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  • 标题:Stochastic simulations of the origins and implications of long-tailed distributions in gene expression
  • 本地全文:下载
  • 作者:Sandeep Krishna ; Bidisha Banerjee ; T. V. Ramakrishnan
  • 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
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