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This dissertation examines the language of politics of leading figures of the ex-Free Aceh Movement or Gerakan Aceh Merdeka‟ (GAM) leading figures in selected Aceh media during the 2012 gubernatorial election campaign. By analyzing their symbolic acts, topic selection, campaign methods, and campaign locations as reported in five selected Aceh media, I demonstrate the process of ex-GAM political rhetoric in the post-conflict election setting. The mixed method approach used in the dissertation includes the following: grounded, content analysis, case study, and rhetorical analysis. Data were collected from three local daily broadsheet newspapers (Serambi Indonesia, Rakyat Aceh and Harian Aceh) and two online news portals (The Atjeh Post and The Globe Journal). The research found that ex-GAM political rhetoric was deeply divided into two opposing political camps: the Irwandi camp as the incumbent independent and the PA camp as the challenger from a newly-established local political party. Both camps highlighted the importance of expressive symbolic acts, such as explaining and making promises in their campaigns. Irwandi introduced more varied, specific, practical, and concrete topics in its rhetoric with diverse and less formal campaign methods that appealed to those who envision a prosperous future in Aceh. By contrast, PA employed general, unrealistic, and abstract topics in its rhetoric with less attractive and more formal campaign methods that appealed to emotional and historical romanticism. In relation to ex-GAM political rhetoric and campaign locations, both focused on the traditional regions in northeast Aceh or in the conflict-sensitive regions where most of their loyalists reside, and on big regencies/cities where the potential voters live. However, during the campaign Irwandi appeared less frequently in ethnically diverse locations, whereas PA appeared more in non-traditional regions such as the previously isolated and less-developed regions in the central highlands and southeast regions of Aceh. In this way they highlighted the rhetoric of economic and infrastructure development and that of unity in diversity taking into account the multi-ethnicity of the voters. In terms of overall media appearances, except in The Atjeh Post, where Muzakir Manaf from PA was dominant, Irwandi Yusuf was the most-reported ex-GAM during the election campaign in the selected media. Finally, the available evidence seems to suggest that Irwandi‘s language of politics was rhetorically more attractive than that of other ex-GAM leaders.
Dissecting the complexities of mammalian heart development and regenerative capacity require thorough understanding of the underlying molecular mechanisms through the expression pattern of proteins and post-translational modifications. To obtain insights intoactivated signaling pathways that control the cellular phenotype during postnatal heart development, we generated a comprehensive map of phosphorylation sites. In total we identified 21,261 phosphorylation sites and 8985 proteins in developing mouse hearts by mass spectrometry. The in-vivo SILAC (stable isotope labeling of amino acids in cell culture) approach allowed robust quantification of phosphorylation sites and proteins, which are regulated during heart development. We found several activated pathways involved in cell cycle regulation and detected numerous kinases and transcription factors to be regulated on protein and phosphopeptide level. Most strikingly, we identified a novel mitochondrial protein, known previously as Perm1, as a highly phosphorylated factor regulated during heart development. We renamed Perm1 as MICOS complex subunit Mic85 since it shows robust physical interaction with MICOS complex subunits, including Mitofilin (Mic60), Chchd3 (Mic19), Chchd6 (Mic25) and the outer membrane protein Samm50. Moreover, Mic85 is localized to the mitochondrial inner membrane facing the intermembrane space and the dynamics of Mic85 protein expression is regulated by the ubiquitin-proteasomal system through phosphorylation of casein kinase 2 on its PEST motif. Silencing of Mic85 in cultured neonatal cardiomyocytes impairs mitochondrial morphology and compromises oxidative capacity. Our findings support a clear role for Mic85 in the maintenance of mitochondrial architecture and in its contribution to enhanced energetics during developing and adult mouse cardiomyocytes. The transgenic Mic85 knockout mouse generated with a GFP knock-in will support future in vivo investigations on the integrity of mitochondria and the function of Mic85 in cardiac development.
