and differentiation steps, which take place in a defined order and in specific fly tissues.
The first part of this doctoral thesis deals with the establishment of the trypanosome tsetse system as a new model for microswimmer analysis. There is an increasing interdisciplinary interest in microbial motility, but a lack of accessible model systems. Therefore, this work introduces the first enclosed in vivo host parasite system that is suitable for analysis of diverse microswimmer types in specific microenvironments. Several methods were used and adapted to gain unprecedented insights into trypanosome motion, the fly´s interior architecture and the physical interaction between host and parasite. This work provides a detailed overview on trypanosome motile behavior as a function of development in diverse host surroundings. In additional, the potential use of artificial environments is shown. This can be used to partly abstract the complex fly architecture and analyze trypanosome motion in defined nature inspired geometries.
In the second part of the thesis, the infection of the tsetse fly is under investigation. Two different trypanosome forms exist in the blood: proliferative slender cells and cell cycle arrested stumpy cells. Previous literature states that stumpy cells are pre adapted to survive inside the fly, whereas slender cells die shortly after ingestion. However, infection experiments in our laboratory showed that slender cells were also potentially infective. During this work, infections were set up so as to minimize the possibility of stumpy cells being ingested, corroborating the observation that slender cells are able to infect flies. Using live cell microscopy and fluorescent reporter cell lines, a comparative analysis of the early development following infection with either slender or stumpy cells was performed. The experiments showed, for the first time, the survival of slender trypanosomes and their direct differentiation to the procyclic midgut stage, contradicting the current view in the field of research. Therefore, we can shift perspectives in trypanosome biology by proposing a revised life cycle model of T. brucei, where both bloodstream stages are infective for the vector.
Clearly, in nature, but also in technological applications, complex systems built in an entirely ordered and regular fashion are the exception rather than the rule. In this thesis we explore how critical phenomena are influenced by quenched spatial randomness. Specifically, we consider physical systems undergoing a continuous phase transition in the presence of topological disorder, where the underlying structure, on which the system evolves, is given by a non-regular, discrete lattice. We therefore endeavour to achieve a thorough understanding of the interplay between collective dynamics and quenched randomness.
According to the intriguing concept of universality, certain laws emerge from collectively behaving many-body systems at criticality, almost regardless of the precise microscopic realization of interactions in those systems. As a consequence, vastly different phenomena show striking similarities at their respective phase transitions. In this dissertation we pursue the question of whether the universal properties of critical phenomena are preserved when the system is subjected to topological perturbations. For this purpose, we perform numerical simulations of several prototypical systems of statistical physics which show a continuous phase transition. In particular, the equilibrium spin-1/2 Ising model and its generalizations represent -- among other applications -- fairly natural approaches to model magnetism in solids, whereas the non-equilibrium contact process serves as a toy model for percolation in porous media and epidemic spreading. Finally, the Manna sandpile model is strongly related to the concept of self-organized criticality, where a complex dynamic system reaches a critical state without fine-tuning of external variables.
Our results reveal that the prevailing understanding of the influence of topological randomness on critical phenomena is insufficient. In particular, by considering very specific and newly developed lattice structures, we are able to show that -- contrary to the popular opinion -- spatial correlations in the number of interacting neighbours are not a key measure for predicting whether disorder ultimately alters the behaviour of a given critical system.
Cognitive control is what makes goal-directed actions possible. Whenever the environment or our impulses strongly suggests a response that is incompatible with our goals, conflict arises. Such conflicts are believed to cause negative affect. Aversive consequences of conflict may be registered in a conflict monitoring module, which subsequently initiates attentional changes and action tendencies to reduce negative affect. This association suggests that behavioral adaptation might be a reflection of emotion regulation. The theoretical cornerstone of current research on emotion regulation is the process model of emotion regulation, which postulates the regulation strategies situation selection, situation modification, attentional deployment, cognitive change, and response modulation. Under the assumption that conflict adaptation and affect regulation share common mechanisms, I derived several predictions regarding cognitive control from the process model of emotion regulation and tested them in 11 experiments (N = 509). Participants engaged in situation selection towards conflict, but only when they were explicitly pointed to action-outcome contingencies (Experiments 1 to 3). I found support for a mechanism resembling situation modification, but no evidence for a role of affect (Experiments 4 to 10). Changing the evaluation of conflict had no impact on the extent of conflict adaptation (Experiment 11). Overall, there was evidence for an explicit aversiveness of cognitive conflict, but less evidence for implicit aversiveness, suggesting that conflict may trigger affect regulation processes, particularly when people explicitly have affect regulation goals in mind.
Articular cartilage damage caused by sports accidents, trauma or gradual wear and tear can lead to degeneration and the development of osteoarthritis because cartilage tissue has only limited capacity for intrinsic healing. Osteoarthritis causes reduction of mobility and chronic pain and is one of the leading causes of disability in the elderly population. Current clinical treatment options can reduce pain and restore mobility for some time, but the formed repair tissue has mostly inferior functionality compared to healthy articular cartilage and does not last long-term. Articular cartilage tissue engineering is a promising approach for the improvement of the quality of cartilage repair tissue and regeneration. In this thesis, a promising new cell type for articular cartilage tissue engineering, the so-called articular cartilage progenitor cell (ACPC), was investigated for the first time in the two different hydrogels agarose and HA-SH/P(AGE-co-G) in comparison to mesenchymal stromal cells (MSCs). In agarose, ACPCs´ and MSCs´ chondrogenic capacity was investigated under normoxic (21 % oxygen) and hypoxic (2 % oxygen) conditions in monoculture constructs and in zonally layered co-culture constructs with ACPCs in the upper layer and MSCs in the lower layer. In the newly developed hyaluronic acid (HA)-based hydrogel HA-SH/P(AGE-co-G), chondrogenesis of ACPCs and MSCs was also evaluated in monoculture constructs and in zonally layered co-culture constructs like in agarose hydrogel. Additionally, the contribution of the bioactive molecule hyaluronic acid to chondrogenic gene expression of MSCs was investigated in 2D monolayer, 3D pellet and HA-SH hydrogel culture. It was shown that both ACPCs and MSCs could chondrogenically differentiate in agarose and HA-SH/P(AGE-co-G) hydrogels. In agarose hydrogel, ACPCs produced a more articular cartilage-like tissue than MSCs that contained more glycosaminoglycan (GAG), less type I collagen and only little alkaline phosphatase (ALP) activity. Hypoxic conditions did not increase extracellular matrix (ECM) production of ACPCs and MSCs significantly but improved the quality of the neo-cartilage tissue produced by MSCs. The creation of zonal agarose constructs with ACPCs in the upper layer and MSCs in the lower layer led to an ECM production in zonal hydrogels that lay in general in between the ECM production of non-zonal ACPC and MSC hydrogels. Even though zonal co-culture of ACPCs and MSCs did not increase ECM production, the two cell types influenced each other and, for example, modulated the staining intensities of type II and type I collagen in comparison to non-zonal constructs under normoxic and hypoxic conditions. In HA-SH/P(AGE-co-G) hydrogel, MSCs produced more ECM than ACPCs, but the ECM was limited to the pericellular region for both cell types. Zonal HASH/P(AGE-co-G) hydrogels resulted in a native-like zonal distribution of ECM as MSCs in the lower zone produced more ECM than ACPCs in the upper zone. It appeared that chondrogenesis of ACPCs was supported by hydrogels without biological attachment sites such as agarose, and that chondrogenesis of MSCs benefited from hydrogels with biological cues like HA. As HA is an attractive material for cartilage tissue engineering, and the HA-based hydrogel HA-SH/P(AGE-co-G) appeared to be beneficial for MSC chondrogenic differentiation, the contribution of HA to chondrogenic gene expression of MSCs was investigated. An upregulation of chondrogenic gene expression was found in 2D monolayer and 3D pellet culture of MSCs in response to HA supplementation, while gene expression of osteogenic and adipogenic transcription factors was not upregulated. MSCs, encapsulated in a HA-based hydrogel, showed upregulation of gene expression for chondrogenic, osteogenic and adipogenic differentiation markers as well as for stemness markers. In a 3D bioprinting process, using the HA-based hydrogel, gene expression levels of MSCs mostly did not change. Nevertheless, expression of three tested genes (COL2A1, SOX2, CD168) was downregulated in printed in comparison to cast constructs, underscoring the importance of closely monitoring cellular behaviour during and after the printing process. In summary, it was confirmed that ACPCs are a promising cell source for articular cartilage engineering with advantages over MSCs when they were cultured in a suitable hydrogel like agarose. The performance of the cells was strongly dependent on the hydrogel environment they were cultured in. The different chondrogenic performance of ACPCs and MSCs in agarose and HA-SH/P(AGE-co-G) hydrogels highlighted the importance of choosing suitable hydrogels for the different cell types used in articular cartilage tissue engineering. Hydrogels with high polymer content, such as the investigated HA-SH/P(AGE-co-G) hydrogels, can limit ECM distribution to the pericellular area and should be developed further towards less polymer content, leading to more homogenous ECM distribution of the cultured cells. The influence of HA on chondrogenic gene expression and on the balance between differentiation and maintenance of stemness in MSCs was demonstrated. More studies should be performed in the future to further elucidate the signalling functions of HA and the effects of 3D bioprinting in HA-based hydrogels. Taken together, the results of this thesis expand the knowledge in the area of articular cartilage engineering with regard to the rational combination of cell types and hydrogel materials and open up new possible approaches to the regeneration of articular cartilage tissue.
Using Photoionization to Investigate Reactive Boron Species and the Kinetics of Hydrocarbon Radicals
(2021)
This thesis highlights the importance of isomer-selective approaches for the complete analysis of chemical processes. The method of choice is photoelectron/photoion coincidence spectroscopy, which allows simultaneous detection of electrons and ions coming from a single ionization event. Ionization techniques are sensitive and can record multiple species simultaneously, rendering them ideal tools to probe molecular transformations. Coupling these setups to synchrotron radiation allows one to analyze complex mixtures with isomer selectivity, based on ionization energies and vibrational structure in the cation, without any prior separation steps. Only few setups exist that can be used to gather these data, although their impact and applicability is growing steadily in various fields. For closed-shell species an easier and more widely used method is gas-chromatography, but most open shell species would not survive the separation process. Due to the reactivity of radicals they have to be created by selectively converting stable precursor molecules. Depending on the radical generation method different properties can be investigated ranging from thermodynamic data, over concentrations in high temperature environments, to chemical kinetics.
The first part of this thesis deals with the determination of bimolecular rate constants. Isomeric hydrocarbon radicals were generated by a high intense UV light pulses and their kinetics with oxygen was measured. The pressure dependence of different isomers in the falloff region was compared to theoretical models, and their reactivity could be explained.
The second part deals with boron containing compounds in various electronic situations. The corresponding precursors were successfully synthesized or could be bought. They were subjected to fluorine atoms in chemical reactors or destroyed pyrolytically at high temperatures. Most investigated species exhibited vibronic effects that could be elucidated using high level computations.
The development of cellular life on earth is coupled to the formation of lipid-based biological membranes. Although many tools to analyze their biophysical properties already exist, their variety and number is still relatively small compared to the field of protein studies. One reason for this, is their small size and complex assembly into an asymmetric tightly packed lipid bilayer showing characteristics of a two-dimensional heterogenous fluid. Since membranes are capable to form dynamic, nanoscopic domains, enriched in sphingolipids and cholesterol, their detailed investigation is limited to techniques which access information below the diffraction limit of light. In this work, I aimed to extend, optimize and compare three different labeling approaches for sphingolipids and their subsequent analysis by the single-molecule localization microscopy (SMLM) technique direct stochastic optical reconstruction microscopy (dSTORM). First, I applied classical immunofluorescence by immunoglobulin G (IgG) antibody labeling to detect and quantify sphingolipid nanodomains in the plasma membrane of eukaryotic cells. I was able to identify and characterize ceramide-rich platforms (CRPs) with a size of ~ 75nm on the basal and apical membrane of different cell lines. Next, I used click-chemistry to characterize sphingolipid analogs in living and fixed cells. By using a combination of fluorescence microscopy and anisotropy experiments, I analyzed their accessibility and configuration in the plasma membrane, respectively. Azide-modified, short fatty acid side chains, were accessible to membrane impermeable dyes and localized outside the hydrophobic membrane core. In contrast, azide moieties at the end of longer fatty acid side chains were less accessible and conjugated dyes localized deeper within the plasma membrane. By introducing photo-crosslinkable diazirine groups or chemically addressable amine groups, I developed methods to improve their immobilization required for dSTORM. Finally, I harnessed the specific binding characteristics of non-toxic shiga toxin B subunits (STxBs) and cholera toxin B subunits (CTxBs) to label and quantify glycosphingolipid nanodomains in the context of Neisseria meningitidis infection. Under pyhsiological conditions, these glycosphingolipids were distributed homogenously in the plasma membrane but upon bacterial infection CTxB detectable gangliosides accumulated around invasive Neisseria meningitidis. I was able to highlight the importance of cell cycle dependent glycosphingolipid expression for the invasion process. Blocking membrane accessible sugar headgroups by pretreatment with CTxB significantly reduced the number of invasive bacteria which confirmed the importance of gangliosides for bacterial uptake into cells. Based on my results, it can be concluded that labeling of sphingolipids should be carefully optimized depending on the research question and applied microscopy technique. In particular, I was able to develop new tools and protocols which enable the characterization of sphingolipid nanodomains by dSTORM for all three labeling approaches.
G-protein-coupled receptors (GPCRs) regulate diverse physiological processes in the human body and represent prime targets in modern drug discovery. Engagement of different ligands to these membrane-embedded proteins evokes distinct receptor conformational rearrangements that facilitate subsequent receptor-mediated signalling and, ultimately, enable cellular adaptation to altered environmental conditions. Since the early 2000s, the technology of resonance energy transfer (RET) has been exploited to assess these conformational receptor dynamics in living cells and real time. However, to date, these conformational GPCR studies are restricted to single-cell microscopic setups, slowing down the discovery of novel GPCR-directed therapeutics. In this work, we present the development of a novel generalizable high-throughput compatible assay for the direct measurement of GPCR activation and deactivation. By screening a variety of energy partners for fluorescence (FRET) and bioluminescence resonance energy transfer (BRET), we identified a highly sensitive design for an α2A-adrenergic receptor conformational biosensor. This biosensor reports the receptor’s conformational change upon ligand binding in a 96-well plate reader format with the highest signal amplitude obtained so far. We demonstrate the capacity of this sensor prototype to faithfully quantify efficacy and potency of GPCR ligands in intact cells and real time. Furthermore, we confirm its universal applicability by cloning and validating five further equivalent GPCR biosensors. To prove the suitability of this new GPCR assay for screening purposes, we measured the well-accepted Z-factor as a parameter for the assay quality. All tested biosensors show excellent Z-factors indicating outstanding assay quality. Furthermore, we demonstrate that this assay provides excellent throughput and presents low rates of erroneous hit identification (false positives and false negatives). Following this phase of assay development, we utilized these biosensors to understand the mechanism and consequences of the postulated modulation of parathyroid hormone receptor 1 (PTHR1) through receptor activity-modifying protein 2 (RAMP2). We found that RAMP2 desensitizes PTHR1, but not the β2-adrenergic receptor (β2AR), for agonist-induced structural changes. This generalizable sensor design offers the first possibility to upscale conformational GPCR studies, which represents the most direct and unbiased approach to monitor receptor activation and deactivation. Therefore, this novel technology provides substantial advantages over currently established methods for GPCR ligand screening. We feel confident that this technology will aid the discovery of novel types of GPCR ligands, help to identify the endogenous ligands of so-called orphan GPCRs and deepen our understanding of the physiological regulation of GPCR function.
The safety of future spaceflight depends on space surveillance and space traffic management, as the density of objects in Earth orbit has reached a level that requires collision avoidance maneuvers to be performed on a regular basis to avoid a mission or, in the context of human space flight, life-endangering threat. Driven by enhanced sensor systems capable of detecting centimeter-sized debris, megaconstellations and satellite miniaturization, the space debris problem has revealed many parallels to the plastic waste in our oceans, however with much less visibility to the eye. Future catalog sizes are expected to increase drastically, making it even more important to detect potentially dangerous encounters as early as possible.
Due to the limited number of monitoring sensors, continuous observation of all objects is impossible, resulting in the need to predict the orbital paths and their uncertainty via models to perform collision risk assessment and space object catalog maintenance. For many years the uncertainty models used for orbit determination neglected any uncertainty in the astrodynamic force models, thereby implicitly assuming them to be flawless descriptions of the true space environment. This assumption is known to result in overly optimistic uncertainty estimates, which in turn complicate collision risk analysis.
The keynote of this doctoral thesis is to establish uncertainty realism for low Earth orbiting satellites via a physically connected quantification of the dominant force model uncertainties, particularly multiple sources of atmospheric density uncertainty and orbital gravity uncertainty.
The resulting process noise models are subsequently integrated into classical and state of the art orbit determination algorithms. Their positive impact is demonstrated via numerical orbit determination simulations and a collision risk assessment study using all non-restricted objects in the official United States space catalogs. It is shown that the consideration of atmospheric density uncertainty and gravity uncertainty significantly improves the quality of the orbit determination and thus makes a contribution to future spaceflight safety by increasing the reliability of the uncertainty estimates used for collision risk assessment.
