Hooshangi Sara, Weiss Ron
Department of Electrical Engineering, Princeton University, Princeton, New Jersey 08544, USA.
Chaos. 2006 Jun;16(2):026108. doi: 10.1063/1.2208927.
This paper analyzes how the delay and repression strength of negative feedback in single-gene and multigene transcriptional networks influences intrinsic noise propagation and oscillatory behavior. We simulate a variety of transcriptional networks using a stochastic model and report two main findings. First, intrinsic noise is not attenuated by the addition of negative or positive feedback to transcriptional cascades. Second, for multigene negative feedback networks, synchrony in oscillations among a cell population can be improved by increasing network depth and tightening the regulation at one of the repression stages. Our long term goal is to understand how the noise characteristics of complex networks can be derived from the properties of modules that are used to compose these networks.
本文分析了单基因和多基因转录网络中负反馈的延迟和抑制强度如何影响内在噪声传播和振荡行为。我们使用随机模型模拟了各种转录网络，并报告了两个主要发现。第一，向转录级联中添加负反馈或正反馈不会减弱内在噪声。第二，对于多基因负反馈网络，通过增加网络深度并在其中一个抑制阶段加强调控，可以提高细胞群体振荡的同步性。我们的长期目标是了解复杂网络的噪声特征如何从用于构建这些网络的模块特性中推导出来。
