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The Nuclear Receptor Signaling Atlas: Development of a Functional Atlas of Nuclear Receptors

National Institute of Diabetes and Digestive and Kidney Diseases (R.N.M.), National Institutes of Health, Bethesda, Maryland 20892; The Salk Institute (R.M.E.), La Jolla, California 92037; and Baylor College of Medicine (B.W.O.), Houston, Texas 77030

Address all correspondence and requests for reprints to: Ronald N. Margolis, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Endocrinology, 6707 Democracy Boulevard, Bethesda, Maryland 20892-6600. E-mail rm76f{at}nih.gov.

The Nuclear Receptor Signaling Atlas (NURSA) was developed by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the National Institute on Aging (NIA), and the National Cancer Institute (NCI) of the National Institutes of Health (NIH); the aim of NURSA is to utilize classical approaches to validate existing hypotheses and exploit new and emerging technologies to formulate and test new hypotheses that might elucidate the program of nuclear receptor (NR) structure, function, and role in disease. The means for carrying out this ambitious program required development of interactions among investigators and the combined application of new high-throughput technologies and existing approaches to allow for both mechanistic studies and accrual of large datasets in a discovery-based research effort, all leading to advances with implications for the missions of the NIDDK, NIA, and NCI. A team-based multidisciplinary approach has allowed for both objectives to proceed simultaneously, tied together via a central bioinformatics resource and one web-accessible venue (www.nursa.org). The ultimate goals for the NURSA consortium are to: 1) establish the mechanistic principles of NR function, 2) characterize NR-coregulator complex formation and regulation, 3) map protein-protein interactions for coregulators, 4) identify candidate downstream target genes of NR action, 5) identify target tissue expression of NRs, 6) understand the regulation of NR expression and, 7) integrate existing and emerging information through NURSA bioinformatics tools.

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