The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
Broad Institute · Boston Children's Hospital · +5 more institutions
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.
Citation impact
- FWCI
- 46.07
- Percentile
- 100%
- References
- 41
Authors
20- JLJustin LambCorresponding
Broad Institute, Boston Children's Hospital, Harvard University, Massachusetts General Hospital, Center for Human Genetics, Dana-Farber Cancer Institute, Massachusetts Institute of Technology
- ECEmily CrawfordCorresponding
Broad Institute, Boston Children's Hospital, Harvard University, Massachusetts General Hospital, Center for Human Genetics, Dana-Farber Cancer Institute, Massachusetts Institute of Technology
- DDD. D. Peck
Broad Institute, Boston Children's Hospital, Harvard University, Massachusetts General Hospital, Center for Human Genetics, Dana-Farber Cancer Institute, Massachusetts Institute of Technology
- JWJoshua W. Modell
Broad Institute, Boston Children's Hospital, Harvard University, Massachusetts General Hospital, Center for Human Genetics, Dana-Farber Cancer Institute, Massachusetts Institute of Technology
- ICIrene C. Blat
Broad Institute, Boston Children's Hospital, Harvard University, Massachusetts General Hospital, Center for Human Genetics, Dana-Farber Cancer Institute, Massachusetts Institute of Technology
Topics & keywords
- Gene
- Computational biology
- Drug discovery
- Biology
- Gene expression
- Small molecule
- Expression (computer science)
- Computer science