Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
PLoS Comput Biol. 2018 Sep 6;14(9):e1006416. doi: 10.1371/journal.pcbi.1006416. eCollection 2018 Sep.
Combinatorial effects of epigenetic modifications on transcription activity have been proposed as "histone codes". However, it is unclear whether there also exist inter-nucleosomal communications among epigenetic modifications at single nucleosome level, and if so, what functional roles they play. Meanwhile, how clear nucleosome patterns, such as nucleosome phasing and depletion, are formed at functional regions remains an intriguing enigma. To address these questions, we developed a Bayesian network model for interactions among different histone modifications across neighboring nucleosomes, based on the framework of dynamic Bayesian network (DBN). From this model, we found that robust inter-nucleosomal interactions exist around transcription start site (TSS), transcription termination sites (TTS) or around CTCF binding sites; and these inter-nucleosomal interactions are often involved in transcription regulation. In addition to these general principles, DBN also uncovered a novel specific epigenetic interaction between H2A.Z and H4K20me1 on neighboring nucleosomes, involved in nucleosome free region (NFR) and nucleosome phasing establishment or maintenance. The level of negative correlation between neighboring H2A.Z and H4K20me1 strongly correlate with the size of NFR and the strength of nucleosome phasing around TSS. Our study revealed inter-nucleosomal communications as important players in signal propagation, chromatin remodeling and transcription regulation.
组蛋白修饰的组合效应被认为是转录活性的“组蛋白密码”。然而,在单个核小体水平上,组蛋白修饰之间是否存在核小体间的通讯,以及如果存在,它们发挥什么功能作用,目前还不清楚。同时,功能区域中清晰的核小体模式(如核小体相位和耗竭)是如何形成的,这仍然是一个有趣的谜。为了解决这些问题,我们基于动态贝叶斯网络(DBN)的框架,开发了一种用于相邻核小体之间不同组蛋白修饰相互作用的贝叶斯网络模型。从这个模型中,我们发现了在转录起始位点(TSS)、转录终止位点(TTS)或 CTCF 结合位点周围存在稳健的核小体间相互作用;这些核小体间相互作用通常涉及转录调控。除了这些一般原则外,DBN 还揭示了相邻核小体上 H2A.Z 和 H4K20me1 之间一种新的特定的组蛋白相互作用,参与核小体无区域(NFR)和核小体相位的建立或维持。相邻 H2A.Z 和 H4K20me1 之间的负相关水平与 NFR 的大小和 TSS 周围核小体相位的强度强烈相关。我们的研究揭示了核小体间通讯作为信号传递、染色质重塑和转录调控的重要参与者。