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Exponential sensitivity of noise-driven switching in genetic networks

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dc.contributor.author Mehta, Pankaj
dc.contributor.author Mukhopadhyay, Ranjan
dc.contributor.author Wingreen, Ned S
dc.date.accessioned 2010-12-18T00:01:45Z
dc.date.available 2010-12-18T00:01:45Z
dc.date.issued 2008
dc.identifier.citation Pankaj Mehta et al 2008 Phys. Biol. 5 026005 en_US
dc.identifier.issn 1478-3975
dc.identifier.uri http://iopscience.iop.org/1478-3975/5/2/026005 en_US
dc.identifier.uri http://hdl.handle.net/2144/1387
dc.description.abstract Cells are known to utilize biochemical noise to probabilistically switch between distinct gene expression states. We demonstrate that such noise-driven switching is dominated by tails of probability distributions and is therefore exponentially sensitive to changes in physiological parameters such as transcription and translation rates. However, provided mRNA lifetimes are short, switching can still be accurately simulated using protein-only models of gene expression. Exponential sensitivity limits the robustness of noise-driven switching, suggesting cells may use other mechanisms in order to switch reliably. en_US
dc.language.iso en_US en_US
dc.publisher Physical Biology en_US
dc.subject Computational physics en_US
dc.subject Biological physics en_US
dc.subject Statistical physics and nonlinear systems en_US
dc.subject Chemical physics and physical chemistry en_US
dc.title Exponential sensitivity of noise-driven switching in genetic networks en_US
dc.type Article en_US


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