Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: The Senescent Methylome and its relationship with cancer, ageing, and germline genetic variation in humans (methylation experiment 1)      
dateReleased:
07-26-2015
description:
Cellular senescence is a stable arrest of proliferation and is considered a key component of processes associated with carcinogenesis and other ageing-related phenotypes. However, till now, biological markers that define senescence on a genome-wide scale have been limited. Here, we report a DNA methylomic analysis of actively dividing and deeply senescent normal human epithelial cells, identifying 3,852 senescence-associated differentially methylated positions (senDMPs). We find that this human senDMP signature is positively and significantly correlated with both cancer and ageing-associated methylomic dynamics. We also identify germline genetic variants, including those associated with the p16INK4A locus, that are associated with the presence of in vivo senDMP signatures. Importantly, we also demonstrate that the senDMP signature can be effectively reversed in a newly-developed protocol of transient cellular rejuvenation. The senDMP signature has significant potential for understanding some of the key (epi)genetic etiological factors that lead to cancer and age-related diseases in humans. Bisulphite converted DNA from the HMECs at early passage (EP), deep senescence (DS), deep senescence + p16 siRNA (DS+p16siRNA) at two different time points and FACS for cell cycle at EP were hybridised to the Illumina Infinium 450k Human Methylation Beadchip
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-56719
refinement:
raw
alternateIdentifiers:
56719
keywords:
functional genomics
dateModified:
08-19-2015
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-GEOD-13534
name:
Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482_v.1.1)
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-56719/E-GEOD-56719.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-56719/E-GEOD-56719.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56719
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

Feedback?

If you are having problems using our tools, or if you would just like to send us some feedback, please post your questions on GitHub.