Advanced Science (Jun 2024)

Wemics: A Single‐Base Resolution Methylation Quantification Method for Enhanced Prediction of Epigenetic Regulation

  • Yi Liu,
  • Jiani Yi,
  • Pin Wu,
  • Jun Zhang,
  • Xufan Li,
  • Jia Li,
  • Liyuan Zhou,
  • Yong Liu,
  • Haiming Xu,
  • Enguo Chen,
  • Honghe Zhang,
  • Mingyu Liang,
  • Pengyuan Liu,
  • Xiaoqing Pan,
  • Yan Lu

DOI
https://doi.org/10.1002/advs.202308884
Journal volume & issue
Vol. 11, no. 21
pp. n/a – n/a

Abstract

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Abstract DNA methylation, an epigenetic mechanism that alters gene expression without changing DNA sequence, is essential for organism development and key biological processes like genomic imprinting and X‐chromosome inactivation. Despite tremendous efforts in DNA methylation research, accurate quantification of cytosine methylation remains a challenge. Here, a single‐base methylation quantification approach is introduced by weighting methylation of consecutive CpG sites (Wemics) in genomic regions. Wemics quantification of DNA methylation better predicts its regulatory impact on gene transcription and identifies differentially methylated regions (DMRs) with more biological relevance. Most Wemics‐quantified DMRs in lung cancer are epigenetically conserved and recurrently occurred in other primary cancers from The Cancer Genome Atlas (TCGA), and their aberrant alterations can serve as promising pan‐cancer diagnostic markers. It is further revealed that these detected DMRs are enriched in transcription factor (TF) binding motifs, and methylation of these TF binding motifs and TF expression synergistically regulate target gene expression. Using Wemics on epigenomic‐transcriptomic data from the large lung cancer cohort, a dozen novel genes with oncogenic potential are discovered that are upregulated by hypomethylation but overlooked by other quantification methods. These findings increase the understanding of the epigenetic mechanism by which DNA methylation regulates gene expression.

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