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dc.contributor.authorMehta, Pankaj
dc.contributor.authorMukhopadhyay, Ranjan
dc.contributor.authorWingreen, Ned S
dc.date.accessioned2010-12-18T00:01:45Z
dc.date.available2010-12-18T00:01:45Z
dc.date.issued2008
dc.identifier.citationPankaj Mehta et al 2008 Phys. Biol. 5 026005en_US
dc.identifier.issn1478-3975
dc.identifier.urihttp://iopscience.iop.org/1478-3975/5/2/026005en_US
dc.identifier.urihttp://hdl.handle.net/2144/1387
dc.description.abstractCells 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.isoen_USen_US
dc.publisherPhysical Biologyen_US
dc.subjectComputational physicsen_US
dc.subjectBiological physicsen_US
dc.subjectStatistical physics and nonlinear systemsen_US
dc.subjectChemical physics and physical chemistryen_US
dc.titleExponential sensitivity of noise-driven switching in genetic networksen_US
dc.typeArticleen_US


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