Multistage mass spectrometry with intelligent precursor selection for N-glycan branching pattern analysis. (1st June 2020)

• Record Type: Journal Article
• Authors: Huang, Chuncui; Wang, Hui; Bu, Dongbo; Zhou, Jinyu; Dong, Junchuan; Zhang, Jingwei; Gao, Huanyu; Wang, Yaojun; Chai, Wengang; Sun, Shiwei; Li, Yan
• Is Part Of: Carbohydrate polymers. Volume 237(2020)
• Publication Date: 2020-06-01
• Subjects: Intelligent precursor selection -- N-gGlycan branching pattern -- Multistage mass spectrometry -- Distinctive fragments -- Hypothesis and significance test; Polysaccharides -- Periodicals; Polysaccharides -- Periodicals; Polysaccharides -- Périodiques; Electronic journals; 547.78
• DOI: 10.1016/j.carbpol.2020.116122
• Languages: English
• ISSNs: 0144-8617

Abstract

Graphical abstract: Highlights: Intelligent precursor selection (GIPS) for N -glycan branching pattern analysis by MS n . A hypothesis and significance test incorporated to improve the first generation GIPS. Biased-DP rather than DP (distinguishing power) was proposed as a new strategy. N- glycan branching patterns can be assigned by the second generation GIPS (GIPS-II). GIPS-II was used in conjunction with MALDI-MS profiling for N- glycan analysis. Abstract: Biological functions of N- glycans are frequently related to their unique branching patterns. Multistage mass spectrometry (MS n ) has become the primary method for glycan structural analysis. However, selection of the best fragment as the precursor for the next round of product-ion scanning is important but difficult. We have previously proposed the concept and designed the approach of glycan intelligent precursor selection (GIPS) to guide MS n experiments, but its use in N -glycans is not straightforward as some N- glycans are of high similarity in branching patterns. In the present work we introduced new elements to GIPS to improve its performance in N- glycan branching pattern analysis. These include a hypothesis and significance test, based on Bayes factor, and DPbiased as a new precursor selection strategy. The improved GIPS was successfully applied to identification of individual N- glycans, and incorporated into MALDI-MS N- glycan profiling for assignment of N- glycans obtained from glycoproteins and complex human serum.