Catching transcriptional regulation by thermostatistical modeling

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Title: Catching transcriptional regulation by thermostatistical modeling
Authors: Frank, Till D.
Cheong, Alex
Okada-Hatakeyama, Mariko
et al.
Permanent link: http://hdl.handle.net/10197/5095
Date: 7-Aug-2012
Abstract: Gene expression is frequently regulated by multiple transcription factors (TFs). Thermostatistical methods allow for a quantitative description of interactions between TFs, RNA polymerase and DNA, and their impact on the transcription rates. We illustrate three different scales of the thermostatistical approach: the microscale of TF molecules, the mesoscale of promoter energy levels and the macroscale of transcriptionally active and inactive cells in a cell population. We demonstrate versatility of combinatorial transcriptional activation by exemplifying logic functions, such as AND and OR gates. We discuss a metric for cell-to-cell transcriptional activation variability known as Fermi entropy. Suitability of thermostatistical modeling is illustrated by describing the experimental data on transcriptional induction of NFκB and the c-Fos protein.
Type of material: Journal Article
Publisher: IOP Publishing
Copyright (published version): 2012 IOP Publishing
Keywords: General theory and mathematical aspectsNucleic acidsSpatiotemporal pattern formation in cellular populationsProteinsBiological physics
DOI: 10.1088/1478-3975/9/4/045007
Language: en
Status of Item: Peer reviewed
Appears in Collections:SBI Research Collection

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