rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
5795
|
pubmed:dateCreated |
2006-9-29
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pubmed:abstractText |
To pursue a systematic approach to the discovery of functional connections among diseases, genetic perturbation, and drug action, we have created the first installment of a reference collection of gene-expression profiles from cultured human cells treated with bioactive small molecules, together with pattern-matching software to mine these data. We demonstrate that this "Connectivity Map" resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs. These results indicate the feasibility of the approach and suggest the value of a large-scale community Connectivity Map project.
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pubmed:commentsCorrections |
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pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:chemical |
|
pubmed:status |
MEDLINE
|
pubmed:month |
Sep
|
pubmed:issn |
1095-9203
|
pubmed:author |
pubmed-author:ArmstrongScott ASA,
pubmed-author:BlatIrene CIC,
pubmed-author:BrunetJean-PhilippeJP,
pubmed-author:CarrSteven ASA,
pubmed-author:ClemonsPaul APA,
pubmed-author:CrawfordEmily DED,
pubmed-author:GolubTodd RTR,
pubmed-author:GuoWeiW,
pubmed-author:HaggartyStephen JSJ,
pubmed-author:HieronymusHaleyH,
pubmed-author:LambJustinJ,
pubmed-author:LanderEric SES,
pubmed-author:LernerJimJ,
pubmed-author:ModellJoshua WJW,
pubmed-author:PeckDavidD,
pubmed-author:ReichMichaelM,
pubmed-author:RossKenneth NKN,
pubmed-author:SubramanianAravindA,
pubmed-author:WrobelMatthew JMJ,
pubmed-author:YUY KYK
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pubmed:issnType |
Electronic
|
pubmed:day |
29
|
pubmed:volume |
313
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
1929-35
|
pubmed:dateRevised |
2009-11-19
|
pubmed:meshHeading |
pubmed-meshheading:17008526-Alzheimer Disease,
pubmed-meshheading:17008526-Cell Line,
pubmed-meshheading:17008526-Cell Line, Tumor,
pubmed-meshheading:17008526-Databases, Factual,
pubmed-meshheading:17008526-Dexamethasone,
pubmed-meshheading:17008526-Drug Evaluation, Preclinical,
pubmed-meshheading:17008526-Drug Resistance, Neoplasm,
pubmed-meshheading:17008526-Enzyme Inhibitors,
pubmed-meshheading:17008526-Estrogens,
pubmed-meshheading:17008526-Gene Expression,
pubmed-meshheading:17008526-Gene Expression Profiling,
pubmed-meshheading:17008526-HSP90 Heat-Shock Proteins,
pubmed-meshheading:17008526-Histone Deacetylase Inhibitors,
pubmed-meshheading:17008526-Humans,
pubmed-meshheading:17008526-Limonins,
pubmed-meshheading:17008526-Obesity,
pubmed-meshheading:17008526-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:17008526-Phenothiazines,
pubmed-meshheading:17008526-Precursor Cell Lymphoblastic Leukemia-Lymphoma,
pubmed-meshheading:17008526-Sirolimus,
pubmed-meshheading:17008526-Software
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pubmed:year |
2006
|
pubmed:articleTitle |
The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.
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pubmed:affiliation |
Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA. justin@broad.mit.edu
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
|