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动物转录网络作为高度连接的定量连续体。

Animal transcription networks as highly connected, quantitative continua.

机构信息

Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road MS 84-171, Berkeley, CA 94720, USA.

出版信息

Dev Cell. 2011 Oct 18;21(4):611-26. doi: 10.1016/j.devcel.2011.09.008.

DOI:10.1016/j.devcel.2011.09.008
PMID:22014521
Abstract

To understand how transcription factors function, it is essential to determine the range of genes that they each bind and regulate in vivo. Here I review evidence that most animal transcription factors each bind to a majority of genes over a quantitative series of DNA occupancy levels. These continua span functional, quasifunctional, and nonfunctional DNA binding events. Factor regulatory specificities are distinguished by quantitative differences in DNA occupancy patterns. I contrast these results with models for transcription networks that define discrete sets of direct target and nontarget genes and consequently do not fully capture the complexity observed in vivo.

摘要

为了理解转录因子的功能,确定它们在体内结合和调控的基因范围是至关重要的。在这里,我回顾了证据,证明大多数动物转录因子在定量的 DNA 占有率系列中都结合了大多数基因。这些连续谱跨越了功能、准功能和非功能的 DNA 结合事件。因子调节特异性通过 DNA 占有率模式的定量差异来区分。我将这些结果与转录网络模型进行了对比,后者定义了直接靶基因和非靶基因的离散集合,因此不能完全捕捉到体内观察到的复杂性。

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