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  • 标题:Exploring the roles of noise in the eukaryotic cell cycle
  • 本地全文:下载
  • 作者:Sandip Kar ; William T. Baumann ; Mark R. Paul
  • 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:2009
  • 卷号:106
  • 期号:16
  • 页码:6471-6476
  • DOI:10.1073/pnas.0810034106
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:The DNA replication-division cycle of eukaryotic cells is controlled by a complex network of regulatory proteins, called cyclin-dependent kinases, and their activators and inhibitors. Although comprehensive and accurate deterministic models of the control system are available for yeast cells, reliable stochastic simulations have not been carried out because the full reaction network has yet to be expressed in terms of elementary reaction steps. As a first step in this direction, we present a simplified version of the control system that is suitable for exact stochastic simulation of intrinsic noise caused by molecular fluctuations and extrinsic noise because of unequal division. The model is consistent with many characteristic features of noisy cell cycle progression in yeast populations, including the observation that mRNAs are present in very low abundance ({approx}1 mRNA molecule per cell for each expressed gene). For the control system to operate reliably at such low mRNA levels, some specific mRNAs in our model must have very short half-lives (<1 min). If these mRNA molecules are longer-lived (perhaps 2 min), then the intrinsic noise in our simulations is too large, and there must be some additional noise suppression mechanisms at work in cells.
  • 关键词:cyclin-dependent kinase ; gene expression ; network dynamics ; stochastic model ; mRNA turnover
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