Department of Chemistry and Center for Theoretical Biological Physics, Rice University, Houston, Texas 77005, USA.
Phys Rev E. 2017 Nov;96(5-1):052305. doi: 10.1103/PhysRevE.96.052305. Epub 2017 Nov 3.
The complex genetic programs of eukaryotic cells are often regulated by key transcription factors occupying or clearing out of a large number of genomic locations. Orchestrating the residence times of these factors is therefore important for the well organized functioning of a large network. The classic models of genetic switches sidestep this timing issue by assuming the binding of transcription factors to be governed entirely by thermodynamic protein-DNA affinities. Here we show that relying on passive thermodynamics and random release times can lead to a "time-scale crisis" for master genes that broadcast their signals to a large number of binding sites. We demonstrate that this time-scale crisis for clearance in a large broadcasting network can be resolved by actively regulating residence times through molecular stripping. We illustrate these ideas by studying a model of the stochastic dynamics of the genetic network of the central eukaryotic master regulator NFκB which broadcasts its signals to many downstream genes that regulate immune response, apoptosis, etc.
真核细胞的复杂遗传程序通常受到关键转录因子的调控,这些转录因子占据或清除大量基因组位置。因此,协调这些因子的停留时间对于大型网络的有序运作非常重要。遗传开关的经典模型回避了这个时间问题,假设转录因子的结合完全由热力学蛋白-DNA 亲和力决定。在这里,我们表明,仅依靠被动热力学和随机释放时间可能会导致主基因出现“时间尺度危机”,这些主基因将信号广播到大量结合位点。我们证明,通过主动调节停留时间来清除大型广播网络中的这种时间尺度危机,可以通过分子剥离来解决。我们通过研究中央真核主调控因子 NFκB 的遗传网络的随机动力学模型来说明这些想法,该模型将其信号广播到许多调节免疫反应、细胞凋亡等的下游基因。