Hepatitis B caused by infection with the hepatitis B virus (HBV) still ranks among the most challenging infectious diseases of our time. Despite the availability of an effective prophylactic vaccine, 240 million people worldwide are estimated to be chronically infected with HBV and are at risk of developing life-threatening liver diseases, including cirrhosis and liver cancer. The underlying pathogenic mechanisms of HBV-associated liver diseases are only incompletely understood. It is widely accepted that liver pathology results from long-term immune-mediated liver injury and inflammation as a consequence of inefficient viral elimination. This injury can be naturally compensated by liver regeneration. However, chronic liver damage and permanent inflammation debilitates the regenerative capacity of the liver and fosters fibrosis as well as accumulation of chromosomal aberrations, which both contribute to cirrhosis and liver cancer. Liver regeneration requires the presence of the redox-sensitive transcription factor Nrf2 and intact insulin receptor signaling. A lack of Nrf2 causes increased intracellular levels of reactive oxygen species (ROS) that inactivate insulin receptor signaling and induce insulin resistance. Interestingly, HBV was observed to activate Nrf2 and the expression of Nrf2-regulated genes. This argues against an inhibitory effect of HBV on insulin receptor signaling by increased ROS levels. However, chronic HBV infection is associated with dysregulation of hepatocyte proliferation and retardation of liver regeneration. Hence, the aim of this thesis was to investigate the influence of HBV on the process of liver regeneration with respect to the insulin receptor signaling pathway. After short-term carbon tetrachloride (CCl4)-induced liver damage, HBV transgenic mice present prolonged liver damage and impaired liver regeneration as reflected by reduced hepatocyte proliferation and increased apoptosis. Impaired hepatocyte proliferation in HBV transgenic mice correlates with diminished activation of the insulin receptor. It was further observed in vitro that the activation of Nrf2 by HBV induces increased levels of the insulin receptor mRNA and protein in HBV-expressing cells. Strikingly, stably HBV-expressing cells as well as primary mouse hepatocytes from HBV transgenic mice bind less insulin due to reduced amounts of insulin receptor on the cell surface. This is caused by intracellular retention of the insulin receptor in HBV-expressing cells as a consequence of increased amounts of the cellular trafficking factor α-taxilin. The reduced amounts of insulin receptor on the cell surface impair insulin sensitivity in HBV-expressing cells and inactivate downstream signaling cascades that initiate insulin-dependent gene expression and glucose uptake. As a consequence of impaired hepatocyte proliferation and liver regeneration, HBV transgenic mice exhibit increased development of fibrosis after long-term CCl4-induced liver damage. Taken together, in this thesis, a novel pathomechanism could be uncovered that includes inactivation of insulin receptor signaling by HBV via intracellular retention of the insulin receptor leading to impaired liver regeneration after liver damage and promotion of liver fibrosis. These findings significantly contribute to an enhanced understanding of HBV-associated liver pathogenesis.
Heavy-ion collisions at ultra-relativistic energies allow access to the Quark-Gluon Plasma, the deconfined phase of the strong interaction, a state which is believed to have existed fractions of seconds after the big bang. Two-particle correlations at small relative momenta, and particularly their dependence on pair transverse mass, are distinctly sensitive to the reaction dynamics of the fireball created in heavy-ion collisions.
Being the heaviest system to extract a size of the particle emitting source, proton-lambda correlations extend the studied range in pair transverse mass and are therefore well suited to explore the dynamical behavior of the matter created in Pb-Pb collisions at the Large Hadron Collider. The centrality dependence of the extracted source radii affirms the expectations of a larger source for more central collisions. Source radii were attained over a span of more than 0.9 GeV/c2 in mean pair transverse mass with a source radius extracted for a mean transverse mass as high as 2.18 GeV/c2. The source radii decrease with increasing pair transverse mass, as expected in a hydrodynamical picture. The comparison with radii obtained from other particle species exhibits the clear breaking of an elsewhere proposed scaling behavior of source radii with mean pair transverse mass for all particle species.
