Pan Fei, Chiu Chi-Hsien, Pulapura Sudip, Mehan Michael R, Nunez-Iglesias Juan, Zhang Kangyu, Kamath Kiran, Waterman Michael S, Finch Caleb E, Zhou Xianghong Jasmine
Department of Biological Sciences, University of Southern California Los Angeles, CA 90089, USA.
Nucleic Acids Res. 2007 Jan;35(Database issue):D756-9. doi: 10.1093/nar/gkl798. Epub 2006 Nov 7.
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging-related expression patterns in multiple organisms and under different conditions. The number of relevant studies continues to increase rapidly. However, efficient exploitation of these vast data is frustrated by the lack of an integrated data mining platform or other unifying bioinformatic resource to enable convenient cross-laboratory searches of array signals. To facilitate the integrative analysis of microarray data on aging, we developed a web database and analysis platform 'Gene Aging Nexus' (GAN) that is freely accessible to the research community to query/analyze/visualize cross-platform and cross-species microarray data on aging. By providing the possibility of integrative microarray analysis, GAN should be useful in building the systems-biology understanding of aging. GAN is accessible at http://gan.usc.edu.
微阵列技术的最新发展为理解衰老的遗传基础提供了前所未有的机遇。到目前为止,许多微阵列研究已经探讨了多种生物体在不同条件下与衰老相关的表达模式。相关研究的数量持续快速增长。然而,由于缺乏一个集成的数据挖掘平台或其他统一的生物信息资源来方便地进行跨实验室的阵列信号搜索,这些海量数据的有效利用受到了阻碍。为了促进对衰老微阵列数据的综合分析,我们开发了一个网络数据库和分析平台“基因衰老关联”(GAN),研究界可以免费访问该平台,以查询/分析/可视化关于衰老的跨平台和跨物种微阵列数据。通过提供综合微阵列分析的可能性,GAN应该有助于构建对衰老的系统生物学理解。可通过http://gan.usc.edu访问GAN。