@phdthesis{Arnold2014, author = {Arnold, Stefanie}, title = {Epitop-Kartierung von PBP2A und Identifizierung MRSA-spezifischer immunodominanter Peptidsequenzen}, pages = {XIX, 120}, year = {2014}, language = {de} } @phdthesis{Buechner2014, author = {B{\"u}chner, Kerstin}, title = {Modifizierung und Charakterisierung von Wellenleitermaterialien f{\"u}r Biosensoranwendungen}, pages = {129}, year = {2014}, language = {de} } @phdthesis{Czesnick2014, author = {Czesnick, Hj{\"o}rdis}, title = {Functional specialization of Arabidopsis poly(A) polymerases in relation to flowering time and stress}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-78015}, school = {Universit{\"a}t Potsdam}, pages = {157}, year = {2014}, abstract = {Polyadenylation is a decisive 3' end processing step during the maturation of pre-mRNAs. The length of the poly(A) tail has an impact on mRNA stability, localization and translatability. Accordingly, many eukaryotic organisms encode several copies of canonical poly(A) polymerases (cPAPs). The disruption of cPAPs in mammals results in lethality. In plants, reduced cPAP activity is non-lethal. Arabidopsis encodes three nuclear cPAPs, PAPS1, PAPS2 and PAPS4, which are constitutively expressed throughout the plant. Recently, the detailed analysis of Arabidopsis paps1 mutants revealed a subset of genes that is preferentially polyadenylated by the cPAP isoform PAPS1 (Vi et al. 2013). Thus, the specialization of cPAPs might allow the regulation of different sets of genes in order to optimally face developmental or environmental challenges. To gain insights into the cPAP-based gene regulation in plants, the phenotypes of Arabidopsis cPAPs mutants under different conditions are characterized in detail in the following work. An involvement of all three cPAPs in flowering time regulation and stress response regulation is shown. While paps1 knockdown mutants flower early, paps4 and paps2 paps4 knockout mutants exhibit a moderate late-flowering phenotype. PAPS1 promotes the expression of the major flowering inhibitor FLC, supposedly by specific polyadenylation of an FLC activator. PAPS2 and PAPS4 exhibit partially overlapping functions and ensure timely flowering by repressing FLC and at least one other unidentified flowering inhibitor. The latter two cPAPs act in a novel regulatory pathway downstream of the autonomous pathway component FCA and act independently from the polyadenylation factors and flowering time regulators CstF64 and FY. Moreover, PAPS1 and PAPS2/PAPS4 are implicated in different stress response pathways in Arabidopsis. Reduced activity of the poly(A) polymerase PAPS1 results in enhanced resistance to osmotic and oxidative stress. Simultaneously, paps1 mutants are cold-sensitive. In contrast, PAPS2/PAPS4 are not involved in the regulation of osmotic or cold stress, but paps2 paps4 loss-of-function mutants exhibit enhanced sensitivity to oxidative stress provoked in the chloroplast. Thus, both PAPS1 and PAPS2/PAPS4 are required to maintain a balanced redox state in plants. PAPS1 seems to fulfil this function in concert with CPSF30, a polyadenylation factor that regulates alternative polyadenylation and tolerance to oxidative stress. The individual paps mutant phenotypes and the cPAP-specific genetic interactions support the model of cPAP-dependent polyadenylation of selected mRNAs. The high similarity of the polyadenylation machineries in yeast, mammals and plants suggests that similar regulatory mechanisms might be present in other organism groups. The cPAP-dependent developmental and physiological pathways identified in this work allow the design of targeted experiments to better understand the ecological and molecular context underlying cPAP-specialization.}, language = {en} } @phdthesis{Eggers2014, author = {Eggers, Ute}, title = {Environmental impacts on white stork (Ciconia ciconia) breeding success}, school = {Universit{\"a}t Potsdam}, pages = {164}, year = {2014}, language = {en} } @phdthesis{Emadpour2014, author = {Emadpour, Masoumeh}, title = {Development of tools for inducible gene expression in choroplasts}, pages = {viii}, year = {2014}, language = {en} } @phdthesis{Fronton2014, author = {Fronton, Ludivine}, title = {Modeling approaches to characterize the disposition of monoclonal antibodies}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-76537}, school = {Universit{\"a}t Potsdam}, pages = {xxi, 133}, year = {2014}, abstract = {Monoclonal antibodies (mAbs) are engineered immunoglobulins G (IgG) used for more than 20 years as targeted therapy in oncology, infectious diseases and (auto-)immune disorders. Their protein