Institut für Biochemie und Biologie
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Bei der Entdeckung der Glutathionperoxidase-2 (GPx2) wurde zunächst davon ausgegangen, dass die Funktion dieses Enzyms im Kryptengrund des Colons einzig in der Reduktion von H2O2 besteht. Im Laufe der weiteren Erforschung zeigte sich, dass GPx2 auch in verschiedenen Tumorgeweben vermehrt exprimiert wird. Dabei wird diskutiert, ob die Wirkung von GPx2 im Tumor eher als pro- oder als antikarzinogen einzustufen ist. Mehrere Experimente in vitro und in vivo zeigten antiinflammatorische Eigenschaften der GPx2. Aufgrund dieser Befunde wird derzeit über weitere Funktionen der GPx2 spekuliert. In dieser Arbeit wurde die physiologische Funktion von GPx2 näher erforscht, dazu wurden Wildtyp- und GPx2-Knockout-Mäuse in Hinblick auf Veränderungen der Enzymexpression und der Colonmorphologie untersucht. Es wurden drei verschiedene Selendiäten verfüttert: selenarmes, selenadäquates und selensupplementiertes Futter. Unter physiologischen Bedingungen ist am Kryptengrund des Colons, innerhalb der proliferierenden Zone, die Mitoserate am höchsten. Der Großteil der apoptotischen Zellen ist hingegen an der Kryptenspitze vorzufinden. Durch den Knockout von GPx2 kam es zu einer signifikanten Erhöhung der Apoptoserate am Kryptengrund. Dabei war der größte Effekt auf selenarmem Futter zu verzeichnen. Hierbei wurde sogar eine Veränderung der Colonmorphologie dokumentiert, da die Verschiebung der Proliferationszone in Richtung Kryptenspitze eine Verlängerung der Krypten nach sich zog. Im Wildtyp wurden keine Apoptosen im Kryptengrund detektiert. GPx1 wird unter physiologischen Bedingungen im Gegensatz zur GPx2 in der Kryptenspitze exprimiert und ist im Selenmangel nicht mehr detektierbar. Der Knockout von GPx2 erhöhte die GPx1-Expression im Kryptengrund auf allen drei Selendiäten. Diese Überexpression von GPx1 am Kryptengrund soll vermutlich den Verlust von GPx2 an dieser Stelle kompensieren. Da jedoch dort die massive Apoptoserate detektiert wurde, kann die GPx1 nicht die komplette Funktion von GPx2 kompensieren. Diese Ergebnisse deuten darauf hin, dass die Funktion von GPx2 nicht nur in der Reduktion von H2O2 liegt. Vielmehr kann eine Rolle bei der Aufrechterhaltung der Homöostase von Zellen postuliert werden. Ein weiterer Bestandteil dieser Arbeit war die Klärung der Frage, welchen Einfluss GPx2 auf die entzündungsassoziierte Colonkarzinogenese ausübt. In dem hierfür verwendeten AOM/DSS-Model wird der karzinogene Prozess durch Entzündung vorangetrieben. Es erfolgte sowohl im Wildtyp als auch im GPx2-Knockout zum einen die Bewertung des Entzündungsstatus des Colons und zum anderen wurde die Anzahl von ACF und Tumoren verglichen. Das Colon im GPx2-Knockout war wesentlich stärker entzündet als im Wildtyp. Diese Ergebnisse bestätigen die für die GPx2 postulierte antiinflammatorische Funktion. Normalerweise führt eine Erhöhung der Mitoseanzahl zur Regeneration des entzündeten Gewebes. Jedoch beeinflusst der Verlust von GPx2 vermutlich den Ablauf der Entzündung, indem beispielsweise die Regeneration des Gewebes durch die enorm hohe Apoptoserate am Kryptengrund verlangsamt wird. Des Weiteren hatten sich im GPx2-Knockout tendenziell mehr Tumore entwickelt. Somit korrelierte die Entzündung des Colons mit der Entwicklung von Tumoren. Der Verlust von GPx2 begünstigte vermutlich sowohl die Tumorinitiation als auch die Tumorprogression. Allerdings stimulierte die Expression von GPx2 ebenfalls das Tumorwachstum. Es kann geschlussfolgert werden, dass eine adäquate GPx2-Expression vor Entzündung schützt und somit das Risiko für Colonkrebs senkt. Ob GPx2 aber insgesamt pro- oder antikarzinogen wirkt, hängt vermutlich vom Stadium des Colonkarzinogenese ab.
