Institute of Biochemistry & Molecular Biology, National Yang-Ming University, Taipei, 112, Taiwan.
Department of Life Science & Institute of Genome Science, National Yang-Ming University, Taipei, 112, Taiwan.
Anal Chim Acta. 2015 Sep 10;892:115-22. doi: 10.1016/j.aca.2015.07.032. Epub 2015 Aug 10.
It has been observed that a modified peptide and its non-modified counterpart, when analyzed with reverse phase liquid chromatography, usually share a very similar elution property [1-3]. Inasmuch as this property is common to many different types of protein modifications, we propose an informatics-based approach, featuring the generation of segmental average mass spectra ((sa)MS), that is capable of locating different types of modified peptides in two-dimensional liquid chromatography-mass spectrometric (LC-MS) data collected for regular protease digests from proteins in gels or solutions. To enable the localization of these peptides in the LC-MS map, we have implemented a set of computer programs, or the (sa)MS package, that perform the needed functions, including generating a complete set of segmental average mass spectra, compiling the peptide inventory from the Sequest/TurboSequest results, searching modified peptide candidates and annotating a tandem mass spectrum for final verification. Using ROCK2 as an example, our programs were applied to identify multiple types of modified peptides, such as phosphorylated and hexosylated ones, which particularly include those peptides that could have been ignored due to their peculiar fragmentation patterns and consequent low search scores. Hence, we demonstrate that, when complemented with peptide search algorithms, our approach and the entailed computer programs can add the sequence information needed for bolstering the confidence of data interpretation by the present analytical platforms and facilitate the mining of protein modification information out of complicated LC-MS/MS data.
已经观察到,经反相液相色谱分析,修饰肽与其非修饰对应物通常具有非常相似的洗脱性质[1-3]。由于这种性质是许多不同类型的蛋白质修饰所共有的,因此我们提出了一种基于信息学的方法,其特点是生成分段平均质谱((sa)MS),能够在二维液相色谱-质谱(LC-MS)数据中定位凝胶或溶液中蛋白质常规蛋白酶消化产生的不同类型的修饰肽。为了能够在 LC-MS 图谱中定位这些肽,我们已经实现了一组计算机程序,即(sa)MS 包,该程序执行所需的功能,包括生成完整的分段平均质谱、从 Sequest/TurboSequest 结果编译肽清单、搜索修饰肽候选物并注释串联质谱以进行最终验证。以 ROCK2 为例,我们的程序被应用于鉴定多种类型的修饰肽,如磷酸化和己糖基化肽,其中特别包括由于其特殊的碎片模式和随之而来的低搜索得分而可能被忽略的那些肽。因此,我们证明,当与肽搜索算法结合使用时,我们的方法和相关的计算机程序可以提供当前分析平台所需的序列信息,以增强数据解释的置信度,并有助于从复杂的 LC-MS/MS 数据中挖掘蛋白质修饰信息。