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Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape

BACKGROUND: DNA methylation is an epigenetic modification that changes with age in human tissues, although the mechanisms and specificity of this process are still poorly understood. We compared CpG methylation changes with age across 283 human blood, brain, kidney, and skeletal muscle samples using...

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Autores principales: Day, Kenneth, Waite, Lindsay L, Thalacker-Mercer, Anna, West, Andrew, Bamman, Marcas M, Brooks, James D, Myers, Richard M, Absher, Devin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053985/
https://www.ncbi.nlm.nih.gov/pubmed/24034465
http://dx.doi.org/10.1186/gb-2013-14-9-r102
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author Day, Kenneth
Waite, Lindsay L
Thalacker-Mercer, Anna
West, Andrew
Bamman, Marcas M
Brooks, James D
Myers, Richard M
Absher, Devin
author_facet Day, Kenneth
Waite, Lindsay L
Thalacker-Mercer, Anna
West, Andrew
Bamman, Marcas M
Brooks, James D
Myers, Richard M
Absher, Devin
author_sort Day, Kenneth
collection PubMed
description BACKGROUND: DNA methylation is an epigenetic modification that changes with age in human tissues, although the mechanisms and specificity of this process are still poorly understood. We compared CpG methylation changes with age across 283 human blood, brain, kidney, and skeletal muscle samples using methylation arrays to identify tissue-specific age effects. RESULTS: We found age-associated CpGs (ageCGs) that are both tissue-specific and common across tissues. Tissue-specific ageCGs are frequently located outside CpG islands with decreased methylation, and common ageCGs show the opposite trend. AgeCGs are significantly associated with poorly expressed genes, but those with decreasing methylation are linked with higher tissue-specific expression levels compared with increasing methylation. Therefore, tissue-specific gene expression may protect against common age-dependent methylation. Distinguished from other tissues, skeletal muscle ageCGs are more associated with expression, enriched near genes related to myofiber contraction, and closer to muscle-specific CTCF binding sites. Kidney-specific ageCGs are more increasingly methylated compared to other tissues as measured by affiliation with kidney-specific expressed genes. Underlying chromatin features also mark common and tissue-specific age effects reflective of poised and active chromatin states, respectively. In contrast with decreasingly methylated ageCGs, increasingly methylated ageCGs are also generally further from CTCF binding sites and enriched within lamina associated domains. CONCLUSIONS: Our data identified common and tissue-specific DNA methylation changes with age that are reflective of CpG landscape and suggests both common and unique alterations within human tissues. Our findings also indicate that a simple epigenetic drift model is insufficient to explain all age-related changes in DNA methylation.
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spelling pubmed-40539852014-06-12 Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape Day, Kenneth Waite, Lindsay L Thalacker-Mercer, Anna West, Andrew Bamman, Marcas M Brooks, James D Myers, Richard M Absher, Devin Genome Biol Research BACKGROUND: DNA methylation is an epigenetic modification that changes with age in human tissues, although the mechanisms and specificity of this process are still poorly understood. We compared CpG methylation changes with age across 283 human blood, brain, kidney, and skeletal muscle samples using methylation arrays to identify tissue-specific age effects. RESULTS: We found age-associated CpGs (ageCGs) that are both tissue-specific and common across tissues. Tissue-specific ageCGs are frequently located outside CpG islands with decreased methylation, and common ageCGs show the opposite trend. AgeCGs are significantly associated with poorly expressed genes, but those with decreasing methylation are linked with higher tissue-specific expression levels compared with increasing methylation. Therefore, tissue-specific gene expression may protect against common age-dependent methylation. Distinguished from other tissues, skeletal muscle ageCGs are more associated with expression, enriched near genes related to myofiber contraction, and closer to muscle-specific CTCF binding sites. Kidney-specific ageCGs are more increasingly methylated compared to other tissues as measured by affiliation with kidney-specific expressed genes. Underlying chromatin features also mark common and tissue-specific age effects reflective of poised and active chromatin states, respectively. In contrast with decreasingly methylated ageCGs, increasingly methylated ageCGs are also generally further from CTCF binding sites and enriched within lamina associated domains. CONCLUSIONS: Our data identified common and tissue-specific DNA methylation changes with age that are reflective of CpG landscape and suggests both common and unique alterations within human tissues. Our findings also indicate that a simple epigenetic drift model is insufficient to explain all age-related changes in DNA methylation. BioMed Central 2013 2013-09-13 /pmc/articles/PMC4053985/ /pubmed/24034465 http://dx.doi.org/10.1186/gb-2013-14-9-r102 Text en Copyright © 2013 Day et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Day, Kenneth
Waite, Lindsay L
Thalacker-Mercer, Anna
West, Andrew
Bamman, Marcas M
Brooks, James D
Myers, Richard M
Absher, Devin
Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
title Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
title_full Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
title_fullStr Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
title_full_unstemmed Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
title_short Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
title_sort differential dna methylation with age displays both common and dynamic features across human tissues that are influenced by cpg landscape
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053985/
https://www.ncbi.nlm.nih.gov/pubmed/24034465
http://dx.doi.org/10.1186/gb-2013-14-9-r102
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