Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.
Nat Methods. 2021 Dec;18(12):1515-1523. doi: 10.1038/s41592-021-01306-0. Epub 2021 Nov 25.
Great advances have been made in mass spectrometric data interpretation for intact glycopeptide analysis. However, accurate identification of intact glycopeptides and modified saccharide units at the site-specific level and with fast speed remains challenging. Here, we present a glycan-first glycopeptide search engine, pGlyco3, to comprehensively analyze intact N- and O-glycopeptides, including glycopeptides with modified saccharide units. A glycan ion-indexing algorithm developed for glycan-first search makes pGlyco3 5-40 times faster than other glycoproteomic search engines without decreasing accuracy or sensitivity. By combining electron-based dissociation spectra, pGlyco3 integrates a dynamic programming-based algorithm termed pGlycoSite for site-specific glycan localization. Our evaluation shows that the site-specific glycan localization probabilities estimated by pGlycoSite are suitable to localize site-specific glycans. With pGlyco3, we confidently identified N-glycopeptides and O-mannose glycopeptides that were extensively modified by ammonia adducts in yeast samples. The freely available pGlyco3 is an accurate and flexible tool that can be used to identify glycopeptides and modified saccharide units.
在完整糖肽分析的质谱数据解释方面已经取得了重大进展。然而,在特定位置准确识别完整糖肽和修饰的糖基单元,并实现快速分析仍然具有挑战性。在这里,我们提出了一种聚糖优先的糖肽搜索引擎 pGlyco3,用于全面分析完整的 N-和 O-糖肽,包括具有修饰糖基单元的糖肽。为聚糖优先搜索开发的聚糖离子索引算法使 pGlyco3 的速度比其他糖蛋白质组学搜索引擎快 5-40 倍,而不会降低准确性或灵敏度。通过结合基于电子的解离谱,pGlyco3 集成了一种基于动态规划的算法,称为 pGlycoSite,用于特定位置的聚糖定位。我们的评估表明,pGlycoSite 估计的特定位置糖定位概率适合定位特定位置的聚糖。使用 pGlyco3,我们可以自信地鉴定酵母样品中广泛被氨加合物修饰的 N-糖肽和 O-甘露糖糖肽。免费提供的 pGlyco3 是一种准确且灵活的工具,可用于识别糖肽和修饰的糖基单元。