Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
Mol Cell Proteomics. 2023 May;22(5):100538. doi: 10.1016/j.mcpro.2023.100538. Epub 2023 Mar 31.
Posttranslational modifications of proteins play essential roles in defining and regulating the functions of the proteins they decorate, making identification of these modifications critical to understanding biology and disease. Methods for enriching and analyzing a wide variety of biological and chemical modifications of proteins have been developed using mass spectrometry-based proteomics, largely relying on traditional database search methods to identify the resulting mass spectra of modified peptides. These database search methods treat modifications as static attachments of a mass to particular position in the peptide sequence, but many modifications undergo fragmentation in tandem mass spectrometry experiments alongside, or instead of, the peptide backbone. While this fragmentation can confound traditional search methods, it also offers unique opportunities for improved searches that incorporate modification-specific fragment ions. Here, we present a new labile mode in the MSFragger search engine that provides the flexibility to tailor modification-centric searches to the fragmentation observed. We show that labile mode can dramatically improve spectrum identification rates of phosphopeptides, RNA-crosslinked peptides, and ADP-ribosylated peptides. Each of these modifications presents distinct fragmentation characteristics, showcasing the flexibility of MSFragger labile mode to improve search for a wide variety of biological and chemical modifications.
蛋白质的翻译后修饰在定义和调节其修饰的蛋白质功能方面发挥着重要作用,因此鉴定这些修饰对于理解生物学和疾病至关重要。基于质谱的蛋白质组学已经开发了用于富集和分析各种生物和化学蛋白质修饰的方法,这些方法主要依赖于传统的数据库搜索方法来鉴定修饰肽的质谱。这些数据库搜索方法将修饰视为质量在肽序列中特定位置的静态附着,但许多修饰在串联质谱实验中会与肽骨架一起或代替肽骨架发生碎裂。虽然这种碎裂会使传统的搜索方法复杂化,但它也为改进搜索提供了独特的机会,这些搜索方法可以结合修饰特异性的片段离子。在这里,我们在 MSFragger 搜索引擎中引入了一种新的不稳定模式,该模式提供了根据观察到的碎裂来定制以修饰为中心的搜索的灵活性。我们表明,不稳定模式可以极大地提高磷酸肽、RNA 交联肽和 ADP-核糖基化肽的谱识别率。这些修饰中的每一种都具有独特的碎裂特征,展示了 MSFragger 不稳定模式在提高对各种生物和化学修饰的搜索中的灵活性。