Lamb J, Crawford ED, Peck D, Modell JW, Blat IC, Wrobel MJ, Lerner J, Brunet JP, Subramanian A, Ross KN, et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science. 2006;313:1929–35.
NOTES
Lamb, JustinCrawford, Emily DPeck, DavidModell, Joshua WBlat, Irene CWrobel, Matthew JLerner, JimBrunet, Jean-PhilippeSubramanian, AravindRoss, Kenneth NReich, MichaelHieronymus, HaleyWei, GuoArmstrong, Scott AHaggarty, Stephen JClemons, Paul AWei, RuCarr, Steven ALander, Eric SGolub, Todd RengResearch Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov'tScience. 2006 Sep 29;313(5795):1929-35. doi: 10.1126/science.1132939.
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.
Last updated on 02/17/2021