Title |
The senescent methylome and its relationship with cancer, ageing and germline genetic variation in humans
|
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Published in |
Genome Biology, September 2015
|
DOI | 10.1186/s13059-015-0748-4 |
Pubmed ID | |
Authors |
Robert Lowe, Marita G. Overhoff, Sreeram V. Ramagopalan, James C. Garbe, James Koh, Martha R. Stampfer, David H. Beach, Vardhman K. Rakyan, Cleo L. Bishop |
Abstract |
Cellular senescence is a stable arrest of proliferation and is considered a key component of processes associated with carcinogenesis and other ageing-related phenotypes. Here, we perform methylome analysis of actively dividing and deeply senescent normal human epithelial cells. We identify senescence-associated differentially methylated positions (senDMPs) from multiple experiments using cells from one donor. We find that human senDMP epigenetic signatures are positively and significantly correlated with both cancer and ageing-associated methylation dynamics. We also identify germline genetic variants, including those associated with the p16INK4A locus, which are associated with the presence of in vivo senDMP signatures. Importantly, we also demonstrate that a single senDMP signature can be effectively reversed in a newly-developed protocol of transient senescence reversal. The senDMP signature has significant potential for understanding some of the key (epi)genetic etiological factors that may lead to cancer and age-related diseases in humans. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 20% |
United States | 2 | 13% |
Canada | 1 | 7% |
France | 1 | 7% |
India | 1 | 7% |
Unknown | 7 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 53% |
Scientists | 5 | 33% |
Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 73 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 20% |
Researcher | 14 | 19% |
Student > Master | 11 | 15% |
Student > Bachelor | 7 | 9% |
Lecturer | 4 | 5% |
Other | 13 | 18% |
Unknown | 10 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 24 | 32% |
Biochemistry, Genetics and Molecular Biology | 23 | 31% |
Medicine and Dentistry | 6 | 8% |
Computer Science | 2 | 3% |
Nursing and Health Professions | 1 | 1% |
Other | 3 | 4% |
Unknown | 15 | 20% |