TY - JOUR
T1 - Minireview
T2 - Evolution of NURSA, the Nuclear Receptor Signaling Atlas
AU - McKenna, Neil J.
AU - Cooney, Austin J.
AU - Demayo, Francesco J.
AU - Downes, Michael
AU - Glass, Christopher K.
AU - Lanz, Rainer B.
AU - Lazar, Mitchell A.
AU - Mangelsdorf, David J.
AU - Moore, David D.
AU - Qin, Jun
AU - Steffen, David L.
AU - Tsai, Ming Jer
AU - Tsai, Sophia Y.
AU - Yu, Ruth
AU - Margolis, Ronald N.
AU - Evans, Ronald M.
AU - O'Malley, Bert W.
PY - 2009/6
Y1 - 2009/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=66449088364&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=66449088364&partnerID=8YFLogxK
U2 - 10.1210/me.2009-0135
DO - 10.1210/me.2009-0135
M3 - Short survey
C2 - 19423650
AN - SCOPUS:66449088364
SN - 0888-8809
VL - 23
SP - 740
EP - 746
JO - Molecular Endocrinology
JF - Molecular Endocrinology
IS - 6
ER -