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本文引用的文献

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Non-equilibrium repressor binding kinetics link DNA damage dose to transcriptional timing within the SOS gene network.非平衡抑制物结合动力学将 DNA 损伤剂量与 SOS 基因网络内的转录时间联系起来。
PLoS Genet. 2018 Jun 1;14(6):e1007405. doi: 10.1371/journal.pgen.1007405. eCollection 2018 Jun.
2
Transcription factor network efficiency in the regulation of Candida albicans biofilms: it is a small world.转录因子网络在调控白色念珠菌生物膜中的效率:这是一个小世界。
Curr Genet. 2018 Aug;64(4):883-888. doi: 10.1007/s00294-018-0804-1. Epub 2018 Jan 9.
3
Chromosomal organization of transcription: in a nutshell.转录的染色体组织:简而言之。
Curr Genet. 2018 Jun;64(3):555-565. doi: 10.1007/s00294-017-0785-5. Epub 2017 Nov 28.
4
Transcription termination factor Rho and microbial phenotypic heterogeneity.转录终止因子Rho与微生物表型异质性
Curr Genet. 2018 Jun;64(3):541-546. doi: 10.1007/s00294-017-0775-7. Epub 2017 Nov 1.
5
Targets for Combating the Evolution of Acquired Antibiotic Resistance.对抗获得性抗生素耐药性演变的靶点
Biochemistry. 2015 Jun 16;54(23):3573-82. doi: 10.1021/acs.biochem.5b00109. Epub 2015 Jun 5.
6
Using gene expression noise to understand gene regulation.利用基因表达噪声理解基因调控。
Science. 2012 Apr 13;336(6078):183-7. doi: 10.1126/science.1216379.
7
Interconversion between bound and free conformations of LexA orchestrates the bacterial SOS response.LexA 结合态和游离态构象的相互转换调控了细菌 SOS 反应。
Nucleic Acids Res. 2011 Aug;39(15):6546-57. doi: 10.1093/nar/gkr265. Epub 2011 May 16.
8
A tale of two repressors.两个抑制剂的故事。
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9
Inhibition of mutation and combating the evolution of antibiotic resistance.抑制突变并对抗抗生素耐药性的演变。
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Just-in-time transcription program in metabolic pathways.代谢途径中的即时转录程序。
Nat Genet. 2004 May;36(5):486-91. doi: 10.1038/ng1348. Epub 2004 Apr 25.

通过减缓转录因子结合动力学来调控基因表达。

Ordering up gene expression by slowing down transcription factor binding kinetics.

作者信息

Culyba Matthew J

机构信息

Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, 857 Scaife Hall, 3550 Terrace Street, Pittsburgh, PA, 15261, USA.

出版信息

Curr Genet. 2019 Apr;65(2):401-406. doi: 10.1007/s00294-018-0896-7. Epub 2018 Oct 23.

DOI:10.1007/s00294-018-0896-7
PMID:30353359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6421095/
Abstract

Efficient regulation of a complex genetic response requires that the gene products, which catalyze the response, be synthesized in a temporally ordered manner to match the sequential nature of the reaction pathway they act upon. Transcription regulation networks coordinate this aspect of cellular control by modulating transcription factor (TF) concentrations through time. The effect a TF has on the timing of gene expression is often modeled assuming that the TF-promoter binding reaction is in thermodynamic equilibrium with changes in TF concentration over time; however, non-equilibrium dynamics resulting from relatively slow TF-binding kinetics can result in different network behavior. Here, I highlight a recent study of the bacterial SOS response, where a single TF regulates multiple target promoters, to show how a disequilibrium of TF binding at promoters results in a more complex behavior, enabling a larger temporal separation of promoter activities that depends not only upon slow TF binding kinetics at promoters, but also on the magnitude of the response stimulus. I also discuss the dependence of network behavior on specific TF regulatory mechanisms and the implications non-equilibrium dynamics have for stochastic gene expression.

摘要

对复杂基因反应的有效调控要求催化该反应的基因产物以时间有序的方式合成,以匹配它们所作用的反应途径的顺序性质。转录调控网络通过随时间调节转录因子(TF)浓度来协调细胞控制的这一方面。TF对基因表达时间的影响通常在假设TF-启动子结合反应与TF浓度随时间的变化处于热力学平衡的情况下进行建模;然而,由相对缓慢的TF结合动力学导致的非平衡动力学可能会导致不同的网络行为。在这里,我重点介绍了一项关于细菌SOS反应的最新研究,其中单个TF调节多个靶启动子,以展示启动子处TF结合的不平衡如何导致更复杂的行为,从而实现启动子活性更大的时间分离,这不仅取决于启动子处缓慢的TF结合动力学,还取决于反应刺激的强度。我还讨论了网络行为对特定TF调控机制的依赖性以及非平衡动力学对随机基因表达的影响。