Catching transcriptional regulation by thermostatistical modeling
|Title:||Catching transcriptional regulation by thermostatistical modeling||Authors:||Frank, Till D.
|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 aspects; Nucleic acids; Spatiotemporal pattern formation in cellular populations; Proteins; Biological 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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