Gamma-gamma correlations possibly allow to look past the barrier of kinetic freeze-out. Additionally, they bear the potential to solve the puzzling observation in heavy-ion collisions of an excess of photons with a large temperature-like inverse slope parameter on the one hand and an elliptic flow coefficient of photons comparable to the one of hadrons on the other hand. A striking signal in the two-photon correlation function is observed; however it seems likely to not be of quantum statistical origin. A path for further studies is laid out.
Resistance in glucocorticoid-induced apoptosis is associated with poor prognosis for long term survival in childhood acute lymphoblastic leukemia (ALL). As Smac mimetics have been shown to reactivate apoptosis by antagonizing Inhibitor of Apoptosis (IAP) proteins, we investigate the potential of the Smac mimetic BV6 to overcome glucocorticoid-resistance in ALL. This study shows that BV6 synergistically cooperates with glucocorticoids to trigger apoptosis and to suppress clonogenic growth of pediatric ALL cells. Of note, the BV6/glucocorticoid combination treatment also induces cell death in cells having defects in the apoptotic signaling cascade by inducing a switch from apoptotic to necroptotic cell death. The clinical relevance of our novel combination treatment is underscored by parallel experiments in primary pediatric ALL samples, in which glucocorticoids and BV6 act together to induce cell death in a synergistic manner. Importantly, the addition of BV6 enhances the anti-leukemic effects of glucocorticoids in an in vivo mouse model of pediatric ALL without causing substantial side effects, highlighting the potency of a BV6/glucocorticoid combination treatment. In contrast, BV6 does not increase cytotoxicity of glucocorticoids against several non-malignant cell types of the lympho-hematopoietic system. Furthermore, we have identified the novel underlying mechanism of BV6/glucocorticoid-induced apoptosis by showing that BV6 and glucocorticoids synergistically act together to promote assembly of the ripoptosome, a RIP1/FADD/caspase-8-containing cell death complex. Ripoptosome assembly is critically required for BV6/Dexamethasone-induced cell death, since genetic silencing of its members, i.e. RIP1, reduces ROS production, caspase activation and most importantly cell death induction. BV6/glucocorticoid combination treatment promotes ripoptosome assembly by inhibition of both of its negative regulators, IAP proteins and cFLIP. Thus, we identify that BV6 and glucocorticoids cooperate together to reduce cIAP1, cIAP2 and XIAP protein levels and cFLIP expression. Ripoptosome formation occurs independently of autocrine/paracrine loops of death receptor ligands, since blocking antibodies for TNFα, TRAIL or CD95L or genetic silencing of their corresponding receptors fail to rescue BV6/glucocorticoid-induced cell death. In summary, this study shows that the Smac mimetic BV6 sensitizes for glucocorticoid-induced apoptosis by promoting ripoptosome assembly with important implications for the treatment of childhood ALL.
The mammalian family of bears (Ursidae) comprises eight extant species, occurring on four different continents. Among them are the iconic and well-known brown and polar bears, both widely distributed across the Northern hemisphere. Their intraspecific genetic structuring has been extensively investigated, albeit with a focus on genetic markers from maternally inherited parts of their genomes (mitochondrial DNA). The evolutionary relationship and divergence time between brown and polar bears have recently triggered an extensive debate, while less focus has been put on to other parts of the ursid phylogeny, particularly to a clade of three Asian bear species. To date, whole genomes of more than 100 bear individuals from four different species have been sequenced. Yet, one fundamental part of the genome has been largely omitted from specific analyses, in bears as well as in most other mammals: the Y chromosome.
The mammalian Y chromosome provides a unique perspective on the evolutionary history of organisms due to its distinct features, and specifically reflects the patriline because of its male-specific inheritance. The characteristics of this chromosome make it well suited to complement and contrast evolutionary inferences based on other genetic markers, and to uncover processes like sex-biased gene flow and hybridization. The unique insights that can be gained from analyses of Y-linked genetic variation made me utilize this part of the genome to investigate the evolution of male lineages in bears. Studying the patriline is particularly promising in this taxonomic group because of male-biased dispersal and a complex and fast radiation of bears. The analysis of Y-chromosomal genetic markers is thus the common theme of this dissertation: I present the identification of large amounts of Y-chromosomal sequence, the development of male-specific markers from such sequences, and the application of these markers to trace the evolution of male lineages of different bear species.
