Ribeiro Andre S
Institute for Biocomplexity and Informatics, Department of Physics and Astronomy, University of Calgary, Canada.
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Jun;75(6 Pt 1):061903. doi: 10.1103/PhysRevE.75.061903. Epub 2007 Jun 4.
Genetic toggle switches (TSs) are one of the best studied small gene regulatory networks (GRNs), due to their simplicity and relevant role. They have been interpreted as decision circuits in cell differentiation, a process long hypothesized to be bistable, or as cellular memory units. In these contexts, they must be reliable. Once a "decision" is made, the system must remain stable. One way to gain stability is by duplicating the genes of a TS and coupling the two TSs. Using a recent modeling strategy of GRNs, driven by a delayed stochastic simulation algorithm (delayed SSA) that allows modeling transcription and translation as multidelayed reactions, we analyze the stability of systems of coupled TSs. For this, we introduce the coupling strength (C), a parameter to characterize the GRN structure, against which we compare the GRN stability (S). We first show that time delays in transcription, associated to the promoter region release, ensure bistability of a TS, given no cooperative binding or self-activation reactions. Next, we couple two TSs and measure their toggling frequencies as C varies. Three dynamical regimes are observed: (i) for weak coupling, high frequency synchronized oscillations, (ii) for average coupling, low frequency synchronized oscillations, and (iii) for strong coupling the system becomes stable after a transient, in one of two steady states. The system stability, S, goes through a first order phase transition as C increases, in the average coupling regime. After, we study the effects of spatial separation in two compartments on the dynamics of two coupled TSs, where spatial separation is modeled as normally distributed random time delayed reactions. The phase transition of S, as C increases, occurs for lower values of C than when the two TSs are in the same compartment. Finally, we couple weakly and homogeneously several TSs within a single compartment and observe that as the number of coupled TSs increases, the system goes through the phase transition in S, from oscillatory to stable and for C values lower than in the two previous cases.
基因切换开关(TSs)是研究最为深入的小型基因调控网络(GRNs)之一,因其结构简单且具有重要作用。它们被视作细胞分化过程中的决策电路,长期以来人们一直假设细胞分化过程是双稳态的,或者被看作细胞记忆单元。在这些情况下,它们必须可靠。一旦做出“决策”,系统必须保持稳定。实现稳定性的一种方法是复制TS的基因并将两个TS耦合起来。我们运用一种最新的GRN建模策略,该策略由延迟随机模拟算法(延迟SSA)驱动,该算法允许将转录和翻译建模为多延迟反应,来分析耦合TS系统的稳定性。为此,我们引入耦合强度(C),这是一个表征GRN结构的参数,并据此比较GRN稳定性(S)。我们首先表明,在不存在协同结合或自激活反应的情况下,与启动子区域释放相关的转录时间延迟确保了TS的双稳态。接下来,我们耦合两个TS,并测量随着C的变化它们的切换频率。观察到三种动力学状态:(i)弱耦合时,高频同步振荡;(ii)中等耦合时,低频同步振荡;(iii)强耦合时,系统在经历一个瞬态后在两个稳态之一中变得稳定。随着C增加,系统稳定性S在中等耦合状态下经历一阶相变。之后,我们研究两个隔室中的空间分离对两个耦合TS动力学的影响,其中空间分离被建模为正态分布的随机时间延迟反应。随着C增加,S的相变发生时的C值低于两个TS处于同一隔室时的情况。最后,我们在单个隔室内弱耦合并均匀耦合多个TS,观察到随着耦合TS数量的增加,系统经历S的相变,从振荡变为稳定,且发生相变时的C值低于前两种情况。