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Heme-copper oxidases (HCOs) are the terminal enzymes of the aerobic respiratory chain in the inner mitochondrial membrane or the plasma membrane in many prokaryotes. These multi-subunit membrane protein complexes catalyze the reduction of oxygen to water, coupling this exothermic reaction to the establishment of an electrochemical proton gradient across the membrane in which they are embedded. The energy stored in the electrochemical proton gradient is used e.g. by the FOF1-ATP synthase to generate ATP from ADP and inorganic phosphate. The superfamily of HCOs is phylogenetically classified into three major families: A, B and C. The A-family HCOs, represented by the well-studied aa3-type cytochrome c oxidases (aa3-CcOs), are found in mitochondria and many bacteria. The B-family of HCOs contains a number of bacterial and archaeal oxidases. The C-family comprises only the cbb3-type cytochrome c oxidase (cbb3-CcO) and is most distantly related to the mitochondrial respiratory oxidases.
RNA modifications are present in all three kingdoms of life and detected in all classes of cellular RNAs. RNA modifications are diverse, with more than 100 types of chemical modifications identified to date. These chemical modifications expand the topological repertoire of RNAs and are expected to fine-tune their functions. Ribosomal RNA (rRNA) contains two types of covalent modifications, either methylation on the sugar (Nm) or bases (mN), or base isomerization (conversion of uridine into pseudouridines, "). Pseudouridylations and ribose methylations are catalyzed by site-specific H/ACA and C/D box snoRNPs, respectively. The RNA component (snoRNA) of both types of snoRNPs is responsible for the site selection by base pairing with the rRNA substrate, whereas the protein component catalyzes the modification reaction: Nop1 in C/D box and Cbf5 in H/ACA box snoRNPs. Contrastingly, base methylations are performed by snoRNA independent, ‘protein-only’, methyltransferases (MTases). rRNA modifications occur at highly conserved positions, all clustering around functional ribosomal sites. Mutations in factors involved in rRNA modification have been linked to severe human diseases (e.g. X-linked Dyskeratosis congenita). Emerging evidences indicate that heterogeneity in RNA modification prevails, i.e. not all positions are modified at all time, and the concept of ‘specialized ribosomes’ has been coined. rRNA modification heterogeneity has been correlated with disease etiology (cancer), and shown to play a role in cell differentiation(hematopoiesis). Remarkably, alteration in rRNA modification patterns profoundly affects the preference of ribosomes for cap- versus IRESdependent translation initiation, with major consequences on cell physiology.
Physical Biology is a field of life sciences dealing with the extraction of quantitative data from biophysical or molecular biological experiments with different levels of complexity. Such data are further used as parameters for mathematical models of the biological system. These models allow to predict reactions on external stimuli by describing the relevant molecular interactions and are therefore used for example to generate a deeper comprehension of complex human diseases. An essential technique in biophysical research on human diseases is fluorescence microscopy. This is a constantly developed toolbox comprising a large number of specific labeling strategies, as well as a broad spectrum of fluorescent probes. It is further minimal invasive and therefore suitable for measurements in living cells or organisms. The sensitivity of modern photo-detectors even allows for the detection of a single fluorescent probe with an accuracy of approximately 10 nm.
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The model-prediction was further verified by two color SMLM experiments. In this work the development and application of imaging-systems are described which provide quantitative data with single-molecule resolution for systems biological model approaches with a low degree of abstractness. In the near future, the impact of mathematical models in the research field of complex human diseases will increase. The predictions of these models will be more exact, the more detailed and accurate the input parameters will become. This work gives an impression of how quantitative data obtained by SMLM may serve as input parameters for mathematical models at the single-cell level.
In den vergangenen Jahren haben ökologische Fragen in der Naturstoffforschung mehr und mehr an Bedeutung gewonnen. Naturstoffe bilden dabei einen wichtigen Aspekt in der Aufrechterhaltung symbiotischer Systeme.