The cytokine interleukin-5 (IL-5) is part of the TH2-mediated immune response. As a key regulator of eosinophilic granulocytes (eosinophils), IL-5 controls multiple aspects of eosinophil life. Eosinophils play a pathogenic role in the onset and progression of atopic diseases as well as hypereosinophilic syndrome (HES). Here, cytotoxic proteins and pro-inflammatory mediators stored in intracellular vesicles termed granula are released upon activation thereby causing local inflammation to fight the pathogen. However, if such inflammation persists, tissue damage and organ failure can occur. Due to the close relationship between eosinophils and IL-5 this cytokine has become a major pharmaceutical target for the treatment of atopic diseases or HES. As observed with other cytokines, IL-5 signals by assembling a heterodimeric receptor complex at the cell surface in a stepwise mechanism. In the first step IL-5 binds to its receptor IL-5Rα (CD125). This membrane-located complex then recruits the so-called common beta chain βc (CD131) into a ternary ligand receptor complex, which leads to activation of intracellular signaling cascades. Based on this mechanism various strategies targeting either IL-5 or IL-5Rα have been developed allowing to specifically abrogate IL-5 signaling. In addition to the classical approach of employing neutralizing antibodies against IL 5/IL-5Rα or antagonistic IL-5 variants, two groups comprising small 18 to 30mer peptides have been discovered, that bind to and block IL-5Rα from binding its activating ligand IL-5. Structure-function studies have provided detailed insights into the architecture and interaction of IL-5IL-5Rα and βc. However, structural information for the ternary IL-5 complex as well as IL-5 inhibiting peptides is still lacking.
In this thesis three areas were investigated. Firstly, to obtain insights into the second receptor activation step, i.e. formation of the ternary ligand-receptor complex IL-5•IL-5Rα•βc, a high-yield production for the extracellular domain of βc was established to facilitate structure determination of the ternary ligand receptor assembly by either X-ray crystallography or cryo-electron microscopy.
In a second project structure analysis of the ectodomain of IL-5Rα in its unbound conformation was attempted. Data on IL-5Rα in its ligand-free state would provide important information as to whether the wrench-like shaped ectodomain of IL-5Rα adopts a fixed preformed conformation or whether it is flexible to adapt to its ligand binding partner upon interaction. While crystallization of free IL-5Rα failed, as the crystals obtained did not diffract X rays to high resolution, functional analysis strongly points towards a selection fit binding mechanism for IL-5Rα instead of a rigid and fixed IL-5Rα structure. Hence IL-5 possibly binds to a partially open architecture, which then closes to the known wrench-like architecture. The latter is then stabilized by interactions within the D1-D2 interface resulting in the tight binding of IL-5.
In a third project X-ray structure analysis of a complex of the IL-5 inhibitory peptide AF17121 bound to the ectodomain of IL-5Rα was performed. This novel structure shows how the small cyclic 18mer peptide tightly binds into the wrench-like cleft formed by domains D1 and D2 of IL-5Rα. Due to the partial overlap of its binding site at IL-5Rα with the epitope for IL-5 binding, the peptide blocks IL-5 from access to key residues for binding explaining how the small peptide can effectively compete with the rather large ligand IL-5. While AF17121 and IL-5 seemingly bind to the same site at IL-5Rα, functional studies however showed that recognition and binding of both ligands differ. With the structure for the peptide-receptor complex at hand, peptide design and engineering could be performed to generate AF17121 analogies with enhanced receptor affinity. Several promising positions in the peptide AF17121 could be identified, which could improve inhibition capacity and might serve as a starting point for AF17121-based peptidomimetics that can yield either superior peptide based IL-5 antagonists or small-molecule-based pharmacophores for future therapies of atopic diseases or the hypereosinophilic syndrome.
Objective: Substantia nigra hyperechogenicity is found in children with attention- deficit hyperactivity disorder (ADHD). Research with transcranial sonography (TCS) in adults suggests that echogenic alterations are linked to subclinical behavioral deficits and that brain iron homeostasis is involved in the signal genesis. The purpose of this study was to explore substantia nigra echogenicity in healthy children, to assess age-related changes and to investigate whether echogenic signals relate to subclinical alterations in behavior. Furthermore, associations of central nigral neuromelanin measures and peripheral serum iron parameters to echogenic signals of the substantia nigra were evaluated. Methods: In a multimodal study design, neuroimaging of the substantia nigra was conducted with TCS and neuromelanin-sensitive magnetic resonance imaging (MRI) in 28 healthy children (8 − 12 years). Correlations and multiple regression analyses determined associations between the neuroimaging methods, behavioral data from Strength and Difficulties Questionnaire (SDQ) and serum iron-related parameters. Results: Substantia nigra echogenicity correlated inversely with hyperactivity ratings in healthy, non-ADHD children (r = −.602, p = .001). Echogenic sizes did not change as a function of age. Neuromelanin-sensitive MRI measures of the substantia nigra and peripheral serum iron parameters were not associated with nigral TCS signals. Conclusion: In healthy children behavioral differences in hyperactive tendencies are associated with differences in substantia nigra echogenicity. This could help to identify those children who are at risk of subclinical ADHD.
Within this work, an additive and a subtractive QM/MM interface were implemented into CAST. The interactions between QM and MM system are described via electrostatic embedding. Link atoms are used to saturate dangling bonds originating from the separation of QM and MM system. Available energy evaluation methods to be combined include force fields (OPLSAA and AMBER), semi-empirical programs (Mopac and DFTB+), and quantum-chemical methods (from Gaussian, Orca, and Psi4). Both the additive and the subtractive interface can deal with periodic boundary conditions. The subtractive scheme was extended to enable QM/QM, three-layer, and multi-center calculations. Another feature only available within the subtractive interface is the microiteration procedure for local optimizations.
The novel QM/MM methods were applied to the investigation of the reaction path for the complex formation between rhodesain and K11777. Benchmark calculations show a very good agreement with results from Gaussian-ONIOM. When comparing the relative energies obtained with different options to a computation where the whole system was treated with the “QM method” DFTB3, the electrostatic embedding scheme with option “delM3” gives the best results. “delM3” means that atoms with up to three bonds distance to the QM region are ignored when creating the external charges. This is done in order to avoid a double counting of Coulomb interactions between QM and MM system. The embedding scheme for the inner system in a three-layer calculation, however, does not have a significant influence on the energies. The same is true for the choice of the coupling scheme: Whether the additive or the subtractive QM/MM interface is applied does not alter the results significantly. The choice of the QM region, though, proved to be an important factor. As can be seen from the comparison of two QM systems of different size, bigger is not always better here. Instead, one has to make sure not to separate important (polar) interactions by the QM/MM border.
After this benchmark study with singlepoint calculations, the various possibilities of CAST were used to approximate the solution of a remaining problem: The predicted reaction energy for the formation of the rhodesain-K11777 complex differs significantly depending on the starting point of the reaction path.
The reason for this is assumed to be an inadequate adjustment of the environment during the scans, which leads to a better stabilization of the starting structure in comparison to the final structure. The first approach to improve this adjustment was performing the relaxed scan with a bigger QM region instead of the minimal QM system used before. While the paths starting from the covalent complex do not change significantly, those starting from the non-covalent complex become more exothermic, leading to a higher similarity of the two paths. Nevertheless, the difference of the reaction energy is still around 15 kcal/mol, which is far from a perfect agreement. For this reason, Umbrella Samplings were run. Here, the adjustment of the environment is not done by local optimizations like in the scans, but by MD simulations. This has the advantage that the system can cross barriers and reach different local minima. The relative free energies obtained by Umbrella Samplings with suitable QM regions are nearly identical, independently of the starting point of the calculation. Thus, \(\Delta A\) evaluated by these computations can be assumed to reproduce the real energy change best. An MD simulation that was started from the transition state in order to mimic a “real-time” reaction indicates a very fast adjustment of the environment during the formation of the complex. This confirms that Umbrella Sampling is probably better suitable to describe the reaction path than a scan, where the environment can never move strong enough to leave the current local minimum.
Merkel cell carcinoma (MCC) is a rare and aggressive skin cancer with an increasing incidence. The majority of MCC cases (approximately 80%) are associated with the Merkel cell polyomavirus (MCPyV). This virus encodes for the MCPyV T antigens (small T (sT) and large T (LT)), which are oncoproteins that drive MCC carcinogenesis. However, the precise cells of the skin that are transformed by the T antigens are not known i.e., the cells of origin of MCC are yet to be discovered. Therefore, the first part of this study involved the generation and evaluation of a vector system that could be used to study MCC oncogenesis. To this end, a set of lentiviral vectors was cloned that allows independent, inducible expression of potential key factors in MCC oncogenesis. In addition, a CRISPR/Cas9 knock in was established that allows the coding sequence for a fluorescent protein to be placed under the control of the promoter of KRT20, one of the most crucial markers of MCC. The functionality of this KRT20 reporter was proven in the MCPyV-positive MCC cell line, WaGa. The different inducible vector systems (doxycycline-inducible MCPyV T antigens or MCPyV sT, RheoSwitch-inducible ATOH1 and IPTG-inducible dnMAML1 and GLI1) were found to have different efficacies in various cellular systems and in particular, a considerable reduction in efficiency was observed at times upon the interaction of several vectors in one cell. In the second and more important part of this study, the role of the well-established anti-malarial drug, artesunate, which possesses additional anti-tumor and anti-viral activity, in the treatment of MCPyV-positive MCC was analyzed. In our study, artesunate was found to be cytotoxic towards MCPyV-positive MCC cell lines in vitro and repressed tumor growth in vivo in a mouse model. Artesunate was also found to downregulate T antigen expression, which is critical for the proliferation of MCPyV-positive MCC cells. The repression of T antigen expression, however, was not the sole mechanism of artesunate’s cytotoxic action; instead, the MCPyV-positive MCC cell line, WaGa, was found to be even less sensitive to artesunate after shRNA knockdown of the T antigens. Since loss of membrane integrity occurred more rapidly than degradation/loss of genomic DNA under the influence of artesunate in four of five MCPyV-positive MCC cell lines examined, apoptosis, although widely described as a modus operandi for artesunate, did not appear to be a determinant of the cytotoxicity of artesunate against MCPyV-positive MCC cells. Instead, we were able to demonstrate that artesunate induced the recently described iron-dependent and lipid peroxide-associated form of cell death known as "ferroptosis". This was achieved primarily through the use of inhibitors that can suppress specific individual steps of the ferroptotic process. Thus, artesunate-induced cell death of MCPyV-positive MCC cells could be suppressed by iron chelators and by the inhibition of lipid peroxidation and lysosomal transport. Surprising results were obtained from the analysis of two proteins associated with the ferroptotic process, namely, ferroptosis suppressor protein 1 (FSP1) and tumor suppressor protein p53. Here, we showed that ectopically- 2 expressed FSP1 cannot suppress artesunate-induced ferroptosis in MCPyV-positive MCC cells and that p53 does not play a pro-ferroptotic role in artesunate-induced cell death of MCPyV-positive MCCs. Since artesunate did not suppress the interferon-γ-induced expression of immune-related molecules such as HLA and PD-L1 on the surface of MCPyV-positive MCCs, our study also provided the first positive evidence for its use in combinatorial immunotherapy. Overall, this study showed that artesunate appears to be an effective drug for the treatment of MCPyV-positive MCC and might also be considered for its use in combinatorial MCC immunotherapy in the future.
Inspired by the fact that sufficient solubility in aqueous media can be achieved by functional substitution of perylene bisimides (PBIs) with polar groups, one of the essential aims of this thesis was the design and successful synthesis of the new water-soluble PBI cyclophanes [2PBI]-1m and [2PBI]-1p, which are appended with branched, hydrophilic oligoethylene glycol (OEG) chains. Subsequently, the focus was set on the elucidation of properties of PBI cyclophane hosts which are also of relevance for recognition processes in biological systems. The performance of the new amphiphilic PBI cyclophane [2PBI]-1p as synthetic receptors for various natural aromatic alkaloids in aqueous media was thoroughly investigated. Alkaloids represent a prominent class of ubiquitous nitrogen containing natural compounds with a great structural variety and diverse biological activity. As of yet, no chromophore host acting as a molecular probe for a range of alkaloids such as harmine or harmaline is known. In addition, the self-association behavior of cyclophane host [2PBI]-1m and its reference monomer in water was studied in order to gain insights into the thermodynamic driving forces affecting the self-assembly process of these two PBI systems in aqueous environment. Moreover, the chirality transfer upon guest binding previously observed for a PBI cyclophane was investigated further. The assignment of the underlying mechanism of guest recognition to either the induced fit or conformational selection model was of particular interest.
Bacterial small RNAs are key mediators of post-transcriptional gene regulation. An increasing number of sRNAs have been implicated in the regulation of virulence programs of pathogenic bacteria. Recently, in the enteric pathogen Salmonella Typhimurium, the PinT sRNA has gained increased importance as it is the most upregulated sRNA as Salmonella infects mammalian host cells (Westermann et al., 2016). PinT acts as a temporal regulator of Salmonella‘s two major pathogenicity islands, SPI-1 and SPI-2 (Kim et al., 2019; Westermann et al., 2016). However, the complete set of PinT targets, its role in Salmonella infection and host response is not yet fully understood. Building on the MS2 affinity purification and RNA- seq (MAPS) method (Lalaouna et al., 2015), we here set out to globally identify direct RNA ligands of PinT, relevant to Salmonella infection. We transferred the classical MAPS technique, based on sRNA-bait overexpression, to more physiological conditions, using endogenous levels of the sRNA. Making the henceforth identified targets, less likely to represent artefacts of the overexpression. More importantly, we progressed the MAPS technique to in vivo settings and by doing so, we were able pull-down bacterial RNA transcripts bound by PinT during macrophage infection. While we validate previously known PinT targets, our integrated data revealed novel virulence relevant target. These included mRNAs for the SPI-2 effector SteC, the PhoQ activator UgtL and the 30S ribosomal protein S22 RpsV. Next, we follow up on SteC, the best characterized virulence relevant PinT target. Using genetic and biochemical assays, we demonstrate that PinT represses steC mRNA by direct base-pairing and translational interference. PinT-mediated regulation of SteC leads to alterations in the host response to Salmonella infection. This regulation impacts the cytokine response of infected macrophages, by altering IL10 production, and possibly driving the macrophages to an anti-inflammatory state, more permise to infection. SteC is responsible for F-actin meshwork rearrangements around the SCV (Poh et al., 2008). Here we demonstrate that PinT-mediated regulation of SteC, impacts the formation of this actin meshwork in infected cells. Our results demonstrate that SteC expression is very tightly regulated by PinT in two layers; indirectly, by repressing ssrB and crp; and directly by binding to steC 5’UTR. PinT contributes to post-transcriptional cross-talk between invasion and intracellular replication programs of Salmonella, by controlling the expression of both SPI-1 and SPI-2 genes (directly and indirectly). Together, our collective data makes PinT the first sRNA in Gram-negatives with a pervasive role in virulence, at the center of Salmonella virulence programs and provide molecular input that could help explain the attenuation of pinT-deficient Salmonella strains in whole animal models of infection.
Introduction: Speckle-tracking echocardiography has recently emerged as a quantitative ultrasound technique for accurately evaluating myocardial function by analyzing the motion of speckles identified. Speckle-tracking obtained under stress may offer an opportunity to improve the detection of dynamic regional abnormalities and myocardial viability.
Objective: To evaluate stress speckle tracking as tool to detect myocardial viability in comparison to cardiac MRI in post-STEMI patients.
Methods: 49 patients were prospectively enrolled in our 18-month’s study. Dobutamin stress echocardiography was performed 4 days post-infarction accompanied with automated functional imaging (Speckle tracking) analysis of left ventricle during rest and then during low dose stress. All patients underwent a follow up stress echocardiography at 6 weeks with speckle tracking analysis. Cardiac MRI took place concomitantly at 4 days post-infarction and 6 weeks. We carried out an assessment of re-admission with acute coronary syndrome (ACS) after one year of enrollment.
Results: Investigating strain rate obtained with stress speckle tracking after revascularization predicted the extent of myocardial scar, determined by contrast-enhanced magnetic resonance imaging. A good correlation was found between the global strain and total infarct size (R 0.75, p< 0.001). Furthermore, a clear inverse relationship was found between the segmental strain and the transmural extent of infarction in each segment. (R -0.69, p<0.01). Meanwhile it provided 81.82% sensitivity and 82.6% specificity to detect transmural from non-transmural infarction at a cut-off value of -10.15. Global stress strain rate showed 80% sensitivity and 77.5% specificity at a cut-off value of -9.1 to predict hospital re-admission with ACS. A cut-off value of -8.4 had shown a 69.23% sensitivity and 73.5% specificity to predict the re-admission related to other cardiac symptoms.
Conclusion: Strain rate obtained from speckle tracking during stress is a novel method of detecting myocardial viability after STEMI .Moreover it carries a promising role in post-myocardial infarction risk stratification with a reasonable prediction of reversible cardiac-related hospital re-admission.
Salt formation is a routinely used strategy for poorly water-soluble drugs and traditionally performed with small inorganic counterions. High energy crystal lattices as well as effects on the local pH within the aqueous boundary layer during dissolution drive the increased dissolution rate and apparent solubility. Ionic liquids however, by definition low melting ionic salts with often large organic counterions, combine an increased dissolution rate with solubilization of the drug by the counterion itself. Long lasting supersaturation profiles of increased kinetic solubility were reported for several drugs formulated as ionic liquids increasing their overall bioavailability. Furthermore, aggregation and micellization between highly lipophilic compounds and amphiphilic bile acids was described before, demonstrating the capabilities of the human body itself to utilize solubilization of poorly water-soluble compounds. Development of novel counterions not only tailoring the desired physicochemical properties e.g. dissolution rate of the parent drug but adding – in a best-case scenario synergistic – pharmacological activity has been driven forward in the last years. However, salt formation can only be applied for ionizable i.e. acidic or basic compounds. While co-crystals can be used as a nonionized alternative, their formation is not always successful leading to an urgent need for other formulation strategies. In these lines, development of 2D and 3D printing techniques has been ongoing for the last decades and their pharmaceutical application has been demonstrated. The versatile nature and commercial availability allow a decentralized production further elaborating this technique for a highly flexible and patient-oriented supply with medication.
