Cargando…

DNA methylation entropy as a measure of stem cell replication and aging

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. RESU...

Descripción completa

Detalles Bibliográficos
Autores principales: Vaidya, Himani, Jeong, Hye Seon, Keith, Kelsey, Maegawa, Shinji, Calendo, Gennaro, Madzo, Jozef, Jelinek, Jaroslav, Issa, Jean-Pierre J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933260/
https://www.ncbi.nlm.nih.gov/pubmed/36797759
http://dx.doi.org/10.1186/s13059-023-02866-4
_version_ 1784889635771514880
author Vaidya, Himani
Jeong, Hye Seon
Keith, Kelsey
Maegawa, Shinji
Calendo, Gennaro
Madzo, Jozef
Jelinek, Jaroslav
Issa, Jean-Pierre J.
author_facet Vaidya, Himani
Jeong, Hye Seon
Keith, Kelsey
Maegawa, Shinji
Calendo, Gennaro
Madzo, Jozef
Jelinek, Jaroslav
Issa, Jean-Pierre J.
author_sort Vaidya, Himani
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02866-4.
format Online
Article
Text
id pubmed-9933260
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99332602023-02-17 DNA methylation entropy as a measure of stem cell replication and aging Vaidya, Himani Jeong, Hye Seon Keith, Kelsey Maegawa, Shinji Calendo, Gennaro Madzo, Jozef Jelinek, Jaroslav Issa, Jean-Pierre J. Genome Biol Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02866-4. BioMed Central 2023-02-16 /pmc/articles/PMC9933260/ /pubmed/36797759 http://dx.doi.org/10.1186/s13059-023-02866-4 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Vaidya, Himani
Jeong, Hye Seon
Keith, Kelsey
Maegawa, Shinji
Calendo, Gennaro
Madzo, Jozef
Jelinek, Jaroslav
Issa, Jean-Pierre J.
DNA methylation entropy as a measure of stem cell replication and aging
title DNA methylation entropy as a measure of stem cell replication and aging
title_full DNA methylation entropy as a measure of stem cell replication and aging
title_fullStr DNA methylation entropy as a measure of stem cell replication and aging
title_full_unstemmed DNA methylation entropy as a measure of stem cell replication and aging
title_short DNA methylation entropy as a measure of stem cell replication and aging
title_sort dna methylation entropy as a measure of stem cell replication and aging
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933260/
https://www.ncbi.nlm.nih.gov/pubmed/36797759
http://dx.doi.org/10.1186/s13059-023-02866-4
work_keys_str_mv AT vaidyahimani dnamethylationentropyasameasureofstemcellreplicationandaging
AT jeonghyeseon dnamethylationentropyasameasureofstemcellreplicationandaging
AT keithkelsey dnamethylationentropyasameasureofstemcellreplicationandaging
AT maegawashinji dnamethylationentropyasameasureofstemcellreplicationandaging
AT calendogennaro dnamethylationentropyasameasureofstemcellreplicationandaging
AT madzojozef dnamethylationentropyasameasureofstemcellreplicationandaging
AT jelinekjaroslav dnamethylationentropyasameasureofstemcellreplicationandaging
AT issajeanpierrej dnamethylationentropyasameasureofstemcellreplicationandaging