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Sonstige beteiligte Institutionen
Extreme value theory is concerned with the stochastic modeling of rare and extreme events. While fundamental theories of classical stochastics - such as the laws of small numbers or the central limit theorem - are used to investigate the asymptotic behavior of the sum of random variables, extreme value theory focuses on the maximum or minimum of a set of observations. The limit distribution of the normalized sample maximum among a sequence of independent and identically distributed random variables can be characterized by means of so-called max-stable distributions.
This dissertation concerns with different aspects of the theory of max-stable random vectors and stochastic processes. In particular, the concept of 'differentiability in distribution' of a max-stable process is introduced and investigated. Moreover, 'generalized max-linear models' are introduced in order to interpolate a known max-stable random vector by a max-stable process. Further, the connection between extreme value theory and multivariate records is established. In particular, so-called 'complete' and 'simple' records are introduced as well as it is examined their asymptotic behavior.
Anxiety disorders (AD) are common, disabling mental disorders, which constitute the most prevalent mental health condition conveying a high individual and socioeconomic burden. Social anxiety disorder (SAD), i.e. fear in social situations particularly when subjectively scrutinized by others, is the second most common anxiety disorder with a life time prevalence of 10%. Panic disorder (PD) has a life time prevalence of 2-5% and is characterized by recurrent and abrupt surges of intense fear and anticipatory anxiety, i.e. panic attacks, occurring suddenly and unexpected without an apparent cue.
In recent years, psychiatric research increasingly focused on epigenetic mechanisms such as DNA methylation as a possible solution for the problem of the so-called “hidden heritability”, which conceptualizes the fact that the genetic risk variants identified so far only explain a small part of the estimated heritability of mental disorders.
In the first part of this thesis, oxytocin receptor (OXTR) gene methylation was investigated regarding its role in the pathogenesis of social anxiety disorder. In summary, OXTR methylation patterns were implicated in different phenotypes of social anxiety disorder on a categorical, neuropsychological, neuroendocrinological as well as on a neural network level. The results point towards a multilevel role of OXTR gene hypomethylation particularly at one CpG site (CpG3, Chr3: 8 809 437) within the protein coding region of the gene in SAD.
The second part of the thesis investigated monoamine oxidase A (MAOA) gene methylation regarding its role in the pathogenesis of panic disorder as well as – applying a psychotherapy-epigenetic approach – its dynamic regulation during the course of cognitive behavioural therapy (CBT) in PD patients. First, MAOA hypomethylation was shown to be associated with panic disorder as well as with panic disorder severity. Second, in patients responding to treatment MAOA hypomethylation was shown to be reversible up to the level of methylation in healthy controls after the course of CBT. This increase in MAOA methylation along with successful psychotherapeutic treatment was furthermore shown to be associated with symptom improvement regarding agoraphobic avoidance in an independent replication sample of non-medicated patients with PD.
Taken together, in the future the presently identified epigenetic patterns might contribute to establishing targeted preventive interventions and personalized treatment options for social anxiety disorder or panic disorder, respectively.
Amyotrophic lateral sclerosis and spinal muscular atrophy are the two most common motoneuron diseases. Both are characterized by destabilization of axon terminals, axon degeneration and alterations in neuronal cytoskeleton. Accumulation of neurofilaments has been observed in several neurodegenerative diseases but the mechanisms how elevated neurofilament levels destabilize axons are unknown so far. Here, I show that increased neurofilament expression in motor nerves of pmn mutant mice causes disturbed microtubule dynamics. Depletion of neurofilament by Nefl knockout increases the number and regrowth of microtubules in pmn mutant motoneurons and restores axon elongation. This effect is mediated by interaction of neurofilament with the stathmin complex. Depletion of neurofilament increases stathmin-Stat3 interaction and stabilizes the microtubules. Consequently, the axonal maintenance is improved and the pmn mutant mice survive longer. We propose that this mechanism could also be relevant for other neurodegenerative diseases in which neurofilament accumulation is a prominent feature.
Next, using Smn-/-;SMN2 mouse as a model, the molecular mechanism behind synapse loss in SMA is studied. SMA is characterized by degeneration of lower α-motoneurons in spinal cord; however, how reduction of ubiquitously expressed SMN leads to MN-specific degeneration remains unclear. SMN is involved in pre-mRNA splicing (Pellizzoni, Kataoka et al. 1998) and its deficiency in SMA affects the splicing machinery. Neuromuscular junction denervation precedes neurodegeneration in SMA. However, there is no evidence of a link between aberrant splicing of transcripts downstream of Smn and reduced presynaptic axon excitability observed in SMA. In this study, we observed that expression and splicing of Nrxn2, that encodes a presynaptic protein is affected in the SMA mouse and that Nrxn2 could be a candidate that relates aberrant splicing to synaptic motoneuron defects in SMA.