This thesis focuses on the theoretical background and potential application of salt formation in the pharmaceutical development of a drug candidate. The first section presents the current knowledge and state of the art in preparation of low melting ionic liquids i.e. salts and is translated to the in vitro investigation of molecular interaction between the poorly water-soluble drug imatinib and components of the human intestinal fluid in the second section. Development of novel antibiotic counterions and assessment of their potential use in pharmaceutical formulations with fluoroquinolones is described in the last two sections.
Chapter I describes the application of low melting ionic liquids in pharmaceutical formulation and details their development in the last two decades from versatile organic solvents in chemical synthesis towards amorphous strategies for drug delivery. The chapter gives a general overview on molecular structure and physicochemical properties of several drug containing ionic liquids and details the mechanisms which attribute to a typically fast dissolution, increased aqueous solubility as well as enhanced permeation which was reported in several publications.
Chapter II translates the increased aqueous solubility of drugs by an organic counterion to the human gastrointestinal tract with taurocholate and lecithin as main drivers for the solubilization of highly lipophilic and poorly water-soluble drugs. Investigation of the interaction of imatinib – a poorly water-soluble weak base – with fasted- and fed state simulated intestinal fluids revealed a complex interplay between the components of the intestinal fluid and the drug. Mixed vesicles and micelles were observed in concentration dependent aggregation assays and revealed differences in their size, molecular arrangement as well as composition, depending on the tested drug concentration. Overall, the study outlines the effective interaction of weakly basic drugs with taurocholate and lecithin to minimize recrystallization during intestine passage finally leading to favorable supersaturation profiles.
Chapter III focuses on the development of novel antibiotic counterions which potentially move the evolution of ionic liquids from a pharmaceutical salt with tailored physicochemical properties to a synergistic combination of two active pharmaceutical ingredients. The natural occurring anacardic acid derived from the cashew nut shell inspired a series of antibacterial active acidic compounds with increasing alkyl chain length. Their physicochemical properties, antibacterial activity, bacterial biofilm inhibition and cytotoxicity were detailed and in vivo activity in a Galleria mellonella model was assessed. This group of anacardic acid derivatives is synthetically accessible, easily modifiable and yielded two compounds with favorable activity and physicochemical profile for further drug development.
Chapter IV outlines the potential application of anacardic acid derivatives in pharmaceutical formulations by salt formation with fluoroquinolone antibiotics as well as novel techniques such as 2D/3D printing for preparation of drug imprinted products. Despite anacardic acid derivatives demonstrated promising physicochemical properties, salt formation with fluoroquinolone antibiotics was not feasible. However, 2D/3D printed samples with anacardic acid derivative alone or in combination with ciprofloxacin demonstrated physical compatibility between drug and matrix as well as antibacterial activity against three S. aureus strains in an agar diffusion assay. Conclusively, drug printing can be applied for the herein tested compounds, but further process development is necessary.
In summary, preparation of low melting ionic liquids, salts or co-crystals is an appropriate strategy to increase the aqueous solubility of poorly water-soluble drugs and tailor physicochemical properties. The counterion itself solubilizes the drug and furthermore potentially interferes with the complex micellar environment in the human intestine. However, salt formation as routinely used formulation strategy is not feasible in every case and development of alternative techniques is crucial to hurdle challenges related to unfavorable physicochemical properties. The outlined techniques for 2D/3D drug printing provide versatile production of drug products while extending the design space for novel drug development.
Ciliary neurotrophic factor (Cntf) acts as a differentiation and survival factor for different types of neurons and glial cells. It is expressed by peripheral Schwann cells and astrocytes in the central nervous system and mediates its effects via a receptor complex involving CntfRα, LifRß and gp130, leading to downstream activation of Stat3. Recent studies by our group have shown that Cntf modulates neuronal microtubule dynamics via Stat3/stathmin interaction. In a mouse model for motor neuron disease, i.e. pmn, Cntf is able to rescue axonal degeneration through Stat3/stathmin signaling. While these findings suggest a role of Cntf in controlling axonal functions in the neuromuscular system, additional data indicate that Cntf might also play a role in synaptic plasticity in the hippocampus. Electrophysiological recordings in hippocampal organotypic cultures and acute slices revealed a deficit in long-term potentiation (LTP) in Cntf -/- mice. This deficit was rescued by 24 h stimulation with Cntf, combined with an acute application of Cntf during LTP-measurements indicating that Cntf is both necessary and sufficient for hippocampal LTP, and possibly synaptic plasticity. Therefore, Cntf knockout mice were investigated to elucidate this possible role of Cntf in hippocampal LTP and synaptic plasticity.
First, we validated the presence of Cntf in the target tissue: in the hippocampus, Cntf was localized in Gfap-positive astrocytes surrounding small blood vessels in the fissure and in meningeal areas close to the dentate gyrus. Laser micro-dissection and qPCR analysis showed a similar distribution of Cntf-coding mRNA validating the obtained immunofluorescent results. Despite the strong LTP deficit in organotypic cultures, in vivo behavior of Cntf -/- mice regarding hippocampus-dependent learning and anxiety-related paradigms was largely inconspicuous. However, western blot analysis of hippocampal organotypic cultures revealed a significant reduction of pStat3 levels in Cntf -/- cultures under baseline conditions, which in turn were elevated upon Cntf stimulation. In order to resolve and examine synaptic structures we turned to in vitro analysis of cultured hippocampal neurons which indicated that pStat3 is predominantly located in the presynapse. In line with these findings, presynapses of Cntf -/- cultures were reduced in size and when in contact to astrocytes, contained less pStat3 immunoreactivity compared to presynapses in wildtype cultures.
In conclusion, our findings hypothesize that despite of a largely inconspicuous behavioral phenotype of Cntf -/- mice, Cntf appears to have an influence on pStat3 levels at hippocampal synapses. In a next step these two key questions need to be addressed experimentally: 1) is there a compensatory mechanism by members of the Cntf family, possibly downstream of pStat3, which explains the in vivo behavioral results of Cntf -/- mice and can likewise account for the largely inconspicuous phenotype in CNTF-deficient humans? 2) How exactly does Cntf influence LTP through Stat3 signaling? To unravel the underlying mechanism further experiments should therefore investigate whether microtubule dynamics downstream of Stat3 and stathmin signaling are involved in the Cntf-induced modulation of hippocampal synaptic plasticity, similar to as it was shown in motoneurons.
Nutrition facts of pollen: nutritional quality and how it affects reception and perception in bees
(2021)
Nutrients belong to the key elements enabling life and influencing an organism’s fitness. The intake of nutrients in the right amounts and ratios can increase fitness; strong deviations from the optimal intake target can decrease fitness. Hence, the ability to assess the nutritional profile of food would benefit animals. To achieve this, they need the according nutrient receptors, the ability to interpret the receptor information via perceptive mechanisms, and the ability to adjust their foraging behavior accordingly. Additionally, eventually existing correlations between the nutrient groups and single nutrient compounds in food could help them to achieve this adjustment. A prominent interaction between food and consumer is the interaction between flowering plants (angiosperms) and animal pollinators. Usually both of the interacting partners benefit from this mutualistic interaction. Plants are pollinated while pollinators get a (most of the times) nutritional reward in form of nectar and/or pollen. As similar interactions between plants and animals seem to have existed even before the emergence of angiosperms, these interactions between insects and angiosperms very likely have co-evolved right from their evolutionary origin. Therefore, insect pollinators with the ability to assess the nutritional profile may have shaped the nutritional profile of plant species depending on them for their reproduction via selection pressure. In Chapter I of this thesis the pollen nutritional profile of many plant species was analyzed in the context of their phylogeny and their dependence on insect pollinators. In addition, correlations between the nutrients were investigated. While the impact of phylogeny on the pollen protein content was little, the mutual outcome of both of the studies included in this chapter is that protein content of pollen is mostly influenced by the plant’s dependence on insect pollinators. Several correlations found between nutrients within and between the nutrient groups could additionally help the pollinators to assess the nutrient profile of pollen. An important prerequisite for this assessment would be that the pollinators are able to differentiate between pollen of different plant species. Therefore, in Chapter II it was investigated whether bees have this ability. Specifically, it was investigated whether honeybees are able to differentiate between pollen of two different, but closely related plant species and whether bumblebees prefer one out of three pollen mixes, when they were fed with only one of them as larvae. Honeybees indeed were able to differentiate between the pollen species and bumblebees preferred one of the pollen mixes to the pollen mix they were fed as larvae, possibly due to its nutritional content. Therefore, the basis for pollen nutrient assessment is given in bees. However, there also was a slight preference for the pollen fed as larvae compared to another non-preferred pollen mix, at least hinting at the retention of larval memory in adult bumblebees. Chapter III looks into nutrient perception of bumblebees more in detail. Here it was shown that they are principally able to perceive amino acids and differentiate between them as well as different concentrations of the same amino acid. However, they do not seem to be able to assess the amino acid content in pollen or do not focus on it, but instead seem to focus on fatty acids, for which they could not only perceive concentration differences, but also were able to differentiate between. These findings were supported by feeding experiments in which the bumblebees did not prefer any of the pollen diets containing less or more amino acids but preferred pollen with less fatty acids. In no choice feeding experiments, bumblebees receiving a diet with high fatty acid content accepted undereating other nutrients instead of overeating fat, leading to increased mortality and the inability to reproduce. Hence, the importance of fat in pollen needs to be looked into further. In conclusion, this thesis shows that the co-evolution of flowering plants and pollinating insects could be even more pronounced than thought before. Insects do not only pressure the plants to produce high quality nectar, but also pressure those plants depending on insect pollination to produce high quality pollen. The reason could be the insects’ ability to receive and perceive certain nutrients, which enables them to forage selectively leading to a higher reproductive success of plants with a pollinator-suitable nutritional pollen profile.
In several countries, a decline in mortality, case-fatality and recurrence rates of stroke was observed. However, studies investigating sex-specific and subtype-specific (pathological and etiological) time trends in stroke mortality, case-fatality and recurrence rates are scarce, especially in Germany. The decline in ischemic stroke mortality and case-fatality might be associated with the high quality of acute care of ischemic stroke, but the exact determinants of early outcome remains unknown for Germany.
Therefore, as first step of this thesis, we investigated the time trends of subtype- and sex-specific age- standardized stroke mortality rates in Germany from 1998 to 2015, by applying joinpoint regression on official causes of death statistics, provided by the Federal Statistical Office. Furthermore, a regional comparison of the time trends in stroke mortality between East and West was conducted. In the second step, time trends in case-fatality and stroke recurrence rates were analyzed using data from a population- based stroke register in Germany between 1996 and 2015. The analysis was stratified by sex and etiological subtype of ischemic stroke. In the third step, quality of stroke care and the association between adherence to measures of quality of acute ischemic stroke care and in-hospital mortality was estimated based on data from nine regional hospital-based stroke registers in Germany from the years 2015 and 2016.
We showed that in Germany, age-standardized stroke mortality declined by over 50% from 1998 to 2015 both, in women and men. Stratified by the pathological subtypes of stroke, the decrease in mortality was larger in ischemic stroke compared to hemorrhagic stroke. Different patterns in the time trends of stroke were observed for stroke subtypes, regions in Germany (former Eastern part of Germany (EG), former Western part of Germany (WG)) and sex, but in all strata a decline was found. By applying joinpoint regression, the number of changes in time trend differed between the regions and up to three changes in the trend in ischemic stroke mortality were detected. Trends in hemorrhagic stroke were in parallel between the regions with up to one change (in women) in joinpoint regression. Comparing the regions, stroke mortality was higher in EG compared to WG throughout the whole observed time period, however the differences between the regions started to diminish from 2007 onwards.
Further it was found that, based on the population-based Erlangen Stroke Project (ESPro), case-fatality and recurrence rates in ischemic stroke patients are still high in Germany. 46% died and 20% got a recurrent stroke within the first five years after stroke. Case-fatality rates declined statistically significant from 1996 to 2015 across all ischemic stroke patients and all etiological subtypes of ischemic stroke. Based on Cox regression no statistically significant decrease in stroke recurrence was observed.
Based on the pooled data of nine regional hospital-based stroke registers from the years 2015 and 2016 covering about 80% of all hospitalized stroke patients in Germany, a high quality of care of acute ischemic stroke patients, measured via 11 evidence-based quality indicators (QI) of process of care, was observed. Across all registers, most QI reached the predefined target values for good quality of stroke care. 9 out of 11 QI showed a significant association with 7-day in-hospital mortality. An inverse linear association between overall adherence to QI and 7-day in-hospital mortality was observed.
In conclusion, stroke mortality and case-fatality showed a favorable development over time in Germany, which might partly be due to improvements in acute treatment. This is supported by the association between overall adherence to quality of care and in-hospital mortality. However, there might be room for improvements in long-term secondary prevention, as no clear reduction in recurrence rates was observed.
Neuroblastoma is the most abundant, solid, extracranial tumor in early childhood and the leading cause of cancer-related childhood deaths worldwide. Patients with high-risk neuroblastoma often show MYCN-amplification and elevated levels of Aurora-A. They have a low overall survival and despite multimodal therapy options a poor therapeutic prognosis. MYCN-amplified neuroblastoma cells depend on Aurora-A functionality. Aurora-A stabilizes MYCN and prevents it from proteasomal degradation by competing with the E3 ligase SCFFBXW7. Interaction between Aurora-A and MYCN can be observed only in S phase of the cell cycle and activation of Aurora-A can be induced by MYCN in vitro. These findings suggest the existence of a profound interconnection between Aurora-A and MYCN in S phase. Nevertheless, the details remain elusive and were investigated in this study.
Fractionation experiments show that Aurora-A is recruited to chromatin in S phase in a MYCN-dependent manner. Albeit being unphosphorylated on the activating T288 residue, Aurora-A kinase activity was still present in S phase and several putative, novel targets were identified by phosphoproteomic analysis. Particularly, eight phosphosites dependent on MYCN-activated Aurora-A were identified. Additionally, phosphorylation of serine 10 on histone 3 was verified as a target of this complex in S phase. ChIP-sequencing experiments reveal that Aurora-A regulates transcription elongation as well as histone H3.3 variant incorporation in S phase. 4sU-sequencing as well as immunoblotting demonstrated that Aurora-A activity impacts splicing. PLA measurements between the transcription and replication machinery revealed that Aurora-A prevents the formation of transcription-replication conflicts, which activate of kinase ATR.
Aurora-A inhibitors are already used to treat neuroblastoma but display dose-limiting toxicity. To further improve Aurora-A based therapies, we investigated whether low doses of Aurora-A inhibitor combined with ATR inhibitor could increase the efficacy of the treatment albeit reducing toxicity. The study shows that the combination of both drugs leads to a reduction in cell growth as well as an increase in apoptosis in MYCN-amplified neuroblastoma cells, which is not observable in MYCN non-amplified neuroblastoma cells. This new approach was also tested by a collaboration partner in vivo resulting in a decrease in tumor burden, an increase in overall survival and a cure of 25% of TH-MYCN mice. These findings indicate indeed a therapeutic window for targeting MYCN-amplified neuroblastoma.
