Promoters maintain their relative activity levels under different growth conditions.
Promoters maintain their relative activity levels under different growth conditions.
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DOI：
10.1038/msb.2013.59
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发表时间：
2013-10-29
影响因子：
9.9
通讯作者：
Segal, Eran
中科院分区：
文献类型：
--
作者：
Keren, Leeat;Zackay, Ora;Lotan-Pompan, Maya;Barenholz, Uri;Dekel, Erez;Sasson, Vered;Aidelberg, Guy;Bren, Anat;Zeevi, Danny;Weinberger, Adina;Alon, Uri;Milo, Ron;Segal, Eran
大多数基因在不同条件下会改变表达水平，但目前还不清楚这些变化中的哪一个代表了特定的调节，以及是什么决定了它们的定量程度。在这里，我们准确地测量了P1900 S的活性。cerevisiae和E.1800 E.大肠杆菌启动子，使用荧光报告。我们发现，在这两种生物体中，60-90%的启动子通过恒定的全局缩放因子改变其在条件之间的表达，该因子仅取决于条件而不取决于启动子的身份。量化这样的全球影响，可以精确表征特定的调节启动子偏离全球尺度线。这些被组织成几个功能相关的组，这些组也遵循比例线，并在各种条件下保持其相对活动。因此，只有几个比例因子足以准确地描述跨条件的全基因组表达谱。我们提出了一个无参数的被动资源分配模型，定量占全球的比例因子。它表明，许多表达的变化，跨条件的结果，从全球的影响，而不是具体的调控，并提供了定量解释的表达谱的手段。
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 ∼900 S. cerevisiae and ∼1800 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 regulation—promoters 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.
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