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Publication : Stochastic simulations of the origins and implications of long-tailed distributions in gene expression.

First Author  Krishna Sandeep Year  2005
Journal  Proc Natl Acad Sci U S A Volume  102
Pages  4771-6 PubMed ID  15772163
Abstract Text  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. Doi  10.1073/pnas.0406415102
Issue  13 Month  Mar

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