Major Sylvia M, Nishizuka Satoshi, Morita Daisaku, Rowland Rick, Sunshine Margot, Shankavaram Uma, Washburn Frank, Asin Daniel, Kouros-Mehr Hosein, Kane David, Weinstein John N
Genomics and Bioinformatics Group, Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, USA.
BMC Bioinformatics. 2006 Apr 6;7:192. doi: 10.1186/1471-2105-7-192.
Monoclonal antibodies are used extensively throughout the biomedical sciences for detection of antigens, either in vitro or in vivo. We, for example, have used them for quantitation of proteins on "reverse-phase" protein lysate arrays. For those studies, we quality-controlled > 600 available monoclonal antibodies and also needed to develop precise information on the genes that encode their antigens. Translation among the various protein and gene identifier types proved non-trivial because of one-to-many and many-to-one relationships. To organize the antibody, protein, and gene information, we initially developed a relational database in Filemaker for our own use. When it became apparent that the information would be useful to many other researchers faced with the need to choose or characterize antibodies, we developed it further as AbMiner, a fully relational web-based database under MySQL, programmed in Java.
AbMiner is a user-friendly, web-based relational database of information on > 600 commercially available antibodies that we validated by Western blot for protein microarray studies. It includes many types of information on the antibody, the immunogen, the vendor, the antigen, and the antigen's gene. Multiple gene and protein identifier types provide links to corresponding entries in a variety of other public databases, including resources for phosphorylation-specific antibodies. AbMiner also includes our quality-control data against a pool of 60 diverse cancer cell types (the NCI-60) and also protein expression levels for the NCI-60 cells measured using our high-density "reverse-phase" protein lysate microarrays for a selection of the listed antibodies. Some other available database resources give information on antibody specificity for one or a couple of cell types. In contrast, the data in AbMiner indicate specificity with respect to the antigens in a pool of 60 diverse cell types from nine different tissues of origin.
AbMiner is a relational database that provides extensive information from our own laboratory and other sources on more than 600 available antibodies and the genes that encode the antibodies' antigens. The data will be made freely available at http://discover.nci.nih.gov/abminer.
单克隆抗体在整个生物医学领域被广泛用于体外或体内抗原的检测。例如,我们已将它们用于“反相”蛋白质裂解物阵列上蛋白质的定量分析。对于那些研究,我们对600多种可用的单克隆抗体进行了质量控制,并且还需要获取编码其抗原的基因的精确信息。由于存在一对多和多对一的关系,各种蛋白质和基因标识符类型之间的转换并非易事。为了整理抗体、蛋白质和基因信息,我们最初在Filemaker中开发了一个关系数据库供自己使用。当明显发现该信息对许多面临选择或鉴定抗体需求的其他研究人员有用时,我们将其进一步开发为AbMiner,这是一个基于MySQL的完全关系型网络数据库,用Java编写。
AbMiner是一个用户友好的基于网络的关系数据库,包含600多种市售抗体的信息,这些抗体我们通过蛋白质微阵列研究的蛋白质印迹法进行了验证。它包括关于抗体、免疫原、供应商、抗原以及抗原基因的多种信息类型。多种基因和蛋白质标识符类型提供了到各种其他公共数据库中相应条目的链接,包括磷酸化特异性抗体的资源。AbMiner还包括我们针对60种不同癌细胞系(NCI - 60)的质量控制数据,以及使用我们的高密度“反相”蛋白质裂解物微阵列针对所选列出抗体测量的NCI - 60细胞的蛋白质表达水平。其他一些可用的数据库资源提供了关于一种或几种细胞类型的抗体特异性信息。相比之下,AbMiner中的数据表明了针对来自九个不同组织来源的60种不同细胞系中抗原的特异性。
AbMiner是一个关系数据库,它提供了来自我们自己实验室和其他来源的关于600多种可用抗体以及编码抗体抗原的基因的广泛信息。这些数据将在http://discover.nci.nih.gov/abminer上免费提供。