Genome wide approaches to identify protein-DNA interactions

Tao Ma, Zhenqing Ye, Liguo Wang

Research output: Contribution to journalReview article

1 Scopus citations

Abstract

Background: Transcription factors are DNA-binding proteins that play key roles in many fundamental biological processes. Unraveling their interactions with DNA is essential to identify their target genes and understand the regulatory network. Genome-wide identification of their binding sites became feasible thanks to recent progress in experimental and computational approaches. ChIP-chip, ChIP-seq, and ChIP-exo are three widely used techniques to demarcate genome-wide transcription factor binding sites. Objective: This review aims to provide an overview of these three techniques including their experiment procedures, computational approaches, and popular analytic tools. Conclusion: ChIP-chip, ChIP-seq, and ChIP-exo have been the major techniques to study genome-wide in vivo protein-DNA interaction. Due to the rapid development of next-generation sequencing technology, array-based ChIP-chip is deprecated and ChIP-seq has become the most widely used technique to identify transcription factor binding sites in genome-wide. The newly developed ChIP-exo further improves the spatial resolution to single nucleotide. Numerous tools have been developed to analyze ChIP-chip, ChIP-seq and ChIP-exo data. However, different programs may employ different mechanisms or underlying algorithms thus each will inherently include its own set of statistical assumption and bias. So choosing the most appropriate analytic program for a given experiment needs careful considerations. Moreover, most programs only have command line interface so their installation and usage will require basic computation expertise in Unix/Linux.

Original languageEnglish (US)
Pages (from-to)7641-7654
Number of pages14
JournalCurrent Medicinal Chemistry
Volume26
Issue number42
DOIs
StatePublished - Jan 1 2019

Keywords

  • ChIP-chip
  • ChIP-exo
  • ChIP-seq
  • Chromatin immunoprecipitation
  • Data analysis
  • Microarrays
  • Next-generation sequencing
  • Transcription factor
  • Transcription factor binding site

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Medicine
  • Pharmacology
  • Drug Discovery
  • Organic Chemistry

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