Suppr超能文献

转录调控中的前馈环基序:诱导与抑制。

A feedforward loop motif in transcriptional regulation: induction and repression.

作者信息

Hayot F, Jayaprakash C

机构信息

Department of Physics, The Ohio State University, Columbus, OH 43210-1106, USA.

出版信息

J Theor Biol. 2005 May 7;234(1):133-43. doi: 10.1016/j.jtbi.2004.11.010. Epub 2005 Jan 20.

Abstract

We study the dynamical behavior of a unit of three positive transcriptional regulators which occurs frequently in biological networks of yeast and bacteria as a feedforward loop. We investigate numerically a set of reactions incorporating the basic features of transcription and translation. We determine (i) how the feedforward loop motif functions as a computational element such as an AND gate in the presence of stochastic fluctuations, and (ii) the robustness of the motif when transcription at the primary level is suddenly repressed. We highlight the effective time-scales which underlie both of these aspects of the feedforward loop motif. We show how threshold behavior of the motif output arises as a function of the number of external inducers as well as the time over which the inducer acts. We discuss how individual cell behavior can deviate significantly from average behavior, due to intrinsic fluctuations in the small number of molecules present in a cell.

摘要

我们研究了由三个正转录调节因子组成的单元的动力学行为,该单元作为前馈环频繁出现在酵母和细菌的生物网络中。我们通过数值研究了一组包含转录和翻译基本特征的反应。我们确定:(i)在前馈环存在随机波动的情况下,前馈环基序如何作为一个计算元件(如与门)发挥作用;(ii)当初级水平的转录突然受到抑制时,该基序的稳健性。我们强调了前馈环基序这两个方面所基于的有效时间尺度。我们展示了基序输出的阈值行为如何作为外部诱导物数量以及诱导物作用时间的函数而出现。我们讨论了由于细胞中存在的少量分子的内在波动,单个细胞行为如何可能与平均行为有显著偏差。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验