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Science (New York, N.Y.) DOI:10.1126/science.1132939

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

Publication TypeJournal Article
Year of Publication2006
AuthorsLamb, J, Crawford, ED, Peck, D, Modell, JW, Blat, IC, Wrobel, MJ, Lerner, J, Brunet, JP, Subramanian, A, Ross, KN, Reich, M, Hieronymus, H, Wei, G, Armstrong, SA, Haggarty, SJ, Clemons, PA, Wei, R, Carr, SA, Lander, ES, Golub, TR
JournalScience (New York, N.Y.)
Volume313
Issue5795
Pages1929-35
Date Published2006/09/29
ISSN0036-8075
KeywordsAlzheimer Disease, Cancer, Cell Line, Databases, Dexamethasone, Drug Evaluation, Drug Resistance, Enzyme Inhibitors, Estrogens, Factual, Gene Expression, Gene Expression Profiling, Histone Deacetylases, HSP90 Heat-Shock Pr, Neoplasm, Preclinical, Tumor
Abstract

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.

URLhttp://www.sciencemag.org/cgi/pmidlookup?view=long&pmid=17008526
DOI10.1126/science.1132939
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/17008526?dopt=Abstract