biomedical and healthCAre Data Discovery Index Ecosystem
biomedical and healthCAre Data Discovery Index Ecosystem
| Title: | DNA methylation patterns associated with arsenicosis
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| dateReleased: |
12-16-2010
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| description: |
DNA methylation patterns were analyzed in blood samples from humans unexposed or exposed to arsenic Using a state-of-the-art technique to map the methylomes of our study subjects, we identified a large interactome of hypermethylated genes that are enriched for their involvement in arsenic-associated diseases, such as cancer, heart disease, and diabetes. Notably, we have uncovered an arsenic-induced “suppressorome” - a complex of 17 known and putative tumor suppressors silenced in human cancers. This finding represents a pivotal clue in unravelling a possible epigenetic mode of arsenic induced disease. DNA was extracted from 16 blood samples, 8 of which were from individuals showing signs of arsenicosis and 8 from individuals not showing signs of arsenicosis. CpG-methylated DNA was pulled down using a methyl binding domain protein. DNA samples were hybridized to Affymetrix Human Promoter 1.0R arrays, and chips were scanned using an Affymetrix scanner.
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| privacy: |
not applicable
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| aggregation: |
instance of dataset
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| ID: |
E-GEOD-26073
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| refinement: |
raw
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| alternateIdentifiers: |
26073
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| keywords: |
functional genomics
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| dateModified: |
07-24-2012
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| availability: |
available
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| types: |
gene expression
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| name: |
Homo sapiens
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| ID: |
A-GEOD-5082
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| name: |
[Hs_PromPR] Affymetrix Human Promoter 1.0R Array
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| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-26073/E-GEOD-26073.raw.1.zip |
| storedIn: |
ArrayExpress
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| qualifier: |
gzip compressed
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| format: |
TXT
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| accessType: |
download
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| authentication: |
none
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| authorization: |
none
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| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-26073/E-GEOD-26073.processed.1.zip |
| storedIn: |
ArrayExpress
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| qualifier: |
gzip compressed
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| format: |
TXT
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| accessType: |
download
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| authentication: |
none
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| authorization: |
none
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| accessURL: | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE26073 |
| storedIn: |
Gene Expression Omnibus
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| qualifier: |
not compressed
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| format: |
HTML
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| accessType: |
landing page
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| primary: |
true
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| authentication: |
none
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| authorization: |
none
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| abbreviation: |
EBI
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| homePage: | http://www.ebi.ac.uk/ |
| ID: |
SCR:004727
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| name: |
European Bioinformatics Institute
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| homePage: | https://www.ebi.ac.uk/arrayexpress/ |
| ID: |
SCR:002964
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| name: |
ArrayExpress
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