Specifically, I developed a molecular sex determination system based on the detection of two Y-linked fragments that allows to reliably discriminate between females and males from seven different bear species (Bidon et al. 2013). The approach is highly sensitive, bear-specific, and can be applied in standard molecular laboratories. This makes it valuable in conservation genetics and forensic applications, e.g. to analyze non-invasively collected samples.
Furthermore, I used Y-linked markers in a comprehensive and range-wide sample of brown and polar bears, and show that male-biased gene flow plays an important role in distributing genetic material throughout the ranges of both species (Bidon et al. 2014). In brown bears, I detected a lack of paternal population structuring which is in strong contrast to the detailed structuring of the matriline.
Analyzing Y-chromosomal sequences from all eight bear species, I present a phylogeny of the patriline that largely resembles the topology from other nuclear markers but is different from the topology of the mitochondrial gene tree (Kutschera et al. 2014). This discordance among loci generates interesting hypotheses about inter-species gene flow, particularly among American and Asiatic black bears.
With the identification of almost two million basepairs of Y-chromosomal sequence and the analysis of an unprecedented large male-specific dataset in polar bears, a high-resolution view on the distribution of their intraspecific variation was obtained (Bidon et al. 2015). In particular, two clades that are divergent but do not show pronounced phylogeographic structure were detected, confirming the great dispersal capacity of males of this high arctic species.
This dissertation thus represents a comprehensive investigation of Y-linked genetic variation on the intra- and interspecific level in a non-model organism. With my research, I contribute to an increased understanding of the complex evolutionary history of bears. In particular, I show that male-biased gene flow strongly influences the distribution of nuclear genetic variation, and that the contrast between phylogenies of differentially inherited markers can help to understand interspecific hybridization between closely related species. Moreover, my findings demonstrate the potential of Y-chromosomal markers to uncover unknown evolutionary patterns and processes. This applies not only to bears but to many species, even such that are generally well known and well described.
Eye-Tracking bezeichnet das Messen und Aufzeichnen der Blickbewegungen einer Person. Historisch gesehen basiert Eye-Tracking auf Beobachtungen des Testleiters, der das Blickverhalten der Probanden während des Versuchsablaufes oder die Videoaufzeichnung des Blickverhaltens eines Probanden in einer Testsituation kodierte. Dabei konnte allerdings nur die Blickrichtung des Probanden erhoben werden. Heutzutage ist es jedoch möglich, aufgrund neuerer, automatisierter Eye-Tracking-Techniken detailliertere Blickbewegungen, wie z.B. Fixationen und Sakkaden, zu messen. Diese Verbesserung der Eye-Tracking-Technik ermöglicht nicht nur passives Eye-Tracking, sondern auch aktives Blickkontingenz-Eye-Tracking. Passives Eye-Tracking bezeichnet das Messen und Aufzeichnen des Blickverhaltens, um herauszufinden, wo der Proband hinschaut. Im Gegensatz dazu erhebt das aktive Blickkontingenz-Eye-Tracking nicht nur, wo ein Proband hinschaut, sondern ermöglicht dem Probanden auch, die Stimuli, die auf einem Bildschirm präsentiert werden, aktiv zu verändern oder zu kontrollieren. Dabei wird das Blickverhalten online kodiert, und spezifisches Blickverhalten ist an eine kontingente Veränderung der Stimuli auf dem Bildschirm gekoppelt. Deshalb kann das aktive Blickkontingenz-Eye-Tracking eingesetzt werden, um den Probanden aktive Kontrolle über ihre visuelle Umwelt zu ermöglichen.
