Cepeda-Humerez Sarah A, Rieckh Georg, Tkačik Gašper
Institute of Science and Technology Austria, Am Campus 1, A-3400 Klosterneuburg, Austria.
Phys Rev Lett. 2015 Dec 11;115(24):248101. doi: 10.1103/PhysRevLett.115.248101. Epub 2015 Dec 8.
Gene expression is controlled primarily by interactions between transcription factor proteins (TFs) and the regulatory DNA sequence, a process that can be captured well by thermodynamic models of regulation. These models, however, neglect regulatory crosstalk: the possibility that noncognate TFs could initiate transcription, with potentially disastrous effects for the cell. Here, we estimate the importance of crosstalk, suggest that its avoidance strongly constrains equilibrium models of TF binding, and propose an alternative nonequilibrium scheme that implements kinetic proofreading to suppress erroneous initiation. This proposal is consistent with the observed covalent modifications of the transcriptional apparatus and predicts increased noise in gene expression as a trade-off for improved specificity. Using information theory, we quantify this trade-off to find when optimal proofreading architectures are favored over their equilibrium counterparts. Such architectures exhibit significant super-Poisson noise at low expression in steady state.
基因表达主要由转录因子蛋白(TFs)与调控DNA序列之间的相互作用控制,这一过程可以通过调控的热力学模型很好地描述。然而,这些模型忽略了调控串扰:即非同源TFs可能启动转录的可能性,这对细胞可能产生灾难性影响。在这里,我们估计了串扰的重要性,并表明避免串扰强烈限制了TF结合的平衡模型,同时我们提出了一种替代的非平衡方案,该方案通过动力学校对来抑制错误起始。这一方案与转录装置中观察到的共价修饰一致,并预测基因表达中噪声增加是提高特异性所付出的代价。利用信息论,我们量化了这种权衡,以确定何时最优校对结构比其平衡对应结构更受青睐。这种结构在稳态低表达时表现出显著的超泊松噪声。