Novel O-linked sialoglycan structures in human urinary glycoproteins

Experimentally Determined Diagnostic Ions for Identification of Peptide Glycotopes

The analysis of the structures of glycans present on glycoproteins is an essential component for determining glycoprotein function; however, detailed glycan structural assignment on glycopeptides from proteomics mass spectrometric data remains challenging. Glycoproteomic analysis by mass spectrometry currently can provide significant, yet incomplete, information about the glycans present, including the glycan monosaccharide composition and in some circumstances the site(s) of glycosylation. Advancements in mass spectrometric resolution, using high-mass accuracy instrumentation and tailored MS/MS fragmentation parameters, coupled with a dedicated definition of diagnostic fragmentation ions have enabled the determination of some glycan structural features, or glycotopes, expressed on glycopeptides. Here we present a collation of diagnostic glycan fragments produced by traditional positive-ion-mode reversed-phase LC-ESI MS/MS proteomic workflows and describe the specific fragmentation energy settings required to identify specific glycotopes presented on N- or O-linked glycopeptides in a typical proteomics MS/MS experiment.

Multiple Layers of Complexity in O-Glycosylation Illustrated With the Urinary Glycoproteome

While N-glycopeptides are relatively easy to characterize, O-glycosylation analysis is more complex. In this article, we illustrate the multiple layers of O-glycopeptide characterization that make this task so challenging. We believe our carefully curated dataset represents perhaps the largest intact human glycopeptide mixture derived from individuals, not from cell lines. The samples were collected from healthy individuals, patients with superficial or advanced bladder cancer (three of each group), and a single bladder inflammation patient. The data were scrutinized manually and interpreted using three different search engines: Byonic, Protein Prospector, and O-Pair, and the tool MS-Filter. Despite all the recent advances, reliable automatic O-glycopeptide assignment has not been solved yet. Our data reveal such diversity of site-specific O-glycosylation that has not been presented before. In addition to the potential biological implications, this dataset should be a valuable resource for software developers in the same way as some of our previously released data has been used in the development of O-Pair and O-Glycoproteome Analyzer. Based on the manual evaluation of the performance of the existing tools with our data, we lined up a series of recommendations that if implemented could significantly improve the reliability of glycopeptide assignments.

Measuring the multifaceted roles of mucin-domain glycoproteins in cancer

Mucin-domain glycoproteins are highly O-glycosylated cell surface and secreted proteins that serve as both biochemical and biophysical modulators. Aberrant expression and glycosylation of mucins are known hallmarks in numerous malignancies, yet mucin-domain glycoproteins remain enigmatic in the broad landscape of cancer glycobiology. Here we review the multifaceted roles of mucins in cancer through the lens of the analytical and biochemical methods used to study them. We also describe a collection of emerging tools that are specifically equipped to characterize mucin-domain glycoproteins in complex biological backgrounds. These approaches are poised to further elucidate how mucin biology can be understood and subsequently targeted for the next generation of cancer therapeutics.

Efficient HCD-pd-EThcD approach for N-glycan mapping of therapeutic antibodies at intact glycopeptide level

N-glycosylation is a critical quality attribute for monoclonal antibody (mAb)-based therapeutics due to its significant impact on drug efficacy and safety. Extensive glycosylation mapping is therefore necessary for mAb drug development and quality control. We utilized a higher-energy dissociation product ions-triggered electron-transfer/higher-energy collision dissociation (HCD-pd-EThcD) approach to mapping N-glycosylation in therapeutic mAbs. Due to the improved duty cycle and targeted ability, HCD-pd-EThcD could provide extensive N-glycan identifications as well as higher quality spectra than EThcD mode. On average, ten types of N-glycan were uncovered in two different lots of trastuzumab, demonstrating a significant increment in N-glycan species compared to only four types identified by EThcD. After integrating pre-enrichment of glycopeptides, up to 16 N-glycans were recognized. Significantly, this strategy facilitated the identification of glycopeptides containing fucosylated and sialylated glycans, meanwhile enabled the recognition of different N-glycan classes (high mannose, hybrid, and complex). Further application in the glycosylation analysis of adalimumab and bevacizumab resulted in 19 and 8 N-glycans species, providing a more comprehensive insight into their glycosylation modification status. We demonstrated the benefits of an integrated strategy in characterizing various N-glycans of mAb therapeutics and offer an alternative approach for their quality control at the intact glycopeptides level.

