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Minireview: Evolution of NURSA, the Nuclear Receptor Signaling Atlas
Author(s) -
Neil J. McKenna,
Austin J. Cooney,
Francesco J. DeMayo,
Michael Downes,
Christopher K. Glass,
Rainer B. Lanz,
Mitchell A. Lazar,
David J. Mangelsdorf,
David D. Moore,
Jun Qin,
David L. Steffen,
MingJer Tsai,
Sophia Y. Tsai,
Ruth T. Yu,
Ron Margolis,
Ronald M. Evans,
Bert W. O’Malley
Publication year - 2009
Publication title -
molecular endocrinology
Language(s) - English
Resource type - Journals
eISSN - 1944-9917
pISSN - 0888-8809
DOI - 10.1210/me.2009-0135
Subject(s) - biology , nuclear receptor , variety (cybernetics) , computational biology , data science , resource (disambiguation) , bioinformatics , transcription factor , computer science , genetics , computer network , artificial intelligence , gene
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 consortium's 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.

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