Temporal development of communities with a focus on insects, in time series of one to four decades
(2021)
Changes and development are fundamental principles in biocenoses and can affect a multitude of ecological processes. In insect communities phenological and density changes, changes in species richness and community composition, as well as interactions between those changes, are the most important macro processes. However, climate change and other factors like habitat degradation and loss alter these processes leading to shifts and general biodiversity declines. Even though knowledge about insect decline in central Europe increased during the last decades, there are significant knowledge gaps about the development of insect communities in certain habitats and taxa. For example, insect communities in small lentic as well as in forested habitats are under-sampled and reported to be less endangered than communities in other habitats. Furthermore, the changes within habitats and taxa are additionally influenced by certain traits, like host or feeding specialization. To disentangle these influences and to increase the knowledge about the general long-term development of insect communities, comprehensive long-term monitoring studies are needed. In addition, long-term effects of conservation strategies should also be evaluated on large time scales in order to be able to decide on a scientific base which strategies are effective in promoting possibly declining taxa. Hence, this thesis also tackles the effects of an integrative conservation strategy on wood dependent beetle and fungi, beside the development of water beetle and macro moth communities over multiple decades. In Chapter 2 I present a study on the development of water beetle communities (Dytiscidae, Haliplidae, Noteridae) in 33 water bodies in Southern Germany from 1991 to 2018. Time-standardized capture per waterbody was used during three periods: between 1991 and 1995, 2007 and 2008, and 2017 and 2018. Results showed annual declines in both species number (ca. -1%) and abundance (ca. -2%). In addition, community composition shifted over time in part due to changing pH values. Hence, the recorded changes during the 28-year study period partly reflect natural succession processes. However, since also moor-related beetle species decreased significantly, it is likely that water beetles in southern Germany are also threatened by non-successional factors, including desiccation, increased nitrogen input and/or mineralization, as well as the loss of specific habitats. The results suggest, that in small to midsize lentic waterbodies, current development should aim for constant creation of new water bodies and protection of moor waterbodies in order to protect water beetle communities on a landscape scale. In Chapter 3 I present an analysis of the development of nocturnal macro moth species richness, abundance and biomass over four decades in forests of southern Germany. Two local scale data sets featuring a coppiced oak forest as well as an oak high forest were analysed separately from a regional data set representing all forest types in the temperate zone of Central Europe. At the regional scale species richness, abundance and biomass showed annual declines of ca. 1 %, 1.3 % and 1.4 %, respectively. These declines were more pronounced in plant host specialists and in dark coloured species. In contrast, species richness increased by ca. 1.5 % annually in the coppiced forest, while no significant trends were found in the high forest. In contrast to past assumptions, insect decline apparently affects also hyper diverse insect groups in forests. Since host specialists and dark coloured species were affected more heavily by the decline than other groups, habitat loss and climate change seem to be potential drivers of the observed trends. However, the positive development of species richness in the coppiced oak forest indicates that maintaining complex and diverse forest ecosystems through active management might compensate for negative trends in biodiversity. Chapter 4 features a study specifically aiming to investigate the long-term effect of deadwood enrichment as an integrative conservation strategy on saproxylic beetles and fungi in a central European beech forest at a landscape scale. A before–after control–impact design, was used to compare assemblages and gamma diversities of saproxylic organisms (beetles and fungi) in strictly protected old-growth forest areas (reserves) and previously moderately and intensively managed forest areas. Forests were sampled one year before and a decade after starting a landscape-wide strategy of dead-wood enrichment. Ten years after the start of the dead-wood enrichment, neither gamma diversities of saproxylic organisms nor species composition of beetles did reflect the previous management types anymore. However, fungal species composition still mirrored the previous management gradient. The results demonstrated that intentional enrichment of dead wood at the landscape scale can effectively restore communities of saproxylic organisms and may thus be a suitable strategy in addition to permanent strict reserves in order to protect wood dependent organisms in Europe. In this thesis I showed, that in contrast to what was assumed and partly reported so far, also water beetles in lentic water bodies and macro moths in forests decreased in species richness, abundance and biomass during the last three to four decades. In line with earlier studies, especially dark coloured species and specialists decreased more than light-coloured species and generalists. The reasons for these declines could partly be attributed to natural processes and pollution and possibly to climate change. However, further studies, especially experimental ones, will be needed to achieve a better understanding of the reasons for insect decline. Furthermore, analyses of time series data should be interpreted cautiously especially if the number of sampling years is smaller than ten years. In addition, validation techniques such as left- and right- censoring and cross validation should be used in order to proof the robustness of the analyses. However, the lack of knowledge, we are still facing today, should not prevent scientists and practitioners from applying conservation measures. In order to prove the effectiveness of such measures, long-term monitoring is crucial. Such control of success is essential for evidence based and thus adapted conservation strategies of threatened organisms.
In the course of this work, a total of three photocatalytically active dyads for proton reduction could be synthesized together with the associated individual components. Two of them, D1 and D2, comprised a [Ru(bpy)3]2+ photosensitizer and D3 an [Ir(ppy)2bpy]+ photosensitizer. A Ppyr3-substituted propyldithiolate [FeFe] complex was used as catalyst in all systems. The absorption spectroscopic and electrochemical investigations showed that an inner-dyadic electronic coupling is effectively prevented in the dyads due to conjugation blockers within the bridging units used. The photocatalytic investigations exhibited that all dyad containing two-component systems (2CS) showed a significantly worse performance than the corresponding bimolecular three-component systems (3CS). Transient absorption spectroscopy showed that the 2CS behave very similarly to the associated multicomponent systems during photocatalysis. The electron that was intended for the intramolecular transfer from the photosensitizer unit to the catalyst unit within the dyads remains at the photosensitizer for a relatively long time, analogous to the 3CS and despite the covalently bound catalyst. It is therefore assumed that this intramolecular electron transfer is likely to be hindered as a result of the weak electronic coupling caused by the bridge units used. Instead, the system bypasses this through an intermolecular transfer to other dyad molecules in the immediate vicinity. In addition, with the help of emission quenching experiments and electrochemical investigations, it could be clearly concluded that all investigated systems proceed via the reductive quenching mechanism during photocatalysis.
Industrially used semiconducting materials, building blocks of modern electronics and computer industry, are mostly based on inorganic, crystalline solids, which have the drawback of relatively high production costs. As an alternative, organic pi-conjugated systems show enhanced flexibility and processability as well as the opportunity to obtain light-weight materials. They have emerged as attractive candidates, especially since elements beyond hydrogen and carbon can be used to create pi-conjugated frameworks. In recent years, pi-conjugated oligomers and polymers with tricoordinate boron centers incorporated into the main chain of such organic polymers have attracted considerable attention as the interaction of the vacant p orbital on boron with an adjacent pi system of the chain leads to extended conjugated materials. These materials show intriguing optical and electronic properties and potential applications in organic electronics and optoelectronics (OLEDs, OFETs, photovoltaics) or as sensory materials.
In this thesis, a catalytic Si/B exchange reaction protocol is used as a facile and highly effective B-C bond formation method to synthesize organoboron molecules, oligomers, polymers and macrocycles. This reaction is applied to synthesize a series of thienyl- and furylborane based materials. Special focus is on furylborane based materials, which, in general, have been only scarcely explored so far. This is mainly due to synthetic challenges since furan decomposes readily in the presence of light and oxygen. Our mild and highly selective reaction protocol in combination with sufficient kinetic protection of the boron centers gives access to a series of extended organoboranes featuring furylborane units in the main chain. Furthermore, kinetically stabilized furylboranes are established as highly robust and versatile building blocks for pi conjugated materials. The obtained materials reveal remarkable luminescence properties. The scope of potential starting materials was investigated by a catalyst screening, demonstrating that the Si/B exchange reaction can also be performed for less reactive aryldichloroboranes. Furthermore, borazine-based hybrid cyclomatrix microspheres have been synthesized via a Si/B exchange condensation reaction under precipitation polymerization conditions. Finally, synthetic routes to tetrabora- and diboraporphyrinogens were attempted in a multi-step reaction procedure. In the case for tetraboraporphyrinogens, the final macrocyclization reaction under pseudo high-dilution conditions afforded a mixture of macrocycles with different ring sizes. UV-vis and fluorescence spectroscopic analysis indicated significant differences in comparison to their linear congeners.
Humans use their eyes not only as visual input devices to perceive the environment, but also as an action tool in order to generate intended effects in their environment. For instance, glances are used to direct someone else's attention to a place of interest, indicating that gaze control is an important part of social communication. Previous research on gaze control in a social context mainly focused on the gaze recipient by asking how humans respond to perceived gaze (gaze cueing). So far, this perspective has hardly considered the actor’s point of view by neglecting to investigate what mental processes are involved when actors decide to perform an eye movement to trigger a gaze response in another person. Furthermore, eye movements are also used to affect the non-social environment, for instance when unlocking the smartphone with the help of the eyes. This and other observations demonstrate the necessity to consider gaze control in contexts other than social communication whilst at the same time focusing on commonalities and differences inherent to the nature of a social (vs. non-social) action context. Thus, the present work explores the cognitive mechanisms that control such goal-oriented eye movements in both social and non-social contexts.
The experiments presented throughout this work are built on pre-established paradigms from both the oculomotor research domain and from basic cognitive psychology. These paradigms are based on the principle of ideomotor action control, which provides an explanatory framework for understanding how goal-oriented, intentional actions come into being. The ideomotor idea suggests that humans acquire associations between their actions and the resulting effects, which can be accessed in a bi-directional manner: Actions can trigger anticipations of their effects, but the anticipated resulting effects can also trigger the associated actions. According to ideomotor theory, action generation involves the mental anticipation of the intended effect (i.e., the action goal) to activate the associated motor pattern. The present experiments involve situations where participants control the gaze of a virtual face via their eye movements. The triggered gaze responses of the virtual face are consistent to the participant’s eye movements, representing visual action effects. Experimental situations are varied with respect to determinants of action-effect learning (e.g., contingency, contiguity, action mode during acquisition) in order to unravel the underlying dynamics of oculomotor control in these situations. In addition to faces, conditions involving changes in non-social objects were included to address the question of whether mechanisms underlying gaze control differ for social versus non-social context situations.
The results of the present work can be summarized into three major findings. 1. My data suggest that humans indeed acquire bi-directional associations between their eye movements and the subsequently perceived gaze response of another person, which in turn affect oculomotor action control via the anticipation of the intended effects. The observed results show for the first time that eye movements in a gaze-interaction scenario are represented in terms of their gaze response in others. This observation is in line with the ideomotor theory of action control. 2. The present series of experiments confirms and extends pioneering results of Huestegge and Kreutzfeldt (2012) with respect to the significant influence of action effects in gaze control. I have shown that the results of Huestegge and Kreutzfeldt (2012) can be replicated across different contexts with different stimulus material given that the perceived action effects were sufficiently salient. 3. Furthermore, I could show that mechanisms of gaze control in a social gaze-interaction context do not appear to be qualitatively different from those in a non-social context.
All in all, the results support recent theoretical claims emphasizing the role of anticipation-based action control in social interaction. Moreover, my results suggest that anticipation-based gaze control in a social context is based on the same general psychological mechanisms as ideomotor gaze control, and thus should be considered as an integral part rather than as a special form of ideomotor gaze control.
In summary, the wave-CAIPI k-space trajectory presents an efficient sampling strategy for accelerated MR acquisitions. Using wave-CAIPI in parallel imaging reconstructions leads to a reduced noise level in the reconstructed images, compared to the Cartesian standard trajectory. This effect could be quantified by means of noise and SNR calculations. An SNR gain can be traded for a reduced scan time, i.e., additional undersampling, or for an enhanced image quality, keeping scan time constant.
Acceleration of MR imaging is especially important in dynamic applications, since these examinations are inherently time-consuming. The impact of wave-CAIPI sampling on image quality and its potential for scan time reduction was investigated for two dynamic applications: self-gated dynamic 3D lung MRI during free breathing and cardiac 4D flow MRI.
Dynamic 3D Lung MRI
By employing wave-CAIPI sampling in self-gated, free-breathing dynamic 3D lung MRI for the purpose of radiotherapy treatment planning, the image quality of accelerated scans could be enhanced. Volunteer examinations were used to quantify image quality by means of similarity between accelerated and reference images. To this end, the normalized mutual information and the root-mean-square error were chosen as quantitative image similarity measures.
The wave-CAIPI sampling was shown to exhibit superior quality, especially for short scan times. The values of the normalized mutual information were (10.2 +- 7.3)% higher in the wave-CAIPI case -- the root-mean-square error was (18.9 +- 13.2)% lower on average. SNR calculations suggest an average SNR benefit of around 14% for the wave-CAIPI, compared to Cartesian sampling.
Resolution of the lung in 8 breathing states can be achieved in only 2 minutes. By using the wave-CAIPI k-space trajectory, precise tumor delineation and assessment of respiration-induced displacement is facilitated.
Cardiac 4D Flow MRI
In 4D flow MRI, acceleration of the image acquisition is essential to incorporate the corresponding scan protocols into clinical routine. In this work, a retrospective 6-fold acceleration of the image acquisition was realized. Cartesian and wave-CAIPI 4D flow examinations of healthy volunteers were used to quantify uncertainties in flow parameters for the respective sampling schemes.
By employing wave-CAIPI sampling, the estimated errors in flow parameters in 6-fold accelerated scans could be reduced by up to 55%. Noise calculations showed that the noise level in 6-fold accelerated 4D flow acquisitions with wave-CAIPI is 43% lower, compared to Cartesian sampling. Comparisons between Cartesian and wave-CAIPI 4D flow examinations with a prospective acceleration factor R=2 revealed small, but partly statistically significant discrepancies. Differences between 2-fold and 6-fold accelerated wave-CAIPI scans are comparable to the differences between Cartesian and wave-CAIPI examinations at R=2.
Wave-CAIPI 4D flow acquisitions of the aorta could be performed with an average, simulated scan time of under 4 minutes, with reduced uncertainties in flow parameters. Important visualizations of hemodynamic flow patterns in the aorta were only slightly affected by undersampling in the wave-CAIPI case, whereas for Cartesian sampling, considerable discrepancies were observed.
Within this thesis the interactions between novel corannulene derivatives in solution as well as in the solid state by changing the imide residue of a literature known extended corannulene dicarboximide were investigated, in order to obtain a better understanding of the packing and possible charge transport in potential applications. Accordingly, the goal of the work was to synthesize and investigate an electron-poor corannulene bis(dicarboximide) based on previously published work but with higher solubility and less steric encumbrance in imide position to enable self-assembly in solution.
To obtain further insights into the conformational stability, structure and chiroptical properties of heavily twisted PBIs another aim of this thesis was the design, synthesis, and optoelectronic investigation of various fourfold directly arylated PBIs by substitution in bay position with smaller hydrocarbons with different steric demand, i.e., benzene, naphthalene and pyrene, which should be separable by chiral high performance liquid chromatography (HPLC).
As of yet, no concise study concerning the optical and electronic properties of differently core-substituted PBIs in the neutral as well as the mono- and dianionic state in solution is available, which also elucidates the origin of the different optical transitions observed in the absorption and emission spectra. Thus, in this thesis, the investigation of five PBI derivatives with different frontier energetic levels to produce a reference work of reduced PBIs was tackled.
Functions of bounded variation are most important in many fields of mathematics. This thesis investigates spaces of functions of bounded variation with one variable of various types, compares them to other classical function spaces and reveals natural “habitats” of BV-functions. New and almost comprehensive results concerning mapping properties like surjectivity and injectivity, several kinds of continuity and compactness of both linear and nonlinear operators between such spaces are given. A new theory about different types of convergence of sequences of such operators is presented in full detail and applied to a new proof for the continuity of the composition operator in the classical BV-space. The abstract results serve as ingredients to solve Hammerstein and Volterra integral equations using fixed point theory. Many criteria guaranteeing the existence and uniqueness of solutions in BV-type spaces are given and later applied to solve boundary and initial value problems in a nonclassical setting.
A big emphasis is put on a clear and detailed discussion. Many pictures and synoptic tables help to visualize and summarize the most important ideas. Over 160 examples and counterexamples illustrate the many abstract results and how delicate some of them are.
The Stiff-person syndrome (SPS) is a rare autoimmune disease that is characterized by symptoms including stiffness in axial and limb muscles as well as painful spasms. Different variants of SPS are known ranging from moderate forms like the stiff-limb syndrome to the most severe form progressive encephalomyelitis with rigidity and myoclonus (PERM). SPS is elicited by autoantibodies that target different pre- or postsynaptic proteins. The focus of the present work is on autoantibodies against the glycine receptor (GlyR). At start of the present thesis, as main characteristic of the GlyR autoantibody pathology, receptor cross-linking followed by enhanced receptor internalization and degradation via the lysosomal pathway was described. If binding of autoantibodies modulates GlyR function and therefore contributes to the GlyR autoantibody pathology has not yet been investigated. Moreover, not all patients respond well to plasmapheresis or other treatments used in the clinic. Relapses with even higher autoantibody titers regularly occur.
In the present work, further insights into the disease pathology of GlyRα autoantibodies were achieved. We identified a common GlyRα1 autoantibody epitope located in the far N-terminus including amino acids A1-G34 which at least represent a part of the autoantibody epitope. This part of the receptor is easily accessible for autoantibodies due to its location at the outermost surface of the GlyRα1 extracellular domain. It was further investigated if the glycosylation status of the GlyR interferes with autoantibody binding. Using a GlyRα1 de-glycosylation mutant exhibited that patient autoantibodies are able to detect the de-glycosylated GlyRα1 variant as well. The direct modulation of the GlyR analyzed by electrophysiological recordings demonstrated functional alterations of the GlyR upon autoantibody binding. Whole cell patch clamp recordings revealed that autoantibodies decreased the glycine potency, shown by increased EC50 values. Furthermore, an influence on the desensitization behavior of the receptor was shown. The GlyR autoantibodies, however, had no impact on the binding affinity of glycine. These issues can be explained by the localization of the GlyR autoantibody epitope. The determined epitope has been exhibited to influence GlyR desensitization upon binding of allosteric modulators and differs from the orthosteric binding site for glycine, which is localized much deeper in the structure at the interface between two adjacent subunits. To neutralize GlyR autoantibodies, two different methods have been carried out. Transfected HEK293 cells expressing GlyRα1 and ELISA plates coated with the GlyRα1 extracellular domain were used to efficiently neutralize the autoantibodies. Finally, the successful passive transfer of GlyRα1 autoantibodies into zebrafish larvae and mice was shown. The autoantibodies detected their target in spinal cord and brain regions rich in GlyRs of zebrafish and mice. A passive transfer of human GlyRα autoantibodies to zebrafish larvae generated an impaired escape behavior in the animals compatible with the abnormal startle response in SPS or PERM patients.
Within this PhD thesis, chromophore-bridged biradicals were synthesised and their properties characterised. Therefore, it was necessary to develop novel synthetic procedures and implement several experimental characterisation methods. In summary, within this thesis the scope of pigment chromophore phenoxyl radical decoration was further explored and expanded to IIn as well as DPP colourants. HOMA analysis highlighted the importance of aromaticity in order to understand the spin crossover from heteroaromatic quinoidal to aromatic open shell DPPs. Finally, PBI, IIn and DPP biradicals were advanced towards stable materials by introduction of nitronyl nitroxide radical centres.
