MacNeil Lesley T, Pons Carles, Arda H Efsun, Giese Gabrielle E, Myers Chad L, Walhout Albertha J M
Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA ; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Department of Computer Science and Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.
Cell Syst. 2015 Aug 26;1(2):152-162. doi: 10.1016/j.cels.2015.08.003.
A wealth of physical interaction data between transcription factors (TFs) and DNA has been generated, but these interactions often do not have apparent regulatory consequences. Thus, equating physical interaction data with gene regulatory networks (GRNs) is problematic. Here, we comprehensively assay TF activity, rather than binding, to construct a network of gene regulatory interactions in the intestine. By manually observing the tissue-specific knockdown of 921 TFs on a panel of 19 fluorescent transcriptional reporters, we identified a GRN of 411 interactions between 19 promoters and 177 TFs. This GRN shows only modest overlap with physical interactions, indicating that many regulatory interactions are indirect. We applied nested effects modeling to uncover information flow between TFs in the intestine that converges on a small set of physical TF-promoter interactions. We found numerous cell nonautonomous regulatory interactions, illustrating tissue-to-tissue communication. Altogether, our study illuminates the complexity of gene regulation in the context of a living animal.
已经产生了大量转录因子(TFs)与DNA之间的物理相互作用数据,但这些相互作用往往没有明显的调控后果。因此,将物理相互作用数据等同于基因调控网络(GRNs)是有问题的。在这里,我们全面检测TF活性,而非结合情况,以构建肠道中的基因调控相互作用网络。通过手动观察921个TFs在19个荧光转录报告基因面板上的组织特异性敲低情况,我们确定了一个由19个启动子和177个TFs之间的411个相互作用组成的GRN。这个GRN与物理相互作用的重叠程度仅为中等,表明许多调控相互作用是间接的。我们应用嵌套效应模型来揭示肠道中TFs之间汇聚于一小部分物理TF-启动子相互作用的信息流。我们发现了许多细胞非自主调控相互作用,说明了组织间的通讯。总之,我们的研究揭示了活体动物背景下基因调控的复杂性。