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Science 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, J-P, Subramanian, A, Ross, KN, Reich, M, Hieronymus, H, Wei, G, Armstrong, SA, Haggarty, SJ, Clemons, PA, Wei, R, Carr, SA, Lander, ES, Golub, TR
Date Published2006 Sep 29
KeywordsAlzheimer Disease, Cell Line, Cell Line, Tumor, Databases, Factual, Dexamethasone, Drug Evaluation, Preclinical, Drug Resistance, Neoplasm, Enzyme Inhibitors, Estrogens, Gene Expression, Gene Expression Profiling, Histone Deacetylase Inhibitors, HSP90 Heat-Shock Proteins, Humans, Limonins, Obesity, Oligonucleotide Array Sequence Analysis, Phenothiazines, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Sirolimus, Software

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.


Alternate JournalScience
PubMed ID17008526