| Literature DB >> 32240773 |
Ryuichiro Nakato1, Toyonori Sakata2.
Abstract
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.Entities:
Keywords: ChIP-seq; Chromatin state; Histone modifications; Machine learning; Quality assessment; Single-cell analysis
Year: 2020 PMID: 32240773 DOI: 10.1016/j.ymeth.2020.03.005
Source DB: PubMed Journal: Methods ISSN: 1046-2023 Impact factor: 3.608