nature greatly influences their pharmacokinetics (PK), presenting typical linear and non-linear behaviors. While it is common to use empirical modeling to analyze clinical PK data of mAbs, there is neither clear consensus nor guidance to, on one hand, select the structure of classical compartment models and on the other hand, interpret mechanistically PK parameters. The mechanistic knowledge present in physiologically-based PK (PBPK) models is likely to support rational classical model selection and thus, a methodology to link empirical and PBPK models is desirable. However, published PBPK models for mAbs are quite diverse in respect to the physiology of distribution spaces and the parameterization of the non-specific elimination involving the neonatal Fc receptor (FcRn) and endogenous IgG (IgGendo). The remarkable discrepancy between the simplicity of biodistribution data and the complexity of published PBPK models translates in parameter identifiability issues. In this thesis, we address this problem with a simplified PBPK model—derived from a hierarchy of more detailed PBPK models and based on simplifications of tissue distribution model. With the novel tissue model, we are breaking new grounds in mechanistic modeling of mAbs disposition: We demonstrate that binding to FcRn is indeed linear and that it is not possible to infer which tissues are involved in the unspecific elimination of wild-type mAbs. We also provide a new approach to predict tissue partition coefficients based on mechanistic insights: We directly link tissue partition coefficients (Ktis) to data-driven and species-independent published antibody biodistribution coefficients (ABCtis) and thus, we ensure the extrapolation from pre-clinical species to human with the simplified PBPK model. We further extend the simplified PBPK model to account for a target, relevant to characterize the non-linear clearance due to mAb-target interaction. With model reduction techniques, we reduce the dimensionality of the simplified PBPK model to design 2-compartment models, thus guiding classical model development with physiological and mechanistic interpretation of the PK parameters. We finally derive a new scaling approach for anatomical and physiological parameters in PBPK models that translates the inter-individual variability into the design of mechanistic covariate models with direct link to classical compartment models, specially useful for PK population analysis during clinical development.}, language = {en} } @phdthesis{Girbig2014, author = {Girbig, Dorothee}, title = {Analysing concerted criteria for local dynamic properties of metabolic systems}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-72017}, school = {Universit{\"a}t Potsdam}, year = {2014}, abstract = {Metabolic systems tend to exhibit steady states that can be measured in terms of their concentrations and fluxes. These measurements can be regarded as a phenotypic representation of all the complex interactions and regulatory mechanisms taking place in the underlying metabolic network. Such interactions determine the system's response to external perturbations and are responsible, for example, for its asymptotic stability or for oscillatory trajectories around the steady state. However, determining these perturbation responses in the absence of fully specified kinetic models remains an important challenge of computational systems biology. Structural kinetic modeling (SKM) is a framework to analyse whether a metabolic steady state remains stable under perturbation, without requiring detailed knowledge about individual rate equations. It provides a parameterised representation of the system's Jacobian matrix in which the model parameters encode information about the enzyme-metabolite interactions. Stability criteria can be derived by generating a large number of structural kinetic models (SK-models) with randomly sampled parameter sets and evaluating the resulting Jacobian matrices. The parameter space can be analysed statistically in order to detect network positions that contribute significantly to the perturbation response. Because the sampled parameters are equivalent to the elasticities used in metabolic control analysis (MCA), the results are easy to interpret biologically. In this project, the SKM framework was extended by several novel methodological improvements. These improvements were evaluated in a simulation study using a set of small example pathways with simple Michaelis Menten rate laws. Afterwards, a detailed analysis of the dynamic properties of the neuronal TCA cycle was performed in order to demonstrate how the