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Nonspecific transcription factor binding can reduce noise in the expression of downstream proteins

机译:非特异性转录因子结合可以减少下游蛋白质表达中的噪音

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Transcription factors (TFs) interact with a multitude of binding sites on DNA and partner proteins inside cells. We investigate how nonspecific binding/unbinding to such decoy binding sites affects the magnitude and time-scale of random fluctuations in TF copy numbers arising from stochastic gene expression. A stochastic model of TF gene expression, together with decoy site interactions is formulated. Distributions for the total (bound and unbound) and free (unbound) TF levels are derived by analytically solving the chemical master equation under physiologically relevant assumptions. Our results show that increasing the number of decoy binding sides considerably reduces stochasticity in free TF copy numbers. The TF autocorrelation function reveals that decoy sites can either enhance or shorten the time-scale of TF fluctuations depending on model parameters. To understand how noise in TF abundances propagates downstream, a TF target gene is included in the model. Intriguingly, we find that noise in the expression of the target gene decreases with increasing decoy sites for linear TF-target protein dose-responses, even in regimes where decoy sites enhance TF autocorrelation times. Moreover, counterintuitive noise transmissions arise for nonlinear dose-responses. In summary, our study highlights the critical role of molecular sequestration by decoy binding sites in regulating the stochastic dynamics of TFs and target proteins at the single-cell level.
机译:转录因子(TFs)与DNA和细胞内伴侣蛋白上的大量结合位点相互作用。我们调查如何非特异性结合/取消绑定到这样的诱饵结合位点如何影响由随机基因表达引起的TF拷贝数的随机波动的幅度和时间尺度。建立了TF基因表达的随机模型,以及诱饵位点相互作用。总(结合和未结合)和游离(未结合)TF水平的分布是通过在生理相关假设下通过解析化学主方程式得出的。我们的结果表明,增加诱饵结合面的数量会大大降低自由TF拷贝数的随机性。 TF自相关函数表明,诱饵位点可以根据模型参数增强或缩短TF波动的时间尺度。为了了解TF中的噪音如何向下游传播,模型中包含了TF目标基因。有趣的是,我们发现目标基因表达的噪声会随着线性TF-靶蛋白剂量反应的诱饵位点的增加而降低,即使在诱饵位点增加TF自相关时间的情况下也是如此。此外,对于非线性剂量响应,产生了违反直觉的噪声传播。总而言之,我们的研究强调了诱饵结合位点对分子隔离的关键作用是在单细胞水平上调节TF和靶蛋白的随机动力学。

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