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Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/2312

Title: Stochastic simulations of the origins and implications of long-tailed distributions in gene expression
Authors: Krishna, Sandeep
Banerjee, Bidisha
Ramakrishnan, T.V.
Shivashankar, G.V.
Keywords: fluctuations
genetic switches
single cell
Issue Date: 29-Mar-2005
Publisher: The National Academy of Sciences
Citation: Proceedings of the National Academy of Sciences of the U S A., 2005, Vol.102, p4771–4776
Abstract: Gene expression noise results in protein number distributions ranging from long-tailed to Gaussian. We show how long-tailed distributions arise from a stochastic model of the constituent chemical reactions and suggest that, in conjunction with cooperative switches, they lead to more sensitive selection of a subpopulation of cells with high protein number than is possible with Gaussian distributions. Single-cell-tracking experiments are presented to validate some of the assumptions of the stochastic simulations. We also examine the effect of DNA looping on the shape of protein distributions. We further show that when switches are incorporated in the regulation of a gene via a feedback loop, the distributions can become bimodal. This might explain the bimodal distribution of certain morphogens during early embryogenesis.
Description: Restricted Access. Please click on the alternative location for the open-access full text.
URI: http://hdl.handle.net/2289/2312
ISSN: 0027-8424
1091-6490 (Online)
Alternative Location: http://dx.doi.org/10.1073/pnas.0406415102
Copyright: 2005 The National Academy of Sciences
Appears in Collections:Research Papers (SCM)

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