Pglycoquant with a deep residual network for quantitative glycoproteomics at intact glycopeptide level

HIGHLIGHTS

SUMMARY

    Application of pGlycoQuant to the N-glycoproteomic study in three different metastatic HCC cell lines quantifies 6435 intact N-glycopeptides and, together with in_vitro molecular biology experiments, illustrates site 979core fucosylation of L1CAM as a potential regulator of HCC metastasis. Intact glycopeptide quantitation suffers from impaired accuracy and large numbers of quantitative missing values since glycopeptide signals are more difficult to recognize than that of naked peptides due to the Nature Communications | 13:7539 In the quantitation processing step, it applies the ResNet deep learning to the glycopeptide evidence matching model for fine glycopeptide . . .

     

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