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.
Pubmed ID: 16381851 RIS Download
Mesh terms: Animals | Computational Biology | Databases, Protein | Gene Expression Profiling | Humans | Internet | Mice | Polymerase Chain Reaction | Receptors, Cytoplasmic and Nuclear | Signal Transduction | Software | Systems Integration | User-Computer Interface
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Knowledge environment resource that accrues, develops, and communicates information that advances understanding of the structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate the roles played by NRs and coregulators in metabolism and the development of metabolic disorders (including type 2 diabetes, obesity, osteoporosis, and lipid dysregulation), as well as in cardiovascular disease, oncology, regenerative medicine and the effects of environmental agents on their actions. Resources include large validated data sets, access to reagents, new findings, a library of annotated prior publications in the field, and journal covering reviews and techniques.
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