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Institute
- Theodor-Boveri-Institut für Biowissenschaften (105) (remove)
Sonstige beteiligte Institutionen
- DNA Analytics Core Facility, Biocenter, University of Würzburg, Würzburg, Germany (1)
- Department of Animal Ecology and Tropical Biology, University of Würzburg, Würzburg, Germany (1)
- Forschungsstation Fabrikschleichach (1)
- Institut für Tierökologie und Tropenbiologie (1)
- Interdisziplinäres Zentrum für Klinische Forschung (ZIKF), Würzburg (1)
- Klinische Mikrobiologie am Universitätsklinikum Erlangen (1)
Neisseria gonorrhoeae is a human-specific pathogen that causes gonorrhea. It is defined as a super bacterium by the WHO due to the emergence of gonococci that are resistant to a variety of antibiotics and a rapidly increasing infection incidence. Genome-wide investigation of neisserial gene essentiality and novel virulence factors is urgently required in order to identify new targets for anti-neisserial therapeutics. To identify essential genes and new virulence factors, a high-density mutant library in N. gonorrhoeae MS11 was generated by in vitro transposon mutagenesis. The transposon library harbors more than 100,000 individual mutants, a density that is unprecedented in gonococcal research. Essential genes in N. gonorrhoeae were determined by enumerating frequencies of transposon insertion sites (TIS) with Illumina deep sequencing (Tn-seq). Tn-seq indicated an average distance between adjacent TIS of 25 bp. Statistical analysis unequivocally demonstrated 781 genes that were significantly depleted in TIS and thus are essential for Neisseria survival. A subset of the genes was experimentally verified to comprise essential genes and thus support the outcome of the study. The hereby identified candidate essential genes thus may constitute excellent targets for the development of new antibiotics or vaccines.
In a second study, the transposon mutant library was applied in a genome-scale “negative-selection strategy” to identify genes that are involved in low phosphate-dependent invasion (LPDI). LPDI is dependent on the Neisseria porin subtype PorBIA which acts as an epithelial cell invasin in absence of phosphate and is associated with severe pathogenicity in disseminated gonococcal infections (DGI). Tn-seq demonstrated 98 genes, which were involved in adherence to host cells and 43 genes involved in host cell invasion. E.g. the hypothetical protein NGFG_00506, an ABC transporter ATP-binding protein NGFG_01643, as well as NGFG_04218 encoding a homolog of mafI in N. gonorrhoeae FA1090 were experimentally verified as new invasive factors in LPDI. NGFG_01605, a predicted protease, was identified to be a common factor involved in PorBIA, Opa50 and Opa57-mediated neisserial engulfment by the epithelial cells. Thus, this first systematic Tn-seq application in N. gonorrhoeae identified a set of previously unknown N. gonorrhoeae invasive factors which demonstrate molecular mechanisms of DGI.
In contrast to c-Myc, a deregulated expression of the MYCN gene is restricted to human neuroendocrine tumours. In most cases, the excessive activity of N-Myc results from a MYCN amplification. In neuroblastoma, amplification of MYCN is a predictor of poor prognosis and resistance to therapy. The inability to target the N-Myc protein directly necessitates the search for alternative targets. This project aimed at identifying genes specifically required for growth and survival of cells that express high levels of N-Myc using high-throughput shRNA screening combined with next generation sequencing. The identification and analysis of these genes will shed light on functional interaction partners of N-Myc.
We screened a shRNA library containing 18,327 shRNAs and identified 148 shRNAs, which were selectively depleted in the presence of active N-Myc. In addition, shRNAs targeting genes that are involved in p53 and ARF turnover and apoptosis were depleted in the cell population during the screen. These processes are known to affect N-Myc-mediated apoptosis. Consequently, these results biologically validated the screen. The 148 shRNAs that showed a significant synthetic lethal interaction with high levels of N-Myc expression were further analysed using the bioinformatics program DAVID. We found an enrichment of shRNAs that target genes involved in specific biological processes. For example, we validated synthetic lethal interactions for genes such as, THOC1, NUP153 and LARP7, which play an important role in the process of RNA polymerase II-mediated transcription elongation. We also validated genes that are involved in the neddylation pathway.
In the screen we identified Cullin 3, which is a component of the BTB-CUL3-Rbx1 ubiquitin ligase that is involved in the turnover of Cyclin E. Depletion of cullin 3 and activation of N-Myc was found to synergistically increase Cyclin E expression to supraphysiological levels, inducing S-phase arrest and a strong DNA damage response.
Together with results from a proteomics analysis of N-Myc associated proteins, our results lead us to the following hypothesis: In a neuroblastoma cell, the high levels of N-Myc result in a conflict between RNA polymerase II and the replication machinery during S-phase. The newly identified interaction partners of N- Myc are required to solve this conflict. Consequently, loss of the interaction leads to a massive DNA damage and the induction of apoptosis. In addition, inhibition or depletion of the essential components of the neddylation pathway also results in an unresolvable problem during S-phase.
Eye structure, activity rhythms, and visually-driven behavior are tuned to visual niche in ants
(2014)
Insects have evolved physiological adaptations and behavioral strategies that allow them to cope with a broad spectrum of environmental challenges and contribute to their evolutionary success. Visual performance plays a key role in this success. Correlates between life style and eye organization have been reported in various insect species. Yet, if and how visual ecology translates effectively into different visual discrimination and learning capabilities has been less explored. Here we report results from optical and behavioral analyses performed in two sympatric ant species, Formica cunicularia and Camponotus aethiops. We show that the former are diurnal while the latter are cathemeral. Accordingly, F. cunicularia workers present compound eyes with higher resolution, while C. aethiops workers exhibit eyes with lower resolution but higher sensitivity. The discrimination and learning of visual stimuli differs significantly between these species in controlled dual-choice experiments: discrimination learning of small-field visual stimuli is achieved by F. cunicularia but not by C. aethiops, while both species master the discrimination of large-field visual stimuli. Our work thus provides a paradigmatic example about how timing of foraging activities and visual environment match the organization of compound eyes and visually-driven behavior. This correspondence underlines the relevance of an ecological/evolutionary framework for analyses in behavioral neuroscience.
Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites.
miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed.
In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the “Butterfly” approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. “LS-MIDA” allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software “Isotopo” allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).
Single-molecule (SM) fluorescence microscopy allows the imaging of biomolecules in cultured cells with a precision of a few nanometres but has yet to be implemented in living adult animals. Here we used split-GFP (green fluorescent protein) fusions and complementation-activated light microscopy (CALM) for subresolution imaging of individual membrane proteins in live Caenorhabditis elegans (C. elegans). In vivo tissue-specific SM tracking of transmembrane CD4 and voltage-dependent Ca(2+) channels (VDCC) was achieved with a precision of 30 nm within neuromuscular synapses and at the surface of muscle cells in normal and dystrophin-mutant worms. Through diffusion analyses, we reveal that dystrophin is involved in modulating the confinement of VDCC within sarcolemmal membrane nanodomains in response to varying tonus of C. elegans body-wall muscles. CALM expands the applications of SM imaging techniques beyond the petri dish and opens the possibility to explore the molecular basis of homeostatic and pathological cellular processes with subresolution precision, directly in live animals.