Emergence of CpG-cluster blanket methylation in aged tissues: a novel signature of epigenomic aging

Aging is accompanied by widespread DNA methylation changes across the genome. While age-related methylation studies typically focus on individual CpGs, cluster analysis provides more robust data and improved interpretation. We characterized age-associated CpG-cluster methylation changes in mouse spleens, peripheral blood mononuclear cells, and livers. We identified a novel signature termed blanket methylations (BMs), fully methylated CpG clusters absent in young tissues but appearing in aged tissues. BM formation was locus- and cell-dependent, with minimal overlap among tissues. Statistical analysis, heterogeneity assessment, and random modeling demonstrated that BMs arise through nonrandom mechanisms and correlate with accelerated aging. Notably, BMs appeared in chronologically young mice with progeroid or disease-driven aging, including in 4-month-old Zmpste24-/- (lifespan ∼5 months) and 3-month-old Huntington's disease model mice (lifespan ∼4 months). The detection of BMs in purified CD4+ T cells demonstrated that their occurrence is intrinsic to aging cells rather than a result of infiltration from other tissues. Further investigation revealed age-related downregulation of zinc-finger-CxxC-domain genes, including Tet1 and Tet3, which protect CpG islands from methylation. Importantly, TET1 or TET3 depletion induced BM formation, linking their loss to age-associated methylation drift. These findings establish BMs as a robust marker of epigenomic aging, providing insight into age-related methylation changes.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-10
DOI
https://doi.org/10.1093/nar/gkaf354
Citations
1
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.81

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article

Emergence of CpG-cluster blanket methylation in aged tissues: a novel signature of epigenomic aging

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1 citations
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Epigenetics and DNA Methylation
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article

Emergence of CpG-cluster blanket methylation in aged tissues: a novel signature of epigenomic aging

Jung Sun Park, Yong‐Kook Kang, J. S. Jang, Jaemin Eom, Sangkyun Jeong, Byungkuk Min
article en
1 citations

Abstract

Aging is accompanied by widespread DNA methylation changes across the genome. While age-related methylation studies typically focus on individual CpGs, cluster analysis provides more robust data and improved interpretation. We characterized age-associated CpG-cluster methylation changes in mouse spleens, peripheral blood mononuclear cells, and livers. We identified a novel signature termed blanket methylations (BMs), fully methylated CpG clusters absent in young tissues but appearing in aged tissues. BM formation was locus- and cell-dependent, with minimal overlap among tissues. Statistical analysis, heterogeneity assessment, and random modeling demonstrated that BMs arise through nonrandom mechanisms and correlate with accelerated aging. Notably, BMs appeared in chronologically young mice with progeroid or disease-driven aging, including in 4-month-old Zmpste24-/- (lifespan ∼5 months) and 3-month-old Huntington's disease model mice (lifespan ∼4 months). The detection of BMs in purified CD4+ T cells demonstrated that their occurrence is intrinsic to aging cells rather than a result of infiltration from other tissues. Further investigation revealed age-related downregulation of zinc-finger-CxxC-domain genes, including Tet1 and Tet3, which protect CpG islands from methylation. Importantly, TET1 or TET3 depletion induced BM formation, linking their loss to age-associated methylation drift. These findings establish BMs as a robust marker of epigenomic aging, providing insight into age-related methylation changes.

Nucleic Acids ResearchVol. 53(9)
Genomics (United Kingdom) (GB), Korea Research Institute of Bioscience and Biotechnology (KR), Korea University of Science and Technology (KR)
Korea Research Institute of Bioscience and Biotechnology, National Research Council of Science and Technology
Life below water
Openalex Percentile: Top 28%
Epigenetics and DNA Methylation
0.81
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