Software frameworks for Realtime Interactive Systems (RIS), e.g., in the areas of Virtual, Augmented, and Mixed Reality (VR, AR, and MR) or computer games, facilitate a multitude of functionalities by coupling diverse software modules. In this context, no uniform methodology for coupling these modules does exist; instead various purpose-built solutions have been proposed. As a consequence, important software qualities, such as maintainability, reusability, and adaptability, are impeded.
Many modern systems provide additional support for the integration of Artificial Intelligence (AI) methods to create so called intelligent virtual environments. These methods exacerbate the above-mentioned problem of coupling software modules in the thus created Intelligent Realtime Interactive Systems (IRIS) even more. This, on the one hand, is due to the commonly applied specialized data structures and asynchronous execution schemes, and the requirement for high consistency regarding content-wise coupled but functionally decoupled forms of data representation on the other.
This work proposes an approach to decoupling software modules in IRIS, which is based on the abstraction of architecture elements using a semantic Knowledge Representation Layer (KRL). The layer facilitates decoupling the required modules, provides a means for ensuring interface compatibility and consistency, and in the end constitutes an interface for symbolic AI methods.
In this thesis two main projects are presented, both aiming at the overall goal
of particle detector development. In the first part of the thesis detailed shielding
studies are discussed, focused on the shielding section of the planned New Small
Wheel as part of the ATLAS detector upgrade. Those studies supported the discussions
within the upgrade community and decisions made on the final design of
the New Small Wheel. The second part of the thesis covers the design, construction
and functional demonstration of a test facility for gaseous detectors at the
University of Würzburg. Additional studies on the trigger system of the facility are
presented. Especially the precision and reliability of reference timing signals were
investigated.
G-quadruplex structures are highly stable alternative DNA structures that can, when not properly regulated, impede replication fork progression and cause genome instability (Castillo Bosch et al, 2014; Crabbe et al, 2004; Koole et al, 2014; Kruisselbrink et al, 2008; London et al, 2008; Lopes et al, 2011; Paeschke et al, 2013; Paeschke et al, 2011; Piazza et al, 2015; Piazza et al, 2010; Piazza et al, 2012; Ribeyre et al, 2009; Sabouri et al, 2014; Sarkies et al, 2012; Sarkies et al, 2010; Schiavone et al, 2014; Wu & Spies, 2016; Zimmer et al, 2016). The aim of this thesis was to identify novel G-quadruplex interacting proteins in Saccharomyces cerevisiae and to unravel their regulatory function at these structures to maintain genome integrity. Mms1 and Rtt101 were identified as G-quadruplex binding proteins in vitro via a pull-down experiment with subsequent mass spectrometry analysis. Rtt101, Mms1 and Mms22, which are all components of an ubiquitin ligase (Rtt101Mms1/Mms22), are important for the progression of the replication fork following fork stalling (Luke et al, 2006; Vaisica et al, 2011; Zaidi et al, 2008). The in vivo binding of endogenously tagged Mms1 to its target regions was analyzed genome-wide using chromatin-immunoprecipitation followed by deep-sequencing. Interestingly, Mms1 bound independently of Mms22 and Rtt101 to G-rich regions that have the potential to form G-quadruplex structures. In vitro, formation of G-quadruplex structures could be shown for the G-rich regions Mms1 bound to. This binding was observed throughout the cell cycle. Furthermore, the deletion of MMS1 caused replication fork stalling as evidenced by increased association of DNA Polymerase 2 at Mms1 dependent sites. A gross chromosomal rearrangement assay revealed that deletion of MMS1 results in a significantly increased genome instability at G-quadruplex motifs compared to G-rich or non-G-rich regions. Additionally, binding of the helicase Pif1, which unwinds G4 structures in vitro (Paeschke et al, 2013; Ribeyre et al, 2009; Sanders, 2010; Wallgren et al, 2016), to Mms1 binding sites was reduced in mms1 cells. The data presented in this thesis, together with published data, suggests a novel mechanistic model in which Mms1 binds to G-quadruplex structures and enables Pif1 association. This allows for replication fork progression and genome integrity.
The impurity profiling of pharmaceutical ingredients can oppose many challenges. The best part of active pharmaceutical ingredients (APIs) and the related substances are detectable by UV detection, a very common detection principle. However, if an API lacks a suitable chromophore other means of detection are necessary. The corona charged aerosol detector (CAD) is a detector capable of detecting substances independent of their chemical structure. This “universal” detector has only one limitation: The analyte has to have a sufficiently low vapor pressure. Another important challenge that comes often together with the lack of a chromophore concerns the separation. These substances (e.g. most amino acids and derivatives) often contain structures that make them difficult to retain on conventional reversed phase columns.
