Mucins are a large family of heavily O-glycosylated proteins that cover all mucosal surfaces and constitute the major macromolecules in most body fluids. Mucins are primarily defined by their variable tandem repeat (TR) domains that are densely decorated with different O-glycan structures in distinct patterns, and these arguably convey much of the informational content of mucins. Here, we develop a cell-based platform for the display and production of human TR O-glycodomains (~200 amino acids) with tunable structures and patterns of O-glycans using membrane-bound and secreted reporters expressed in glycoengineered HEK293 cells. Availability of defined mucin TR O-glycodomains advances experimental studies into the versatile role of mucins at the interface with pathogenic microorganisms and the microbiome, and sparks new strategies for molecular dissection of specific roles of adhesins, glycoside hydrolases, glycopeptidases, viruses and other interactions with mucin TRs as highlighted by examples.

Extracellular vesicles (EVs) are a heterogeneous group of small secreted particles involved in intercellular communication and mediating a broad spectrum of biological functions. EVs cargo is composed of a large repertoire of molecules, including glycoconjugates. Herein, we report the first study on the impact of the isolation strategy on the EV populations' glycosylation profile. The use of different state-of-the-art protocols, namely differential ultracentrifugation (UC), total exosome isolation (TEI), OptiPrep TM density gradient (ODG) and size exclusion chromatography (SEC) resulted in EV populations displaying different sets of glycoconjugates. The EV populations obtained by UC, ODG and SEC methods displayed similar protein and glycan profiles, whereas TEI methodology isolated the most distinct EV population. In addition, ODG and SEC isolation protocols provided an enhanced EV glycoproteins detection. Remarkably, proteins displaying the tumour-associated glycan sialyl-Tn (STn) were identified as packaged cargo into EVs independently of the isolation methodology. STn carrying EV samples isolated by UC, ODG and SEC presented a considerable set of cancer-related proteins that were not detected in EVs isolated by TEI. Our work demonstrates the impact of using different isolation methodologies in the populations of EVs that are obtained, with consequences in the glycosylation profile of the isolated population. Furthermore, our results highlight the importance of selecting adequate EV isolation protocols and cell culture conditions to determine the structural and functional complexity of the EV glycoconjugates.

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Dissecting site-specific functions of O-glycosylation requires simultaneous identification and quantification of differentially expressed O-glycopeptides by mass spectrometry. However, different dissociation methods have not been systematically compared in their performance in terms of identification, glycosite localization, and quantification with isobaric labeling. Here, we conducted this comparison on highly enriched unlabeled O-glycopeptides with higher-energy collision dissociation (HCD), electron-transfer/collision-induced dissociation (ETciD), and electron transfer/higher-energy collisional dissociation (EThcD), concluding that ETciD and EThcD with optimal supplemental activation resulted in superior identification of glycopeptides and unambiguous site localizations than HCD in a database search by Sequest HT. We later described a pseudo-EThcD strategy that in silico concatenates the electron transfer dissociation spectrum with the paired HCD spectrum acquired sequentially for the same precursor ions, which combines the identification advantage of ETciD/EThcD with the superior reporter ion quality of HCD. We demonstrated its improvements in identification and quantification of isobaric mass tag-labeled O-glycopeptides and showcased the discovery of the specific glycosites of GalNAc transferase 11 (GALNT11) in HepG2 cells.