Bibliometric review of ATAC-Seq and its application in gene expression

Brief Bioinform. 2022 May 13;23(3):bbac061. doi: 10.1093/bib/bbac061.

Abstract

With recent advances in high-throughput next-generation sequencing, it is possible to describe the regulation and expression of genes at multiple levels. An assay for transposase-accessible chromatin using sequencing (ATAC-seq), which uses Tn5 transposase to sequence protein-free binding regions of the genome, can be combined with chromatin immunoprecipitation coupled with deep sequencing (ChIP-seq) and ribonucleic acid sequencing (RNA-seq) to provide a detailed description of gene expression. Here, we reviewed the literature on ATAC-seq and described the characteristics of ATAC-seq publications. We then briefly introduced the principles of RNA-seq, ChIP-seq and ATAC-seq, focusing on the main features of the techniques. We built a phylogenetic tree from species that had been previously studied by using ATAC-seq. Studies of Mus musculus and Homo sapiens account for approximately 90% of the total ATAC-seq data, while other species are still in the process of accumulating data. We summarized the findings from human diseases and other species, illustrating the cutting-edge discoveries and the role of multi-omics data analysis in current research. Moreover, we collected and compared ATAC-seq analysis pipelines, which allowed biological researchers who lack programming skills to better analyze and explore ATAC-seq data. Through this review, it is clear that multi-omics analysis and single-cell sequencing technology will become the mainstream approach in future research.

Keywords: ATAC-seq; ChIP-seq; RNA-seq; gene expression; multi-omics analysis.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bibliometrics
  • Chromatin Immunoprecipitation Sequencing*
  • Gene Expression
  • High-Throughput Nucleotide Sequencing* / methods
  • Humans
  • Mice
  • Phylogeny
  • RNA
  • Sequence Analysis, DNA / methods

Substances

  • RNA