Towards structure-focused glycoproteomics

Facilitated by advances in the separation sciences, mass spectrometry and informatics, glycoproteomics, the analysis of intact glycopeptides at scale, has recently matured enabling new insights into the complex glycoproteome. While diverse quantitative glycoproteomics strategies capable of mapping monosaccharide compositions of N- and O-linked glycans to discrete sites of proteins within complex biological mixtures with considerable sensitivity, quantitative accuracy and coverage have become available, developments supporting the advancement of structure-focused glycoproteomics, a recognised frontier in the field, have emerged. Technologies capable of providing site-specific information of the glycan fine structures in a glycoproteome-wide context are indeed necessary to address many pending questions in glycobiology. In this review, we firstly survey the latest glycoproteomics studies published in 2018–2020, their approaches and their findings, and then summarise important technological innovations in structure-focused glycoproteomics. Our review illustrates that while the O-glycoproteome remains comparably under-explored despite the emergence of new O-glycan-selective mucinases and other innovative tools aiding O-glycoproteome profiling, quantitative glycoproteomics is increasingly used to profile the N-glycoproteome to tackle diverse biological questions. Excitingly, new strategies compatible with structure-focused glycoproteomics including novel chemoenzymatic labelling, enrichment, separation, and mass spectrometry-based detection methods are rapidly emerging revealing glycan fine structural details including bisecting GlcNAcylation, core and antenna fucosylation, and sialyl-linkage information with protein site resolution. Glycoproteomics has clearly become a mainstay within the glycosciences that continues to reach a broader community. It transpires that structure-focused glycoproteomics holds a considerable potential to aid our understanding of systems glycobiology and unlock secrets of the glycoproteome in the immediate future.

A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics

Glycosylation is a prevalent, yet heterogeneous modification with a broad range of implications in molecular biology. This heterogeneity precludes enrichment strategies that can be universally beneficial for all glycan classes. Thus, choice of enrichment strategy has profound implications on experimental outcomes. Here we review common enrichment strategies used in modern mass spectrometry-based glycoproteomic experiments, including lectins and other affinity chromatographies, hydrophilic interaction chromatography and its derivatives, porous graphitic carbon, reversible and irreversible chemical coupling strategies, and chemical biology tools that often leverage bioorthogonal handles. Interest in glycoproteomics continues to surge as mass spectrometry instrumentation and software improve, so this review aims to help equip researchers with the necessary information to choose appropriate enrichment strategies that best complement these efforts.

Glycoproteomics: growing up fast

Glycoproteomics is a rapidly growing field which seeks to identify and characterise glycosylation events at a proteome scale. Over the last few years considerable effort has been made in developing new technologies, enrichment systems, and analysis strategies to enhance the quality of glycoproteomic studies. Within this review we discuss the recent developments in glycoproteomics and the current state of the art approaches for analysing glycosylated substrates. We highlight key improvements in mass spectrometry instrumentation coupled with the advancements in enrichment approaches for key classes of glycosylation including mucin-O-glycosylation, O-GlcNAc glycosylation and N-linked glycosylation which now allow the identification/quantification of hundreds to thousands of glycosylation sites within individual experiments. Finally, we summarise the emerging trends within glycoproteomics to illustrate how the field is moving away from studies simply focused on identifying glycosylated substrates to studying specific mechanisms and disease states.

Electron-Based Dissociation Is Needed for O-Glycopeptides Derived from OpeRATOR Proteolysis

