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

Justin Lamb; Emily Crawford; D. D. 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

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.

Keywords

GeneComputational biologyDrug discoveryBiologyGene expressionSmall moleculeExpression (computer science)Computer scienceGeneticsBioinformatics

MeSH Terms

Alzheimer DiseaseCell LineCell LineTumorDatabasesFactualDexamethasoneDrug EvaluationPreclinicalDrug ResistanceNeoplasmEnzyme InhibitorsEstrogensGene ExpressionGene Expression ProfilingHSP90 Heat-Shock ProteinsHistone Deacetylase InhibitorsHumansLimoninsObesityOligonucleotide Array Sequence AnalysisPhenothiazinesPrecursor Cell Lymphoblastic Leukemia-LymphomaSirolimusSoftware

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Publication Info

Year: 2006
Type: article
Volume: 313
Issue: 5795
Pages: 1929-1935
Citations: 5304
Access: Closed

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APA Style

                            
                                
                                    Justin Lamb, 
                                
                                    Emily Crawford, 
                                
                                    D. D. Peck
                                
                                et al.
                            
                            (2006). 
                            The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease. 
                            Science
                            , 313
                            (5795)
                            , 1929-1935.
                            https://doi.org/10.1126/science.1132939
                        

Identifiers

DOI: 10.1126/science.1132939
PMID: 17008526

Data Quality

Data completeness: 81%