new insights obtained in this work could be used for the study of complex metabolic systems. The first improvement was achieved by examining the biological feasibility of the elasticity combinations created during Monte Carlo sampling. Using a set of small example systems, the findings showed that the majority of sampled SK-models would yield negative kinetic parameters if they were translated back into kinetic models. To overcome this problem, a simple criterion was formulated that mitigates such infeasible models and the application of this criterion changed the conclusions of the SKM experiment. The second improvement of this work was the application of supervised machine-learning approaches in order to analyse SKM experiments. So far, SKM experiments have focused on the detection of individual enzymes to identify single reactions important for maintaining the stability or oscillatory trajectories. In this work, this approach was extended by demonstrating how SKM enables the detection of ensembles of enzymes or metabolites that act together in an orchestrated manner to coordinate the pathways response to perturbations. In doing so, stable and unstable states served as class labels, and classifiers were trained to detect elasticity regions associated with stability and instability. Classification was performed using decision trees and relevance vector machines (RVMs). The decision trees produced good classification accuracy in terms of model bias and generalizability. RVMs outperformed decision trees when applied to small models, but encountered severe problems when applied to larger systems because of their high runtime requirements. The decision tree rulesets were analysed statistically and individually in order to explore the role of individual enzymes or metabolites in controlling the system's trajectories around steady states. The third improvement of this work was the establishment of a relationship between the SKM framework and the related field of MCA. In particular, it was shown how the sampled elasticities could be converted to flux control coefficients, which were then investigated for their predictive information content in classifier training. After evaluation on the small example pathways, the methodology was used to study two steady states of the neuronal TCA cycle with respect to their intrinsic mechanisms responsible for stability or instability. The findings showed that several elasticities were jointly coordinated to control stability and that the main source for potential instabilities were mutations in the enzyme alpha-ketoglutarate dehydrogenase.}, language = {en} } @phdthesis{Heise2014, author = {Heise, Robert}, title = {Estimation of photosynthetic carbon fluxes in intact plants}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, school = {Universit{\"a}t Potsdam}, pages = {178}, year = {2014}, language = {en} } @phdthesis{Huebner2014, author = {H{\"u}bner, Sandra}, title = {Molekulare Grundlagen der Bittergeschmackswahrnehmung in der Maus}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-77720}, school = {Universit{\"a}t Potsdam}, pages = {X, 171, iii}, year = {2014}, abstract = {Der Bittergeschmack dient S{\"a}ugern vermutlich zur Wahrnehmung und Vermeidung toxischer Substanzen. Bitterstoffe k{\"o}nnen jedoch auch gesund sein oder werden oft bereitwillig mit der Nahrung aufgenommen. Ob sie geschmacklich unterschieden werden k{\"o}nnen, ist allerdings umstritten. Detektiert werden Bitterstoffe von oralen Bittergeschmacksrezeptoren, den TAS2R (human) bzw. Tas2r (murin). In der Literatur gibt es aber immer mehr Hinweise darauf, dass {\"u}berdies Tas2r nicht nur in extragustatorischen Organen exprimiert werden, sondern dort auch wichtige Aufgaben erf{\"u}llen k{\"o}nnten, was wiederum die Aufkl{\"a}rung ihrer noch nicht vollst{\"a}ndig entschl{\"u}sselten Funktionsweisen erfordert. So ist noch unbekannt, ob alle bisher als funktionell identifizierten Tas2r wirklich gustatorische Funktionen erf{\"u}llen. Im Rahmen der Charakterisierung neu generierter, im Locus des Bittergeschmacksrezeptors Tas2r131 genetisch modifizierter Mauslinien, wurde in vorliegender Arbeit die gustatorische sowie extragustatorische Expression von Tas2r131 untersucht. Dass Tas2r131 nicht nur in Pilzpapillen, Wall- und Bl{\"a}tterpapillen (VP+FoP), Gaumen, Ductus nasopalatinus, Vomeronasalorgan und Kehldeckel, sondern auch in Thymus, Testes und Nebenhodenkopf, in Gehirnarealen sowie im Ganglion geniculatum nachgewiesen wurde, bildete die Grundlage f{\"u}r weiterf{\"u}hrende Studien. Die vorliegende Arbeit zeigt außerdem, dass Tas2r108, Tas2r126, Tas2r135, Tas2r137 