The recently described O-glycoprotease OpeRATOR presents exciting opportunities for O-glycoproteomics. This bacterial enzyme purified from Akkermansia muciniphila cleaves N-terminally to serine and threonine residues that are modified with (preferably asialylated) O-glycans. This provides orthogonal cleavage relative to canonical proteases (e.g., trypsin) for improved O-glycopeptide characterization with tandem mass spectrometry (MS/MS). O-glycopeptides with a modified N-terminal residue, such as those generated by OpeRATOR, present several potential benefits, perhaps the most notable being de facto O-glycosite localization without the need of glycan-retaining fragments in MS/MS spectra. Indeed, O-glycopeptides modified exclusively at the N-terminus would enable O-glycoproteomic methods to rely solely on collision-based fragmentation rather than electron-driven dissociation because glycan-retaining peptide fragments would not be required for localization. The caveat is that modified peptides would need to reliably contain only a single O-glycosite. Here, we use methods that combine collision- and electron-based fragmentation to characterize the number of O-glycosites that are present in O-glycopeptides derived from the OpeRATOR digestion of four known O-glycoproteins. Our data show that over 50% of O-glycopeptides in our sample generated from combined digestion using OpeRATOR and trypsin contain multiple O-glycosites, indicating that collision-based fragmentation alone is not sufficient. Electron-based dissociation methods are necessary to capture the O-glycopeptide diversity present in OpeRATOR digestions.

O-Pair Search with MetaMorpheus for O-glycopeptide characterization

We report O-Pair Search, an approach to identify O-glycopeptides and localize O-glycosites. Using paired collision- and electron-based dissociation spectra, O-Pair Search identifies O-glycopeptides via an ion-indexed open modification search and localizes O-glycosites using graph theory and probability-based localization. O-Pair Search reduces search times more than 2,000-fold compared to current O-glycopeptide processing software, while defining O-glycosite localization confidence levels and generating more O-glycopeptide identifications. Beyond the mucin-type O-glycopeptides discussed here, O-Pair Search also accepts user-defined glycan databases, making it compatible with many types of O-glycosylation. O-Pair Search is freely available within the open-source MetaMorpheus platform at https://github.com/smith-chem-wisc/MetaMorpheus .

O-Pair Search with MetaMorpheus for O-glycopeptide characterization

We report O-Pair Search, a new approach to identify O-glycopeptides and localize O-glycosites. Using paired collision- and electron-based dissociation spectra, O-Pair Search identifies O-glycopeptides using an ion-indexed open modification search and localizes O-glycosites using graph theory and probability-based localization. O-Pair Search reduces search times more than 2,000-fold compared to current O-glycopeptide processing software, while defining O-glycosite localization confidence levels and generating more O-glycopeptide identifications. Beyond the mucin-type O-glycopeptides discussed here, O-Pair Search also accepts user-defined glycan databases, making it compatible with many types of O-glycosylation. O-Pair Search is freely available within the open-source MetaMorpheus platform at https://github.com/smith-chem-wisc/MetaMorpheus.

Improved online LC-MS/MS identification of O-glycosites by EThcD fragmentation, chemoenzymatic reaction, and SPE enrichment

O-glycosylation is a highly diverse and complex form of protein post-translational modification. Mucin-type O-glycosylation is initiated by the transfer of N-acetyl-galactosamine (GalNAc) to the hydroxyl group of serine, threonine and tyrosine residues through catalysis by a family of glycosyltransferases, the UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferases (E.C. 2.4.1.41) that are conserved across metazoans. In the last decade, structural characterization of glycosylation has substantially advanced due to the development of analytical methods and advances in mass spectrometry. However, O-glycosite mapping remains challenging since mucin-type O-glycans are densely packed, often protecting proteins from cleavage by proteases. Adding to the complexity is the fact that a given glycosite can be modified by different glycans, resulting in an array of glycoforms rising from one glycosite. In this study, we investigated conditions of solid phase extraction (SPE) enrichment, protease digestion, and Electron-transfer/Higher Energy Collision Dissociation (EThcD) fragmentation to optimize identification of O-glycosites in densely glycosylated proteins. Our results revealed that anion-exchange stationary phase is sufficient for glycopeptide enrichment; however, the use of a hydrophobic-containing sorbent was detrimental to the binding of polar-hydrophilic glycopeptides. Different proteases can be employed for enhancing coverage of O-glycosites, while derivatization of negatively charged amino acids or sialic acids would enhance the identification of a short O-glycopeptides. Using a longer than normal electron transfer dissociation (ETD) reaction time, we obtained enhanced coverage of peptide bonds that facilitated the localization of O-glycosites. O-glycosite mapping strategy via proteases, cut-off filtration and solid-phase chemoenzymatic processing. Glycopeptides are enriched by SPE column, followed by release of N-glycans, collection of higher MW O-glycopeptides via MW cut-off filter, O-glycopeptide release via O-protease, and finally detected by LC-MS/MS using EThcD.