Tyanova Stefka, Temu Tikira, Carlson Arthur, Sinitcyn Pavel, Mann Matthias, Cox Juergen
Max-Planck-Institute of Biochemistry, Computational Systems Biochemistry, Martinsried, Germany.
Proteomics. 2015 Apr;15(8):1453-6. doi: 10.1002/pmic.201400449. Epub 2015 Mar 5.
Modern software platforms enable the analysis of shotgun proteomics data in an automated fashion resulting in high quality identification and quantification results. Additional understanding of the underlying data can be gained with the help of advanced visualization tools that allow for easy navigation through large LC-MS/MS datasets potentially consisting of terabytes of raw data. The updated MaxQuant version has a map navigation component that steers the users through mass and retention time-dependent mass spectrometric signals. It can be used to monitor a peptide feature used in label-free quantification over many LC-MS runs and visualize it with advanced 3D graphic models. An expert annotation system aids the interpretation of the MS/MS spectra used for the identification of these peptide features.
现代软件平台能够以自动化方式分析鸟枪法蛋白质组学数据,从而产生高质量的鉴定和定量结果。借助先进的可视化工具,可以进一步了解基础数据,这些工具允许轻松浏览大型LC-MS/MS数据集,这些数据集可能包含数TB的原始数据。更新后的MaxQuant版本具有一个图谱导航组件,可引导用户浏览与质量和保留时间相关的质谱信号。它可用于在多次LC-MS运行中监测用于无标记定量的肽特征,并使用先进的3D图形模型对其进行可视化。一个专家注释系统有助于解释用于鉴定这些肽特征的MS/MS谱图。