Lanz Rainer B, Jericevic Zeljko, Zuercher William J, Watkins Chris, Steffen David L, Margolis Ronald, McKenna Neil J
Department of Molecular and Cellular Biology, M602, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
Nucleic Acids Res. 2006 Jan 1;34(Database issue):D221-6. doi: 10.1093/nar/gkj029.
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.
核受体信号传导(NRS)领域已产生了大量关于核受体、其配体和共调节因子的信息,最终目标是构建这些分子生物学和临床意义的连贯模型。作为核受体信号传导图谱(NURSA)——核受体生物学功能图谱的开发——的一个组成部分,NURSA生物信息学资源正在制定一项战略,将关于这些分子的既有信息和未来信息整合到一个基于网络的单一资源(www.nursa.org)中。这需要并行开展以下工作:(i)开发一个合适的软件框架来处理来自NURSA实验室的数据集;(ii)设计管理和呈现与NRS相关的公共数据的策略。为了说明我们的方法,我们在此详细描述了NURSA定量PCR核受体表达数据集基于网络界面的开发,其中纳入了生物信息学分析,该分析为这些分子之间的功能关系提供了新的视角。我们预计,社区能够免费开放获取一个用于数据挖掘和假设生成策略的平台,将对该领域的研究进展做出重大贡献。