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DOI: 10.1126/science.1132939
OpenAccess: Closed
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The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

Justin Lamb,Emily Crawford,Donald J. Peck,Joshua W. Modell,Irene C. Blat,Matthew J. Wrobel,Jim Lerner,Jean Philippe Brunet,Aravind Subramanian,Kenneth N. Ross,Michael Reich,Haley Hieronymus,Wei Guo,Scott A. Armstrong,Stephen J. Haggarty,Paul A. Clemons,Ru Wei,Steven A. Carr,Eric S. Lander,Todd R. Golub

Gene
Computational biology
Drug discovery
2006
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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    The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease” is a paper by Justin Lamb Emily Crawford Donald J. Peck Joshua W. Modell Irene C. Blat Matthew J. Wrobel Jim Lerner Jean Philippe Brunet Aravind Subramanian Kenneth N. Ross Michael Reich Haley Hieronymus Wei Guo Scott A. Armstrong Stephen J. Haggarty Paul A. Clemons Ru Wei Steven A. Carr Eric S. Lander Todd R. Golub published in 2006. It has an Open Access status of “closed”. You can read and download a PDF Full Text of this paper here.