Sol Moe Lee, David C. Goldberg, Cameron Cloud, Jared B. Parker, Christopher Krapp, Christian E. Loo, Elliot Kim, Ivan Zhao, Chengcheng Jin, Rishi Porecha, Marisa S. Bartolomei, Rahul M. Kohli, Wanding Zhou
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Our atlas reveals a complex grammar of 5hmC distribution, jointly shaped by cell mitotic activity, chromatin states, and interplay with 5mC at the same and neighboring CpG sites. Of note, we demonstrate that 5hmC significantly complements 5mC-based biomarkers in delineating cell identity in both brain and non-brain tissues. Each modification state, including 5hmC alone, accurately discriminates tissue types, enabling high-precision machine learning classification of epigenetic identity. Furthermore, the ternary methylome variations extensively implicate gene transcriptional variation, with age-related changes correlated with gene expression in a tissue-dependent manner. Our work reveals how tissue, sex, and age jointly govern the dynamics of the two cytosine modifications, augments the scope of DNA modification biomarker discovery, and provides a reference atlas to explore epigenetic dynamics in development and disease.","PeriodicalId":12611,"journal":{"name":"Genome Biology","volume":"18 1","pages":""},"PeriodicalIF":10.1000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A ternary-code DNA methylome atlas of mouse tissues\",\"authors\":\"Sol Moe Lee, David C. Goldberg, Cameron Cloud, Jared B. Parker, Christopher Krapp, Christian E. Loo, Elliot Kim, Ivan Zhao, Chengcheng Jin, Rishi Porecha, Marisa S. Bartolomei, Rahul M. 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Of note, we demonstrate that 5hmC significantly complements 5mC-based biomarkers in delineating cell identity in both brain and non-brain tissues. Each modification state, including 5hmC alone, accurately discriminates tissue types, enabling high-precision machine learning classification of epigenetic identity. Furthermore, the ternary methylome variations extensively implicate gene transcriptional variation, with age-related changes correlated with gene expression in a tissue-dependent manner. 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A ternary-code DNA methylome atlas of mouse tissues
DNA cytosine modifications, including 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), are key epigenetic regulators with distinct functions. Dissecting the ternary code (C, 5mC, 5hmC) across tissues and cell types remains a critical priority due to the limitations of traditional profiling methods based on bisulfite conversion. Here, we leverage the combined bisulfite and enzymatic (bACE) conversion with the Mouse Methylation BeadChip to generate 265 base-resolution ternary-code modification maps of 5mC and 5hmC across 29 mouse tissue types spanning 8–76 weeks of age and both sexes. Our atlas reveals a complex grammar of 5hmC distribution, jointly shaped by cell mitotic activity, chromatin states, and interplay with 5mC at the same and neighboring CpG sites. Of note, we demonstrate that 5hmC significantly complements 5mC-based biomarkers in delineating cell identity in both brain and non-brain tissues. Each modification state, including 5hmC alone, accurately discriminates tissue types, enabling high-precision machine learning classification of epigenetic identity. Furthermore, the ternary methylome variations extensively implicate gene transcriptional variation, with age-related changes correlated with gene expression in a tissue-dependent manner. Our work reveals how tissue, sex, and age jointly govern the dynamics of the two cytosine modifications, augments the scope of DNA modification biomarker discovery, and provides a reference atlas to explore epigenetic dynamics in development and disease.
Genome BiologyBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
21.00
自引率
3.30%
发文量
241
审稿时长
2 months
期刊介绍:
Genome Biology stands as a premier platform for exceptional research across all domains of biology and biomedicine, explored through a genomic and post-genomic lens.
With an impressive impact factor of 12.3 (2022),* the journal secures its position as the 3rd-ranked research journal in the Genetics and Heredity category and the 2nd-ranked research journal in the Biotechnology and Applied Microbiology category by Thomson Reuters. Notably, Genome Biology holds the distinction of being the highest-ranked open-access journal in this category.
Our dedicated team of highly trained in-house Editors collaborates closely with our esteemed Editorial Board of international experts, ensuring the journal remains on the forefront of scientific advances and community standards. Regular engagement with researchers at conferences and institute visits underscores our commitment to staying abreast of the latest developments in the field.