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

Publication TypeJournal Article
AuthorsLamb, Justin, Crawford Emily D., Peck David, Modell Joshua W., Blat Irene C., Wrobel Matthew J., Lerner Jim, Brunet Jean-Philippe, Subramanian Aravind, Ross Kenneth N., Reich Michael, Hieronymus Haley, Wei Guo, Armstrong Scott A., Haggarty Stephen J., and Clemons Pau
AbstractTo 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.
Year of Publication2006
JournalScience (New York, N.Y.)
Volume313
Issue5795
Pages1929 - 35
Date Published (YYYY/MM/DD)2006/09/29/
ISBN Number1095-9203
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