Glycoproteomics of a single protein: revealing hundreds of thousands of Myozyme® glycoforms by hybrid HPLC-MS approaches

30 December 2022, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Characterisation of highly glycosylated biopharmaceuticals by mass spectrometry is challenging because of the huge chemical space of co-existent glycoforms, i.e. heterogenous glycoprotein variants. Here, we report the use of an array of HPLC-MS-based approaches at different structural levels of released glycan, glycopeptide, and hitherto unexplored intact glycoforms to scrutinize the biopharmaceutical Myozyme®, containing the highly complex lysosomal enzyme recombinant acid α-glucosidase. The intrinsic heterogeneity of recombinant acid α-glucosidase glycoforms was unraveled using a novel strong anion-exchange (SAX)-HPLC-MS approach involving a pH gradient of volatile buffers to facilitate chromatographic separation of glycoforms based on their degree of sialylation followed by the acquisition of native mass spectra in an Orbitrap mass spectrometer. The large set of interdepend data acquired at different structural levels was integrated using a set of bioinformatics tools and allowed the annotation of intact glycoforms unraveling more than 1,000,000 different intact glycoform structures. Finally, for the first time, we sought to validate the intact glycoform annotations by integrating experimental data on the enzymatically dissected proteoforms revealing the strengths but also intrinsic limitations of this approach for fully characterising such highly complex glycoproteins by mass spectrometry.

Keywords

hybrid mass spectrometry
anion-exchange chromatography
myozyme
human acid α-glucosidase
glycosylation
proteoforms

Supplementary materials

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Title
Glycoproteomics of a single protein: revealing hundreds of thou-sands of Myozyme® glycoforms by hybrid HPLC-MS approaches
Description
Table S1 Structures of Myozyme® N-glycans. Fig. S1 Schematic representation of the workflow used. Fig. S2 Amino acid sequence of recombinant acid r-hGAA. Fig. S3 All 49 N-glycan compositions and their fractional abundances. Fig. S4 Nano-RP-HPLC-MS/MS analysis of r-hGAA glycopeptides. Fig. S5 Nano-RP-HPLC-MS/MS analysis of r-hGAA glycopeptides. Fig. S6 Fractional abundances and the N-glycans identified. Fig. S7 SAX-HPLC-MS analysis of intact glycoforms of r-hGAA. Fig. S8 Comparison between the raw mass spectrum of intact r-hGAA glycoforms. Fig. S9 RP-HPLC-MS analysis of N-deglycosylated r-hGAA. Fig. S10 Nano-RP-HPLC-MS/MS analysis of r-hGAA peptides. Fig. S11 RP-HPLC-MS analysis of N-deglycosylated r-hGAA. Fig. S12 Micro-RP-HPLC-MS/MS analysis of r-hGAA non-reduced tryptic peptides. Fig. S12 Micro-RP-HPLC-MS/MS analysis of r-hGAA non-reduced tryptic peptides. Fig. S13 SAX-HPLC-MS analysis of desialylated glycoforms of r-hGAA. Fig. S14 Mirror plot of the deconvoluted mass spectra of desialylatedand intact r-hGAA. Fig. S15 Filtering of r-hGAA intact glycoform annotations using the bioinformatics workflow.
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