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Departments of Molecular and Cellular Biology (N.J.M., A.J.C., F.J.D., R.B.L., D.D.M., M.-J.T., S.Y.T., B.W.O.) and Biochemistry (J.Q.) and The Bioinformatics Research Center (D.L.S.), Baylor College of Medicine, Houston, Texas 77030; Cellular and Molecular Medicine (C.K.G.), University of California San Diego, San Diego California 92093; Division of Endocrinology, Diabetes, and Metabolism (M.A.L.), University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Pharmacology (D.J.M.), University of Texas Southwestern Medical Center, Dallas Texas 75390; Division of Diabetes, Endocrinology, and Metabolic Diseases (R.N.M.), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892; and Gene Expression Laboratory (M.D., R.Y., R.M.E.), The Salk Institute, La Jolla, California 92037
Address all correspondence and requests for reprints to: Bert W. OMalley, M.D., Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030. E-mail: berto{at}bcm.edu; or Ronald M. Evans, Ph.D., Gene Expression Laboratory, The Salk Institute, 10010 North Torrey Pines Road, La Jolla, California 92037. E-mail: evans{at}salk.edu.
Nuclear receptors and coregulators are multifaceted players in normal metabolic and homeostatic processes in addition to a variety of disease states including cancer, inflammation, diabetes, obesity, and atherosclerosis. Over the past 7 yr, the Nuclear Receptor Signaling Atlas (NURSA) research consortium has worked toward establishing a discovery-driven platform designed to address key questions concerning the expression, organization, and function of these molecules in a variety of experimental model systems. By applying powerful technologies such as quantitative PCR, high-throughput mass spectrometry, and embryonic stem cell manipulation, we are pursuing these questions in a series of transcriptomics-, proteomics-, and metabolomics-based research projects and resources. The consortiums web site (www.nursa.org) integrates NURSA datasets and existing public datasets with the ultimate goal of furnishing the bench scientist with a comprehensive framework for hypothesis generation, modeling, and testing. We place a strong emphasis on community input into the development of this resource and to this end have published datasets from academic and industrial laboratories, established strategic alliances with Endocrine Society journals, and are developing tools to allow web site users to act as data curators. With the ongoing support of the nuclear receptor and coregulator signaling communities, we believe that NURSA can make a lasting contribution to research in this dynamic field.
NURSA Molecule Pages Link:
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