Aggregation of the Amyloid β (Aβ) peptide to amyloid fibrils is associated with the outbreak of Alzheimer’s disease. Early aggregation intermediates in form of soluble oligomers are of special interest as they are believed to be the major toxic components in the process. These oligomers are of disordered and transient nature. Therefore, their detailed molecular structure is difficult to access experimentally and often remains unknown. In the present work extensive, fully atomistic replica exchange molecular dynamics simulations were performed to study the preaggregated, monomer states and early aggregation intermediates (dimers, trimers) of Aβ(25-35) and Aβ(10-35)-NH2 in aqueous solution. The folding and aggregation of Aβ(25-35) were studied at neutral pH and 293 K. Aβ(25-35) monomers mainly adopt β-hairpin conformations characterized by a β-turn formed by residues G29 and A30, and a β-sheet between residues N27–K28 and I31–I32 in equilibrium with coiled conformations. The β-hairpin conformations served as initial configurations to model spontaneous aggregation of Aβ(25-35). As expected, within the Aβ(25-35) dimer and trimer ensembles many different poorly populated conformations appear. Nevertheless, we were able to distinguish between disordered and fibril-like oligomers. Whereas disordered oligomers are rather compact with few intermolecular hydrogen bonds (HBs), fibril-like oligomers are characterized by the formation of large intermolecular β-sheets. In most of the fibril-like dimers and trimers individual peptides are fully extended forming in- or out-of-register antiparallel β-sheets. A small amount of fibril-like trimers contained V-shaped peptides forming parallel β-sheets. The dimensions of extended and V-shaped oligomers correspond well to the diameters of two distinct morphologies found for Aβ(25-35) fibrils. The transition from disordered to fibril-like Aβ(25-35) dimers is unfavorable but driven by energy. The lower energy of fibril-like dimers arises from favorable intermolecular HBs and other electrostatic interactions which compete with a loss in entropy. Approximately 25 % of the entropic cost correspond to configurational entropy. The rest relates to solvent entropy, presumably caused by hydrophobic and electrostatic effects. In contrast to the transition towards fibril-like dimers the first step of aggregation is driven by entropy. Here, we compared structural and thermodynamic properties of the individual monomer, dimer and trimer ensembles to gain qualitative information about the aggregation process. The β-hairpin conformation observed for monomers is successively dissolved in dimer and trimer ensembles while instead intermolecular β-sheets are formed. As expected upon aggregation the configurational entropy decreases. Additionally, the solvent accessible surface area (SASA), especially the hydrophobic SASA, decreases yielding a favorable solvation free energy which overcompensates the loss in configurational entropy. In summary, the hydrophobic effect, possibly combined with electrostatic effects, yields an increase in solvent entropy which is believed to be one major driving force towards aggregation. Spontaneous folding of the Aβ(10-35)-NH2 monomer was modeled using two force fields, GROMOS96 43a1 and OPLS/AA, and compared to primary NMR data collected at pH 5.6 and 283 K taken from the literature. Unexpectedly, the two force fields yielded significantly different main conformations. Comparison between experimental and calculated nuclear Overhauser effect (NOE) distances is not sufficient to distinguish between the different force fields. Additionally, the comparison with scalar coupling constants suggest that the chosen protonation in both simulations corresponds to a pH lower than in the experiment. Based on this analysis we were unable to determine which force field yields a better description of this system. Dimerization of Aβ(10-35)-NH2 was studied at neutral pH and 300 K. Dimer conformations arrange in many distinct, poorly populated and rather complex alignments or interlocking patterns which are rather stabilized by side chain interactions than by specific intermolecular hydrogen bonds. Similar to Aβ(25-35) dimers, transition towards β-sheet-rich, fibril-like Aβ(10-35) dimers is driven by energy competing with a loss in entropy. Here, transition is mediated by favorable peptide-solvent and solvent-solvent interactions mainly arising from electrostatic interactions.
