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	Constructing the Energy Landscape for Genetic Switching System Driven by Intrinsic Noise
	Lv, Cheng ; Li, Xiaoguang ; Li, Fangting ; Li, Tiejun
	2014
关键词	POTENTIAL LANDSCAPE ESCHERICHIA-COLI EXIT PROBLEM EXPRESSION NETWORKS PATHS FATE
英文摘要	Genetic switching driven by noise is a fundamental cellular process in genetic regulatory networks. Quantitatively characterizing this switching and its fluctuation properties is a key problem in computational biology. With an autoregulatory dimer model as a specific example, we design a general methodology to quantitatively understand the metastability of gene regulatory system perturbed by intrinsic noise. Based on the large deviation theory, we develop new analytical techniques to describe and calculate the optimal transition paths between the on and off states. We also construct the global quasi-potential energy landscape for the dimer model. From the obtained quasi-potential, we can extract quantitative results such as the stationary distributions of mRNA, protein and dimer, the noise strength of the expression state, and the mean switching time starting from either stable state. In the final stage, we apply this procedure to a transcriptional cascades model. Our results suggest that the quasi-potential energy landscape and the proposed methodology are general to understand the metastability in other biological systems with intrinsic noise.; Multidisciplinary Sciences; SCI(E); PubMed; 4; ARTICLE; li_fangting@pku.edu.cn; tieli@pku.edu.cn; 2; e88167; 9
语种	英语
出处	SCI ; PubMed
出版者	plos one
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/147488]
专题	数学科学学院 物理学院 生命科学学院
推荐引用方式 GB/T 7714	Lv, Cheng,Li, Xiaoguang,Li, Fangting,et al. Constructing the Energy Landscape for Genetic Switching System Driven by Intrinsic Noise. 2014-01-01.

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