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Mapping and Analysis of Chromatin State Dynamics in Nine Human Cell Types

机译:9种人类细胞染色质状态动态的定位与分析

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摘要

Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease.
机译:染色质谱分析已成为一种强大的基因组注释和调节活性检测手段。该方法特别适合于基因组非编码部分的表征,这些非编码部分对细胞表型起关键作用,但很大程度上仍未知。在这里,我们在九种细胞类型上绘制了九个染色质标记,以系统地表征调控元件,它们的细胞类型特异性及其功能相互作用。着眼于启动子和增强子的细胞类型特异性模式,我们定义了染色质状态,基因表达,调控基序富集和调控子表达的多细胞活性谱。我们使用这些配置文件之间的相关性,将增强子与假定的靶基因联系起来,并预测调节它们的细胞类型特异性激活剂和阻遏物。产生的注释和监管预测对全基因组关联研究的解释具有影响。得分最高的疾病单核苷酸多态性经常位于在相关细胞类型中特异性活跃的增强子元件内,并且在某些情况下会影响预测调控子的基序实例,从而暗示了这种关联的机制。我们的研究提出了一个解释顺式调控连接及其在疾病中作用的一般框架。

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