Plants and some unicellular algae store carbon in the form of transitory starch on a diurnal basis. The turnover of this glucose polymer is tightly regulated and timely synthesis as well as mobilization is essential to provide energy for heterotrophic growth. Especially for starch degradation, novel enzymes and mechanisms have been proposed recently. However, the catalytic properties of these enzymes and their coordination with metabolic regulation are still to be discovered. This thesis develops theoretical methods in order to interpret and analyze enzymes and their role in starch degradation. In the first part, a novel description of interfacial enzyme catalysis is proposed. Since the initial steps of starch degradation involve reactions at the starch-stroma interface it is necessary to have a framework which allows the derivation of interfacial enzyme rate laws. A cornerstone of the method is the introduction of the available area function - a concept from surface physics - to describe the adsorption step in the catalytic cycle. The method is applied to derive rate laws for two hydrolases, the Beta-amylase (BAM3) and the Isoamylase (DBE/ISA3), as well as to the Glucan, water dikinase (GWD) and a Phosphoglucan phosphatase (DSP/SEX4). The second part uses the interfacial rate laws to formulate a kinetic model of starch degradation. It aims at reproducing the stimulatory effect of reversible phosphorylation by GWD and DSP on the breakdown of the granule. The model can describe the dynamics of interfacial properties during degradation and suggests that interfacial amylopectin side-chains undergo spontaneous helix-coil transitions. Reversible phosphorylation has a synergistic effect on glucan release especially in the early phase dropping off during degradation. Based on the model, the hypothesis is formulated that interfacial phosphorylation is important for the rapid switch from starch synthesis to starch degradation. The third part takes a broader perspective on carbohydrate-active enzymes (CAZymes) but is motivated by the organization of the downstream pathway of starch breakdown. This comprises Alpha-1,4-glucanotransferases (DPE1 and DPE2) and Alpha-glucan-phosphorylases (Pho or PHS) both in the stroma and in the cytosol. CAZymes accept many different substrates and catalyze numerous reactions and therefore cannot be characterized in classical enzymological terms. A concise characterization is provided by conceptually linking statistical thermodynamics and polymer biochemistry. Each reactant is interpreted as an energy level, transitions between which are constrained by the enzymatic mechanisms. Combinations of in vitro assays of polymer-active CAZymes essential for carbon metabolism in plants confirmed the dominance of entropic gradients. The principle of entropy maximization provides a generalization of the equilibrium constant. Stochastic simulations confirm the results and suggest that randomization of metabolites in the cytosolic pool of soluble heteroglycans (SHG) may contribute to a robust integration of fluctuating carbon fluxes coming from chloroplasts.