In der psychologischen Forschung ist Eye-Tracking ein wichtiges Forschungs-instrument, da das Blickverhalten in spezifischen Eye-Tracking-Aufgaben genutzt werden kann, um Aufschluss über kognitive Prozesse, wie z.B. Aufmerksamkeit, Lernen und Gedächtnis, zu gewinnen. Unterschiedliche passive und aktiv-blickkontingente Eye-Tracking- Aufgaben wurden entwickelt, um eine Vielzahl an kognitiven Prozessen im Erwachsenen- und Säuglingsalter zu untersuchen. Diese Aufgaben sind besonders wichtig in der Säuglingsforschung, da es in diesem Alter schwierig ist, kognitive Prozesse zu untersuchen. Dies hängt damit zusammen, dass es sich um eine präverbale Stichprobe, die nur über ein limitiertes motorisches Repertoire verfügt, handelt. Obwohl kognitive Prozesse von Erwachsenen anhand verbaler oder anderer motorischer Aufgaben untersucht werden können, werden passive und aktiv-blickkontingente Eye-Tracking-Aufgaben regelmäßig in dieser Altersgruppe eingesetzt, da sie zusätzliche Informationen über kognitive Prozesse liefern können. Neben der Möglichkeit zur Untersuchung von kognitiven Prozessen bieten aktiv-blickkontingente Eye-Tracking-Aufgaben den Probanden auch die Gelegenheit, ihre visuelle Umwelt aktiv zu kontrollieren. Dennoch werden aktiv-blickkontingente Eye-Tracking- Aufgaben nur selten eingesetzt, um Probanden visuelle Kontrolle über ihre Umwelt zu verschaffen.
Bis jetzt wurden aktiv-blickkontingente Eye-Tracking-Aufgaben zur Kontrolle der visuellen Umwelt nur bei Erwachsenen, aber noch nicht bei Säuglingen eingesetzt. Da diese Aufgaben jedoch auch für Säuglinge und Kleinkinder geeignet sind, besteht die Möglichkeit, diese Methode über die gesamte Lebenspanne hinweg anzuwenden. Somit kann das Erlernen des Kontrollierens der Umwelt durch Blickverhalten über die gesamte Lebensspanne untersucht werden.
Die vorliegende Dissertation hat sich genau dies zum Ziel gesetzt. Um dieses Ziel zu erreichen, wurde eine neue aktiv-blickkontingente Eye-Tracking-Aufgabe entwickelt, die sogenannte gaze-contingent learning task (GCLT). Im Wesentlichen ist die GCLT eine operante Konditionierungsaufgabe, bei der sich Probanden Kontrolle über ihre visuelle Umwelt aneignen, indem sie eine bestimmte blickkontingente Assoziation zwischen ihrem Blickverhalten und einem visuellen Effekt erlernen. Die in dieser Dissertation verwendete GCLT umfasst zwei Hauptversionen: zum einen die sog. one disc GCLT, und zum anderen die two discs GCLT. In der one disc GCLT wird ein Kreis auf der rechten Bildschirmseite gezeigt. Jedes Mal, wenn der Proband auf diesen Kreis schaut, erscheint ein Stimulus auf der linken Bildschirmseite. Somit kommt dem Kreis eine Schalterfunktion zu. In der two discs GCLT ist sowohl am rechten als auch am linken Bildschirmrand ein Kreis zu sehen. Hier kommt nur jeweils einem der beiden Kreise die Schalterfunktion zu. Um ihre visuelle Umwelt zu kontrollieren, müssen Probanden innerhalb der one disc GCLT die blickkontingente Assoziation zwischen ihren Blicken auf den Kreis und dem Erscheinen eines Stimulus erlernen, während sie in der two discs GCLT außerdem noch lernen müssen, zwischen dem Kreis mit und dem Kreis ohne Schalterfunktion zu unterscheiden.
