Chalkley Robert J, Baker Peter R, Medzihradszky Katalin F, Lynn Aenoch J, Burlingame A L
Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158-2517, USA.
Mol Cell Proteomics. 2008 Dec;7(12):2386-98. doi: 10.1074/mcp.M800021-MCP200. Epub 2008 Jul 24.
Mass spectrometric analyses of protein digests produce large numbers of fragmentation spectra that are not identified by routine database searching strategies. Some of these spectra could be identified by development of improved search engines. However, many of these spectra represent fragmentation of peptide components bearing modifications that are not routinely considered in database searches. Here we present new software within Protein Prospector that allows comprehensive analysis of data sets by analyzing the data at increasing levels of depth. Analysis of published data sets is presented to illustrate that the software is not biased to any instrument types. The results show that these data sets contain many modified peptides. As well as searching for known modification types, Protein Prospector permits the detection and identification of unexpected or novel modifications by searching for any mass shift within a user-specified mass range to any chosen amino acid(s). Several modifications never previously reported in proteomics data were identified in these standard data sets using this mass modification searching approach.
蛋白质消化产物的质谱分析会产生大量常规数据库搜索策略无法识别的碎片谱图。其中一些谱图可通过改进搜索引擎来识别。然而,这些谱图中的许多代表了带有修饰的肽成分的碎片化,而数据库搜索通常不会考虑这些修饰。在此,我们展示了蛋白质探勘者(Protein Prospector)中的新软件,该软件通过在不断增加的深度水平上分析数据,从而实现对数据集的全面分析。对已发表数据集的分析表明,该软件对任何仪器类型均无偏向性。结果显示,这些数据集包含许多修饰肽。除了搜索已知的修饰类型外,蛋白质探勘者还允许通过在用户指定的质量范围内搜索到任何选定氨基酸的任何质量偏移,来检测和识别意外或新的修饰。使用这种质量修饰搜索方法,在这些标准数据集中鉴定出了一些此前在蛋白质组学数据中从未报道过的修饰。