Critical size bone defects and nonunion fractures remain difficult to treat. Although cell‐loaded bone substitutes have improved bone ingrowth and formation, the lack of methods for achieving viability and the uniform distribution of cells in the scaffold limits their use as bone grafts. In addition, the predominant mechanical stimulus that drives early osteogenic cell maturation has not been clearly identified. Further, it is challenging to evaluate mechanical stimuli (i.e., deformation and fluid–flow-induced shear stress) because they are interdependent. This thesis compares different mechanical stimuli applied to cell-seeded scaffolds to develop bone grafts efficiently for the treatment of critical size bone defects. It also seeks to understand how deformation strain and interstitial fluid–flow-induced shear stress promote osteogenic lineage commitment. In this thesis, different scaffolds were seeded with primary human bone marrow mesenchymal stem cells (BM-MSCs) from different donors and subjected to static and dynamic culture conditions. In contrast with the static culture conditions, homogenous cell distributions were accomplished under dynamic culture conditions. Additionally, the induction of osteogenic lineage commitment without the addition of soluble factors was observed in the bioreactor system after one week of cell culture. To determine the role of mechanical stimuli, a bioreactor was developed to apply mechanical deformation force to a mesenchymal stem sell (MSC) line (telomerase reverse transcriptase (TERT)) expressing a strain-responsive AP-1 luciferase reporter construct on porous scaffolds. Increased luciferase expression was observed in the deformation strain compared with the shear stress strain. Furthermore, the expression of osteogenic lineage commitment markers such as osteonectin, osteocalcin (OC), osteopontin, runt-related transcription factor 2 (RUNX2), alkaline phosphate (AP), and collagen type 1 was significantly downregulated in the shear stress strain compared with the deformation strain. These findings establish that the deformation strain was the predominant stimulus causing skeletal precursors to undergo osteogenesis in earlier stages of osteogenic cell maturation. Finally, these findings were used to develop a bioreactor in vitro test system in which the effect of medication on osteoporosis could be tested. Primary human BM-MSCs from osteoporotic donors were subjected to strontium ranelate (an osteoporotic drug marketed as Protelos®). Increased expression of collagen type 1 and calcification was seen in the drugtreated osteoporotic stem cells compared with the nondrug-treated osteoporotic stem cells. Thus, this bioreactor technology can easily be adapted into an in vitro osteoporotic drug testing system.
The present thesis deals with optimisation problems with sparsity terms, either in the constraints which lead to cardinality-constrained problems or in the objective function which in turn lead to sparse optimisation problems. One of the primary aims of this work is to extend the so-called sequential optimality conditions to these two classes of problems. In recent years sequential optimality conditions have become increasingly popular in the realm of standard nonlinear programming. In contrast to the more well-known Karush-Kuhn-Tucker condition, they are genuine optimality conditions in the sense that every local minimiser satisfies these conditions without any further assumption. Lately they have also been extended to mathematical programmes with complementarity constraints. At around the same time it was also shown that optimisation problems with sparsity terms can be reformulated into problems which possess similar structures to mathematical programmes with complementarity constraints. These recent developments have become the impetus of the present work. But rather than working with the aforementioned reformulations which involve an artifical variable we shall first directly look at the problems themselves and derive sequential optimality conditions which are independent of any artificial variable. Afterwards we shall derive the weakest constraint qualifications associated with these conditions which relate them to the Karush-Kuhn-Tucker-type conditions. Another equally important aim of this work is to then consider the practicability of the derived sequential optimality conditions. The previously mentioned reformulations open up the possibilities to adapt methods which have been proven successful to handle mathematical programmes with complementarity constraints. We will show that the safeguarded augmented Lagrangian method and some regularisation methods may generate a point satisfying the derived conditions.
Hematopoietic cell transplantation (HCT) is a curative therapy for the treatment of malignant and non-malignant bone marrow diseases. The major complication of this treatment is a highly inflammatory reaction called Graft-versus-Host Disease (GvHD). Here, transplanted donor T cells cause massive tissue destruction and inflammation in the main target organs liver, skin and the intestine. Currently, this inflammatory reaction can be treated successfully using strong immunosuppressive agents. One efficient group of immunosuppressants are calcineurin inhibitors such as Cyclosporin A (CsA) and Tacrolimus (FK506). These treatment strategies target all T lymphocytes subsets equally and do not separate GvH from the desirable Graft-versus-Leukemia (GvL) effect. Therefore, we aimed to find immunological targets on alloreactive T cells in order to develop novel treatment strategies, which selectively modulates alloreactive T cells without impairing the GvL effect or hematopoietic immune reconstitution.
The aim of this thesis was to develop a predictive marker panel to track alloreactive T cells in the peripheral blood (PB) of murine allo-HCT recipients. In clinically relevant model of aGvHD we demonstrated that alloreactive T cells have a distinct surface marker expression profile and can be detected in the PB before aGvHD manifestation. Based on our data, we propose a combinatory panel consisting of 4 surface markers (a4b7 integrin, CD162E, CD162P und CD62L) on circulating CD8+ T cells to identify the risk of aGvHD after allo-HCT.
Since tumor necrosis factor receptor superfamily (TNFR SF) members are involved in several immunological processes, we did extensive surface marker expression analysis of several TNFR superfamily members and other immunomodulatory molecules on conventional and regulatory T cells (Tcons vs. Tregs) on different time points during aGvHD progression. The aim of this study was to find subset-specific immunomodulatory molecules on recently activated Tcons and Tregs. We found that GITR, 4-1BB and CD27 were highly expressed on alloreactive and naïve Tregs. In contrast, PD1 expression was highly upregulated on recently activated alloreactive Tcons. The data of this study serves as basis for future approaches, which aim to develop T cell subset specific therapeutic antibody fusion proteins.
a4b7 integrin and CD162P (P-Selectin ligand) are highly upregulated on alloreactive T cells and mediate the infiltration of these cells into GvHD target organs. We developed recombinant (antibody) fusion proteins to target these two homing molecules and could show that antibody-based fusion proteins are superior to ligand-based fusion proteins regarding production efficiency and binding affinity. Therefore, we propose for future studies to focus on the described antibody-based fusion proteins for the selective targeting of T cells.
Since the widely used calcineurin inhibitors are impairing the desirable GvL effect, we investigated if selective NFATc1 inhibition might be a novel strategy to prevent or reduce alloreactivity, while hopefully maintaining the GvL effect. In particular, we addressed the role of the isoform NFATc1 and inhibited its posttranslational modification by SUMO (Small Ubiquitin-related Modifier). Indeed, inhibition of NFATc1 SUMOylation resulted in reduced inflammation and increased Treg frequencies in a murine MHC major mismatch aGvHD model.
Conclusively, we showed that alloreactive T cells can be identified by their surface profile in the PB of allo-HCT recipients before aGvHD symptoms appeared. Furthermore, we introduced a approach to selectively target alloreactive T cells by antibody fusion proteins, which might serve as a novel strategy to separate GvH from GvL. Additionally, we demonstrated that averted posttranslational modification of NFATc1 by SUMOylation serves as potential target to reduce alloreactivity of T cells.
Educational robotics is an innovative approach to teaching and learning a variety of different concepts and skills as well as motivating students in the field of Science, Technology, Engineering, and Mathematics (STEM) education. This especially applies to educational robotics competitions such as, for example, the FIRST LEGO League, the RoboCup Junior, or the World Robot Olympiad as out-of-school and goal-oriented approach to educational robotics. These competitions have gained greatly in popularity in recent years and thousands of students participate in these competitions worldwide each year. Moreover, the corresponding technology became more accessible for teachers and students to use it in their classrooms and has arguably a high potential to impact the nature of science education at all levels. One skill, which is said to be benefitting from educational robotics, is problem solving. This thesis understands problem solving skills as engineering design skills (in contrast to scientific inquiry). Problem solving skills count as important skills as demanded by industry leaders and policy makers in the context of 21st century skills, which are relevant for students to be well-prepared for their future working life in today’s world, shaped by an ongoing process of automation, globalization, and digitalization. The overall aim of this thesis is to try to answer the question if educational robotics competitions such as the World Robot Olympiad (WRO) have a positive impact on students’ learning in terms of their problem solving skills (as part of 21st century skills). In detail, this thesis focuses on a) if students can improve their problem solving skills through participation in educational robotics competitions, b) how this skill development is accomplished, and c) the teachers’ support of their students during their learning process in the competition. The corresponding empirical studies were conducted throughout the seasons of 2018 and 2019 of the WRO in Germany. The results show overall positive effects of the participation in the WRO on students’ learning of problem solving skills. They display an increase of students’ problem solving skills, which is not moderated by other variables such as the competition’s category or age group, the students’ gender or experience, or the success of the teams at the competition. Moreover, the results indicate that students develop their problem solving skills by using a systematic engineering design process and sophisticated problem solving strategies. Lastly, the teacher’s role in the educational robotics competitions as manager and guide (in terms of the constructionist learning theory) of the students’ learning process (especially regarding the affective level) is underlined by the results of this thesis. All in all, this thesis contributes to the research gap concerning the lack of systematic evaluation of educational robotics to promote students’ learning by providing more (methodologically) sophisticated research on this topic. Thereby, this thesis follows the call for more rigorous (quantitative) research by the educational robotics community, which is necessary to validate the impact of educational robotics.
Evolution of antifungal drug resistance of the human-pathogenic fungus \(Candida\) \(albicans\)
(2021)
Infections with the opportunistic yeast Candida albicans are frequently treated with the first-line drug fluconazole, which inhibits ergosterol biosynthesis. An alarming problem in clinics is the development of resistances against this azole, especially during long-term treatment of patients. Well-known resistance mechanisms include mutations in the zinc cluster transcription factors (ZnTFs) Mrr1 and Tac1, which cause an overexpression of efflux pump genes, and Upc2, which results in an overexpression of the drug target. C. albicans strains with such gain-of-function mutations (GOF) have an increased drug resistance conferring a selective advantage in the presence of the drug. It was previously shown that this advantage comes with a fitness defect in the absence of the drug. This was observed in different conditions and is presumably caused by a deregulated gene expression.
One aim of the present study was to examine whether C. albicans can overcome the costs of drug resistance by further evolution. Therefore, the relative fitness of clinical isolates with one or a combination of different resistance mutations in Mrr1, Tac1 and/or Upc2 was analyzed in competition with the matched fluconazole-susceptible partner. Most fluconazole-resistant isolates had a decreased fitness in competition with their susceptible partner in vitro in rich medium. In contrast, three fluconazole-resistant strains with Mrr1 resistance mutations did not show a fitness defect in competition with their susceptible partner. In addition, the fitness of four selected clinical isolate pairs was examined in vivo in mouse models of gastrointestinal colonization (GI) and disseminated infection (IV). In the GI model all four fluconazole-resistant strains were outcompeted by their respective susceptible partner. In contrast, in the IV model only one out of four fluconazole-resistant isolates did show a slight fitness defect in competition with its susceptible partner during infection of the kidneys. It can be stated, that in the present work the in vitro fitness did not reflect the in vivo fitness and that the overall fitness was dependent on the tested conditions. In conclusion, C. albicans cannot easily overcome the costs of drug resistance caused by a deregulated gene expression.
In addition to GOFs in Mrr1, Tac1 and Upc2, resistance mutations in the drug target Erg11 are a further key fluconazole resistance mechanism of C. albicans. Clinical isolates often harbor several resistance mechanisms, as the fluconazole resistance level is further increased in strains with a combination of different resistance mutations. In this regard, the question arises of how strains with multiple resistance mechanisms evolve. One possibility is that strains acquire mutations successively. In the present study it was examined whether highly drug-resistant C. albicans strains with multiple resistance mechanisms can evolve by parasexual recombination as another possibility. In a clonal population, cells with individually acquired resistance mutations could combine these advantageous traits by mating. Thereupon selection could act on the mating progeny resulting in even better adapted derivatives.
Therefore, strains heterozygous for a resistance mutation and the mating type locus (MTL) were grown in the presence of fluconazole. Derivatives were isolated, which had become homozygous for the resistance mutation and at the same time for the MTL. This loss of heterozygosity was accompanied by increased drug resistance. In general, strains which are homozygous for one of both MTL configurations (MTLa and MTLα) can switch to the opaque phenotype, which is the mating-competent form of the yeast, and mate with cells of the opposite MTL. In the following, MTLa and MTLα homozygous strains in the opaque phenotype were mated in all possible combinations. The resulting mating products with combined genetic material from both parents did not show an increased drug resistance. Selected products of each mating cross were passaged with stepwise increasing concentrations of fluconazole. The isolated progeny showed high levels of drug resistance and loss of wild-type alleles of resistance-associated genes. In conclusion, selective pressure caused by fluconazole exposure selects for resistance mutations and at the same time induces genomic rearrangements, resulting in mating competence. Therefore, in a clonal population, cells with individually acquired resistance mutations can mate with each other and generate mating products with combined genetic backgrounds. Selection can act on these mating products and highly drug-resistant und thus highly adapted derivatives can evolve as a result.
In summary, the present study contributes to the current understanding of the evolution of antifungal drug resistance by elucidating the effect of resistance mutations on the fitness of the strains in the absence of the drug selection pressure and investigates how highly drug-resistant strains could evolve within a mammalian host.
In this work, a toolbox was provided to create three-component polymer conjugates with a defined architecture, designed to bear different biocomponents that can interact with larger biological systems in biomacromolecular recognition experiments. The target architecture is the attachment of two biomolecule ‘arms’ to the alpha telechelic end point of a polymer and fixating the conjugate to the gold surface of SAW and SPR sensor chips with the polymer’s other omega chain end. This specific design of a conjugate will be implemented by using a strategy to yield novel double alpha as well as omega telechelic functionalized POx and the success of all cascade reaction steps leading to the final conjugation product will be proven through affinity measurements between covalently bound mannose and ConA. All reactions were performed on a low molecular model level first and then transferred to telechelic and also side chain functionalized polymer systems.
In deafness, which is caused by the malfunctioning of the inner ear, an implantation of a cochlear implant (CI) is able to restore hearing. The CI is a neural prosthesis that is located within the cochlea. It replaces the function of the inner hair cells by direct electrical stimulation of the auditory nerve fibers. The CI enables many deaf or severe hearing-impaired people to achieve a good speech perception. Nevertheless, there is a lot of potential for further improvements. Compared to normal-hearing listeners rate pitch discrimination is much worse. Rate pitch discrimination is the ability to distinguish the pitch of two stimuli with two different pulse rates. This ability is important for enjoying music as well as speech perception (in noise). Further, the small dynamic range in electrical hearing (compared to normal-hearing listeners) and therefore the small intensity resolution limits the performance of CI users. Both, rate pitch coding and dynamic range were investigated in this doctoral thesis.
For the first issue, a pitch discrimination task was designed to determine the just-noticeable-difference (JND) in pitch with 200 and 400 pps as reference. Additionally to the default biphasic pulse (single pulse) the experiment was performed with double pulses. The double pulse consists out of two biphasic pulses directly after each other and a small interpulse interval (IPI) in between. Three different IPIs (15, 50, and 150 µs) were tested. The statistical analysis of JNDs revealed no significant effects between stimulation with single-pulse or double-pulse trains.
A follow-up study investigated an alternating pulse train consisting of single and double pulses. To investigate if the 400 pps alternating pulse train is comparable in pitch with the 400 pps single-pulse train, a pairwise pitch comparison test was conducted. The alternating pulse train was compared with single-pulse trains at 200, 300 and 400 pps. The results showed that the alternating pulse train is for most subjects similar in pitch with the 200 pps single-pulse train. Therefore, pitch perception seemed to be dominated by the double pulses within the pulse train.
Accordingly, double pulses with different amplitudes were tested. Based on the facilitation effect, a larger neuronal response was expected by stimulating with two pulses with a short IPI within the temporal facilitation range. In other studies, this effect was shown to be maximal in CIs of the manufacturer Cochlear, with first pulse amplitudes set at or slightly below the electrically evoked compound action potential (ECAP) threshold. The second pulse amplitude did not influence the facilitation effect and therefore could be choose at will. Similarly, this effect was tested in this thesis with CIs of the manufacturer MED-EL. Nevertheless, to achieve a proper signal-to-noise ratio, technical issues had to be addressed like a high noise floor, resulting in incorrect determination of the ECAP threshold. After solving this issues, the maximum facilitation effect was around the ECAP threshold as in the previous study with Cochlear. For future studies this effect could be used in a modified double pulse rate pitch experiment with the first pulse amplitude at ECAP threshold and the second pulse amplitude variable to set the most comfortable loudness level (MCL).
The last study within this thesis investigated the loudness perception at two different loudness levels and the resulting dynamic range for different interphase-gaps (IPG). A larger IPG can reduce the amplitude at same loudness level to save battery power. However, it was unknown if the IPG has an influence on the dynamic range. Different IPGs (10 and 30 µs) were compared with the default IPG (2.1 µs) in a loudness matching experiment. The experiment was performed at the most comfortable loudness level (MCL) of the subject and the amplitude of half the dynamic range (50%-ADR). An upper dynamic range was calculated from the results of MCL and 50%-ADR (therefore not the whole dynamic range was covered). As expected from previous studies a larger IPG resulted in smaller amplitudes. However, the observed effect was larger at MCL than at 50%-ADR which resulted in a smaller upper dynamic range. This is the first time a decrease of this dynamic range was shown.
