论文标题
mRNA翻译中的可变性：一种随机矩阵理论方法
Variability in mRNA Translation: A Random Matrix Theory Approach
论文作者
论文摘要
mRNA翻译的速率取决于核糖体沿mRNA的起始，伸长和终止速率。这些速率取决于许多“局部”因素，例如mRNA分子附近的自由核糖体和tRNA分子的丰度。所有这些因素都是随机的，它们的实验测量也很嘈杂。一个重要的问题是细胞中的蛋白质产生如何受到这种可观的变异性的影响。我们开发了一个新的理论框架来通过对速率进行建模为相同和独立分布的随机变量，并使用随机矩阵理论的工具来分析稳态生产率，从而解决了这个问题。分析揭示了普遍性的原理：平均蛋白质产量仅取决于随机变量可能达到的可能值集。这解释了尽管细胞过程的压倒性随身养生性，但如何稳定总蛋白质的产生。
The rate of mRNA translation depends on the initiation, elongation, and termination rates of ribosomes along the mRNA. These rates depend on many "local" factors like the abundance of free ribosomes and tRNA molecules in the vicinity of the mRNA molecule. All these factors are stochastic and their experimental measurements are also noisy. An important question is how protein production in the cell is affected by this considerable variability. We develop a new theoretical framework for addressing this question by modeling the rates as identically and independently distributed random variables and using tools from random matrix theory to analyze the steady-state production rate. The analysis reveals a principle of universality: the average protein production rate depends only on the of the set of possible values that the random variable may attain. This explains how total protein production can be stabilized despite the overwhelming stochasticticity underlying cellular processes.
