The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1929-1935
Number of pages7
JournalScience
Volume313
Issue number5795
DOIs
StatePublished - Sep 29 2006

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease'. Together they form a unique fingerprint.

Cite this