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Nucleic Acids Research 2006 34(Database Issue):D221-D226; doi:10.1093/nar/gkj029
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Nucleic Acids Research, 2006, Vol. 34, Database issue D221-D226
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

Nuclear Receptor Signaling Atlas (www.nursa.org): hyperlinking the nuclear receptor signaling community

Rainer B. Lanz*, Zeljko Jericevic, William J. Zuercher2, Chris Watkins, David L. Steffen1, Ronald Margolis3 and Neil J. McKenna

Department of Molecular and Cellular Biology, M602, Baylor College of Medicine One Baylor Plaza, Houston, TX 77030, USA 1Department Molecular and Human Genetics, M620, Baylor College of Medicine One Baylor Plaza, Houston, TX 77030, USA 2Discovery Research Chemistry, GlaxoSmithKline Five Moore Drive, NTH-M2127, RTP, NC 27709-3398, USA 3Division, of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health Democracy 2, Room 693, 6707 Democracy Blvd, Bethesda, MD 20892-5460, USA

*To whom correspondence should be addressed for Data coordination, database schema and data analysis models. Tel: +1 713 798 6478; Fax: +1 713 790 1275; Email: rlanz{at}bcm.tmc.edu

Received August 15, 2005. Revised September 22, 2005. Accepted September 22, 2005.

The nuclear receptor signaling (NRS) field has generated a substantial body of information on nuclear receptors, their ligands and coregulators, with the ultimate goal of constructing coherent models of the biological and clinical significance of these molecules. As a component of the Nuclear Receptor Signaling Atlas (NURSA)—the development of a functional atlas of nuclear receptor biology—the NURSA Bioinformatics Resource is developing a strategy to organize and integrate legacy and future information on these molecules in a single web-based resource (www.nursa.org). This entails parallel efforts of (i) developing an appropriate software framework for handling datasets from NURSA laboratories and (ii) designing strategies for the curation and presentation of public data relevant to NRS. To illustrate our approach, we have described here in detail the development of a web-based interface for the NURSA quantitative PCR nuclear receptor expression dataset, incorporating bioinformatics analysis which provides novel perspectives on functional relationships between these molecules. We anticipate that the free and open access of the community to a platform for data mining and hypothesis generation strategies will be a significant contribution to the progress of research in this field.

Correspondence may also be addressed to Neil McKenna for Electronic publishing and community and journal interactions. Tel: +1 713 798 8568; Fax: +1 713 790 1275; Email: nmckenna{at}bcm.tmc.edu


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