Transcriptional Bursting Diversifies the Behaviour of a Toggle Switch: Hybrid Simulation of Stochastic Gene Expression

被引:25
作者
Bokes, Pavol [1 ]
King, John R. [2 ]
Wood, Andrew T. A. [2 ]
Loose, Matthew [3 ]
机构
[1] Comenius Univ, Dept Appl Math & Stat, Bratislava 84248, Slovakia
[2] Univ Nottingham, Sch Math Sci, Ctr Math Med & Biol, Nottingham NG7 2RD, England
[3] Univ Nottingham, Queens Med Ctr, Inst Genet, Nottingham NG7 2UH, England
基金
英国生物技术与生命科学研究理事会;
关键词
Gene expression; Stochastic hybrid models; CELLULAR CONTROL PROCESSES; REGULATORY NETWORKS; DYNAMICS; MODELS; DISTRIBUTIONS; MATHEMATICS; COMMITMENT; EVOLUTION; FEEDBACK; SYSTEMS;
D O I
10.1007/s11538-013-9811-z
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Hybrid models for gene expression combine stochastic and deterministic representations of the underlying biophysical mechanisms. According to one of the simplest hybrid formalisms, protein molecules are produced in randomly occurring bursts of a randomly distributed size while they are degraded deterministically. Here, we use this particular formalism to study two key regulatory motifs-the autoregulation loop and the toggle switch. The distribution of burst times is determined and used as a basis for the development of exact simulation algorithms for gene expression dynamics. For the autoregulation loop, the simulations are compared to an analytic solution of a master equation. Simulations of the toggle switch reveal a number of qualitatively distinct scenarios with implications for the modelling of cell-fate selection.
引用
收藏
页码:351 / 371
页数:21
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