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Nonspecific transcription factor binding reduces variability in transcription factor and target protein expression

机译:非特异性转录因子结合降低了变异性   转录因子和靶蛋白表达

摘要

Transcription factors (TFs) interact with a multitude of binding sites on DNAand partner proteins inside cells. We investigate how nonspecificbinding/unbinding to such decoy binding sites affects the magnitude andtime-scale of random fluctuations in TF copy numbers arising from stochasticgene expression. A stochastic model of TF gene expression, together with decoysite interactions is formulated. Distributions for the total (bound andunbound) and free (unbound) TF levels are derived by analytically solving thechemical master equation under physiologically relevant assumptions. Ourresults show that increasing the number of decoy binding sides considerablyreduces stochasticity in free TF copy numbers. The TF autocorrelation functionreveals that decoy sites can either enhance or shorten the time-scale of TFfluctuations depending on model parameters. To understand how noise in TFabundances propagates downstream, a TF target gene is included in the model.Intriguingly, we find that noise in the expression of the target gene decreaseswith increasing decoy sites for linear TF-target protein dose-responses, evenin regimes where decoy sites enhance TF autocorrelation times. Moreover,counterintuitive noise transmissions arise for nonlinear dose-responses. Insummary, our study highlights the critical role of molecular sequestration bydecoy binding sites in regulating the stochastic dynamics of TFs and targetproteins at the single-cell level.
机译:转录因子(TFs)与细胞内DNA和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来增强或缩短TF波动的时间尺度。为了了解TFabundances中的噪声如何向下游传播,模型中包括了TF目标基因。有趣的是,我们发现目标基因表达中的噪声会随着线性TF-目标蛋白剂量反应的诱饵位点的增加而降低,即使在诱饵中位点增加了TF自相关时间。此外,对于非线性剂量响应会产生反常的噪声传播。总而言之,我们的研究强调了诱骗结合位点在隔离单分子水平上TF和靶蛋白的随机动力学中的分子隔离的关键作用。

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