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本文引用的文献

1
Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells.在单细胞中实现单分子灵敏度定量大肠杆菌的蛋白质组和转录组。
Science. 2010 Jul 30;329(5991):533-8. doi: 10.1126/science.1188308.
2
Noise can induce bimodality in positive transcriptional feedback loops without bistability.噪声可以在没有双稳态的情况下诱导正转录反馈回路中的双峰性。
Science. 2010 Feb 26;327(5969):1142-5. doi: 10.1126/science.1178962.
3
Stochastic bimodalities in deterministically monostable reversible chemical networks due to network topology reduction.由于网络拓扑结构的简化,确定性单稳态可逆化学网络中出现随机双峰现象。
J Chem Phys. 2009 Nov 21;131(19):195103. doi: 10.1063/1.3264948.
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Experimental evolution of bet hedging.风险对冲的实验性进化
Nature. 2009 Nov 5;462(7269):90-3. doi: 10.1038/nature08504.
5
Non-genetic cell-to-cell variability and the consequences for pharmacology.非遗传的细胞间变异性及其对药理学的影响。
Curr Opin Chem Biol. 2009 Dec;13(5-6):556-61. doi: 10.1016/j.cbpa.2009.09.015. Epub 2009 Oct 14.
6
The smallest chemical reaction system with bistability.具有双稳态的最小化学反应系统。
BMC Syst Biol. 2009 Sep 8;3:90. doi: 10.1186/1752-0509-3-90.
7
Stochastic bifurcation, slow fluctuations, and bistability as an origin of biochemical complexity.随机分岔、缓慢波动以及双稳性作为生化复杂性的起源。
Phys Chem Chem Phys. 2009 Jun 28;11(24):4861-70. doi: 10.1039/b900335p. Epub 2009 Apr 8.
8
Stochasticity of gene products from transcriptional pulsing.转录脉冲产生的基因产物的随机性。
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Mar;79(3 Pt 1):031911. doi: 10.1103/PhysRevE.79.031911. Epub 2009 Mar 23.
9
A stochastic spectral analysis of transcriptional regulatory cascades.转录调控级联的随机频谱分析。
Proc Natl Acad Sci U S A. 2009 Apr 21;106(16):6529-34. doi: 10.1073/pnas.0811999106. Epub 2009 Apr 7.
10
Negative autoregulation linearizes the dose-response and suppresses the heterogeneity of gene expression.负向自调控使剂量反应呈线性,并抑制基因表达的异质性。
Proc Natl Acad Sci U S A. 2009 Mar 31;106(13):5123-8. doi: 10.1073/pnas.0809901106. Epub 2009 Mar 11.

非合作调控系统中的双模态基因表达。

Bimodal gene expression in noncooperative regulatory systems.

机构信息

Institute of Physical Chemistry, Polish Academy of Sciences, 01-224 Warsaw, Poland.

出版信息

Proc Natl Acad Sci U S A. 2010 Dec 21;107(51):22096-101. doi: 10.1073/pnas.1008965107. Epub 2010 Dec 6.

DOI:10.1073/pnas.1008965107
PMID:21135209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3009792/
Abstract

Bimodality of gene expression, as a mechanism contributing to phenotypic diversity, enhances the survival of cells in a fluctuating environment. To date, the bimodal response of a gene regulatory system has been attributed to the cooperativity of transcription factor binding or to feedback loops. It has remained unclear whether noncooperative binding of transcription factors can give rise to bimodality in an open-loop system. We study a theoretical model of gene expression in a two-step cascade (a deterministically monostable system) in which the regulatory gene produces transcription factors that have a nonlinear effect on the activity of the target gene. We show that a unimodal distribution of transcription factors over the cell population can generate a bimodal steady-state output without cooperative transcription factor binding. We introduce a simple method of geometric construction that allows one to predict the onset of bimodality. The construction only involves the parameters of bursting of the regulatory gene and the dose-response curve of the target gene. Using this method, we show that the gene expression may switch between unimodal and bimodal as the concentration of inducers or corepressors is varied. These findings may explain the experimentally observed bimodal response of cascades consisting of a fluorescent protein reporter controlled by the tetracycline repressor. The geometric construction provides a useful tool for designing experiments and for interpretation of their results. Our findings may have important implications for understanding the strategies adopted by cell populations to survive in changing environments.

摘要

基因表达的双峰性作为一种有助于表型多样性的机制,增强了细胞在波动环境中的生存能力。迄今为止,基因调控系统的双峰反应归因于转录因子结合的协同作用或反馈回路。尚未清楚非协同性转录因子结合是否能在开环系统中产生双峰性。我们研究了一个两步级联(确定性单稳系统)中基因表达的理论模型,其中调节基因产生转录因子,这些转录因子对靶基因的活性产生非线性影响。我们表明,在没有协同转录因子结合的情况下,细胞群体中转录因子的单峰分布可以产生双峰稳态输出。我们引入了一种简单的几何构造方法,该方法可以预测双峰性的出现。该构造仅涉及调节基因的爆发和靶基因的剂量反应曲线的参数。使用这种方法,我们表明,随着诱导物或核心抑制剂浓度的变化,基因表达可能在单峰和双峰之间切换。这些发现可能解释了由 tetracycline repressor 控制的荧光蛋白报告基因组成的级联实验观察到的双峰反应。几何构造为设计实验和解释其结果提供了有用的工具。我们的发现可能对理解细胞群体在变化环境中生存所采用的策略具有重要意义。