文章基本信息

标题：Stochastic simulations of the origins and implications of long-tailed distributions in gene expression
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作者：Sandeep Krishna ; Bidisha Banerjee ; T. V. Ramakrishnan 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2005
卷号：102
期号：13
页码：4771-4776
DOI：10.1073/pnas.0406415102
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：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.
关键词：fluctuations ; genetic switches ; single cell