Widely-available LC-MS instruments and methods allow users to acquire glycoproteomics data. Complex glycans, however, add a dimension of complexity to the data analysis workflow. In a sense, complex glycans are post-translationally modified post-translational modifications, reflecting a series of biosynthetic reactions in the secretory pathway that are spatially and temporally regulated. One problem is that complex glycan is micro-heterogeneous, multiplying the complexity of the proteome. Another is that glycopeptide glycans undergo dissociation during tandem MS that must be considered for tandem MS interpretation algorithms and quantitative tools. Fortunately, there are a number of algorithmic tools available for analysis of glycoproteomics LC-MS data. We summarize the principles for glycopeptide data analysis and show use of our GlycReSoft tool to analyze SARS-CoV-2 spike protein site-specific glycosylation.

中文翻译：

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使用GlycReSoft分配冠状病毒刺突蛋白位点特异性糖基化

广泛使用的LC-MS仪器和方法允许用户获取糖蛋白组学数据。但是，复杂的聚糖增加了数据分析工作流程的复杂性。从某种意义上说，复杂的聚糖是翻译后修饰的翻译后修饰，反映了分泌途径中一系列在空间和时间上受到调节的生物合成反应。一个问题是复杂的聚糖微异质，增加了蛋白质组的复杂性。另一个是在串联质谱分析过程中糖肽聚糖会发生解离，这对于串联质谱分析算法和定量工具必须考虑。幸运的是，有许多算法工具可用于糖蛋白组学LC-MS数据的分析。