Guldbrandsen Astrid, Farag Yehia, Kroksveen Ann Cathrine, Oveland Eystein, Lereim Ragnhild R, Opsahl Jill A, Myhr Kjell-Morten, Berven Frode S, Barsnes Harald
From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.
Mol Cell Proteomics. 2017 Feb;16(2):300-309. doi: 10.1074/mcp.O116.064477. Epub 2016 Nov 27.
The rapidly growing number of biomedical studies supported by mass spectrometry based quantitative proteomics data has made it increasingly difficult to obtain an overview of the current status of the research field. A better way of organizing the biomedical proteomics information from these studies and making it available to the research community is therefore called for. In the presented work, we have investigated scientific publications describing the analysis of the cerebrospinal fluid proteome in relation to multiple sclerosis, Parkinson's disease and Alzheimer's disease. Based on a detailed set of filtering criteria we extracted 85 data sets containing quantitative information for close to 2000 proteins. This information was made available in CSF-PR 2.0 (http://probe.uib.no/csf-pr-2.0), which includes novel approaches for filtering, visualizing and comparing quantitative proteomics information in an interactive and user-friendly environment. CSF-PR 2.0 will be an invaluable resource for anyone interested in quantitative proteomics on cerebrospinal fluid.
基于质谱的定量蛋白质组学数据支持的生物医学研究数量迅速增长，这使得全面了解该研究领域的现状变得越来越困难。因此，需要一种更好的方法来整理这些研究中的生物医学蛋白质组学信息，并将其提供给研究界。在本研究中，我们调查了描述与多发性硬化症、帕金森病和阿尔茨海默病相关的脑脊液蛋白质组分析的科学出版物。基于一套详细的筛选标准，我们提取了85个数据集，其中包含近2000种蛋白质的定量信息。这些信息可在CSF-PR 2.0（http://probe.uib.no/csf-pr-2.0）中获取，该平台包括在交互式且用户友好的环境中筛选、可视化和比较定量蛋白质组学信息的新方法。对于任何对脑脊液定量蛋白质组学感兴趣的人来说，CSF-PR 2.0将是一个宝贵的资源。
