• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

酿酒酵母中转录因子浓度与结合位点亲和力的关系

Transcription factor concentrations versus binding site affinities in the yeast S. cerevisiae.

作者信息

Aurell Erik, d'Hérouël Aymeric Fouquier, Malmnäs Claes, Vergassola Massimo

机构信息

Department of Computational Biology, KTH-Royal Institute of Technology, AlbaNova University Center, Stockholm, Sweden.

出版信息

Phys Biol. 2007 Jun 22;4(2):134-43. doi: 10.1088/1478-3975/4/2/006.

DOI:10.1088/1478-3975/4/2/006
PMID:17664657
Abstract

Transcription regulation is largely governed by the profile and the dynamics of transcription factors' binding to DNA. Stochastic effects are intrinsic to this dynamics, and the binding to functional sites must be controlled with a certain specificity for living organisms to be able to elicit specific cellular responses. Specificity stems here from the interplay between binding affinity and cellular abundance of transcription factor proteins, and the binding of such proteins to DNA is thus controlled by their chemical potential. We combine large-scale protein abundance data in the budding yeast with binding affinities for all transcription factors with known DNA binding site sequences to assess the behavior of their chemical potentials in an exponential growth phase. A sizable fraction of transcription factors is apparently bound non-specifically to DNA, and the observed abundances are marginally sufficient to ensure high occupations of the functional sites. We argue that a biological cause of this feature is related to its noise-filtering consequences: abundances below physiological levels do not yield significant binding of functional targets and mis-expressions of regulated genes may thus be tamed.

摘要

转录调控在很大程度上受转录因子与DNA结合的概况及动力学的支配。随机效应是这种动力学所固有的,并且对于生物体能够引发特定的细胞反应而言,与功能位点的结合必须以一定的特异性进行控制。特异性源于转录因子蛋白的结合亲和力与细胞丰度之间的相互作用,因此这类蛋白与DNA的结合受其化学势的控制。我们将芽殖酵母中的大规模蛋白质丰度数据与所有具有已知DNA结合位点序列的转录因子的结合亲和力相结合,以评估它们在指数生长期的化学势行为。相当一部分转录因子显然非特异性地与DNA结合,并且观察到的丰度仅勉强足以确保功能位点的高占有率。我们认为这一特征的生物学原因与其噪声过滤结果有关:低于生理水平的丰度不会导致功能靶点的显著结合,因此可能会抑制受调控基因的错误表达。

相似文献

1
Transcription factor concentrations versus binding site affinities in the yeast S. cerevisiae.酿酒酵母中转录因子浓度与结合位点亲和力的关系
Phys Biol. 2007 Jun 22;4(2):134-43. doi: 10.1088/1478-3975/4/2/006.
2
Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF.酵母细胞周期转录因子SBF和MBF的基因组结合位点
Nature. 2001 Jan 25;409(6819):533-8. doi: 10.1038/35054095.
3
Divergence of transcription factor binding sites across related yeast species.相关酵母物种间转录因子结合位点的差异
Science. 2007 Aug 10;317(5839):815-9. doi: 10.1126/science.1140748.
4
Predicting transcription factor affinities to DNA from a biophysical model.从生物物理模型预测转录因子与DNA的亲和力。
Bioinformatics. 2007 Jan 15;23(2):134-41. doi: 10.1093/bioinformatics/btl565. Epub 2006 Nov 10.
5
Modeling transcription factor binding events to DNA using a random walker/jumper representation on a 1D/2D lattice with different affinity sites.使用具有不同亲和力位点的一维/二维晶格上的随机游走者/跳跃者表示法对转录因子与DNA的结合事件进行建模。
Phys Biol. 2007 Nov 21;4(4):256-67. doi: 10.1088/1478-3975/4/4/003.
6
Distribution of transcription factor binding sites in the yeast genome suggests abundance of coordinately regulated genes.
Genomics. 1998 Jun 1;50(2):293-5. doi: 10.1006/geno.1998.5303.
7
Statistical methods to infer cooperative binding among transcription factors in Saccharomyces cerevisiae.推断酿酒酵母中转录因子之间协同结合的统计方法。
Bioinformatics. 2008 Feb 15;24(4):545-52. doi: 10.1093/bioinformatics/btm523. Epub 2007 Nov 7.
8
Statistical methods in integrative analysis for gene regulatory modules.基因调控模块综合分析中的统计方法
Stat Appl Genet Mol Biol. 2008;7(1):Article 28. doi: 10.2202/1544-6115.1369. Epub 2008 Oct 10.
9
A new framework for identifying combinatorial regulation of transcription factors: a case study of the yeast cell cycle.一种用于识别转录因子组合调控的新框架:以酵母细胞周期为例的研究。
J Biomed Inform. 2007 Dec;40(6):707-25. doi: 10.1016/j.jbi.2007.02.003. Epub 2007 Mar 3.
10
Superstability of the yeast cell-cycle dynamics: ensuring causality in the presence of biochemical stochasticity.酵母细胞周期动力学的超稳定性:在生化随机性存在的情况下确保因果关系。
J Theor Biol. 2007 Apr 21;245(4):638-43. doi: 10.1016/j.jtbi.2006.11.012. Epub 2006 Nov 21.

引用本文的文献

1
Diffusion of DNA-Binding Species in the Nucleus: A Transient Anomalous Subdiffusion Model.DNA 结合物种在核内的扩散:一种瞬态异常亚扩散模型。
Biophys J. 2020 May 5;118(9):2151-2167. doi: 10.1016/j.bpj.2020.03.015. Epub 2020 Apr 4.
2
BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors.贝叶斯 PI——一种研究蛋白质-DNA 相互作用的新模型:以酵母转录因子的条件特异性蛋白质结合参数为例。
BMC Bioinformatics. 2009 Oct 20;10:345. doi: 10.1186/1471-2105-10-345.
3
The role of DNA-binding specificity in the evolution of bacterial regulatory networks.
DNA结合特异性在细菌调控网络进化中的作用。
J Mol Biol. 2008 Jun 6;379(3):627-43. doi: 10.1016/j.jmb.2008.04.008. Epub 2008 Apr 9.