Fig. 3: Glycoproteomics for the analysis of fucosylated glycoproteins.
From: Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma
a Proteomic workflow. b Volcano plot showing altered glycopeptides in HCC. c–e Three glycopeptides that were found to be increased in HCC samples, c is a glycopeptide from clusterin, d is a peptide from alpha-2 macroglobulin and e is a glycopeptide from hemopexin. f Workflow for the GlycoTyper, used to orthogonally confirm N-glycan alterations. g GlycoTyper analysis of clusterin, showing either changes in total fucosylation (left panel) or on a specific N-glycan (m/z 2539.907), h GlycoTyper analysis of alpha-2-macroglobulin (A2M), showing either changes in total fucosylation (left panel) or on a specific N-glycan (m/z 2174.772), i GlycoTyper analysis of hemopexin, showing either changes in total fucosylation (left panel) or on a specific N-glycan (m/z 2539.907). Where statistical difference exists, the p value is provided. Graphs include the mean and the 95% CI.
