Department of Chemistry, University of Wisconsin, Madison, WI, USA.
Department of Chemistry, University of Stanford, Stanford, CA, USA.
Nat Methods. 2020 Nov;17(11):1133-1138. doi: 10.1038/s41592-020-00985-5. Epub 2020 Oct 26.
We report O-Pair Search, an approach to identify O-glycopeptides and localize O-glycosites. Using paired collision- and electron-based dissociation spectra, O-Pair Search identifies O-glycopeptides via an ion-indexed open modification search and localizes O-glycosites using graph theory and probability-based localization. O-Pair Search reduces search times more than 2,000-fold compared to current O-glycopeptide processing software, while defining O-glycosite localization confidence levels and generating more O-glycopeptide identifications. Beyond the mucin-type O-glycopeptides discussed here, O-Pair Search also accepts user-defined glycan databases, making it compatible with many types of O-glycosylation. O-Pair Search is freely available within the open-source MetaMorpheus platform at https://github.com/smith-chem-wisc/MetaMorpheus .
我们报告了 O-Pair Search 方法,用于鉴定 O-糖肽和定位 O-糖基化位点。使用成对的碰撞和基于电子的解离谱,O-Pair Search 通过离子索引的开放修饰搜索来鉴定 O-糖肽,并使用图论和基于概率的定位来定位 O-糖基化位点。与当前的 O-糖肽处理软件相比,O-Pair Search 将搜索时间减少了 2000 多倍,同时定义了 O-糖基化位点定位置信度水平,并生成了更多的 O-糖肽鉴定结果。除了这里讨论的粘蛋白型 O-糖肽外,O-Pair Search 还接受用户定义的聚糖数据库,使其与许多类型的 O-糖基化兼容。O-Pair Search 可在 https://github.com/smith-chem-wisc/MetaMorpheus 上的开源 MetaMorpheus 平台上免费使用。