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Spatial stochastic simulation of transcription factor binding reveals mechaniscms to control gene activation

Klann, M. ; Koeppl, H. (2012)
Spatial stochastic simulation of transcription factor binding reveals mechaniscms to control gene activation.
9th International Workshop on Computational Systems Biology (WCSB 2012).
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The activation of genes is one of the most prominent yet most stochastic processes in the cell. Gene activation controls the state of the cell. But normally only one or a few copies of each gene exist, causing a highly stochastic process. In addition, transcription factors (TF) that activate the respective gene have to find the corresponding target site on the tremendously long DNA strand. In order to elucidate the process, we have developed a particle-tracking algorithm including both the spatial and stochastic aspects of the process. TFs can diffuse through the nucleus which is filled with DNA strands. They can unspecifically bind to the DNA backbone or directly to the target gene sequence in a reversible manner. The results of the detailed simulation show that the activation of the genes does not only depend on the number of TFs and the specific binding process to the target sequence but is strongly controlled by the unspecific binding process to all other nucleotide sequences along the DNA.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2012
Autor(en): Klann, M. ; Koeppl, H.
Art des Eintrags: Bibliographie
Titel: Spatial stochastic simulation of transcription factor binding reveals mechaniscms to control gene activation
Sprache: Englisch
Publikationsjahr: 2012
Verlag: Tampere University of Technology, Tampere International Center for Signal Processing
Band einer Reihe: 61
Veranstaltungstitel: 9th International Workshop on Computational Systems Biology (WCSB 2012)
URL / URN: http://www.cs.tut.fi/wcsb12/WCSB2012.pdf
Kurzbeschreibung (Abstract):

The activation of genes is one of the most prominent yet most stochastic processes in the cell. Gene activation controls the state of the cell. But normally only one or a few copies of each gene exist, causing a highly stochastic process. In addition, transcription factors (TF) that activate the respective gene have to find the corresponding target site on the tremendously long DNA strand. In order to elucidate the process, we have developed a particle-tracking algorithm including both the spatial and stochastic aspects of the process. TFs can diffuse through the nucleus which is filled with DNA strands. They can unspecifically bind to the DNA backbone or directly to the target gene sequence in a reversible manner. The results of the detailed simulation show that the activation of the genes does not only depend on the number of TFs and the specific binding process to the target sequence but is strongly controlled by the unspecific binding process to all other nucleotide sequences along the DNA.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
Hinterlegungsdatum: 04 Apr 2014 12:53
Letzte Änderung: 23 Sep 2021 14:31
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