The obligate human pathogen Neisseria meningitidis is a major cause of sepsis and meningitis worldwide. It affects mainly toddlers and infants and is responsible for thousands of deaths each year. In this study, different aspects of the importance of sphingolipids in meningococcal pathogenicity were investigated. In a first step, the acid sphingomyelinase (ASM), which degrades membrane sphingomyelin to ceramide, was studied in the context of meningococcal infection. A requirement for ASM surface activity is its translocation from the lysosomal compartment to the cell surface, a process that is currently poorly understood.
This study used various approaches, including classical invasion and adherence assays, flow cytometry, and classical and super resolution immunofluorescence microscopy (dSTORM). The results showed that the live, highly piliated N. meningitidis strain 8013/12 induced calcium-dependent ASM translocation in human brain microvascular endothelial cells (HBMEC). Furthermore, it promoted the formation of ceramide-rich platforms (CRPs). In addition, ASM translocation and CRP formation were observed after treating the cells with pili-enriched fractions derived from the same strain. The importance for N. meningitidis to utilize this pathway was shown by the inhibition of the calcium-dependent ASM translocation, which greatly decreased the number of invasive bacteria.
I also investigated the importance of the glycosphingolipids GM1 and Gb3. The results showed that GM1, but not Gb3, plays an important role in the ability of N. meningitidis to invade HBMEC. By combining dSTORM imaging and microbiological approaches, we demonstrated that GM1 accumulated prolifically around bacteria during the infection, and that this interaction seemed essential for meningococcal invasion.
Sphingolipids are not only known for their beneficial effect on pathogens. Sphingoid bases, including sphingosine, are known for their antimicrobial activity. In the last part of this study, a novel correlative light and electron microscopy approach was established in the combination with click chemistry to precisely localize azido-functionalized sphingolipids in N. meningitidis. The result showed a distinct concentration-dependent localization in either the outer membrane (low concentration) or accumulated in the cytosol (high concentration). This pattern was confirmed by mass spectrometry on separated membrane fractions. Our data provide a first insight into the underlying mechanism of antimicrobial sphingolipids.
Bacterial small non-coding RNAs (sRNAs) play fundamental roles in controlling and finetuning gene expression in a wide variety of cellular processes, including stress responses, environmental signaling and virulence in pathogens. Despite the identification of hundreds of sRNA candidates in diverse bacteria by genomics approaches, the mechanisms and regulatory capabilities of these posttranscriptional regulators have most intensively been studied in Gram-negative Gammaproteobacteria such as Escherichia coli and Salmonella. So far, almost nothing is known about sRNA-mediated regulation (riboregulation) in Epsilonproteobacteria, including the major human pathogen Helicobacter pylori. H. pylori was even thought to be deficient for riboregulation as none of the sRNAs known from enterobacteria are conserved in Helicobacter and since it lacks the major RNA chaperone Hfq, which is crucial for sRNA function as well as stability in many bacteria. Nonetheless, more than 60 cis- and trans-acting sRNA candidates were recently identified in H. pylori by a global RNA sequencing approach, indicating that this pathogen, in principle, has the capability to use riboregulation for its gene expression control. However, the functions and underlying mechanisms of H. pylori sRNAs remained unclear.
This thesis focused on the first functional characterization and target gene identification of a trans-acting sRNA, RepG (Regulator of polymeric G-repeats), in H. pylori. Using in-vitro and in-vivo approaches, RepG was shown to directly base-pair with its C/Urich terminator loop to a variable homopolymeric G-repeat in the 5’ untranslated region (UTR) of the tlpB mRNA, thereby regulating expression of the chemotaxis receptor TlpB. While the RepG sRNA is highly conserved, the length of the G-repeat in the tlpB mRNA leader varies among different H. pylori isolates, resulting in a strain-specific tlpB regulation. The modification of the number of guanines within the G-stretch in H. pylori strain 26695 demonstrated that the length of the homopolymeric G-repeat determines the outcome of posttranscriptional control (repression or activation) of tlpB by RepG. This lengthdependent targeting of a simple sequence repeat by a trans-acting sRNA represents a new twist in sRNA-mediated regulation and a novel mechanism of gene expression control, since it uniquely links phase variation by simple sequence repeats to posttranscriptional regulation.
In almost all sequenced H. pylori strains, tlpB is encoded in a two gene operon upstream of HP0102, a gene of previously unknown function. This study provided evidence that HP0102 encodes a glycosyltransferase involved in LPS O-chain and Lewis x antigen production. Accordingly, this glycosyltransferase was shown to be essential for mice colonization by H. pylori. The coordinated posttranscriptional regulation of the tlpB-HP0102 operon by antisense base-pairing of RepG to the phase-variable G-repeat in the 5’ UTR of the tlpB mRNA allows for a gradual, rather than ON/OFF, control of HP0102 expression, thereby affecting LPS biosynthesis in H. pylori. This fine-tuning of O-chain and Lewis x antigen expression modulates H. pylori antibiotics sensitivity and thus, might be advantageous for Helicobacter colonization and persistence.
Whole transcriptome analysis based on microarray and RNA sequencing was used to identify additional RepG target mRNAs and uncover the physiological role of this riboregulator in H. pylori. Altogether, repG deletion affected expression of more than 40 target gene candidates involved various cellular processes, including membrane transport and adhesion, LPS modification, amino acid metabolism, oxidative and nitrosative stress, and nucleic acid modification. The presence of homopolymeric G-repeats/G-rich sequences in almost all target mRNA candidates indicated that RepG hijacks a conserved motif to
recognize and regulate multiple target mRNAs in H. pylori.
Overall, this study demonstrates that H. pylori employs riboregulation in stress response and virulence control. In addition, this thesis has successfully established Helicobacter as a new model organism for investigating general concepts of gene expression control by Hfq-independent sRNAs and sRNAs in bacterial pathogens.
The present thesis demonstrates how different thermodynamic aspects of self-assembly and stimuli-responsive properties in water can be encoded on the structure of π-amphiphiles, consisting of perylene or naphthalene bisimide cores. Initially, quantitative thermodynamic insights into the entropically-driven self-assembly was studied for a series of naphthalene bisimides with UV/Vis and ITC measurements, which demonstrated that their thermodynamic profile of aggregation is heavily influenced by the OEG side chains. Subsequently, a control over the bifurcated thermal response of entropically driven and commonly observed enthalpically driven self-assembly was achieved by the modulation of glycol chain orientation. Finally, Lower Critical Solution Temperature (LCST) phenomenon observed for these dyes was investigated as a precise control of this behavior is quintessential for self-assembly studies as well as to generate ‘smart’ materials. It could be shown that the onset of phase separation for these molecules can be encoded in their imide substituents, and they are primarily determined by the supramolecular packing, rather than the hydrophobicity of individual monomers.
The charged aerosol detector (CAD) is an aerosol-based detector employed in liquid chromatography which has become established in the field of pharmaceutical analysis due to its outstanding performance characteristics, e.g. the almost uniform response for nonvolatile analytes. Owing to its principle of detection, the response of the CAD depends on the volatility of a compound and is inherently nonlinear. However, the newly implemented instrumental settings evaporation temperature and power function value (PFV) are valuable tools to overcome some of these drawbacks and can even enhance the detector’s capabilities when adjusted properly.
This thesis aimed to evaluate the impact of the new instrumental settings on the CAD performance. Additionally, the influence of modern separation techniques for small polar compounds on the CAD was assessed and the applicability of hyphenated UV-CAD techniques explored. The optimization strategies derived from the evaluation procedures and the conjunction of the instrumental and chromatographic techniques investigated were utilized for the challenging impurity profiling of amino acids and amino acid-like drugs.
The results of the method validation procedures confirmed the broad applicability of the CAD in the pharmaceutical analysis of nonvolatile compounds, supported by satisfactory sensitivity and reproducibility for meeting the regulatory requirements with respect to the ICH guidelines Q2(R1) and Q3A(R2). The limits of applicability include the analysis of semivolatile compounds, and the method transfer between current and legacy CAD models. Further advances in the definition and standardization of allowed ranges for the instrumental settings and the establishment of general optimization procedures in the method development could lead to a more widespread use of the detection technique in compendial methods.
Ubiquitination is a posttranslational modification with immense impact on a wide range of cellular processes, including proteasomal degradation, membrane dynamics, transcription, translation, cell cycle, apoptosis, DNA repair and immunity. These diverse functions stem from the various ubiquitin chain types, topologies, and attachment sites on substrate proteins. Substrate recruitment and modification on lysine, serine or threonine residues is catalyzed by ubiquitin ligases (E3s). An important E3 that decides about the fate of numerous substrates is the HECT-type ubiquitin ligase HUWE1. Depending on the substrate, HUWE1 is involved in different processes, such as cell proliferation and differentiation, DNA repair, and transcription. One of the transcription factors that is ubiquitinated by HUWE1 is the MYC interacting zinc finger protein 1 (MIZ1). MIZ1 is a BTB/POZ (Bric-à-brac, Tramtrack and Broad-Complex/Pox virus and zinc finger) zinc finger (ZF) protein that binds to DNA through its 13 C2H2-type zinc fingers and either activates or represses the transcription of target genes, including genes involved in cell cycle arrest, such as P21CIP1 (CDKN1A). The precise functions of MIZ1 depend on its interactions with the MYC-MAX heterodimer, but also its heterodimerization with other BTB-ZF proteins, such as BCL6 or NAC1. How MIZ1 interacts with HUWE1 has not been studied and, as a consequence, it has not been possible to rationally develop tools to manipulate this interaction with specificity in order to better understand the effects of the interaction on the transcriptional function of MIZ1 on target genes or processes downstream. One aspect of my research, therefore, aimed at characterizing the MIZ1-HUWE1 interaction at a structural level. I determined a crystal structure of the MIZ1-BTB-domain in complex with a peptide, referred to as ASC, derived from a C terminal region of HUWE1, previously named ‘activation segment’. The binding mode observed in this crystal structure could be validated by binding and activity assays in vitro and by cell-based co-IP experiments in the context of N-terminally truncated HUWE1 constructs. I was not able to provide unambiguous evidence for the identified binding mode in the context of full-length HUWE1, indicating that MIZ1 recognition by HUWE1 requires yet unknown regions in the cell. While the structural details of the MIZ1-HUWE1 interaction remains to be elucidated in the context of the full-length proteins, the binding mode between MIZ1BTB and ASC revealed an interesting, atypical structural feature of the BTB domain of MIZ1 that, to my knowledge, has not been described for other BTB-ZF proteins: The B3 region in MIZ1BTB is conformationally malleable, which allows for a HUWE1-ASC-peptide-mediated β-sheet extension of the upper B1/B2-strands, resulting in a mixed, 3 stranded β-sheet. Such β-sheet extension does not appear to occur in other homo- or heterodimeric BTB-ZF proteins, including MIZ1-heterodimers, since these proteins typically possess a pre-formed B3-strand in at least one subunit. Instead, BCL6 co repressor-derived peptides (SMRT and BCOR) were found to extend the lower β-sheet in BCL6BTB by binding to an adjacent ‘lateral groove’. This interaction follows a 1:1 stoichiometry, whereas the MIZ1BTB-ASC-complex shows a 2:1 stoichiometry. The crystal structure of the MIZ1BTB-ASC-complex I determined, along with comparative binding studies of ASC with monomeric, homodimeric, and heterodimeric MIZ1BTB variants, respectively, suggests that ASC selects for MIZ1BTB homodimers. The structural data I generated may serve as an entry point for the prediction of additional interaction partners of MIZ1 that also have the ability to extend the upper β-sheet of MIZ1BTB. If successful, such interaction partners and structures thereof might aid the design of peptidomimetics or small-molecule inhibitors of MIZ1 signaling. Proof-of-principle for such a structure-guided approach targeting BTB domains has been provided by small-molecule inhibitors of BCL6BTB co-repressors interactions. If a similar approach led to molecules that interfere with specific interactions of MIZ1, they would provide intriguing probes to study MIZ1 biology and may eventually allow for the development of MIZ1-directed cancer therapeutics.
Computer games are highly immersive, engaging, and motivating learning environments. By providing a tutorial at the start of a new game, players learn the basics of the game's underlying principles as well as practice how to successfully play the game. During the actual gameplay, players repetitively apply this knowledge, thus improving it due to repetition. Computer games also challenge players with a constant stream of new challenges which increase in difficulty over time. As a result, computer games even require players to transfer their knowledge to master these new challenges. A computer game consists of several game mechanics. Game mechanics are the rules of a computer game and encode the game's underlying principles. They create the virtual environments, generate a game's challenges and allow players to interact with the game. Game mechanics also can encode real world knowledge. This knowledge may be acquired by players via gameplay. However, the actual process of knowledge encoding and knowledge learning using game mechanics has not been thoroughly defined, yet. This thesis therefore proposes a theoretical model to define the knowledge learning using game mechanics: the Gamified Knowledge Encoding. The model is applied to design a serious game for affine transformations, i.e., GEtiT, and to predict the learning outcome of playing a computer game that encodes orbital mechanics in its game mechanics, i.e., Kerbal Space Program. To assess the effects of different visualization technologies on the overall learning outcome, GEtiT visualizes the gameplay in desktop-3D and immersive virtual reality. The model's applicability for effective game design as well as GEtiT's overall design are evaluated in a usability study. The learning outcome of playing GEtiT and Kerbal Space Program is assessed in four additional user studies. The studies' results validate the use of the Gamified Knowledge Encoding for the purpose of developing effective serious games and to predict the learning outcome of existing serious games. GEtiT and Kerbal Space Program yield a similar training effect but a higher motivation to tackle the assignments in comparison to a traditional learning method. In conclusion, this thesis expands the understanding of using game mechanics for an effective learning of knowledge. The presented results are of high importance for researches, educators, and developers as they also provide guidelines for the development of effective serious games.
Digitization and artificial intelligence are radically changing virtually all areas across business and society. These developments are mainly driven by the technology of machine learning (ML), which is enabled by the coming together of large amounts of training data, statistical learning theory, and sufficient computational power. This technology forms the basis for the development of new approaches to solve classical planning problems of Operations Research (OR): prescriptive analytics approaches integrate ML prediction and OR optimization into a single prescription step, so they learn from historical observations of demand and a set of features (co-variates) and provide a model that directly prescribes future decisions. These novel approaches provide enormous potential to improve planning decisions, as first case reports showed, and, consequently, constitute a new field of research in Operations Management (OM).
First works in this new field of research have studied approaches to solving comparatively simple planning problems in the area of inventory management. However, common OM planning problems often have a more complex structure, and many of these complex planning problems are within the domain of capacity planning. Therefore, this dissertation focuses on developing new prescriptive analytics approaches for complex capacity management problems. This dissertation consists of three independent articles that develop new prescriptive approaches and use these to solve realistic capacity planning problems.
The first article, “Prescriptive Analytics for Flexible Capacity Management”, develops two prescriptive analytics approaches, weighted sample average approximation (wSAA) and kernelized empirical risk minimization (kERM), to solve a complex two-stage capacity planning problem that has been studied extensively in the literature: a logistics service provider sorts daily incoming mail items on three service lines that must be staffed on a weekly basis. This article is the first to develop a kERM approach to solve a complex two-stage stochastic capacity planning problem with matrix-valued observations of demand and vector-valued decisions. The article develops out-of-sample performance guarantees for kERM and various kernels, and shows the universal approximation property when using a universal kernel. The results of the numerical study suggest that prescriptive analytics approaches may lead to significant improvements in performance compared to traditional two-step approaches or SAA and that their performance is more robust to variations in the exogenous cost parameters.
The second article, “Prescriptive Analytics for a Multi-Shift Staffing Problem”, uses prescriptive analytics approaches to solve the (queuing-type) multi-shift staffing problem (MSSP) of an aviation maintenance provider that receives customer requests of uncertain number and at uncertain arrival times throughout each day and plans staff capacity for two shifts. This planning problem is particularly complex because the order inflow and processing are modelled as a queuing system, and the demand in each day is non-stationary. The article addresses this complexity by deriving an approximation of the MSSP that enables the planning problem to be solved using wSAA, kERM, and a novel Optimization Prediction approach. A numerical evaluation shows that wSAA leads to the best performance in this particular case. The solution method developed in this article builds a foundation for solving queuing-type planning problems using prescriptive analytics approaches, so it bridges the “worlds” of queuing theory and prescriptive analytics.
The third article, “Explainable Subgradient Tree Boosting for Prescriptive Analytics in Operations Management” proposes a novel prescriptive analytics approach to solve the two capacity planning problems studied in the first and second articles that allows decision-makers to derive explanations for prescribed decisions: Subgradient Tree Boosting (STB). STB combines the machine learning method Gradient Boosting with SAA and relies on subgradients because the cost function of OR planning problems often cannot be differentiated. A comprehensive numerical analysis suggests that STB can lead to a prescription performance that is comparable to that of wSAA and kERM. The explainability of STB prescriptions is demonstrated by breaking exemplary decisions down into the impacts of individual features. The novel STB approach is an attractive choice not only because of its prescription performance, but also because of the explainability that helps decision-makers understand the causality behind the prescriptions.
The results presented in these three articles demonstrate that using prescriptive analytics approaches, such as wSAA, kERM, and STB, to solve complex planning problems can lead to significantly better decisions compared to traditional approaches that neglect feature data or rely on a parametric distribution estimation.
