Exact distributions of threshold crossing times of proteins under post-transcriptional regulation by small RNAs

Syed Yunus Ali, Ashok Prasad, Dibyendu Das
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Abstract

The timings of several cellular events like cell lysis, cell division, or pore formation in endosomes are regulated by the time taken for the relevant proteins to cross a threshold in number or concentration. Since protein synthesis is stochastic, the threshold crossing time is a first passage problem. The exact distributions of these first passage processes have been obtained recently for unregulated and auto-regulated genes. Many proteins are however regulated by post-transcriptional regulation, controlled by small non-coding RNAs (sRNAs). Certain mathematical models of gene expression with post-transcriptional sRNA regulation have been recently exactly mapped to models without sRNA regulation. Utilizing this mapping and the exact distributions, we calculate exact results on fluctuations (full distribution, all cumulants, and characteristic times) of protein threshold crossing times in the presence of sRNA regulation. We derive two interesting predictions from these exact results. We show that the size of the fluctuation of the threshold crossing times have a non-monotonic U-shaped behavior as a function of the rates of binding and unbinding of the sRNA-mRNA complex. Thus there are optimal parameters that minimize noise. Furthermore, the fluctuations in models with sRNA regulation may be higher or lower compared to the model without regulation, depending on the mean protein burst size.
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受小 RNA 转录后调控的蛋白质阈值跨越时间的精确分布
细胞裂解、细胞分裂或内体孔形成等若干细胞事件的发生时间受相关蛋白质在数量或浓度上跨越阈值所需的时间调节。由于蛋白质的合成是随机的,因此跨越阈值的时间是一个首次通过问题。最近,人们已经获得了非调控基因和自动调控基因的首次通过过程的精确分布。然而,许多蛋白质受转录后调控,由小型非编码 RNA(sRNA)控制。某些受转录后 sRNA 调控的基因表达数学模型最近被精确地映射到了无 sRNA 调控的模型上。利用这种映射和精确分布,我们计算出了存在 sRNA 调控时蛋白质阈值跨越时间波动的精确结果(全分布、所有累积量和特征时间)。我们从这些精确结果中得出了两个有趣的预测。我们发现,阈值跨越时间的波动大小与 sRNA-mRNA 复合物的结合率和解结合率的函数关系呈非单调的 U 型。因此,存在使噪声最小化的最佳参数。此外,与无 sRNA 调节的模型相比,有 sRNA 调节的模型的波动可能更大,也可能更小,这取决于蛋白质猝发的平均大小。
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