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This version published online on July 28, 2005
Molecular Endocrinology, doi:10.1210/me.2004-0461
A more recent version of this article appeared on October 1, 2005
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Submitted on November 16, 2004
Accepted on July 6, 2005

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

Ronald N. Margolis*, Ronald M. Evans, Bert W. O'Malley, and Nursa Atlas Consortium

National Institute of Diabetes and Digestive and Kidney Diseases, NIH; Salk Institute; Baylor College of Medicine

* To whom correspondence should be addressed. 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, the National Institute on Aging, and the National Cancer Institute of the NIH to utilize classical approaches to validate existing hypotheses and exploit new and emerging technologies to formulate and test new hypotheses to elucidate the program of Nuclear Receptor structure, function and role in disease. The means for carrying out this ambitious program required development of interactions among investigators, 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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