Cell death is an essential aspect of life that plays an important role for successful development and tissue remodeling as well as for diseases. There are several different types of cell death that differ from each other in morphological, functional and biochemical ways. Regulated cell death that occurs in physiological processes is generally equated with programmed cell death (PCD), whereby apoptosis is the most studied form of PCD. Ferroptosis is a form of regulated cell death and unique in its requirements for iron and lipid peroxidation. It is linked to numerous biological processes, such as amino acid metabolism, phospholipid metabolism and sterol synthesis. Cholesterol biosynthesis is a complex pathway with a large number of enzymes and substrates that are potential target points for cellular dysfunctions. Motivated by the results from a CRISPR-based genetic screening in this thesis, we focused on 7-dehydrocholesterol reductase (DHCR7), the enzyme responsible for conversion of 7-dehydrocholesterol (7-DHC) to cholesterol. In this work we focused on the ferroptosis sensitive cell line HT1080 and generated a series of models to address the importance of DHCR7 in ferroptosis. Using CRISPR/Cas9, HT1080 DHCR7_KO and DHCR7/SC5D_KO cell lines were generated and used to validate their sensitivity against ferroptosis inducers and sterol consumption. We could show that 7-DHC is a strong antiferroptotic agent that could prevent cell death in genetic models as well as when supplemented directly to cells. Importantly, all the results obtained were subsequently confirmed in isogenic reconstituted pairs from the HT1080 DHCR7/SC5D_KO. Moreover, we demonstrate that this protective effect is not due to an inherent and unspecific resistance as the sensitivity to non-ferroptotic stimuli was equally effective in killing the HT1080 DHCR7_KO and DHCR7/SC5D_KO cell lines. We could also show that selenium present in the media has a strong impact on the activity of 7-DHC and this is because in its absence the effective concentration is rapidly decreased. Surprisingly we also demonstrate that removing sterol from cell culture triggers ferroptosis in cells unable to synthesize 7-DHC, suggestive that this could be used as a novel mechanism to trigger ferroptosis. Ultimately, in the present work we could show that unlike previously reported, 7-DHC is not only a toxic intermediate of the cholesterol biosynthesis pathway but under specific circumstances it has a strong pro-survival effect.
The aim of this thesis was the preparation of a biomaterial ink for the fabrication of chemically crosslinked hydrogel scaffolds with low micron sized features using melt electrowriting (MEW). By developing a functional polymeric material based on 2-alkyl-2-oxazine (Ozi) and 2-alkyl-2-oxazoline (Ox) homo- and copolymers in combination with Diels-Alder (DA)-based dynamic covalent chemistry, it was possible to achieve this goal. This marks an important step for the additive manufacturing technique melt electrowriting (MEW), as soft and hydrophilic structures become available for the first time. The use of dynamic covalent chemistry is a very elegant and efficient method for consolidating covalent crosslinking with melt processing. It was shown that the high chemical versatility of the Ox and Ozi chemistry offers great potential to control the processing parameters. The established platform offers straight forward potential for modification with biological cues and fluorescent markers. This is essential for advanced biological applications. The physical properties of the material are readily controlled and the potential for 4D-printing was highlighted as well. The developed hydrogel architectures are excellent candidates for 3D cell culture applications. In particular, the low internal strength of some of the scaffolds in combination with the tendency of such constructs to collapse into thin strings could be interesting for the cultivation of muscle or nerve cells. In this context it was also possible to show that MEW printed hydrogel scaffolds can withstand the aspiration and ejection through a cannula. This allows the application as scaffolds for the minimally invasive delivery of implants or functional tissue equivalent structures to various locations in the human body.
In the present thesis we investigate algebraic and arithmetic properties of graph spectra. In particular, we study the algebraic degree of a graph, that is the dimension of the splitting field of the characteristic polynomial of the associated adjacency matrix over the rationals, and examine the question whether there is a relation between the algebraic degree of a graph and its structural properties. This generalizes the yet open question ``Which graphs have integral spectra?'' stated by Harary and Schwenk in 1974.
We provide an overview of graph products since they are useful to study graph spectra and, in particular, to construct families of integral graphs. Moreover, we present a relation between the diameter, the maximum vertex degree and the algebraic degree of a graph, and construct a potential family of graphs of maximum algebraic degree.
Furthermore, we determine precisely the algebraic degree of circulant graphs and find new criteria for isospectrality of circulant graphs. Moreover, we solve the inverse Galois problem for circulant graphs showing that every finite abelian extension of the rationals is the splitting field of some circulant graph. Those results generalize a theorem of So who characterized all integral circulant graphs. For our proofs we exploit the theory of Schur rings which was already used in order to solve the isomorphism problem for circulant graphs.
Besides that, we study spectra of zero-divisor graphs over finite commutative rings.
Given a ring \(R\), the zero-divisor graph over \(R\) is defined as the graph with vertex set being the set of non-zero zero-divisors of \(R\) where two vertices \(x,y\) are adjacent if and only if \(xy=0\). We investigate relations between the eigenvalues of a zero-divisor graph, its structural properties and the algebraic properties of the respective ring.
The fungus Candida albicans is a typical member of the human microbiota, where it usually behaves as a commensal. It can also become pathogenic; often causing minor superficial infections in healthy people, but also potentially fatal invasive systemic infections in immunocompromised people. Unfortunately, there is only a fairly limited set of antifungal drugs, and evolution of drug resistance threatens their efficacy. Greater understanding of the mechanisms that C. albicans uses to survive in and infect the host can uncover candidate targets for novel antifungals. Protein kinases are central to a vast array of signalling pathways which govern practically all aspects of life, and furthermore are relatively straightforward to design drugs against. As such, investigation and characterization of protein kinases in C. albicans as well as their target proteins and the pathways they govern are important targets for research. AMP-activated kinases are well conserved proteins which respond to energy stress; they are represented in yeasts by the heterotrimeric SNF1 complex, which responds primarily to the absence of glucose. In this work, the SNF1 pathway was investigated with two primary goals: identify novel targets of this protein kinase and elucidate why SNF1 is essential. Two approaches were used to identify novel targets of SNF1. In one, suppressor mutants were evolved from a strain in which SNF1 activity is reduced, which exhibits defects in carbon source utilization and cell wall integrity. This revealed a suppressor mutation within SNF1 itself, coding for the catalytic subunit of the complex – SNF1Δ311-316. The second approach screened a library of artificially activated zinc cluster transcription factors, identifying Czf1 as one such transcription factor which, upon artificial activation, restored resistance to cell wall stress in a mutant of the SNF1 pathway. Finally, a, inducible gene deletion system revealed that SNF1 is not an essential gene.
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with an estimated heritability of around 70%. In order to fully understand ADHD biology it is necessary to incorporate multiple different types of research. In this thesis, both human and animal model research is described as both lines of research are required to elucidate the aetiology of ADHD and development new treatments. The role of a single gene, Adhesion G protein-coupled receptor L3 (ADGRL3) was investigated using a knockout mouse model. ADGRL3 has putative roles in neuronal migration and synapse function. Various polymorphisms in ADGRL3 have been linked with an increased risk of attention deficit/hyperactivity disorder (ADHD) in human studies. Adgrl3-deficient mice were examined across multiple behavioural domains related to ADHD: locomotive activity, visuospatial and recognition memory, gait impulsivity, aggression, sociability and anxiety-like behaviour. The transcriptomic alterations caused by Adgrl3-depletion were analysed by RNA-sequencing of three ADHD-relevant brain regions: prefrontal cortex (PFC), hippocampus and striatum. Increased locomotive activity in Adgrl3-/- mice was observed across all tests with the specific gait analysis revealing subtle gait abnormalities. Spatial memory and learning domains were also impaired in these mice. Increased levels of impulsivity and sociability accompanying decreased aggression were also detected. None of these alterations were observed in Adgrl3+/- mice. The numbers of genes found to exhibit differential expression was relatively small in all brain regions sequenced. The absence of large scale gene expression dysregulation indicates a specific pathway of action, rather than a broad neurobiological perturbation. The PFC had the greatest number of differentially expressed genes and gene-set analysis of differential expression in this brain region detected a number of ADHD-relevant pathways including dopaminergic synapses as well as cocaine and amphetamine addiction. The most dysregulated gene in the PFC was Slc6a3 which codes for the dopamine transporter, a molecule vital to current pharmacological treatment of ADHD. The behavioural and transcriptomic results described in this thesis further validate Adgrl3 constitutive knockout mice as an experimental model of ADHD and provide neuroanatomical targets for future studies involving ADGRL3 modified animal models.
The study of ADHD risk genes such as ADGRL3 requires the gene to be first identified using human studies. These studies may be genome based such as genome wide association studies (GWAS) or transcriptome based using microarray or RNA sequencing technology. To explore ADHD biology in humans the research described in this thesis includes both GWAS and trancriptomic data. A two-step transcriptome profiling was performed in peripheral blood mononuclear cells (PBMCs) of 143 ADHD subjects and 169 healthy controls. We combined GWAS and expression data in an expression-based Polygenic Risk Score (PRS) analysis in a total sample of 879 ADHD cases and 1919 controls from three different datasets. Through this exploratory study we found eight differentially expressed genes in ADHD and no support for the genetic background of the disorder playing a role in the aberrant expression levels identified. These results highlight promising candidate genes and gene pathways for ADHD and support the use of peripheral tissues to assess gene expression signatures for ADHD.
This thesis illustrates how both human and animal model research is required to increase our understanding of ADHD. The animal models provide biological insight into the targets identified in human studies and may themselves provide further relevant gene targets. Only by combining research from disparate sources can we develop the thorough understanding on ADHD biology required for treatment development, which is the ultimate goal of translational science research.
The small protein modifier ubiquitin is at the heart of an immensely versatile posttranslational modification system that orchestrates countless physiological and disease-associated cellular processes. Key to this versatility are the manifold modifications that can be assembled from ubiquitin “building blocks” and are associated with specific functional outcomes for the modified substrates. In particular, ubiquitin molecules can form polymeric chains of distinct lengths and linkage types that give rise to distinct chain conformations, thereby providing recognition sites for specific signaling receptors/effectors. The class of E3 enzymes (ubiquitin ligases) provides critical specificity determinants in ubiquitin linkage formation; it is therefore crucial to unravel precisely how E3 enzymes operate in order to understand the structural basis of ubiquitin signaling and exploit these insights for therapeutic benefit.
Overexpression and deregulation of the HECT-type ubiquitin ligase HUWE1 is implicated in several different cancer types and neurodegenerative disorders. It is largely unknown which factors control the ubiquitin modifications formed by HUWE1, how the catalytic HECT domain interacts with functionally distinct ubiquitin molecules (donor, acceptor and regulatory ubiquitin molecules) and which conformational transitions enable these interactions during ubiquitin chain formation.
One aim of this study was to structurally elucidate the recognition of donor ubiquitin by the HECT domain of HUWE1. To this end I utilized a ubiquitin activity-based probe to reconstitute a proxy for a donor ubiquitin-linked conjugate of the HECT domain of HUWE1 and determined its structure by X-ray crystallography. This structure reveals that the donor ubiquitin binds to the C-lobe of HUWE1 in the same way as NEDD4-type ligases, corroborating the idea that HECT ligases utilize a conserved mode of donor ubiquitin recognition. independent of their linkage and substrate specificities. With the help of biochemical analyses, I also validated specific features of the structure, in particular the positioning of the C-terminal tail of the ligase, which was known to be critical for activity. In the newly determined structure, which reflects an “L-shaped”, active state of the HECT domain, this tail is fully resolved and coordinated at the N-lobe-C-lobe interface. I defined residues that are critical for this coordination and showed that they are also essential for the activity of HUWE1, including auto-ubiquitination, free ubiquitin chain formation, and substrate ubiquitination.
Furthermore, I discovered that the N-lobe of HUWE1 harbors a ubiquitin-binding exosite similar to NEDD4-type ligases and E6AP. My in-vitro activity and binding assays show that HUWE1 uses the exosite for isopeptide bond formation, but that it is dispensable for thioester bond formation. The binding assays further show that the donor ubiquitin loaded HECT domain binds an additional ubiquitin molecule at the exosite more tightly than the apo HECT domain, which possibly suggests allosteric communication between the two sites.
Finally, I showed that the ubiquitin activity-based probe (ubiquitin-propargylamine) can label the catalytic cysteine of HUWE1 and NEDD4-type with close to quantitative turn- over, while it does not react with the HECT domain of the evolutionarily more divergent E6AP. The determinants underlying these differential reactivities remain to be explored.
Taken, together my results significantly enhance our mechanistic understanding of the catalytic domain of HUWE1 and pinpoint linchpins for therapeutic interventions with the activity of this disease-relevant enzyme.
In the past two decades, there has been a trend to move from traditional television to Internet-based video services. With video streaming becoming one of the most popular applications in the Internet and the current state of the art in media consumption, quality expectations of consumers are increasing. Low quality videos are no longer considered acceptable in contrast to some years ago due to the increased sizes and resolution of devices. If the high expectations of the users are not met and a video is delivered in poor quality, they often abandon the service. Therefore, Internet Service Providers (ISPs) and video service providers are facing the challenge of providing seamless multimedia delivery in high quality. Currently, during peak hours, video streaming causes almost 58\% of the downstream traffic on the Internet. With higher mobile bandwidth, mobile video streaming has also become commonplace. According to the 2019 Cisco Visual Networking Index, in 2022 79% of mobile traffic will be video traffic and, according to Ericsson, by 2025 video is forecasted to make up 76% of total Internet traffic. Ericsson further predicts that in 2024 over 1.4 billion devices will be subscribed to 5G, which will offer a downlink data rate of 100 Mbit/s in dense urban environments.
One of the most important goals of ISPs and video service providers is for their users to have a high Quality of Experience (QoE). The QoE describes the degree of delight or annoyance a user experiences when using a service or application. In video streaming the QoE depends on how seamless a video is played and whether there are stalling events or quality degradations. These characteristics of a transmitted video are described as the application layer Quality of Service (QoS). In general, the QoS is defined as "the totality of characteristics of a telecommunications service that bear on its ability to satisfy stated and implied needs of the user of the service" by the ITU. The network layer QoS describes the performance of the network and is decisive for the application layer QoS.
In Internet video, typically a buffer is used to store downloaded video segments to compensate for network fluctuations. If the buffer runs empty, stalling occurs. If the available bandwidth decreases temporarily, the video can still be played out from the buffer without interruption. There are different policies and parameters that determine how large the buffer is, at what buffer level to start the video, and at what buffer level to resume playout after stalling. These have to be finely tuned to achieve the highest QoE for the user. If the bandwidth decreases for a longer time period, a limited buffer will deplete and stalling can not be avoided. An important research question is how to configure the buffer optimally for different users and situations. In this work, we tackle this question using analytic models and measurement studies. With HTTP Adaptive Streaming (HAS), the video players have the capability to adapt the video bit rate at the client side according to the available network capacity. This way the depletion of the video buffer and thus stalling can be avoided. In HAS, the quality in which the video is played and the number of quality switches also has an impact on the QoE. Thus, an important problem is the adaptation of video streaming so that these parameters are optimized. In a shared WiFi multiple video users share a single bottleneck link and compete for bandwidth. In such a scenario, it is important that resources are allocated to users in a way that all can have a similar QoE. In this work, we therefore investigate the possible fairness gain when moving from network fairness towards application-layer QoS fairness. In mobile scenarios, the energy and data consumption of the user device are limited resources and they must be managed besides the QoE. Therefore, it is also necessary, to investigate solutions, that conserve these resources in mobile devices. But how can resources be conserved without sacrificing application layer QoS? As an example for such a solution, this work presents a new probabilistic adaptation algorithm that uses abandonment statistics for ts decision making, aiming at minimizing the resource consumption while maintaining high QoS.
With current protocol developments such as 5G, bandwidths are increasing, latencies are decreasing and networks are becoming more stable, leading to higher QoS. This allows for new real time data intensive applications such as cloud gaming, virtual reality and augmented reality applications to become feasible on mobile devices which pose completely new research questions. The high energy consumption of such applications still remains an issue as the energy capacity of devices is currently not increasing as quickly as the available data rates. In this work we compare the optimal performance of different strategies for adaptive 360-degree video streaming.
The following study, The Integration of Female Refugees in Germany: Perspectives of Women and an Analysis of Federal and Selected State and City Integration Policies from 1998-2019, is focused on the qualitative analysis of integration policy in Germany regarding female refugees. The states of North Rhine-Westphalia, Bavaria, and Saxony-Anhalt have been selected for this dissertation as well as the cities of Cologne, Wuerzburg, and Magdeburg. Through an analysis and comparison of integration policies and programs on the federal and selected state and city levels the question will be answered how recognized female refugees are taken into account with the development and formulation of integration policy in Germany. The analysis is then complemented through interviews with recognized female refugees in each of the states and cities. Through analyzing the results of the interviews the question will be answered how the women view their situation and integration. Through a comparison of the findings from the policy analysis and the interviews it will then be able to decipher if integration policies and programs are truly reaching their target group, if they are effective, or what hurdles they may be producing. The goal of the study is to provide initial findings on the overall integration of recognized female refugees in Germany in connection to integration policies in order to discover potential deficits or ineffective programs and policies which can then be further researched in order to produce concrete policy suggestions.
The first Borono-Strecker reaction has been developed to synthesize α-aminoboronates via a multicomponent reaction of readily available carbonyl compounds (aldehydes and ketones), amines and B2pin2. The preparation of α-amino cyclic boronates can be achieved via multicomponent coupling of salicylaldehydes, amines, and B2(OH)4. In addition, the diazaborole-based PBP pincer palladium chloride and the diazaborole-based PBP pincer palladium trifluoromethanesulfonate complexes were synthesized and fully characterized for the first time, and used as catalysts for Suzuki-Miyaura cross-coupling reactions.
