DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence

Yuqi Fang, Zhicheng Ji, Weiqiang Zhou, Jordi Abante, Michael A. Koldobskiy, Hongkai Ji, Andrew P. Feinberg

Research output: Contribution to journalArticlepeer-review

Abstract

Epigenetic information defines tissue identity and is largely inherited in development through DNA methylation. While studied mostly for mean differences, methylation also encodes stochastic change, defined as entropy in information theory. Analyzing allele-specific methylation in 49 human tissue sample datasets, we find that methylation entropy is associated with specific DNA binding motifs, regulatory DNA, and CpG density. Then applying information theory to 42 mouse embryo methylation datasets, we find that the contribution of methylation entropy to time- and tissue-specific patterns of development is comparable to the contribution of methylation mean, and methylation entropy is associated with sequence and chromatin features conserved with human. Moreover, methylation entropy is directly related to gene expression variability in development, suggesting a role for epigenetic entropy in developmental plasticity.

Original languageEnglish (US)
Pages (from-to)2046-2065
Number of pages20
JournalNucleic acids research
Volume51
Issue number5
DOIs
StatePublished - Mar 21 2023

ASJC Scopus subject areas

  • Genetics

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