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竞争性转录因子模块的转录调控

Transcriptional regulation by competing transcription factor modules.

作者信息

Hermsen Rutger, Tans Sander, ten Wolde Pieter Rein

机构信息

FOM Institute for Atomic and Molecular Physics, Amsterdam, The Netherlands.

出版信息

PLoS Comput Biol. 2006 Dec 1;2(12):e164. doi: 10.1371/journal.pcbi.0020164. Epub 2006 Oct 23.

Abstract

Gene regulatory networks lie at the heart of cellular computation. In these networks, intracellular and extracellular signals are integrated by transcription factors, which control the expression of transcription units by binding to cis-regulatory regions on the DNA. The designs of both eukaryotic and prokaryotic cis-regulatory regions are usually highly complex. They frequently consist of both repetitive and overlapping transcription factor binding sites. To unravel the design principles of these promoter architectures, we have designed in silico prokaryotic transcriptional logic gates with predefined input-output relations using an evolutionary algorithm. The resulting cis-regulatory designs are often composed of modules that consist of tandem arrays of binding sites to which the transcription factors bind cooperatively. Moreover, these modules often overlap with each other, leading to competition between them. Our analysis thus identifies a new signal integration motif that is based upon the interplay between intramodular cooperativity and intermodular competition. We show that this signal integration mechanism drastically enhances the capacity of cis-regulatory domains to integrate signals. Our results provide a possible explanation for the complexity of promoter architectures and could be used for the rational design of synthetic gene circuits.

摘要

基因调控网络是细胞计算的核心。在这些网络中,细胞内和细胞外信号由转录因子整合,转录因子通过与DNA上的顺式调控区域结合来控制转录单元的表达。真核生物和原核生物顺式调控区域的设计通常都高度复杂。它们常常由重复且重叠的转录因子结合位点组成。为了揭示这些启动子结构的设计原则,我们使用进化算法设计了具有预定义输入 - 输出关系的计算机模拟原核生物转录逻辑门。所得的顺式调控设计通常由模块组成,这些模块由转录因子协同结合的串联排列的结合位点构成。此外,这些模块常常相互重叠,导致它们之间存在竞争。因此,我们的分析确定了一种基于模块内协同作用和模块间竞争相互作用的新信号整合基序。我们表明,这种信号整合机制极大地增强了顺式调控域整合信号的能力。我们的结果为启动子结构的复杂性提供了一种可能的解释,并可用于合成基因电路的合理设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca83/1764043/0472ed8b62c8/pcbi.0020164.g001.jpg

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