• Record: found
  • Abstract: found
  • Article: not found

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

Science (New York, N.Y.)

therapeutic use, Alzheimer Disease, pharmacology, Sirolimus, physiopathology, genetics, drug therapy, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Phenothiazines, Oligonucleotide Array Sequence Analysis, Obesity, Limonins, Humans, Histone Deacetylase Inhibitors, antagonists & inhibitors, HSP90 Heat-Shock Proteins, Gene Expression Profiling, drug effects, Gene Expression, Estrogens, Enzyme Inhibitors, Drug Resistance, Neoplasm, methods, Drug Evaluation, Preclinical, Dexamethasone, Databases, Factual, Cell Line, Tumor, Cell Line, Software

Read this article at

      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.


      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.

      Related collections

      Author and article information



      Comment on this article