Symbiosen stellen eine der treibenden Kräfte der Evolution dar. Diese artenübergreifende Interaktion zweier Organismen ermöglicht die Evolution in wechselseitiger Anpassung, wobei per Definition in die Kategorien Mutualismus, Kommensalismus und Parasitismus unterschieden wird. Teilweise führt die obligatorische Abhängigkeit eines Organismus zum partiellen Merkmals- und Stoffwechselwegverlust, der durch seinen Symbiose-Partner kompensiert wird. In den meisten Fällen stellt Symbiose ein komplexes Netzwerk aus mehr als zwei Lebewesen dar.
Diese Arbeit beschreibt die Anwendung der Klonierungsmethode ExRec ("overlap extension PCR-yeast homologous recombination") für die vereinfachte Bereitstellung von Naturstoffen. Es konnte ein 45 kb großes Gencluster erfolgreich kloniert und zwei neue Peptide Ambactin und Xenolindicin aus Xenorhabdus charakterisieren werden, wobei letztgenanntes von einem stillen Gencluster stammt. ExRec stellt eine sehr effiziente und wichtige Methode für die Klonierung großer Gencluster als auch für die Klonierung aus Metagenombibliotheken und RNA Pools dar...
Fungal organisms, including the most common human pathogens Candida spp., are commensal organisms that are widely present as part of the human flora. Fungal infections are, most frequently, local infections that do not compromise the life of patients. However, mycotic diseases can be life-threatening if they become systemic infections. Systemic fungal infections have risen over the last three decades in parallel to the increased immune-compromised population as a consequence of diseases (e.g. HIV/AIDS) or therapeutic interventions that affect the immune system (e.g. chemotherapy for cancer treatment and immunosuppressors used for patients with organ transplants). This has resulted in the demand of new antifungal drugs that can eradicate the new infections caused by these opportunistic fungal pathogens. However, most of the current compounds have poor pharmaceutical properties such as narrow spectrum of activity, susceptibility to be extruded by efflux pumps or lack of specificity, which make them not suitable for human clinical applications. The treatment of fungal and parasitic infections has been traditionally difficult because the infective organisms are eukaryotic cells that share most of the pathways and enzymes with human cells. To avoid side effects and to develop a targeted therapy, the research has traditionally been centered on the very few enzymes and pathways existing in the infectious organism but absent in humans. Until now, antifungal therapeutic options are limited and are almost dominated by azole class of sterol biosynthesis inhibitors affecting the synthesis of ergosterol, a major constituent of the fungal cell membrane. Because human cells do not have a cell wall, the development of effective and safe antifungal agents has also been directed to enzymes required for the synthesis of the cell wall. Alternatively, it is theoretically possible to target enzymes that are present in fungal organisms and in humans, when: 1) sufficient selectivity can be achieved, and 2) inhibition of the fungal enzyme is lethal to the fungus but does not produce major side effects to humans. In this line, it would be ideal to evaluate the development of selective inhibitors of enzymes which are already known to be drug targets, like protein kinases.
Mathematical modeling of Arabidopsis thaliana with focus on network decomposition and reduction
(2014)
Systems biology has become an important research field during the last decade. It focusses on the understanding of the systems which emit the measured data. An important part of this research field is the network analysis, investigating biological networks. An essential point of the inspection of these network models is their validation, i.e., the successful comparison of predicted properties to measured data. Here especially Petri nets have shown their usefulness as modeling technique, coming with sound analysis methods and an intuitive representation of biological network data.
A very important tool for network validation is the analysis of the Transition-invariants (TI), which represent possible steady-state pathways, and the investigation of the liveness property. The computational complexity of the determination of both, TI and liveness property, often hamper their investigation.
To investigate this issue, a metabolic network model is created. It describes the core metabolism of Arabidopsis thaliana, and it is solely based on data from the literature. The model is too complex to determine the TI and the liveness property.
Several strategies are followed to enable an analysis and validation of the network. A network decomposition is utilized in two different ways: manually, motivated by idea to preserve the integrity of biological pathways, and automatically, motivated by the idea to minimize the number of crossing edges. As a decomposition may not be preserving important properties like the coveredness, a network reduction approach is suggested, which is mathematically proven to conserve these important properties. To deal with the large amount of data coming from the TI analysis, new organizational structures are proposed. The liveness property is investigated by reducing the complexity of the calculation method and adapting it to biological networks.
