RT Journal Article SR Electronic T1 Mapping Biological Connectivity JF Science's STKE JO Sci. STKE FD American Association for the Advancement of Science SP tw343 OP tw343 DO 10.1126/stke.3552006tw343 VO 2006 IS 355 A1 Jasny, Barbara R. YR 2006 UL http://stke.sciencemag.org/content/2006/355/tw343.abstract AB Comprehensive catalogs of biological information (such as sequence or protein structure data) can have enormous utility in biomedical research. Lamb et al. have extended this approach to create comprehensive catalogs of cellular states, as defined by RNA expression. The effects of 164 small molecules on the complete messenger RNA expression profiles were examined in established cell lines, with a primary focus on a breast cancer epithelial cell line. By comparing the genomic signature of drug candidates (the anticancer drug gedunin, estrogen, histone deacetylase, and phenothiazine antipyschotics) or a disease state (obesity, Alzheimer’s disease, and dexamethasone-resistant acute lymphoblastic leukemia) to this resource, it was possible to identify potential mechanisms of action, confirm previous applications of known drugs, and identify additional potential uses for known drugs. J. Lamb, E. D. Crawford, D. Peck, J. W. Modell, I. C. Blat, M. J. Wrobel, J. Lerner, J.-P. Brunet, A. Subramanian, K. N. Ross, M. Reich, H. Hieronymus, G. Wei, S. A. Armstrong, S. J. Haggarty, P. A. Clemons, R. Wei, S. A. Carr, E. S. Lander, T. R. Golub, The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease. Science 313, 1929-1935 (2006). [Abstract] [Full Text]