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Stochastic phenotype transition of a single cell in an intermediate region of gene-state switching

机译:中间体中单个细胞的随机表型转变   基因状态转换区域

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摘要

Multiple phenotypic states often arise in a single cell with differentgene-expression states that undergo transcription regulation with positivefeedback. Recent experiments have shown that at least in E. coli, the genestate switching can be neither extremely slow nor exceedingly rapid as manyprevious theoretical treatments assumed. Rather it is in the intermediateregion which is difficult to handle mathematically.Under this condition, from afull chemical-master-equation description we derive a model in which theprotein copy-number, for a given gene state, follow a deterministic mean-fielddescription while the protein synthesis rates fluctuate due to stochasticgene-state switching. The simplified kinetics yields a nonequilibrium landscapefunction, which, similar to the energy function for equilibrium fluctuation,provides the leading orders of fluctuations around each phenotypic state, aswell as the transition rates between the two phenotypic states. This rateformula is analogous to Kramers theory for chemical reactions. The resultingbehaviors are significantly different from the two limiting cases studiedpreviously.
机译:多个表型状态通常在具有不同基因表达状态的单个细胞中出现,并通过正反馈进行转录调控。最近的实验表明,至少在大肠杆菌中,与许多先前的理论方法一样,基因状态转换既不能极慢也不能极快。而是在中间区域很难用数学方法处理。在这种情况下,根据完整的化学主方程描述,我们得出一个模型,其中对于给定的基因状态,蛋白质的拷贝数遵循确定的均值场描述,而蛋白质的合成速率由于随机基因状态转换而波动。简化的动力学产生了一个非平衡态势函数,类似于平衡波动的能量函数,它提供了每个表型态周围波动的前导顺序,以及两个表型态之间的过渡速率。该速率公式类似于关于化学反应的Kramers理论。所得的行为与先前研究的两个极限情况有很大的不同。

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