Possible solutions to overcome these challenges, like the application of the CAD and the benefit of so-called mixed-mode stationary phases in impurity profiling for pharmacopoeial purposes were explored in this work. The related substances analyzed in this thesis comprise amino acids, inorganic ions, bisphosphonic acids, basic and acidic derivatives of amino acids (esters and amides).
The successful development and validation of mixed-mode liquid chromatography methods with CAD detection for carbocisteine and ibandronate sodium might help to increase the acceptance of this versatile detector in the pharmaceutical industry and in official authorities dealing with the determination of related substances.
The combination of UV and CAD detection proved very useful during the analysis of Bicisate. Most of the related substances and some unidentified impurities were detectable by CAD whereas a synthesis by-product, a semi-volatile ester, was only detectable in the UV trace. The simple combination covers all relevant impurities in a single analysis.
Two truly orthogonal methods regarding separation and detection for the enantiomeric purity of magnesium-L-aspartate helped to find the reason for elevated D aspartic acid content in the drug substance. A very quick and sensitive indirect separation using the OPA derivatization with NAC was developed as a powerful screening tool, whereas the direct separation of D- and L-CBQCA-Asp derivatives confirmed the results. Both methods were optimized in order to do without substances mentioned on the REACH list, like sodium tetraborate which is very frequently applied in standard derivatization protocols and CE separations.
The importance of orthogonal detection principles in the determination of related substances of amino acids was discussed in a review article dealing with the revision of amino acid monographs in the Ph. Eur..
The present work addressed the influence of spins on fundamental processes in organic
semiconductors. In most cases, the role of spins in the conversion of sun light
into electricity was of particular interest. However, also the reversed process, an electric
current creating luminescence, was investigated by means of spin sensitive measurements.
In this work, many material systems were probed with a variety of innovative
detection techniques based on electron paramagnetic resonance spectroscopy.
More precisely, the observable could be customized which resulted in the experimental
techniques photoluminescence detected magnetic resonance (PLDMR), electrically
detected magnetic resonance (EDMR), and electroluminescence detected magnetic
resonance (ELDMR). Besides the commonly used continuous wave EPR spectroscopy,
this selection of measurement methods yielded an access to almost all intermediate
steps occurring in organic semiconductors during the conversion of light into electricity
and vice versa. Special attention was paid to the fact that all results were applicable
to realistic working conditions of the investigated devices, i.e. room temperature application and realistic illumination conditions.
The protozoan parasite Trypanosoma brucei is the causal agent of sleeping sickness and besides its epidemiological importance it has been used as model organism for the study of many aspects of cellular and molecular biology especially the post-transcriptional control of gene expression.
Several studies in the last 30 years have shown the importance of mRNA processing and stability for gene regulation. In T. brucei genes are unusually arranged in polycistronic transcription units (PTUs) and a coupled process of trans-splicing and polyadenylation produces the mature mRNAs. Both processes, mRNA processing and stability, cannot completely explain the control of gene expression in the different life cycle stages analyzed in T. brucei so far.
In recent years, the relevance of expression regulation at the level of translation has become evident in other eukaryotes. Therefore, in the first part of my thesis I studied the impact of translational regulation by means of a genome-wide ribosome profiling approach. My data suggest that translational efficiencies vary between life cycle stages of the parasite as well as between genes within one life cycle stage. Furthermore, using ribosome profiling I was able to identify many new putative un-annotated coding sequences and to evaluate the coding potential of upstream open reading frames (uORF). Comparing my results with previously published proteomic and RNA interference (RNAi) target sequencing (RIT-seq) datasets allowed me to validate some of the new coding sequences and to evaluate their relevance for the fitness of the parasite.
In the second part of my thesis I used the transcriptomic and translatomic profiles obtained from the ribosome profiling analysis for the identification of putative non-coding RNAs (ncRNAs). These results led to the analysis of the coding potential in the regions upstream and downstream of the expressed variant surface glycoprotein (VSG), which is outlined in the third part of the results section. The region upstream of the VSG, the co-transposed region (CTR), has been implicated in an increase of the in situ switching rate upon its deletion. The ribosome profiling results indicated moderate transcription but not translation in this region. These results raised the possibility that the CTR may be transcribed into ncRNA. Therefore, in the third part of my thesis, I performed a primary characterization of the CTR-derived transcripts based on northern blotting and RACE. The results suggested the presence of a unique transcript species of about 1,200 nucleotides (nt) and polyadenylated at the 3’-end of the sequence.
