表观遗传学
表观基因组
染色质
计算机科学
工作流程
计算生物学
芯片排序
染色质免疫沉淀
生物
遗传学
染色质重塑
DNA甲基化
数据库
基因
基因表达
发起人
作者
Ryuichiro Nakato,Toyonori Sakata
出处
期刊:Methods
[Elsevier]
日期:2020-03-30
卷期号:187: 44-53
被引量:146
标识
DOI:10.1016/j.ymeth.2020.03.005
摘要
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a central method in epigenomic research. Genome-wide analysis of histone modifications, such as enhancer analysis and genome-wide chromatin state annotation, enables systematic analysis of how the epigenomic landscape contributes to cell identity, development, lineage specification, and disease. In this review, we first present a typical ChIP-seq analysis workflow, from quality assessment to chromatin-state annotation. We focus on practical, rather than theoretical, approaches for biological studies. Next, we outline various advanced ChIP-seq applications and introduce several state-of-the-art methods, including prediction of gene expression level and chromatin loops from epigenome data and data imputation. Finally, we discuss recently developed single-cell ChIP-seq analysis methodologies that elucidate the cellular diversity within complex tissues and cancers.
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