To diagnose diseases correctly requires not only trained and skilled personnel, but also cost-intensive and complex equipment. Rapid tests can help with the initial evaluation, but result generation can also take up to several hours, depending on the test system. At this point, novel bioresponsive diagnostic systems are used, responding to the disease related shift of biological processes. They monitor changes in the biological environment and can react to them e.g. with the release of substances. This can be used in drug delivery formulations but can also help to diagnose diseases occurring in the oral cavity and inform patients of their state of health. The tongue is herein used as a 24/7 available detector.
In section I of this work, the foundation for the development of these diagnostic systems was laid. A suitable flavoring agent was found, which is stable, can be coupled to the N-terminus of peptides and has a strongly conceivable taste. For the optimization of the protease-sensitive linker (PSL), an analytical system was established (PICS assay), which determines protease-specific cleavable amino acid sequences. In order to replace the PMMA particles previously required, an acetyl protecting group was introduced N-terminally as it protects peptides and proteins in the human body from degradation by human aminopeptidase. The new synthesized flavor was examined with a NIH cell line for cytotoxicity and with an electronic tongue setup for its bitterness.
Section II deals with the structure of a system which detects severe inflammations in the oral cavity, e.g. PA. The established PICS assay was used to confirm the previously used PSL sequence in its application. Using solid phase peptide synthesis, 3 linkers were synthesized which respond to the elevated MMP concentrations present in inflammation. The resulting peptides were acetylated and coupled with HATU/DIPEA to the modified denatonium. Cutting experiments with MMPs over different concentration and time ranges confirmed the response of the diagnostic sensor to these enzymes. The obtained construct was examined for cell toxicity by WST assay. The masked bitterness of the sensors was confirmed by an electronic tongue setup.
To address non-human proteases (and thereby infections), section III focuses on the establishment of detection system of a cysteine protease SpeB expressed by Streptococcus pyogenes. The in-house expression of SpeB using E. coli cells was established for this purpose. An analysis of the SpeB cleavage sites was performed using a PICS assay setup. Four constructs with different PSL were synthesized analogous to section II. Cleavage experiments with the expressed and purified SpeB showed a response of two constructs to the protease. In addition, a system was established to quantify the concentration of SpeB in human saliva using western blot technique with subsequent quantification.
In section IV a compound was synthesized which can now be coupled to a flavor. The final coupled construct is able to detect present NA activity specifically from influenza A and B. The market for existing influenza diagnostics was explored to determine the need for such a system. A neuraminic acid was modified in positions 4 and 7 and protected in such a way that subsequent coupling via the hydroxy-group in position 2 was selectively possible.
In summary, this results in a diagnostic platform that can be used anywhere, by anyone and at any time. This represents a new dimension in the rapid diagnosis of inflammations and bacterial or viral infections.
Main objectives of the present dissertation can be divided in two parts. The first part deals with setting up a spectroscopic technique for reliable and accurate measurements of the two-photon absorption (2PA) cross section spectra. In the second part, this firmly established experimental technique together with conventional spectroscopic characterization, quantum-chemical computations and theoretical modelling calculations was combined and therefore used as a tool to gain information for the so-called structure-property relationship through several molecular compounds.
In light of the rapidly increasing global demand of energy and the negative effects of climate change, innovative solutions that allow an efficient transition to a carbon-neutral economy are urgently needed. In this context, artificial photosynthesis is emerging as a promising technology to enable the storage of the fluctuating energy of sunlight in chemical bonds of transportable “solar fuels”. Thus, in recent years much efforts have been devoted to the development of robust water oxidation catalysts (WOCs) leading to the discovery of the highly reactive Ru(bda) (bda: 2,2’-bipyridine-6,6’-dicarboxylic acid) catalyst family. The aim of this thesis was the study of chemical and photocatalytic water oxidation with functionalized Ruthenium macrocycles to explore the impact of substituents on molecular properties and catalytic activities of trinuclear macrocyclic Ru(bda) catalysts. A further objective of this thesis comprises the elucidation of factors that influence the light-driven water oxidation process with this novel class of supramolecular WOCs.
This thesis aims at providing efficient and side-channel protected implementations of isogeny-based primitives, and at their application in threshold protocols. It is based on a sequence of academic papers.
Chapter 3 reviews the original variable-time implementation of CSIDH and introduces several optimizations, e.g. a significant improvement of isogeny computations by using both Montgomery and Edwards curves. In total, our improvements yield a speedup of 25% compared to the original implementation.
Chapter 4 presents the first practical constant-time implementation of CSIDH. We describe how variable-time implementations of CSIDH leak information on private keys, and describe ways to mitigate this. Further, we present several techniques to speed up the implementation. In total, our constant-time implementation achieves a rather small slowdown by a factor of 3.03.
Chapter 5 reviews practical fault injection attacks on CSIDH and presents countermeasures. We evaluate different attack models theoretically and practically, using low-budget equipment. Moreover, we present countermeasures that mitigate the proposed fault injection attacks, only leading to a small performance overhead of 7%.
Chapter 6 initiates the study of threshold schemes based on the Hard Homogeneous Spaces (HHS) framework of Couveignes. Using the HHS equivalent of Shamir’s secret sharing in the exponents, we adapt isogeny based schemes to the threshold setting. In particular, we present threshold versions of the CSIDH public key encryption and the CSI-FiSh signature scheme.
Chapter 7 gives a sieving algorithm for finding pairs of consecutive smooth numbers that utilizes solutions to the Prouhet-Tarry-Escott (PTE) problem. Recent compact isogeny-based protocols, namely B-SIDH and SQISign, both require large primes that lie between two smooth integers. Finding such a prime can be seen as a special case of finding twin smooth integers under the additional stipulation that their sum is a prime.
The projects presented in this thesis cover the examination of the electronic and structural properties of organic thin films at noble metal-organic interfaces. Angle-resolved photoemission spectroscopy is used as the primary investigative tool due to the connection of the emitted photoelectrons to the electronic structure of the sample. The surveyed materials are of relevance for fundamental research and practical applications on their own, but also serve as archetypes for the photoemission techniques presented throughout the four main chapters of this thesis. The techniques are therefore outlined with their adaptation to other systems in mind and a special focus on the proper description of the final state.
The most basic description of the final state that is still adequate for the evaluation of photoemission data is a plane wave. Its simplicity enables a relatively intuitive interpretation of photoemission data, since the initial and final state are related to one another by a Fourier transform and a geometric factor in this approximation. Moreover, the initial states of some systems can be reconstructed in three dimensions by combining photoemission measurements at various excitation energies. This reconstruction can even be carried out solely based on experimental data by using suitable iterative algorithms.
Since the approximation of the final state in the photoemission process by a plane wave is not valid in all instances, knowledge on the limitations of its applicability is indispensable. This can be gained by a comparison to experimental data as well as calculations with a more detailed description of the photoemission final state. One possible appraoch is based on independently emitting atoms where the coherent superposition of partial, atomic final states produces the total final state. This approach can also be used for more intricate studies on organic thin films. To this end, experimental data can be related to theoretical calculations to gain extensive insights into the structural and electronic properties of molecules in organic thin films.
Chapter 1 – General Introduction
One of the greatest challenges of ecological research is to predict the response of ecosystems to global change; that is to changes in climate and land use. A complex question in this context is how changing environmental conditions affect ecosystem processes at different levels of communities. To shed light on this issue, I investigate drivers of biodiversity on the level of species richness, functional traits and species interactions in cavity-nesting Hymenoptera. For this purpose, I take advantage of the steep elevational gradient of Mt. Kilimanjaro that shows strong environmental changes on a relatively small spatial scale and thus, provides a good environmental scenario for investigating drivers of diversity. In this thesis, I focus on 1) drivers of species richness at different trophic levels (Chapter 2); 2) seasonal patterns in nest-building activity, life-history traits and ecological rates in three different functional groups and at different elevations (Chapter 3) and 3) changes in cuticular hydrocarbons, pollen composition and microbiomes in Lasioglossum bees caused by climatic variables (Chapter 4).
Chapter 2 – Climate and food resources shape species richness and trophic interactions of cavity-nesting Hymenoptera
Drivers of species richness have been subject to research for centuries. Temperature, resource availability and top-down regulation as well as the impact of land use are considered to be important factors in determining insect diversity. Yet, the relative importance of each of these factors is unknown. Using trap nests along the elevational gradient of Mt. Kilimanjaro, we tried to disentangle drivers of species richness at different trophic levels. Temperature was the major driver of species richness across trophic levels, with increasing importance of food resources at higher trophic levels in natural antagonists. Parasitism rate was both related to temperature and trophic level, indicating that the relative importance of bottom-up and top-down forces might shift with climate change.
Chapter 3 – Seasonal variation in the ecology of tropical cavity-nesting Hymenoptera
Natural populations fluctuate with the availability of resources, presence of natural enemies and climatic variations. But tropical mountain seasonality is not yet well investigated. We investigated seasonal patterns in nest-building activity, functional traits and ecological rates in three different insect groups at lower and higher elevations separately. Insects were caught with trap nests which were checked monthly during a 17 months period that included three dry and three rainy seasons. Insects were grouped according to their functional guilds. All groups showed strong seasonality in nest-building activity which was higher and more synchronised among groups at lower elevations. Seasonality in nest building activity of caterpillar-hunting and spider-hunting wasps was linked to climate seasonality while in bees it was strongly linked to the availability of flowers, as well as for the survival rate and sex ratio of bees. Finding adaptations to environmental seasonality might imply that further changes in climatic seasonality by climate change could have an influence on life-history traits of tropical mountain species.
Chapter 4 – Cryptic species and hidden ecological interactions of halictine bees along an elevational Gradient
Strong environmental gradients such as those occurring along mountain slopes are challenging for species. In this context, hidden adaptations or interactions have rarely been considered. We used bees of the genus Lasioglossum as model organisms because Lasioglossum is the only bee genus occurring with a distribution across the entire elevational gradient at Mt. Kilimanjaro. We asked if and how (a) cuticular hydrocarbons (CHC), which act as a desiccation barrier, change in composition and chain length along with changes in temperature and humidity (b), Lasioglossum bees change their pollen diet with changing resource availability, (c) gut microbiota change with pollen diet and climatic conditions, and surface microbiota change with CHC and climatic conditions, respectively, and if changes are rather influenced by turnover in Lasioglossum species along the elevational gradient. We found physiological adaptations with climate in CHC as well as changes in communities with regard to pollen diet and microbiota, which also correlated with each other. These results suggest that complex interactions and feedbacks among abiotic and biotic conditions determine the species composition in a community.
Chapter 5 – General Discussion
Abiotic and biotic factors drove species diversity, traits and interactions and they worked differently depending on the functional group that has been studied, and whether spatial or temporal units were considered. It is therefore likely, that in the light of global change, different species, traits and interactions will be affected differently. Furthermore, increasing land use intensity could have additional or interacting effects with climate change on biodiversity, even though the potential land-use effects at Mt. Kilimanjaro are still low and not impairing cavity-nesting Hymenoptera so far. Further studies should address species networks which might reveal more sensitive changes. For that purpose, trap nests provide a good model system to investigate effects of global change on multiple trophic levels and may also reveal direct effects of climate change on entire life-history traits when established under different microclimatic conditions. The non-uniform effects of abiotic and biotic conditions on multiple aspects of biodiversity revealed with this study also highlight that evaluating different aspects of biodiversity can give a more comprehensive picture than single observations.
The liver plays a pivotal role in maintaining energy homeostasis. Hepatic carbohydrate and lipid metabolism are tightly regulated in order to adapt quickly to changes in nutrient availability. Postprandially, the liver lowers the blood glucose levels and stores nutrients in form of glycogen and triglycerides (TG). In contrast, upon fasting, the liver provides glucose, TG, and ketone bodies. However, obesity resulting from a discrepancy in food intake and energy expenditure leads to abnormal fat accumulation in the liver, which is associated with the development of hepatic insulin resistance, non-alcoholic fatty liver disease, and diabetes. In this context, hepatic insulin resistance is directly linked to the accumulation of diacylglycerol (DAG) in the liver. Besides being an intermediate product of TG synthesis, DAG serves as second messenger in response to G-protein coupled receptor signaling. Protein kinase D (PKD) family members are DAG effectors that integrate multiple metabolic inputs. However, the impact of PKD signaling on liver physiology has not been studied so far. In this thesis, PKD3 was identified as the predominantly expressed isoform in liver. Stimulation of primary hepatocytes with DAG as well as high-fat diet (HFD) feeding of mice led to an activation of PKD3, indicating its relevance during obesity. HFD-fed mice lacking PKD3 specifically in hepatocytes displayed significantly improved glucose tolerance and insulin sensitivity. However, at the same time, hepatic deletion of PKD3 in mice resulted in elevated liver weight as a consequence of increased hepatic lipid accumulation. Lack of PKD3 in hepatocytes promoted sterol regulatory element-binding protein (SREBP)-mediated de novo lipogenesis in vitro and in vivo, and thus increased hepatic triglyceride and cholesterol content. Furthermore, PKD3 suppressed the activation of SREBP by impairing the activity of the insulin effectors protein kinase B (AKT) and mechanistic target of rapamycin complexes (mTORC) 1 and 2. In contrast, liver-specific overexpression of constitutive active PKD3 promoted glucose intolerance and insulin resistance. Taken together, lack of PKD3 improves hepatic insulin sensitivity but promotes hepatic lipid accumulation. For this reason, manipulating PKD3 signaling might be a valid strategy to improve hepatic lipid content or insulin sensitivity. However, the exact molecular mechanism by which PKD3 regulates hepatocytes metabolism remains unclear.
Unbiased proteomic approaches were performed in order to identify PKD3 phosphorylation targets. In this process, numerous potential targets of PKD3 were detected, which are implicated in different aspects of cellular metabolism. Among other hits, phenylalanine hydroxylase (PAH) was identified as a target of PKD3 in hepatocytes. PAH is the enzyme that is responsible for the conversion of phenylalanine to tyrosine. In fact, manipulation of PKD3 activity using genetic tools confirmed that PKD3 promotes PAH-dependent conversion of phenylalanine to tyrosine. Therefore, the data in this thesis suggests that PKD3 coordinates lipid and amino acid metabolism in the liver and contributes to the development of hepatic dysfunction.
We employ the AdS/CFT correspondence and hydrodynamics to analyze the transport properties of \(2+1\) dimensional electron fluids. In this way, we use theoretical methods from both condensed matter and high-energy physics to derive tangible predictions that are directly verifiable in experiment.
The first research topic we consider is strongly-coupled electron fluids. Motivated by early results by Gurzhi on the transport properties of weakly coupled fluids, we consider whether similar properties are manifest in strongly coupled fluids. More specifically, we focus on the hydrodynamic tail of the Gurzhi effect: A decrease in fluid resistance with increasing temperature due to the formation of a Poiseuille flow of electrons in the sample. We show that the hydrodynamic tail of the Gurzhi effect is also realized in strongly coupled and fully relativistic fluids, but with modified quantitative features. Namely, strongly-coupled fluids always exhibit a smaller resistance than weakly coupled ones and are, thus, far more efficient conductors. We also suggest that the coupling dependence of the resistance can be used to measure the coupling strength of the fluid. In view of these measurements, we provide analytical results for the resistance as a function of the shear viscosity over entropy density \(\eta/s\) of the fluid. \(\eta/s\) is itself a known function of the coupling strength in the weak and infinite coupling limits.
In further analysis for strongly-coupled fluids, we propose a novel strongly coupled Dirac material based on a kagome lattice, Scandium-substituted Herbertsmithite (ScHb). The large coupling strength of this material, as well as its Dirac nature, provides us with theoretical and experimental access to non-perturbative relativistic and quantum critical physics. A highly suitable method for analyzing such a material's transport properties is the AdS/CFT correspondence. Concretely, using AdS/CFT we derive an estimate for ScHb's \(\eta/s\) and show that it takes a value much smaller than that observed in weakly coupled materials. In turn, the smallness of \(\eta/s\) implies that ScHb's Reynolds number, \(Re\), is large. In fact, \(Re\) is large enough for turbulence, the most prevalent feature of fluids in nature, to make its appearance for the first time in electronic fluids.
Switching gears, we proceed to the second research topic considered in this thesis: Weakly coupled parity-breaking electron fluids. More precisely, we analyze the quantitative and qualitative changes to the classical Hall effect, for electrons propagating hydrodynamically in a lead. Apart from the Lorentz force, a parity-breaking fluid's motion is also impacted by the Hall-viscous force; the shear-stress force induced by the Hall-viscosity. We show that the interplay of these two forces leads to a hydrodynamic Hall voltage with non-linear dependence on the magnetic field. More importantly, the Lorentz and Hall-viscous forces become equal at a non-vanishing magnetic field, leading to a trivial hydrodynamic Hall voltage. Moreover, for small magnetic fields we provide analytic results for the dependence of the hydrodynamic Hall voltage on all experimentally-tuned parameters of our simulations, such as temperature and density. These dependences, along with the zero of the hydrodynamic Hall voltage, are distinct features of hydrodynamic transport and can be used to verify our predictions in experiments.
Last but not least, we consider how a distinctly electronic property, spin, can be included into the hydrodynamic framework. In particular, we construct an effective action for non-dissipative spin hydrodynamics up to first order in a suitably defined derivative expansion. We also show that interesting spin-transport effects appear at second order in the derivative expansion. Namely, we show that the fluid's rotation polarizes its spin. This is the hydrodynamic manifestation of the Barnett effect and provides us with an example of hydrodynamic spintronics.
To conclude this thesis, we discuss several possible extensions of our research, as well as proposals for research in related directions.