Vandecan Yves, Blossey Ralf
Interdisciplinary Research Institute USR 3078 CNRS and Université de Sciences et de Technologies de Lille, Parc de la Haute Borne, 50 Avenue de Halley, 59658 Villeneuve d'Ascq, France.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Apr;87(4):042705. doi: 10.1103/PhysRevE.87.042705. Epub 2013 Apr 10.
The stochastic dynamics of gene expression is often described by highly abstract models involving only the key molecular actors DNA, RNA, and protein, neglecting all further details of the transcription and translation processes. One example of such models is the "gene gate model," which contains a minimal set of actors and kinetic parameters, which allows us to describe the regulation of a gene by both repression and activation. Based on this approach, we formulate a master equation for the case of a single gene regulated by its own product-a transcription factor-and solve it exactly. The obtained gene product distributions display features of mono- and bimodality, depending on the choice of parameters. We discuss our model in the perspective of other models in the literature.
基因表达的随机动力学通常由高度抽象的模型来描述,这些模型仅涉及关键分子成分DNA、RNA和蛋白质,而忽略了转录和翻译过程的所有其他细节。这类模型的一个例子是“基因门模型”,它包含一组最小的成分和动力学参数,使我们能够描述基因通过抑制和激活的调控。基于这种方法,我们针对由其自身产物——一种转录因子调控的单个基因的情况,建立了一个主方程并精确求解。根据参数的选择,所得到的基因产物分布呈现出单峰和双峰的特征。我们从文献中其他模型的角度讨论我们的模型。