The deletion of the CTR sequence promoting and increase of the in situ switching rates was performed around 20 years ago by means of inserting reporter genes. With the recent development of endonuclease-based tools for genome editing, it is now possible to delete sequences in a marker-free way. In the fourth part of my thesis, I show the results on the implementation of the highly efficient genome-editing CRISPR-Cas9 system in T. brucei using episomes. As a proof of principle, I inserted the sequence coding for the enhanced green fluorescent protein (eGFP) at the end of the SCD6 coding sequence (CDS). Fluorescent cells were observed as early as two days after transfection. Therefore, after the successful set up of the CRISPR-Cas9 system it will be possible to modify genomic regions with more relevance for the biology of the parasite, such as the substitution of codons present in gene tandem arrays.
The implementation of ribosome profiling in T. brucei opens the opportunity for the study of translational regulation in a genome-wide scale, the re-annotation of the currently available genome, the search for new putative coding sequences, the detection of putative ncRNAs, the evaluation of the coding potential in uORFs and the role of unstranslated regions (UTRs) in the regulation of translation. In turn, the implementation of the CRISPR-Cas9 system offers the possibility to manipulate the genome of the parasite at a nucleotide resolution and without the need of including resistant makers. The CRISPR-Cas9 system is a powerful tool for editing ncRNAs, UTRs, multicopy gene families and CDSs keeping their endogenous UTRs. Moreover, the system can be used for the modification of both alleles after just one round of transfection and of codons coding for amino acids carrying post-translational modifications (PTMs) among other possibilities.
Gambling is a popular activity in Germany, with 40% of a representative sample reporting having gambled at least once in the past year (Bundeszentrale für gesundheitliche Aufklärung, 2014). While the majority of gamblers show harmless gambling behavior, a subset develops serious problems due to their gambling, affecting their psychological well-being, social life and work. According to recent estimates, up to 0.8% of the German population are affected by such pathological gambling. People in general and pathological gamblers in particular show several cognitive distortions, that is, misconceptions about the chances of winning and skill involvement, in gambling. The current work aimed at elucidating the biopsychological basis of two such kinds of cognitive distortions, the illusion of control and the gambler’s and hot hand fallacies, and their modulation by gambling problems. Therefore, four studies were conducted assessing the processing of near outcomes (used as a proxy for the illusion of control) and outcome sequences (used as a proxy for the gambler’s and hot hand fallacies) in samples of varying degrees of gambling problems, using a multimethod approach.
The first study analyzed the processing and evaluation of near outcomes as well as choice behavior in a wheel of fortune paradigm using electroencephalography (EEG). To assess the influence of gambling problems, a group of problem gamblers was compared to a group of controls. The results showed that there were no differences in the processing of near outcomes between the two groups. Near compared to full outcomes elicited smaller P300 amplitudes. Furthermore, at a trend level, the choice behavior of participants showed signs of a pattern opposite to the gambler’s fallacy, with longer runs of an outcome color leading to increased probabilities of choosing this color again on the subsequent trial. Finally, problem gamblers showed smaller feedback-related negativity (FRN) amplitudes relative to controls.
The second study also targeted the processing of near outcomes in a wheel of fortune paradigm, this time using functional magnetic resonance imaging and a group of participants with varying degrees of gambling problems. The results showed increased activity in the bilateral superior parietal cortex following near compared to full outcomes.
The third study examined the peripheral physiology reactions to near outcomes in the wheel of fortune. Heart period and skin conductance were measured while participants with varying degrees of gambling problems played on the wheel of fortune. Near compared to full outcomes led to increased heart period duration shortly after the outcome. Furthermore, heart period reactions and skin conductance responses (SCRs) were modulated by gambling problems. Participants with high relative to low levels of gambling problems showed increased SCRs to near outcomes and similar heart period reactions to near outcomes and full wins.
The fourth study analyzed choice behavior and sequence effects in the processing of outcomes in a coin toss paradigm using EEG in a group of problem gamblers and controls. Again, problem gamblers showed generally smaller FRN amplitudes compared to controls. There were no differences between groups in the processing of outcome sequences. The break of an outcome streak led to increased power in the theta frequency band. Furthermore, the P300 amplitude was increased after a sequence of previous wins. Finally, problem gamblers compared to controls showed a trend of switching the outcome symbol relative to the previous outcome symbol more often.
In sum, the results point towards differences in the processing of near compared to full outcomes in brain areas and measures implicated in attentional and salience processes. The processing of outcome sequences involves processes of salience attribution and violation of expectations. Furthermore, problem gamblers seem to process near outcomes as more win-like compared to controls. The results and their implications for problem gambling as well as further possible lines of research are discussed.