BioModeling, BioInformatics and BioProcesses Department, Université Libre de Bruxelles, Bruxelles, Belgium.
PLoS One. 2012;7(11):e47256. doi: 10.1371/journal.pone.0047256. Epub 2012 Nov 7.
Turning genes on and off is a mechanism by which cells and tissues make phenotypic decisions. Gene network motifs capable of supporting two or more steady states and thereby providing cells with a plurality of possible phenotypes are referred to as genetic switches. Modeled on the bases of naturally occurring genetic networks, synthetic biologists have successfully constructed artificial switches, thus opening a door to new possibilities for improvement of the known, but also the design of new synthetic genetic circuits. One of many obstacles to overcome in such efforts is to understand and hence control intrinsic noise which is inherent in all biological systems. For some motifs the noise is negligible; for others, fluctuations in the particle number can be comparable to its average. Due to their slowed dynamics, motifs with positive autoregulation tend to be highly sensitive to fluctuations of their chemical environment and are in general very noisy, especially during transition (switching). In this article we use stochastic simulations (Gillespie algorithm) to model such a system, in particular a simple bistable motif consisting of a single gene with positive autoregulation. Due to cooperativety, the dynamical behavior of this kind of motif is reminiscent of an alarm clock - the gene is (nearly) silent for some time after it is turned on and becomes active very suddenly. We investigate how these sudden transitions are affected by noise and show that under certain conditions accurate timing can be achieved. We also examine how promoter complexity influences the accuracy of this timing mechanism.
基因的开启和关闭是细胞和组织做出表型决定的一种机制。能够支持两种或更多稳定状态的基因网络基元,并为细胞提供多种可能表型的基因网络基元被称为遗传开关。合成生物学家以天然存在的遗传网络为基础,成功构建了人工开关,从而为改进已知的遗传电路以及设计新的合成遗传电路开辟了新的可能性。在这些努力中,克服的众多障碍之一是理解并因此控制内在噪声,内在噪声是所有生物系统固有的。对于某些基元,噪声可以忽略不计;对于其他基元,粒子数的波动可以与其平均值相媲美。由于其动力学较慢,具有正反馈调节的基元往往对其化学环境的波动非常敏感,并且通常非常嘈杂,特别是在转换(开关)期间。在本文中,我们使用随机模拟(吉里斯皮算法)来模拟这样一个系统,特别是由正反馈调节的单个基因组成的简单双稳态基元。由于协同作用,这种基元的动力学行为类似于闹钟-基因在开启后一段时间内(几乎)保持沉默,然后突然变得活跃。我们研究了这些突然的转变如何受到噪声的影响,并表明在某些条件下可以实现精确的定时。我们还研究了启动子复杂性如何影响这种定时机制的准确性。