Transcriptional Bursting Diversifies the Behaviour of a Toggle Switch: Hybrid Simulation of Stochastic Gene Expression
Transcriptional Bursting Diversifies the Behaviour of a Toggle Switch: Hybrid Simulation of Stochastic Gene Expression
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DOI：
10.1007/s11538-013-9811-z
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发表时间：
2013-02-01
影响因子：
3.5
通讯作者：
Loose, Matthew
中科院分区：
文献类型：
--
作者：
Bokes, Pavol;King, John R.;Loose, Matthew
基因表达的混合模型结合了潜在生物物理机制的随机和确定性表示。根据最简单的混合形式之一，蛋白质分子以随机发生的、大小随机分布的突发形式产生，同时它们被确定性地降解。在这里，我们使用这种特殊的形式主义来研究两个关键的调节主题-自动调节回路和触发开关。确定了猝发时间的分布，并将其作为开发精确的基因表达动力学模拟算法的基础。对于自动调节回路，将仿真结果与主方程的解析解进行了比较。对拨动开关的模拟揭示了一些定性不同的场景，这对细胞命运选择的建模具有一定的意义。
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.