Promoters maintain their relative activity levels under different growth conditions

被引:158
作者
Keren, Leeat [1 ,2 ,3 ]
Zackay, Ora [1 ,2 ]
Lotan-Pompan, Maya [1 ,2 ]
Barenholz, Uri [3 ]
Dekel, Erez [2 ]
Sasson, Vered [2 ]
Aidelberg, Guy [2 ]
Bren, Anat [2 ]
Zeevi, Danny [1 ,2 ]
Weinberger, Adina [1 ,2 ]
Alon, Uri [2 ]
Milo, Ron [3 ]
Segal, Eran [1 ,2 ]
机构
[1] Weizmann Inst Sci, Dept Comp Sci & Appl Math, IL-76100 Rehovot, Israel
[2] Weizmann Inst Sci, Dept Mol Cell Biol, IL-76100 Rehovot, Israel
[3] Weizmann Inst Sci, Dept Plant Sci, IL-76100 Rehovot, Israel
基金
美国国家卫生研究院; 欧洲研究理事会;
关键词
gene expression; growth rate; modeling; promoter activity; transcription regulation; GENE-EXPRESSION; SACCHAROMYCES-CEREVISIAE; TRANSCRIPTIONAL REGULATION; REGULATED GENES; CELL-CYCLE; PROTEIN; RESPONSES; STRESS; CARBON; METABOLISM;
D O I
10.1038/msb.2013.59
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Most genes change expression levels across conditions, but it is unclear which of these changes represents specific regulation and what determines their quantitative degree. Here, we accurately measured activities of B900 S. cerevisiae and B1800 E. coli promoters using fluorescent reporters. We show that in both organisms 60-90% of promoters change their expression between conditions by a constant global scaling factor that depends only on the conditions and not on the promoter's identity. Quantifying such global effects allows precise characterization of specific regulationpromoters deviating from the global scale line. These are organized into few functionally related groups that also adhere to scale lines and preserve their relative activities across conditions. Thus, only several scaling factors suffice to accurately describe genome-wide expression profiles across conditions. We present a parameter-free passive resource allocation model that quantitatively accounts for the global scaling factors. It suggests that many changes in expression across conditions result from global effects and not specific regulation, and provides means for quantitative interpretation of expression profiles.
引用
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页数:17
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