Raaijmakers Linsey M, Giansanti Piero, Possik Patricia A, Mueller Judith, Peeper Daniel S, Heck Albert J R, Altelaar A F Maarten
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University , Padualaan 8, 3584 CH Utrecht, The Netherlands.
Netherlands Proteomics Center , Padualaan 8, 3584 CH Utrecht, The Netherlands.
J Proteome Res. 2015 Oct 2;14(10):4332-41. doi: 10.1021/acs.jproteome.5b00529. Epub 2015 Sep 8.
Protein phosphorylation is an essential post-translational modification (PTM) regulating many biological processes at the cellular and multicellular level. Continuous improvements in phosphoproteomics technology allow the analysis of this PTM in an expanding biological content, yet up until now proteome data visualization tools are still very gene centric, hampering the ability to comprehensively map and study PTM dynamics. Here we present PhosphoPath, a Cytoscape app designed for the visualization and analysis of quantitative proteome and phosphoproteome data sets. PhosphoPath brings knowledge into the biological network by importing publically available data and enables PTM site-specific visualization of information from quantitative time series. To showcase PhosphoPath performance we use a quantitative proteomics data set comparing patient-derived melanoma cell lines grown in either conventional cell culture or xenografts.
蛋白质磷酸化是一种重要的翻译后修饰(PTM),在细胞和多细胞水平上调节许多生物学过程。磷酸化蛋白质组学技术的不断改进使得能够在不断扩展的生物学内容中分析这种PTM,但直到现在,蛋白质组数据可视化工具仍然非常以基因为中心,这阻碍了全面绘制和研究PTM动态的能力。在这里,我们展示了PhosphoPath,这是一个用于可视化和分析定量蛋白质组和磷酸化蛋白质组数据集的Cytoscape应用程序。PhosphoPath通过导入公开可用的数据将知识带入生物网络,并能够对来自定量时间序列的信息进行PTM位点特异性可视化。为了展示PhosphoPath的性能,我们使用了一个定量蛋白质组学数据集,比较了在传统细胞培养或异种移植中生长的患者来源的黑色素瘤细胞系。