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- Graduate School of Life Sciences (28)
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Sonstige beteiligte Institutionen
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.
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.
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.
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.
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.
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.