Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Mol Cell. 2012 Sep 14;47(5):810-22. doi: 10.1016/j.molcel.2012.07.030. Epub 2012 Aug 30.
Understanding the principles governing mammalian gene regulation has been hampered by the difficulty in measuring in vivo binding dynamics of large numbers of transcription factors (TF) to DNA. Here, we develop a high-throughput Chromatin ImmunoPrecipitation (HT-ChIP) method to systematically map protein-DNA interactions. HT-ChIP was applied to define the dynamics of DNA binding by 25 TFs and 4 chromatin marks at 4 time-points following pathogen stimulus of dendritic cells. Analyzing over 180,000 TF-DNA interactions we find that TFs vary substantially in their temporal binding landscapes. This data suggests a model for transcription regulation whereby TF networks are hierarchically organized into cell differentiation factors, factors that bind targets prior to stimulus to prime them for induction, and factors that regulate specific gene programs. Overlaying HT-ChIP data on gene-expression dynamics shows that many TF-DNA interactions are established prior to the stimuli, predominantly at immediate-early genes, and identified specific TF ensembles that coordinately regulate gene-induction.
哺乳动物基因调控的原理一直难以理解,主要是因为难以测量大量转录因子(TF)与 DNA 的体内结合动态。在这里,我们开发了一种高通量染色质免疫沉淀(HT-ChIP)方法来系统地绘制蛋白质-DNA 相互作用图谱。HT-ChIP 用于定义 25 个 TF 和 4 个染色质标记在树突状细胞受到病原体刺激后的 4 个时间点时的 DNA 结合动力学。分析超过 180000 个 TF-DNA 相互作用,我们发现 TF 在时间结合景观上有很大的差异。该数据表明转录调控的模型,其中 TF 网络被分层组织为细胞分化因子、在刺激之前结合靶标以启动诱导的因子以及调节特定基因程序的因子。将 HT-ChIP 数据叠加在基因表达动力学上表明,许多 TF-DNA 相互作用是在刺激之前建立的,主要是在即时早期基因上,并确定了协同调节基因诱导的特定 TF 组合。