The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

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 wit...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Science (American Association for the Advancement of Science) 2006-09, Vol.313 (5795), p.1929-1935
Hauptverfasser: Lamb, 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., Clemons, Paul A., Wei, Ru, Carr, Steven A., Lander, Eric S., Golub, Todd R.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:0036-8075
1095-9203
DOI:10.1126/science.1132939