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DNA methylation entropy as a measure of stem cell replication and aging
Himani Vaidya, Hye Seon Jeong, Kelsey Keith, Shinji Maegawa, Gennaro Calendo, Jozef Madžo, Jaroslav Jelı́nek, Jean‐Pierre J. Issa
Genome biology · 2023 · ▲ 36 citations
Abstract
BACKGROUND: Epigenetic marks are encoded by DNA methylation and accumulate errors as organisms age. This drift correlates with lifespan, but the biology of how this occurs is still unexplained. We analyze DNA methylation with age in mouse intestinal stem cells and compare them to nonstem cells. RESULTS: Age-related changes in DNA methylation are identical in stem and nonstem cells, affect most prominently CpG islands and correlate weakly with gene expression. Age-related DNA methylation entropy, measured by the Jensen-Shannon Distribution, affects up to 25% of the detectable CpG sites and is a better measure of aging than individual CpG methylation. We analyze this entropy as a function of age in seven other tissues (heart, kidney, skeletal muscle, lung, liver, spleen, and blood) and it correlates strikingly with tissue-specific stem cell division rates. Thus, DNA methylation drift and increased entropy with age are primarily caused by and are sensors for, stem cell replication in adult tissues. CONCLUSIONS: These data have implications for the mechanisms of tissue-specific functional declines with aging and for the development of DNA-methylation-based biological clocks.
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- 10.1186/s13059-023-02866-4
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- 2026-07-15 MST
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APA
Vaidya, H., Jeong, H.S., Keith, K., Maegawa, S., Calendo, G., Madžo, J., Jelı́nek, J., & Issa, J.J. (2023). DNA methylation entropy as a measure of stem cell replication and aging. <em>Genome biology</em>. https://doi.org/10.1186/s13059-023-02866-4
Vancouver
Vaidya H, Jeong HS, Keith K, Maegawa S, Calendo G, Madžo J, et al. DNA methylation entropy as a measure of stem cell replication and aging. Genome biology. 2023. doi:10.1186/s13059-023-02866-4.
BibTeX
@article{himani2023DNAmet,
title = {DNA methylation entropy as a measure of stem cell replication and aging},
author = {Himani Vaidya and Hye Seon Jeong and Kelsey Keith and Shinji Maegawa and Gennaro Calendo and Jozef Madžo and Jaroslav Jelı́nek and Jean‐Pierre J. Issa},
journal = {Genome biology},
year = {2023},
doi = {10.1186/s13059-023-02866-4},
}
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