und Tas2r143 in Blut exprimiert werden, was auf eine heterogene Funktion der Tas2r hindeutet. Dass zus{\"a}tzlich erstmals die Expression aller 35 als funktionell beschriebenen Tas2r im gustatorischen VP+FoP-Epithel von C57BL/6-M{\"a}usen nachgewiesen wurde, verweist auf deren Relevanz als funktionelle Geschmacksrezeptoren. Weiter zeigten Untersuchungen zur Aufkl{\"a}rung eines m{\"o}glichen Bitter-Unterscheidungsverm{\"o}gens in Geschmackspapillen von M{\"a}usen mit fluoreszenzmarkierten oder ablatierten Tas2r131-Zellen, dass Tas2r131 exprimierende Zellen eine Tas2r-Zellsubpopulation bilden. Dar{\"u}ber hinaus existieren innerhalb der Bitterzellen geordnete Tas2r-Expressionsmuster, die sich nach der chromosomalen Lage ihrer Gene richten. Isolierte Bitterzellen reagieren heterogen auf bekannte Bitterstoffe. Und M{\"a}use mit ablatierter Tas2r131-Zellpopulation besitzen noch andere Tas2r-Zellen und schmecken damit einige Bitterstoffe kaum noch, andere aber noch sehr gut. Diese Befunde belegen die Existenz verschiedener gustatorischer Tas2r-Zellpopulationen, welche die Voraussetzung bilden, Bitterstoffe heterogen zu detektieren. Ob dies die Grundlage f{\"u}r ein divergierendes Verhalten gegen{\"u}ber unvertr{\"a}glichen und harmlosen oder gar n{\"u}tzlichen Bitterstoffen darstellt, kann mit Hilfe der dargelegten Tas2r-Expressionsmuster k{\"u}nftig in Verhaltensexperimenten gepr{\"u}ft werden. Die Bittergeschmackswahrnehmung in S{\"a}ugetieren stellt sich als ein hochkomplexer Mechanismus dar, dessen Vielschichtigkeit durch die hier neu aufgezeigten heterogenen Tas2r-Expressions- und Funktionsmuster erneut verdeutlicht wird.}, language = {de} } @phdthesis{Jueppner2014, author = {J{\"u}ppner, Jessica}, title = {Characterization of metabolomic dynamics in synchronized Chlamydomonas reinhardtii cell cultures and the impact of TOR inhibition on cell cycle, proliferation and growth}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-76923}, school = {Universit{\"a}t Potsdam}, pages = {VI, 153}, year = {2014}, abstract = {The adaptation of cell growth and proliferation to environmental changes is essential for the surviving of biological systems. The evolutionary conserved Ser/Thr protein kinase "Target of Rapamycin" (TOR) has emerged as a major signaling node that integrates the sensing of numerous growth signals to the coordinated regulation of cellular metabolism and growth. Although the TOR signaling pathway has been widely studied in heterotrophic organisms, the research on TOR in photosynthetic eukaryotes has been hampered by the reported land plant resistance to rapamycin. Thus, the finding that Chlamydomonas reinhardtii is sensitive to rapamycin, establish this unicellular green alga as a useful model system to investigate TOR signaling in photosynthetic eukaryotes. The observation that rapamycin does not fully arrest Chlamydomonas growth, which is different from observations made in other organisms, prompted us to investigate the regulatory function of TOR in Chlamydomonas in context of the cell cycle. Therefore, a growth system that allowed synchronously growth under widely unperturbed cultivation in a fermenter system was set up and the synchronized cells were characterized in detail. In a highly resolved kinetic study, the synchronized cells were analyzed for their changes in cytological parameters as cell number and size distribution and their starch content. Furthermore, we applied mass spectrometric analysis for profiling of primary and lipid metabolism. This system was then used to analyze the response dynamics of the Chlamydomonas metabolome and lipidome to TOR-inhibition by rapamycin The results show that TOR inhibition reduces cell growth, delays cell division and daughter cell release and results in a 50\% reduced cell number at the end of the cell cycle. Consistent with the growth phenotype we observed strong changes in carbon and nitrogen partitioning in the direction of rapid conversion into carbon and nitrogen storage through an accumulation of starch, triacylglycerol and arginine. Interestingly, it seems that the conversion of carbon into triacylglycerol occurred faster than into starch after TOR inhibition, which may indicate a more dominant role of TOR in the regulation of TAG biosynthesis than in the regulation of starch. This study clearly shows, for the first time, a complex picture of metabolic and lipidomic dynamically changes during the cell cycle of Chlamydomonas reinhardtii and furthermore reveals a complex regulation and adjustment of metabolite pools and lipid composition in response to TOR inhibition.}, language = {en} }