Abstract

The mammalian DNA methylome is formed by two antagonizing processes, methylation by DNA methyltransferases (DNMT) and demethylation by ten-eleven translocation (TET) dioxygenases. Although the dynamics of either methylation or demethylation have been intensively studied in the past decade, the direct effects of their interaction on gene expression remain elusive. Here, we quantify the concurrence of DNA methylation and demethylation by the percentage of unmethylated CpGs within a partially methylated read from bisulfite sequencing. After verifying ‘methylation concurrence’ by its strong association with the co-localization of DNMT and TET enzymes, we observe that methylation concurrence is strongly correlated with gene expression. Notably, elevated methylation concurrence in tumors is associated with the repression of 40~60% of tumor suppressor genes, which cannot be explained by promoter hypermethylation alone. Furthermore, methylation concurrence can be used to stratify large undermethylated regions with negligible differences in average methylation into two subgroups with distinct chromatin accessibility and gene regulation patterns. Together, methylation concurrence represents a unique methylation metric important for transcription regulation and is distinct from conventional metrics, such as average methylation and methylation variation.

The global pattern of the mammalian methylome is formed by changes in methylation and demethylation. Here the authors describe a metric methylation concurrence that measures the ratio of unmethylated CpGs inside the partially methylated reads and show that methylation concurrence is associated with epigenetically regulated tumour suppressor genes.

Details

Title
The concurrence of DNA methylation and demethylation is associated with transcription regulation
Author
Shi Jiejun 1   VIAFID ORCID Logo  ; Xu, Jianfeng 2 ; Chen, Yiling Elaine 3   VIAFID ORCID Logo  ; Li, Jason Sheng 1   VIAFID ORCID Logo  ; Cui Ya 1   VIAFID ORCID Logo  ; Shen Lanlan 4   VIAFID ORCID Logo  ; Li, Jingyi Jessica 3   VIAFID ORCID Logo  ; Li, Wei 1   VIAFID ORCID Logo 

 University of California, Irvine, Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, Irvine, USA (GRID:grid.266093.8) (ISNI:0000 0001 0668 7243) 
 Baylor College of Medicine, Department of Molecular and Cellular Biology, Houston, USA (GRID:grid.39382.33) (ISNI:0000 0001 2160 926X) 
 University of California, Department of Statistics, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, USA (GRID:grid.508989.5) (ISNI:0000 0004 6410 7501) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2569483175
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.