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Status |
Public on Feb 10, 2010 |
Title |
Human Aging-associated DNA Hypermethylation Occurs Preferentially at Bivalent Chromatin Domains |
Organism |
Homo sapiens |
Experiment type |
Methylation profiling by array
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Summary |
There is a growing realization that some aging-associated phenotypes/diseases have an epigenetic basis. Here we report the first genome-scale study of epigenomic dynamics during normal human aging. We identify aging-associated differentially methylated regions (aDMRs) in whole blood in a discovery cohort, and then replicate these aDMRs in sorted CD4+ T-cells and CD14+ monocytes in an independent cohort, suggesting that aDMRs occur in precursor haematopoietic cells. Further replication of the aDMRs in buccal cells, representing a tissue that originates from a different germ-layer compared with blood, demonstrates that the aDMR signature is a multi-tissue phenomenon. Moreover, we demonstrate that aging-associated DNA hypermethylation occurs predominantly at bivalent chromatin domain promoters. This same category of promoters, associated with key developmental genes, is frequently hypermethylated in cancers and in vitro cell culture, pointing to a novel mechanistic link between aberrant hypermethylation in cancer, aging, and cell culture.
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Overall design |
We measured the methylation state of 27,578 CpG sites (Illumina HumanMethylation27 array) in sorted human blood cells to validate aging-associated DMRs.
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Contributor(s) |
Rakyan VK, Down TA, Maslau S, Andrew T, Yang T, Beyan H, Whittaker P, McCann OT, Finer S, Valdes AM, Leslie RD, Deloukas P, Spector TD |
Citation(s) |
20219945 |
Submission date |
Feb 09, 2010 |
Last update date |
Jan 02, 2015 |
Contact name |
Thomas A Down |
E-mail(s) |
thomas.down@gurdon.cam.ac.uk
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Organization name |
University of Cambridge
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Department |
WT/CRUK Gurdon Institute
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Street address |
Tennis Court Road
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City |
Cambridge |
ZIP/Postal code |
CB2 1QN |
Country |
United Kingdom |
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Platforms (1) |
GPL8490 |
Illumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2) |
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Samples (50)
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Relations |
BioProject |
PRJNA125673 |
Supplementary file |
Size |
Download |
File type/resource |
GSE20242_RAW.tar |
5.8 Mb |
(http)(custom) |
TAR |
GSE20242_non_normalized.txt.gz |
7.9 Mb |
(ftp)(http) |
TXT |
Processed data included within Sample table |
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