Nucleosome-Omics: A Perspective on the Epigenetic Code and 3D Genome Landscape

Genes (Basel). 2022 Jun 22;13(7):1114. doi: 10.3390/genes13071114.

Abstract

Genetic information is loaded on chromatin, which involves DNA sequence arrangement and the epigenetic landscape. The epigenetic information including DNA methylation, nucleosome positioning, histone modification, 3D chromatin conformation, and so on, has a crucial impact on gene transcriptional regulation. Out of them, nucleosomes, as basal chromatin structural units, play an important central role in epigenetic code. With the discovery of nucleosomes, various nucleosome-level technologies have been developed and applied, pushing epigenetics to a new climax. As the underlying methodology, next-generation sequencing technology has emerged and allowed scientists to understand the epigenetic landscape at a genome-wide level. Combining with NGS, nucleosome-omics (or nucleosomics) provides a fresh perspective on the epigenetic code and 3D genome landscape. Here, we summarized and discussed research progress in technology development and application of nucleosome-omics. We foresee the future directions of epigenetic development at the nucleosome level.

Keywords: 3D genome; MNase-seq; Micro-C; epigenetics; nucleosomes.

Publication types

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

MeSH terms

  • Chromatin Assembly and Disassembly / genetics
  • Chromatin* / genetics
  • Epigenesis, Genetic
  • High-Throughput Nucleotide Sequencing / methods
  • Nucleosomes* / genetics

Substances

  • Chromatin
  • Nucleosomes

Grants and funding

This work was supported by the National Key Research and Development Program of China (No. 2018YFA0903201); the National Natural Science Foundation of China (No. 31970592); the Agricultural Science and Technology Innovation Program; the Projects Funded by China Postdoctoral Science Foundation (No. BX2021367 and 2021M703543); the Guangdong Basic and Applied Basic Research Foundation (No. 2022A1515010766); the Shenzhen Science and Technology Program (Grant No. KCXFZ20201221173205015 and RCBS20210609104512021). Jun Yin from NIH/NINDS helped in the grammar editing.