Departments of Chemistry and Physics and Astronomy, and Center for Theoretical Biological Physics, Rice University, Houston, TX 77005.
Proc Natl Acad Sci U S A. 2014 Feb 11;111(6):2391-6. doi: 10.1073/pnas.1323433111. Epub 2014 Jan 27.
The digital nature of genes combined with the associated low copy numbers of proteins regulating them is a significant source of stochasticity, which affects the phase of biochemical oscillations. We show that unlike ordinary chemical oscillators, the dichotomic molecular noise of gene state switching in gene oscillators affects the stochastic dephasing in a way that may not always be captured by phenomenological limit cycle-based models. Through simulations of a realistic model of the NFκB/IκB network, we also illustrate the dephasing phenomena that are important for reconciling single-cell and population-based experiments on gene oscillators.
基因的数字性质加上调节它们的蛋白质的低拷贝数是随机的重要来源，这会影响生化振荡的相位。我们表明，与普通的化学振荡器不同，基因振荡器中基因状态转换的二分分子噪声以一种可能并不总是被基于现象学极限环的模型所捕捉到的方式影响随机去相位。通过对 NFκB/IκB 网络的现实模型的模拟，我们还说明了对于协调基因振荡器的单细胞和基于群体的实验很重要的去相位现象。