Die Parkinson Erkrankung ist die zweithäufigste neurodegenerative Erkrankung in industrialisierten Ländern. Die charakteristischen Symptome sind schwere Beeinträchtigungen des Bewegungsablaufes welche auf den Verlust dopaminerger Neurone der Substantia nigra und der damit einhergehenden Reduktion des striatalen Dopamin Gehaltes zurückzuführen sind. Alpha-Synuklein (SNCA) ist ein Protein welches zum einen mit sporadischen aber auch mit idiopathischen Erkrankungen assoziiert ist. Mutationen welche einen Funktionsgewinn von SNCA zur Folge haben konnten mit autosomal dominanten Varianten der Parkinson Erkrankung assoziiert werden und genetische Veränderungen an beiden Genenden agieren als Risikofaktor für sporadische Formen der Erkrankung. Des Weiteren wird SNCA als Hauptbestandteil der Lewy Körperchen gefunden, einem pathologischen Kennzeichen der parkinsonschen Erkrankung. Die charakteristischen Bewegungsstörungen können mittels L-DOPA, einer metabolischen Vorstufe von Dopamin, behandelt werden. Neben dem enorm positiven Effekt auf die Bewegungsstörungen, geht die Behandlung mit L-DOPA jedoch auch mit ernsten Nebenwirkungen einher, welche als Levodopa induzierte Dyskinesien (LID) beschrieben werden.
Ziel der Arbeit war die Analyse von Effekten eines SNCA Funktionsgewinns sowie des Pink1 Funktionsverlustes auf molekulare Signalwege der synaptischen Plastizität unter Verwendung dreier PD Mausmodelle (A53T-SNCA überexprimierendes Modell (PrPmtA), Pink1KO Modell sowie A53T-SNCA + Pink1KO Doppelmutante (DM)). Es wurden Kandidatengene welche eine Rolle für synaptische Plastizität spielen in 6 Monate alten Mäusen aller drei PD Mauslinien untersucht. Die Analyse von PrPmtA zeigte erhöhte mRNA Spiegel von Glutamatrezeptor-Untereinheiten und von Kandidatengenen welche eine Rolle bei der synaptischen Signalweiterleitung spielen, sowie reduzierte mRNA Spiegel von IEGs und Transkriptionsfaktoren. Die Analyse der DM zeigte nur geringe Expressionsänderungen der Glutamatrezeptor-Untereinheiten und die Analyse von IEGs und Transkriptionsfaktoren zeigte erneut reduziert mRNA Spiege. In Pink1KO Tieren konnten nur minimale Expressionsveränderungen der Kandidatengene gefunden werden, was den Schluss zulässt, dass die zuvor beschriebenen Expressionsveränderungen in PrPmtA und DM Mäusen eindeutig auf den SNCA Funktionsgewinn zurückzuführen sind. Um frühe Effekte des SNCA Funktionsgewinns zu studieren wurde die Analyse auf 3 Monate alte PrPmtA Mäuse ausgeweitet. Diese ergab, Expressionsveränderungen für Homer1, cFos, NOR1, Nurr1 und Nur77.
In einem weiteren Versuchsansatz wurde die Auswirkung des SNCA Funktionsgewinns auf das Verhalten sowie auf molekulare Parameter nach Apomorphin Behandlung analysiert. Die Analyse ergab ein erhöhtes Niveau an unwillkürlichen Bewegungsmustern mit stereotypen und dystonischen Eigenschaften in PrPmtA im Vergleich zu Wildtypen (wt). Die molekulare Analyse von striatalem Gewebe wurde zu zwei Zeitpunkten durchgeführt, 30 min nach Apomorphin Injektion und 100 min nach Injektion. Die Analyse von striatalem Gewebe welches zum Zeitpunkt 30 min nach Injektion entnommen wurde ergab eine erhöhte Apomorphin abhängige Phosphorylierung von ERK1/2, sowie eine erhöhte Apomorphin abhängige Expression von Dusp1, Dusp6 und cFos in transgenen und wt Tieren. Genotyp abhängige Unterschiede ergaben sich für cFos, welches signifikant höher in PrPmtA induziert wurde. 100 min nach Apomorphin Injektion ergab die gleiche Analyse eine erhöhte Apomorphin abhängige Phosphorylierung von ERK1 und eine erhöhte Apomorphin abhängige Expression von Dusp1, Dusp6, cFos und Nur77 in PrPmtA im Vergleich zu wt. Die Daten unterstreichen die fundamentale Rolle von SNCA auf die Neurotransmission und synaptische Plastizität und zeigen auf, dass PrPmtA ein zuverlässiges Modell für die Analyse von präsynaptischer Dysfunktion in Frühstadien der Parkinson Erkrankung darstellt.
