Bach Institute of Biochemistry, Russian Academy of Sciences.
Acta Naturae. 2010 Oct;2(4):95-104.
A database of Prostate Cancer Proteomics has been created by using the results of a proteomic study of human prostate carcinoma and benign hyperplasia tissues, and of some human-cultured cell lines (PCP, http://ef.inbi.ras.ru). PCP consists of 7 interrelated modules, each containing four levels of proteomic and biomedical data on the proteins in corresponding tissues or cells. The first data level, onto which each module is based, is a 2DE proteomic reference map where proteins separated by 2D electrophoresis, and subsequently identified by mass-spectrometry, are marked. The results of proteomic experiments form the second data level. The third level contains protein data from published articles and existing databases. The fourth level is formed with direct Internet links to the information on corresponding proteins in the NCBI and UniProt databases. PCP contains data on 359 proteins in total, including 17 potential biomarkers of prostate cancer, particularly AGR2, annexins, S100 proteins, PRO2675, and PRO2044. The database will be useful in a wide range of applications, including studies of molecular mechanisms of the aetiology and pathogenesis of prostate diseases, finding new diagnostic markers, etc.
已创建一个前列腺癌蛋白质组学数据库,该数据库使用人类前列腺癌和良性增生组织的蛋白质组学研究结果以及一些人培养的细胞系(PCP,http://ef.inbi.ras.ru)创建。PCP 由 7 个相互关联的模块组成,每个模块包含对应组织或细胞中蛋白质的 4 个层次的蛋白质组学和生物医学数据。每个模块所基于的第一个数据层是 2DE 蛋白质组学参考图谱,其中通过 2D 电泳分离的蛋白质,并随后通过质谱鉴定进行标记。蛋白质组学实验的结果构成了第二个数据层。第三个层次包含来自已发表文章和现有数据库的蛋白质数据。第四个层次是通过直接的互联网链接形成的,链接到 NCBI 和 UniProt 数据库中对应蛋白质的信息。PCP 总共包含 359 种蛋白质的数据,包括 17 种前列腺癌的潜在生物标志物,特别是 AGR2、膜联蛋白、S100 蛋白、PRO2675 和 PRO2044。该数据库将在广泛的应用中非常有用,包括研究前列腺疾病病因和发病机制的分子机制、寻找新的诊断标志物等。