Luo Chongyuan, Sidote David J, Zhang Yi, Kerstetter Randall A, Michael Todd P, Lam Eric
Department of Plant Biology & Pathology, Rutgers - The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA.
Waksman Institute of Microbiology, Rutgers University, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Plant J. 2013 Jan;73(1):77-90. doi: 10.1111/tpj.12017. Epub 2012 Oct 26.
Genome-wide analyses of epigenomic and transcriptomic profiles provide extensive resources for discovering epigenetic regulatory mechanisms. However, the construction of functionally relevant hypotheses from correlative patterns and the rigorous testing of these hypotheses may be challenging. We combined bioinformatics-driven hypothesis building with mutant analyses to identify potential epigenetic mechanisms using the model plant Arabidopsis thaliana. Genome-wide maps of nine histone modifications produced by ChIP-seq were used together with a strand-specific RNA-seq dataset to profile the epigenome and transcriptome of Arabidopsis. Combinatorial chromatin patterns were described by 42 major chromatin states with selected states validated using the re-ChIP assay. The functional relevance of chromatin modifications was analyzed using the ANchored CORrelative Pattern (ANCORP) method and a newly developed state-specific effects analysis (SSEA) method, which interrogates individual chromatin marks in the context of combinatorial chromatin states. Based on results from these approaches, we propose the hypothesis that cytosine methylation (5mC) and histone methylation H3K36me may synergistically repress production of natural antisense transcripts (NATs) in the context of actively expressed genes. Mutant analyses supported this proposed model at a significant proportion of the tested loci. We further identified polymerase-associated factor as a potential repressor for NAT abundance. Although the majority of tested NATs were found to localize to the nucleus, we also found evidence for cytoplasmically partitioned NATs. The significance of the subcellular localization of NATs and their biological functions remain to be defined.
对表观基因组和转录组图谱进行全基因组分析为发现表观遗传调控机制提供了丰富的资源。然而,从相关模式构建功能相关的假设并对这些假设进行严格测试可能具有挑战性。我们将生物信息学驱动的假设构建与突变分析相结合,以利用模式植物拟南芥确定潜在的表观遗传机制。通过ChIP-seq产生的9种组蛋白修饰的全基因组图谱与链特异性RNA-seq数据集一起用于分析拟南芥的表观基因组和转录组。用42种主要染色质状态描述了组合染色质模式,并使用再ChIP分析验证了选定的状态。使用锚定相关模式(ANCORP)方法和新开发的状态特异性效应分析(SSEA)方法分析染色质修饰的功能相关性,该方法在组合染色质状态的背景下研究单个染色质标记。基于这些方法的结果,我们提出了一个假设,即在活跃表达的基因背景下,胞嘧啶甲基化(5mC)和组蛋白甲基化H3K36me可能协同抑制天然反义转录本(NAT)的产生。突变分析在很大比例的测试位点上支持了这一模型。我们进一步确定聚合酶相关因子是NAT丰度的潜在抑制因子。虽然大多数测试的NAT被发现定位于细胞核,但我们也发现了细胞质中存在NAT的证据。NAT亚细胞定位的意义及其生物学功能仍有待确定。