Exploring the roles of noise in the eukaryotic cell cycle

被引:106
作者
Kar, Sandip [1 ]
Baumann, William T. [2 ]
Paul, Mark R. [3 ]
Tyson, John J. [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Dept Biol Sci, Blacksburg, VA 24061 USA
[2] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[3] Virginia Polytech Inst & State Univ, Dept Mech Engn, Blacksburg, VA 24061 USA
基金
美国国家卫生研究院;
关键词
cyclin-dependent kinase; gene expression; network dynamics; stochastic model; mRNA turnover; FISSION YEAST; MODEL; DYNAMICS; SIZE; STOCHASTICITY; ANTAGONISM; DIVISION; TIMES;
D O I
10.1073/pnas.0810034106
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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 (approximate to 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.
引用
收藏
页码:6471 / 6476
页数:6
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