The results obtained by these approaches suggest a valid network model. In conclusion, the proposed approaches and strategies can be used in combination to allow the validation and analysis of highly complex biological networks.
Cancer is a disease characterized by uncontrolled cell growth and the capacity to disseminate to distant organs. The properties of cancers are caused by genetic and epigenetic alterations when compared to their normal counterparts. Genetic mutations occur in oncogenes and tumor suppressor genes and are the initial drivers of cellular transformation (Lengauer et al., 1998; Vogelstein and Kinzler, 2004). In addition, epigenetic alterations, which influence the expression of oncogenes and tumor suppressor genes independently from sequence alterations, are also involved in the transformation process (Esteller and Herman, 2001; Sharma et al., 2010). Genetic alterations and epigenetic regulatory signals cooperate in tumor etiology. Glioblastoma multiforme (GBM) is a frequent and aggressive malignant brain tumor in humans. The median survival of GBM patients is about 15 months after diagnosis. Like in other cancers, genetic and epigenetic alterations can be detected in GBM. Genetic alterations in GBM affect cell growth, apoptosis, angiogenesis, and invasion; however, epigenetic alterations in GBM also affect the expression of oncogenes or tumor suppresser genes that increase tumor malignancy (Nagarajan and Costello, 2009).
Reprogramming is a cellular process in which somatic cells can be induced to assume the properties of less differentiated stem cells. This process can be mediated through epigenetic modifications of the genome of somatic cells by the action of four defined transcription factors (Oct4, Sox2, Klf4 and Myc) or by the action of the miR 302/367 cluster (Anokye-Danso et al., 2011; Takahashi and Yamanaka, 2006; Takahashi et al., 2007) and result in the generation of induced pluripotent stem cells (iPS cells). Reprogramming of somatic cells by the miR 302/367 cluster can generate nontumorigenic iPS cells through the inhibition of the epithelial to mesenchymal transition (EMT), cell cycle regulatory genes and epigenetic modifiers (Lin and Ying, 2013).
Characterization of mouse NOA1 : subcellular localizaion, G-Quadruplex binding and proteolysis
(2013)
Mitochondria contain their own protein synthesis machinery with mitoribosomes that are similar to prokaryotic ribosomes. The thirteen proteins encoded in the mitochondrial genome are members of the respiratory chain complexes that generate a proton gradient, which is the electromotoric force for ATP synthesis.
NOA1 (Nitric Oxide Associated Protein-1) is a nuclear encoded GTPase that positively influences mitochondrial respiration and ATP production. Although a role in mitoribosome assembly was assigned to NOA1 the underlying molecular mechanism is poorly understood. This work shows that the multi-domain protein NOA1 serves multiple purposes for the function of mitochondria. NOA1 is a dual localized protein that makes a detour through the nucleus before mitochondrial import. The nuclear shuttling is mediated by a nuclear localization signal and the now identified nuclear export signal. SELEX (Systemic Evolution of Ligands by Exponential Enrichment) analysis revealed a G-quadruplex binding motif that characterizes NOA1 as ribonucleoprotein (RNP). G-quadruplex binding was coupled to the GTPase activity and increased the GTP hydrolysis rate. The sequence of localization events and the identification of NOA1 being a RNP lead to the discussion of an alternative import pathway for RNPs into mitochondria. The short-lived NOA1 contains ClpX recognition motifs and is specifically degraded by the mitochondrial matrix protease ClpXP. NOA1 is the first reported substrate of ClpXP in higher eukaryotes and augments the contribution of the ClpXP protease for mitochondrial metabolism. To assess the direct action of NOA1 on the mitoribosome co-sedimentation assays were performed. They showed that the interaction of NOA1 and the mitoribosome is dependent on the GTPase function and the nascent peptide chain. In vitro, NOA1 facilitated the membrane insertion of newly translated and isotope labeled mitochondrial translation products into inverted mitochondrial inner membrane vesicles. In conclusion, NOA1 is a G-quadruplex-RNP that acts as mitochondrial membrane insertion factor for mtDNA-encoded proteins.
This thesis provides a comprehensive model of the molecular function of NOA1 and is the basis for future research. The identification of NOA1 as ClpXP substrate is a major contribution to the field of mitochondrial research.
