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抑制条件下的随机基因表达建模

Modeling stochastic gene expression under repression.

作者信息

Innocentini G C P, Hornos J E M

机构信息

Instituto de Física de São Carlos, Universidade de São Paulo, Caixa Postal 369, 13560-970, São Carlos, SP, Brazil.

出版信息

J Math Biol. 2007 Sep;55(3):413-31. doi: 10.1007/s00285-007-0090-x. Epub 2007 May 22.

Abstract

Intrinsic transcriptional noise induced by operator fluctuations is investigated with a simple spin-like stochastic model. The effects of transcriptional fluctuations in protein synthesis are probed by coupling transcription and translation by an amplificative interaction. In the presence of repression a new term contributes to the noise, which depends on the rate of mRNA production. If the switch decay time is small compared with the mRNA life time, the noise is also small. In general the damping of protein production by a repressive agent occurs linearly but fluctuations can show a maximum at intermediate repression. The discrepancy among the switch decay time, the mRNA degradation, and protein degradation is crucial for the repressive control in translation without large fluctuations. The noise profiles obtained here are in quantitative agreement with recent experiments.

摘要

通过一个简单的类自旋随机模型研究了由操纵子波动引起的内在转录噪声。通过放大相互作用将转录和翻译耦合,探究了转录波动在蛋白质合成中的作用。在存在阻遏的情况下,一个新的项对噪声有贡献,该项取决于mRNA的产生速率。如果开关衰减时间比mRNA寿命小,则噪声也小。一般来说,阻遏剂对蛋白质产生的抑制呈线性发生,但波动在中等阻遏水平时可能会出现最大值。开关衰减时间、mRNA降解和蛋白质降解之间的差异对于翻译中的阻遏控制至关重要,可避免出现大的波动。这里得到的噪声分布与最近的实验在定量上是一致的。

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