Dresden 2017 – scientific programme
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BP: Fachverband Biologische Physik
BP 33: Posters - Systems Biology & Gene Expression and Signalling
BP 33.8: Poster
Tuesday, March 21, 2017, 14:00–16:00, P2-OG1
Optimizing Network Models of Nucleosome Configurations at the PHO5 Promoter in Yeast — •Michael Wolff1, Andrea Schmid2, Philipp Korber2, and Ulrich Gerland1 — 1Physik-Department TUM and Graduate School of Quantitative Biosciences Munich (QBM), James-Franck-Straße 1, 85748 Garching — 2Molekularbiologie Biomedizinisches Centrum, LMU, Großhaderner Strasse 9, 82152 Planegg-Martinsried
Nucleosomes are histone DNA complexes densely populating the DNA molecule and their positioning is key to a better understanding of the transcriptional regulation of eukaryotic genes. These positions are influenced by DNA sequence, competition with transcription factors and active reorganization by chromatin remodeling enzymes. A textbook example illustrating the role of nucleosome positioning in promoter regulation is the PHO5 gene in Saccharomyces cerevisiae. The PHO5 promoter is also one of the few cases in which single molecule data describing the probability that a promoter will adopt a given nucleosome configuration in vivo is available, even for different environmental conditions leading to induction or repression of PHO5 transcription. These measured configuration probabilities can be reproduced by Markov processes on nucleosome configuration networks describing remodeler mediated nucleosome assembly, disassembly and sliding along the DNA. Here we explore the space of these Markov models and search for agreement with further experimental data, such as nucleosome turnover rates and nucleosome occupancy after DNA sequence manipulation.