Xu Zhaowei, Huang Likun, Zhang Hainan, Li Yang, Guo Shujuan, Wang Nan, Wang Shi-Hua, Chen Ziqing, Wang Jingfang, Tao Sheng-Ce
Key Laboratory of Systems Biomedicine, Ministry of Education, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.
Sci Rep. 2016 Jan 27;6:19956. doi: 10.1038/srep19956.
Protein microarray is a powerful technology for both basic research and clinical study. However, because there is no database specifically tailored for protein microarray, the majority of the valuable original protein microarray data is still not publically accessible. To address this issue, we constructed Protein Microarray Database (PMD), which is specifically designed for archiving and analyzing protein microarray data. In PMD, users can easily browse and search the entire database by experimental name, protein microarray type, and sample information. Additionally, PMD integrates several data analysis tools and provides an automated data analysis pipeline for users. With just one click, users can obtain a comprehensive analysis report for their protein microarray data. The report includes preliminary data analysis, such as data normalization, candidate identification, and an in-depth bioinformatics analysis of the candidates, which include functional annotation, pathway analysis, and protein-protein interaction network analysis. PMD is now freely available at www.proteinmicroarray.cn.
蛋白质微阵列技术对于基础研究和临床研究而言都是一项强大的技术。然而，由于没有专门为蛋白质微阵列量身定制的数据库，大多数有价值的原始蛋白质微阵列数据仍然无法公开获取。为了解决这一问题，我们构建了蛋白质微阵列数据库（PMD），该数据库是专门为存档和分析蛋白质微阵列数据而设计的。在PMD中，用户可以通过实验名称、蛋白质微阵列类型和样本信息轻松浏览和搜索整个数据库。此外，PMD整合了多种数据分析工具，并为用户提供了自动化的数据分析流程。只需一键点击，用户就能获得其蛋白质微阵列数据的综合分析报告。该报告包括初步数据分析，如数据归一化、候选物识别，以及对候选物的深入生物信息学分析，其中包括功能注释、通路分析和蛋白质 - 蛋白质相互作用网络分析。PMD现可在www.proteinmicroarray.cn上免费获取。
