Multistage LC-MSn for automated glycan isomer assignment of glycopeptides

N-和O-连接的糖基化是一些最常见的，丰富的和生物学上的 重要的蛋白质翻译后修饰，但它们也是最困难的 去学习。糖基化研究的主要分析平台是质谱学， 然而，这个平台本身是不完整的，因为它不能阐明多糖的拓扑结构和 连接立体化学。该项目将推进多聚糖的质谱学应用 通过研究离子来确定结构，特别是O-连接的葡聚糖的情况 不同结构基元在多级离子陷阱质谱学中的倾向，并通过 建立从这种质谱学推断结构的新软件。

N- and O-linked glycosylation are some of the most common, abundant, and biologically important posttranslational modifications of proteins, yet they are also some of the most difficult to study. The dominant analytical platform for the study of glycosylation is mass spectrometry, yet this platform on its own is incomplete, because it cannot elucidate glycan topology and linkage stereochemistry. This project will advance the use of mass spectrometry for glycan structure determination, especially for the case of O-linked glycans, by studying the ion propensities of various structural motifs in multi-stage ion trap mass spectrometry, and by building new software for structure inference from such mass spectra.