Animal Transcription Networks as Highly Connected, Quantitative Continua
Animal Transcription Networks as Highly Connected, Quantitative Continua
复制标题
DOI：
10.1016/j.devcel.2011.09.008
复制
发表时间：
2011-10-18
影响因子：
11.8
通讯作者：
Biggin, Mark D.
中科院分区：
文献类型：
--
作者：
Biggin, Mark D.
要了解转录因子是如何发挥作用的，关键是要确定它们各自在体内结合和调节的基因范围。在这里，我回顾了大多数动物转录因子在一系列定量的DNA占有率水平上与大多数基因结合的证据。这些连续体跨越功能性、准功能性和非功能性DNA结合事件。因子调控的特异性通过DNA占位模式的数量差异来区分。我将这些结果与转录网络模型进行了对比，这些模型定义了直接靶基因和非靶基因的离散集合，因此没有完全捕捉到体内观察到的复杂性。
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.