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对单个细胞中的基因调控进行测量揭示了启动子状态之间的快速切换。

Measurement of gene regulation in individual cells reveals rapid switching between promoter states.

作者信息

Sepúlveda Leonardo A, Xu Heng, Zhang Jing, Wang Mengyu, Golding Ido

机构信息

Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA. Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA.

Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA. Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA. Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA.

出版信息

Science. 2016 Mar 11;351(6278):1218-22. doi: 10.1126/science.aad0635. Epub 2016 Mar 10.

Abstract

In vivo mapping of transcription-factor binding to the transcriptional output of the regulated gene is hindered by probabilistic promoter occupancy, the presence of multiple gene copies, and cell-to-cell variability. We demonstrate how to overcome these obstacles in the lysogeny maintenance promoter of bacteriophage lambda, P(RM). We simultaneously measured the concentration of the lambda repressor CI and the number of messenger RNAs (mRNAs) from P(RM) in individual Escherichia coli cells, and used a theoretical model to identify the stochastic activity corresponding to different CI binding configurations. We found that switching between promoter configurations is faster than mRNA lifetime and that individual gene copies within the same cell act independently. The simultaneous quantification of transcription factor and promoter activity, followed by stochastic theoretical analysis, provides a tool that can be applied to other genetic circuits.

摘要

转录因子与受调控基因转录输出的结合在体内的图谱绘制受到概率性启动子占据、多个基因拷贝的存在以及细胞间变异性的阻碍。我们展示了如何在噬菌体λ的溶原维持启动子P(RM)中克服这些障碍。我们同时测量了单个大肠杆菌细胞中λ阻遏物CI的浓度和来自P(RM)的信使RNA(mRNA)的数量,并使用理论模型来识别对应于不同CI结合构型的随机活性。我们发现启动子构型之间的切换比mRNA寿命更快,并且同一细胞内的各个基因拷贝独立起作用。转录因子和启动子活性的同时定量,随后进行随机理论分析,提供了一种可应用于其他遗传回路的工具。

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