Der letzte Versuchsansatz stellt die Charakterisierung des DM-Mausmodells welches sich durch einen starken Phänotyp auszeichnet, sowie die Analyse des Pink1 Effektes auf die SNCA induzierte Neurotoxizität dar. DM-Tiere zeigen deutlich reduzierte Spontanmotorik im Alter von 3 Monaten sowie einer progressiven Lähmung der Hinterläufe, was Anlass zu einer immunhistologischen Charakterisierung mittels Schnitten des Gehirns und Rückenmarks gab. Die histologische Analyse zeigte pSer129-SNCA, p62/SQSTM1 und Ubiquitin positive Aggregate innerhalb der grauen Substanz des Rückenmarks sowie innerhalb einer neuronalen Zellpopulation welche dorsal der Substantia nigra angeordnet ist. Das histologische Erscheinungsbild wurde spezifisch in gelähmten DM-Tieren gefunden und nicht in Einzelmutanten oder DM-Tieren ohne Lähmung. Dieses Modell stellt ein wertvolles Instrument für die Identifizierung von pathologischen Mechanismen und Signalkaskaden welche beiden Parkinson relevanten Genen gemeinsam sind, dar.
The knowledge of three-dimensional structures of biomolecules is fundamental for the understanding of their function. Nuclear magnetic resonance (NMR) spectroscopy represents besides X-ray crystallography one of the two most widely used techniques to study macromolecules at atomic resolution. Its application has long been a laborious task that could take months and required the expertise of an experienced scientist, however, owing to the tremendous effort that has been put into the development of respective computer algorithms, structure determination by NMR spectroscopy of small- to medium sized proteins is nowadays routinely performed. CYANA is one widely used software package, which combines the majority of individual steps towards a three-dimensional structure. The most common application of the program, however, restricts to the combined automated NOE assignment and structure calculation based on NOESY peak lists and an existing chemical shift assignment. Completely automated structure determination starting from NMR spectra is to date technically possible with CYANA, however, not yet routinely applied. In order to achieve this long-term goal, the individual steps need to become more robust with regard to data imperfections such as peak overlap, spectral artifacts or a limited amount of NMR data. The work presented in this thesis should be placed within the context of increasing the reliability and improving the accuracy of structures determined by CYANA on the basis of solution- as well as solid-state NMR data.
The chapter “Systematic evaluation of combined automated NOE assignment and structure calculation with CYANA” comprises an extensive study on the robustness of the combined automated NOE assignment and structure calculation algorithm based on experimental solution NMR data sets that were modified in multiple ways to mimic different kinds of data imperfections. The results show that the algorithm is remarkably robust with regard to imperfections of the NOESY peak lists and the chemical shift tolerances but susceptible to lacking or erroneous resonance assignments, in particular for nuclei that are involved in many NOESY cross peaks.
In the chapter “Peakmatch – A simple and robust tool for peaklist matching” a method to achieve self-consistency of the chemical shift referencing among a set of peak lists is presented. The Peakmatch algorithm matches a set of peak lists to a specified reference peak list, neither of which have to be assigned, by optimizing an assignment-free match-score function. The algorithm has been extensively tested on the basis of experimental NMR data sets of five different proteins. The results show that peak lists from many different types of spectra can be matched reliably as long as they contain at least two corresponding dimensions.
