Fig. 2: The feasibility of incorporating glycosylation workflow into MuPPE. | Nature Communications

Fig. 2: The feasibility of incorporating glycosylation workflow into MuPPE.

From: A versatile platform for sequential glyco-, phospho-, and proteomics with multi-PTMs integration

Fig. 2

The optimized enzymatic digestion parameters of the MuPPE workflow. a–c Comparison of identified human serum protein groups (a), glycopeptides (b), and the glycopeptides selectivity (c) when digested with E/S ratio of 1 : 50 in digestion time from 1 to 12 h (n = 2). Comparative analysis of the numbers of glycopeptides (d) and the corresponding selectivity of glycopeptides (e) identified using different hydrophilic beads in human serum (n = 3). f The glycosylation identification results of glycopeptides, glycoproteins, and the selectivity of glycopeptides from different operators with mouse brain lysates (n = 2). Oper: Operator. g Sialylated and neutral glycosylation levels comparison across various biological samples (n = 2; MB: mouse brain, HS: human serum, HCSF: human CSF). h The glycosylation identification of HCSF. Gpeps, GPs, and N-glcycosites are the abbreviations for glycopeptides, glycoproteins, and N-glycosylation sites (n = 3). i The N-glycosylation sites of MB, HS, and HCSF identified with MuPPE relative to those reported in UniProt, as summarized in the GlyGen dataset (Version 2.6.1, released on 08/07/2024), and [https://data.glygen.org/GLY_000039] for mouse N-glycosylation sites dataset and [https://data.glygen.org/GLY_000038] for human N-glycosylation sites dataset. Error bars presented as mean ± SD.

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