In this study I analysed past and recent Daphnia populations from Lake Constance and Greifensee. Herefore, I first established a set of microsatellite markers applicable to European Hyalodaphnia species (chapter 1). Primers were also identified for species specific fragment lengths. 32 markers were then available to characterize the resting egg banks of Daphnia galeata and D. hyalina. Chapter 2 presents the reconstruction of the taxonomic composition in these two ecologically different lakes. This part of my work shows that the eutrophication that occurred in both lakes in the mid of the last century has strongly influenced the Daphnia populations. In both lakes Daphnia galeata established and hybridized with the indigenous D. hyalina. Interspecific hybridization resulted in introgression on the mitochondrial and nuclear level. In chapter 3 resting eggs from the sediments of the 1960s, 1970s, 1980s, 1990s and 2000s were characterized with microsatellite markers. The aim was to specify the extent of interspecific hybridization and nuclear introgression assuming that the genetic exchange between both species has an impact on their adaptation to their habitat. In life history experiments D. galeata and D. galeata x hyalina clones hatched from different time periods showed significant differential responses to food quality. Therefore, the question had to be answered how the Daphnia resting egg bank and the planktonic population are connected. In chapter 4 hatching experiments were conducted to bridge this gap of scientific knowledge in the life cycle of cyclic parthenogenetic waterfleas. Only D. galeata individuals were able to establish a clonal lineage after maturity. All observed recombinant individuals did not reproduce at all or firstly went through another sexual phase of reproduction i.e. produced resting eggs. In order to compare the findings of chapter 4 with the taxon composition of the recent planktonic population of Daphnia in Lake Constance, samples were taken over one season (between May 2005 and September 2006). During the season, the taxonomic composition of Daphnia changes severely with D. galeata being most abundant during the warm season and D. hyalina in the cold season. Moreover, some individuals were detected, that did not follow this pattern. With mitochondrial analysis those individuals were identified as mitochondrial introgressants and processed to life history experiments. Significant differences in the somatic growth rate under different temperatures (5°C, 12.5°C and 20°C) were related to the origin of the mitochondrial genome rather than the nuclear taxonomic assignment of the individual.
The findings of this study show that all organisms exposed to rapid ecological changes and their microevolutionary reaction to those.
The human endothelin receptors, ETA and ETB, are two members of the G-protein coupled receptors family (GPCRs) and they are key players in cardiovascular regulation. The characterization of their functionality in vitro has been limited by the possibility to obtain high quality samples using conventional expression systems. The Cell-Free expression system is an alternative technique for the production of membrane protein as well as GPCRs and can overcome some of the limitations that are commonly encountered using an in vivo approach. Cell-Free expression protocols for the two receptors ETA and ETB have been optimized by implementing post- and co-translational association to lipid bilayers. The efficiency of the reconstitution or association to liposomes and nanodiscs has systematically been studied and the ligand binding properties of the two receptors have been analyzed using a set of different complementary techniques. In several different conditions a high affinity binding of the peptide ligand ET-1 to both endothelin receptors could be obtained and the highest activity values were detected in sample prepared using a co-translational approach in presence of nanodiscs. Furthermore, the characteristic differential binding pattern of selected agonists and antagonists to the two receptors was confirmed. In samples obtained from several Cell-Free expression conditions, two intrinsic properties of the functionally folded ETB receptor, such as the proteolytic processing based on conformational recognition as well as the formation of SDS-resistant complexes with the peptide ligand ET-1, were detected. ETA and ETB are able to induce in vivo the activation of hetrotrimeric G proteins upon stimulation with an agonist, leading to the dissociation of the heterotrimeric complex and the exchange of GDP to GTP in the Galpha subunit. The Cell-Free expression system was chosen for the production of two G alpha subunit, Galpha s and Galpha q. Soluble expression of the two proteins was achieved and the production of active Galpha s was confirmed using fluorescent as well as radioactive assays. In conclusion, the obtained results document a new process for the production of ligand binding competent endothelin receptors, as well as Galpha proteins, using a Cell-Free expression system. The combination of this expression system and the nanodiscs technology appears to be a promising tool for the further characterization of membrane proteins as well as GPCRs.