NMR structures are represented by bundles of conformers whose spread indicates the precision of the atomic coordinates. However, there is as yet no reliable measure of structural accuracy, i.e. how close NMR conformers are to the “true” structure. Instead, the precision of structure bundles is widely (mis)interpreted as a measure of structural quality. Attempts to increase the precision thus often yield tight structure bundles where the precision overestimates the accuracy. To overcome this problem, the chapter “Increased reliability of NMR protein structures by consensus structure bundles” introduces a new protocol for NMR structure determination with the software package CYANA that produces bundles of conformers with a realistic precision that is throughout a large number of test data sets a much better estimate of the structural accuracy than the precision of conventional structure bundles.
Solid-state NMR is a powerful technique to study molecules which are not amenable to either solution NMR or X-ray crystallography. Despite the reporting of individual atomic resolution structures of membrane proteins and amyloid fibrils based on solid-state NMR data, the application is far from routine. One major obstacle that hinders structure determination by solid-state NMR is the overall lower quality of the solid-state NMR spectra. It is therefore necessary to increase the robustness of the computer algorithms in order to improve the results when using lower quality solid-state NMR spectra. The chapter “Structure calculations of the model protein GB1 from solid-state NMR data” presents structure calculations on the basis of a set of two-dimensional solid-state NMR experiments of the model protein GB1. The most important result obtained from these test calculations is that the limitation of structural accuracy can be attributed to inaccurate distance information resulting from the limited correlation between peak intensities and distance, which is especially severe in spin diffusion-based solid-state NMR experiments.
The chapter “Full relaxation matrix-based correction of relayed polarization transfer for solid-state NMR structure calculation” therefore introduces a method which corrects experimental peak intensities for spin diffusion in order to improve the distance information from solid-state NMR spectra. The results show that the structural accuracy can be significantly improved when using the corrected distance information, however, strongly dependent on the preliminary structural model that is required as input for the method.
The timing and duration of leaf deployment strongly regulate earth-atmosphere interactions and biotic processes. Leaf dynamics therefore have major implications for life on earth, including the global energy balance, carbon and water cycles, feedbacks to climate, species extinction risk and agriculture. Evidence of shifts in the timing of leaf deployment and senescence (leaf phenology) as a result of climate change has been accumulating over the past decades, particularly in relation to spring phenology in the northern hemisphere. However, leaf phenological change in other parts of the world has received less attention. This thesis quantifies global phenological change over the past three decades using remotely sensed data. Phenological change was found to be widespread and severe, also in the southern hemisphere. While the detected change testifies of the phenological plasticity of many plant species, it is not clear if the duration of leaf deployment (leaf habit) is equally sensitive to environmental change. Since evergreen and deciduous leaf habits are often distinctly sorted along environmental gradients, ecologists have hypothesised that these patterns result from natural selection for an optimal leaf habit, under a given environmental regime. Such evolutionary convergence can be examined by testing if the physiological niche that is occupied by a particular leaf habit (evergreen or deciduous) is similar among regions with distinct evolutionary histories. Using a process-based model of plant growth and a constructed map of evergreen and deciduous vegetation, the physiological niche of leaf habits was quantified in four global biogeographic realms. Substantial niche overlap was found between the same leaf habit in different realms, suggesting evolutionary convergence of the physiological niche. This implies a sensitivity of leaf habit to environmental change, as environmental variables determine the geographic space where the physiological niche allows a positive carbon balance, and therefore occurrence of the leaf habit. Since the physiological niche consists of the integrated effects of physiological traits and trade-offs, environmental dependencies and leaf habit and phenology, an understanding of the carbon economy of individual plants requires decomposing the physiological niche into its components. Using empirical data on leaf phenology, leaf habit and physiological processes from woody species in a seasonally dry African savanna, a simple carbon balance model was parametrised. Carbon gain varied considerably between species as a result of substantial variation in leaf habit, leaf phenology and physiological traits. The multiple lines of evidence in this thesis therefore suggest that, while convergent selective forces may determine the dominant leaf habit in a particular environment, inter-specific variation is substantial, potentially as a consequence of historical contingencies or competitive interactions.