Arntzen Magnus Ø, Boddie Paul, Frick Rahel, Koehler Christian J, Thiede Bernd
Biotechnology Centre of Oslo, University of Oslo, Oslo, Norway.
Department of Chemistry, Biotechnology, and Food Science, Norwegian University of Life Sciences, Ås, Norway.
Proteomics. 2015 Nov;15(22):3765-71. doi: 10.1002/pmic.201500144. Epub 2015 Oct 26.
Cancer is a class of diseases characterized by abnormal cell growth and one of the major reasons for human deaths. Proteins are involved in the molecular mechanisms leading to cancer, furthermore they are affected by anti-cancer drugs, and protein biomarkers can be used to diagnose certain cancer types. Therefore, it is important to explore the proteomics background of cancer. In this report, we developed the Cancer Proteomics database to re-interrogate published proteome studies investigating cancer. The database is divided in three sections related to cancer processes, cancer types, and anti-cancer drugs. Currently, the Cancer Proteomics database contains 9778 entries of 4118 proteins extracted from 143 scientific articles covering all three sections: cell death (cancer process), prostate cancer (cancer type) and platinum-based anti-cancer drugs including carboplatin, cisplatin, and oxaliplatin (anti-cancer drugs). The detailed information extracted from the literature includes basic information about the articles (e.g., PubMed ID, authors, journal name, publication year), information about the samples (type, study/reference, prognosis factor), and the proteomics workflow (Subcellular fractionation, protein, and peptide separation, mass spectrometry, quantification). Useful annotations such as hyperlinks to UniProt and PubMed were included. In addition, many filtering options were established as well as export functions. The database is freely available at http://cancerproteomics.uio.no.
癌症是一类以细胞异常生长为特征的疾病,是导致人类死亡的主要原因之一。蛋白质参与了引发癌症的分子机制,此外,它们会受到抗癌药物的影响,蛋白质生物标志物可用于诊断某些癌症类型。因此,探索癌症的蛋白质组学背景很重要。在本报告中,我们开发了癌症蛋白质组学数据库,以重新审视已发表的有关癌症的蛋白质组研究。该数据库分为与癌症进程、癌症类型和抗癌药物相关的三个部分。目前,癌症蛋白质组学数据库包含从143篇科学文章中提取的4118种蛋白质的9778条记录,涵盖所有三个部分:细胞死亡(癌症进程)、前列腺癌(癌症类型)以及包括卡铂、顺铂和奥沙利铂在内的铂类抗癌药物(抗癌药物)。从文献中提取的详细信息包括文章的基本信息(如PubMed ID、作者、期刊名称、出版年份)、样本信息(类型、研究/参考文献、预后因素)以及蛋白质组学工作流程(亚细胞分级分离、蛋白质和肽分离、质谱分析、定量)。还包括了诸如指向UniProt和PubMed的超链接等有用注释。此外,还建立了许多筛选选项以及导出功能。该数据库可在http://cancerproteomics.uio.no免费获取。