Plant growth and survival depend on photosynthesis in the leaves. This involves the uptake of carbon dioxide from the atmosphere and the simultaneous capture of light energy to produce organic molecules, which enter metabolism and are converted to many other compounds which then serve as building blocks for biomass growth. Leaves are organs specialised for photosynthetic carbon dioxide fixation. The function of leaves involves many trade-offs which must be optimised in order to achieve effective use of resources and maximum photosynthesis. It is known that the morphology of leaves adjusts to the growth environment of plants and this is important for optimising their function for photosynthesis. However, it is unclear how this adjustment is regulated. The general aim of the work presented in this thesis is to understand how leaf growth and morphology are regulated in the model species Arabidopsis thaliana. Special attention was dedicated to the possibility that there might be internal metabolic signals within the plant which affect the growth and development of leaves. In order to investigate this question, leaf growth and development must be considered beyond the level of the single organ and in the context of the whole plant because leaves do not grow autonomously but depend on resources and regulatory influences delivered by the rest of the plant. Due to the complexity of this question, three complementary approaches were taken. In the first and most specific approach it was asked whether a proposed down-stream component of sucrose signalling, trehalose-6-phosphate (Tre-6-P), might influence leaf development and growth. To investigate this question, transgenic Arabidopsis lines with perturbed levels of Tre-6-P were generated using the constitutive 35S promoter to express bacterial enzymes involved in trehalose metabolism. These experiments also led to an unanticipated project concerning a possible role for Tre-6-P in stomatal function, which is another very important function in leaves. In a second and more general approach it was investigated whether changes in sugar levels in plants affect the morphogenesis of leaves in response to light. For this, a series of metabolic mutants impaired in central metabolism were grown in one light environment and their leaf morphology was analysed. In a third and even more general approach the natural variation in leaf and rosette morphological traits was investigated in a panel of wild Arabidopsis accessions with the aim of understanding how leaf morphology affects leaf function and whole plant growth and how different traits relate to each other. The analysis included measurements of leaf morphological traits as well as the number of leaves in the plant to put leaf morphology in a whole plant context. The variance in plant growth could not be explained by variation in photosynthetic rates and only to a small degree by variation in rates of dark respiration. There were four key axes of variation in rosette and leaf morphology – leaf area growth, leaf thickness, cell expansion and leaf number. These four processes were integrated in the context of whole plant growth by models that employed a multiple linear regression approach. This then led to a theoretical approach in which a simple allometric mathematical model was constructed, linking leaf number, leaf size and plant growth rate together in a whole plant context in Arabidopsis.
Impact of apoplastic glycoside hydrolases on xyloglucan structure and function in arabidopsis
(2011)
Regulation of gene transcription plays a major role in mediating cellular responses and physiological behavior in all known organisms. The finding that similar genes are often regulated in a similar manner (co-regulated or "co-expressed") has directed several "guilt-by-association" approaches in order to reverse-engineer the cellular transcriptional networks using gene expression data as a compass. This kind of studies has been considerably assisted in the recent years by the development of high-throughput transcript measurement platforms, specifically gene microarrays and next-generation sequencing. In this thesis, I describe several approaches for improving the extraction and interpretation of the information contained in microarray based gene expression data, through four steps: (1) microarray platform design, (2) microarray data normalization, (3) gene network reverse engineering based on expression data and (4) experimental validation of expression-based guilt-by-association inferences. In the first part test case is shown aimed at the generation of a microarray for Thellungiella salsuginea, a salt and drought resistant close relative to the model plant Arabidopsis thaliana; the transcripts of this organism are generated on the combination of publicly available ESTs and newly generated ad-hoc next-generation sequencing data. Since the design of a microarray platform requires the availability of highly reliable and non-redundant transcript models, these issues are addressed consecutively, proposing several different technical solutions. In the second part I describe how inter-array correlation artifacts are generated by the common microarray normalization methods RMA and GCRMA, together with the technical and mathematical characteristics underlying the problem. A solution is proposed in the form of a novel normalization method, called tRMA. The third part of the thesis deals with the field of expression-based gene network reverse engineering. It is shown how different centrality measures in reverse engineered gene networks can be used to distinguish specific classes of genes, in particular essential genes in Arabidopsis thaliana, and how the use of conditional correlation can add a layer of understanding over the information flow processes underlying transcript regulation. Furthermore, several network reverse engineering approaches are compared, with a particular focus on the LASSO, a linear regression derivative rarely applied before in global gene network reconstruction, despite its theoretical advantages in robustness and interpretability over more standard methods. The performance of LASSO is assessed through several in silico analyses dealing with the reliability of the inferred gene networks. In the final part, LASSO and other reverse engineering methods are used to experimentally identify novel genes involved in two independent scenarios: the seed coat mucilage pathway in Arabidopsis thaliana and the hypoxic tuber development in Solanum tuberosum. In both cases an interesting method complementarity is shown, which strongly suggests a general use of hybrid approaches for transcript expression-based inferences. In conclusion, this work has helped to improve our understanding of gene transcription regulation through a better interpretation of high-throughput expression data. Part of the network reverse engineering methods described in this thesis have been included in a tool (CorTo) for gene network reverse engineering and annotated visualization from custom transcription datasets.