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

@article{citeulike:880918, 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.}, address = {Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA. justin@broad.mit.edu}, author = {Lamb, J. and Crawford, E. D. and Peck, D. and Modell, J. W. and Blat, I. C. and Wrobel, M. J. and Lerner, J. and Brunet, J. P. and Subramanian, A. and Ross, K. N. and Reich, M. and Hieronymus, H. and Wei, G. and Armstrong, S. A. and Haggarty, S. J. and Clemons, P. A. and Wei, R. and Carr, S. A. and Lander, E. S. and Golub, T. R. }, citeulike-article-id = {880918}, doi = {http://dx.doi.org/10.1126/science.1132939}, issn = {1095-9203}, journal = {Science}, keywords = {expression, networks, phenotype}, month = {September}, number = {5795}, pages = {1929--1935}, posted-at = {2006-10-07 00:27:53}, priority = {4}, title = {The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.}, url = {http://dx.doi.org/10.1126/science.1132939}, volume = {313}, year = {2006} }

TY - JOUR ID - citeulike:880918 L3 - citeulike-article-id:880918 TI - The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. JF - Science VL - 313 IS - 5795 SP - 1929 EP - 1935 AD - Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA. justin@broad.mit.edu SN - 1095-9203 N2 - 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. KW - expression KW - networks KW - phenotype AU - Lamb, J AU - Crawford, ED AU - Peck, D AU - Modell, JW AU - Blat, IC AU - Wrobel, MJ AU - Lerner, J AU - Brunet, JP AU - Subramanian, A AU - Ross, KN AU - Reich, M AU - Hieronymus, H AU - Wei, G AU - Armstrong, SA AU - Haggarty, SJ AU - Clemons, PA AU - Wei, R AU - Carr, SA AU - Lander, ES AU - Golub, TR PY - 2006/09/29/ UR - http://dx.doi.org/10.1126/science.1132939 ER -