Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2019-2020

Application of MALDI-MS for characterization of fucoidan hydrolysates and screening of endo-fucoidanase activity

Brown macroalgae synthesize large amounts of fucoidans, sulfated fucose-containing polysaccharides, in the ocean. Fucoidans are of importance for their recently discovered contribution to marine carbon dioxide sequestration and due to their potential applications in biotechnology and biomedicine. However, fucoidans have high intra- and intermolecular diversity that challenges assignment of structure to biological function and the development of applications. Fucoidan-active enzymes may be used to simplify this diversity by producing defined oligosaccharides more applicable for structural refinement, characterization, and structure to function assignment for example via bioassays. In this study, we combined MALDI mass spectrometry with biocatalysis to show that the endo-fucoidanases P5AFcnA and Wv323 can produce defined oligosaccharide structures directly from unrefined macroalgal biomass. P5AFcnA released oligosaccharides from seven commercial fucoidan extracts in addition to unrefined biomass of three macroalgae species indicating a broadly applicable approach reproducible across 10 species. Both MALDI-TOF/TOF and AP-MALDI-Orbitrap systems were used, demonstrating that the approach is not instrument-specific and exploiting their combined high-throughput and high-resolution capabilities. Overall, the combination of MALDI-MS and endo-fucoidanase assays offers high-throughput evaluation of fucoidan samples and also enables extraction of defined oligosaccharides of known structure from unrefined seaweed biomass.

Predicting glycan structure from tandem mass spectrometry via deep learning

Glycans constitute the most complicated post-translational modification, modulating protein activity in health and disease. However, structural annotation from tandem mass spectrometry (MS/MS) data is a bottleneck in glycomics, preventing high-throughput endeavors and relegating glycomics to a few experts. Trained on a newly curated set of 500,000 annotated MS/MS spectra, here we present CandyCrunch, a dilated residual neural network predicting glycan structure from raw liquid chromatography-MS/MS data in seconds (top-1 accuracy: 90.3%). We developed an open-access Python-based workflow of raw data conversion and prediction, followed by automated curation and fragment annotation, with predictions recapitulating and extending expert annotation. We demonstrate that this can be used for de novo annotation, diagnostic fragment identification and high-throughput glycomics. For maximum impact, this entire pipeline is tightly interlaced with our glycowork platform and can be easily tested at https://colab.research.google.com/github/BojarLab/CandyCrunch/blob/main/CandyCrunch.ipynb . We envision CandyCrunch to democratize structural glycomics and the elucidation of biological roles of glycans.

Comprehensive review of MS-based studies on N-glycoproteome and N-glycome of extracellular vesicles

Extracellular vesicles (EVs) are lipid bilayer-enclosed particles that can be released by all type of cells. Whereas, as one of the most common post-translational modifications, glycosylation plays a vital role in various biological functions of EVs, such as EV biogenesis, sorting, and cellular recognition. Nevertheless, compared with studies on RNAs or proteins, those investigating the glycoconjugates of EVs are limited. An in-depth investigation of N-glycosylation of EVs can improve the understanding of the biological functions of EVs and help to exploit EVs from different perspectives. The general focus of studies on glycosylation of EVs primarily includes isolation and characterization of EVs, preparation of glycoproteome/glycome samples and MS analysis. However, the low content of EVs and non-standard separation methods for downstream analysis are the main limitations of these studies. In this review, we highlight the importance of glycopeptide/glycan enrichment and derivatization owing to the low abundance of glycoproteins and the low ionization efficiency of glycans. Diverse fragmentation patterns and professional analytical software are indispensable for analysing glycosylation via MS. Altogether, this review summarises recent studies on glycosylation of EVs, revealing the role of EVs in disease progression and their remarkable potential as biomarkers.

In Situ Glycan Analysis and Editing in Living Systems

Besides proteins and nucleic acids, carbohydrates are also ubiquitous building blocks of living systems. Approximately 70% of mammalian proteins are glycosylated. Glycans not only provide structural support for living systems but also act as crucial regulators of cellular functions. As a result, they are considered essential pieces of the life science puzzle. However, research on glycans has lagged far behind that on proteins and nucleic acids. The main reason is that glycans are not direct products of gene coding, and their synthesis is nontemplated. In addition, the diversity of monosaccharide species and their linkage patterns contribute to the complexity of the glycan structures, which is the molecular basis for their diverse functions. Research in glycobiology is extremely challenging, especially for the in situ elucidation of glycan structures and functions. There is an urgent need to develop highly specific glycan labeling tools and imaging methods and devise glycan editing strategies. This Perspective focuses on the challenges of in situ analysis of glycans in living systems at three spatial levels (i.e., cell, tissue, and in vivo) and highlights recent advances and directions in glycan labeling, imaging, and editing tools. We believe that examining the current development landscape and the existing bottlenecks can drive the evolution of in situ glycan analysis and intervention strategies and provide glycan-based insights for clinical diagnosis and therapeutics.

Sodium-Doped 3-Amino-4-hydroxybenzoic Acid: Rediscovered Matrix for Direct MALDI Glycotyping of O-Linked Glycopeptides and Intact Mucins

3-Amino-4-hydroxybenzoic acid (AHB) was the first matrix identified by glycoprotein glycan analysis using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). However, compared to commonly used matrices, such as 2,5-dihydroxybenzoic acid (DHB), AHB is less efficient at glycan ionization and lacks the ability to ionize other molecular species, such as peptides, and thus is no longer used. In this study, we focused on the glycan-selective ionization ability of AHB and its low-noise properties in the low-molecular-weight region, as we expected that these properties could be enhanced by adding sodium to AHB. Sodium-doped AHB (AHB/Na) selectively imparts sodium adduct ions onto O-glycan fragments generated by the in-source decay (ISD) of glycopeptides and glycoproteins containing O-glycans that occurs during intense laser irradiation, enabling direct O-glycan analysis. Furthermore, we demonstrated that it is possible to investigate the internal structure of each O-glycan fragment with pseudo-MS/MS/MS using the sodium adduct ion of the O-glycan-derived ISD fragments from an intact mucin mixture.

Mass photometry: A powerful tool for carbohydrates-proteins conjugation monitoring and glycoconjugates molecular mass determination

Glycoconjugate vaccines are important additions to the existing means for prevention of diseases caused by bacterial and viral pathogens. Conjugating carbohydrates to proteins is a crucial step in the development of these vaccines. Traditional mass spectrometry techniques, such as MALDI-TOF and SELDI-TOF, have difficulties in detecting glycoconjugates with high molecular masses. Mass photometry (MP) is a single-molecule technique that has been recently developed, which allows mass measurements of individual molecules and generates mass distributions based on hundreds to thousands of these measurements. In this study, we evaluated the performance of MP in monitoring carbohydrate-protein conjugation reactions and characterization of conjugates. Three different glycoconjugates were prepared from carrier protein BSA, and one from a large protein complex, a virus capsid with 3.74 MDa molecular mass. The masses measured by MP were consistent with those obtained by SELDI-TOF-MS and SEC-MALS. The conjugation of BSA dimer to carbohydrate antigen was also successfully characterized. This study shows that the MP technique is a promising alternative to methods developed earlier for monitoring glycoconjugation reactions and characterization of glycoconjugates. It measures intact molecules in solution and it is highly accurate over a wide mass range. MP requires only a very small amount of sample and has no specific buffer constraints. Other MP advantages include minimal cost of consumables and rapid data collection and analysis. Its advantages over other methods make it a valuable tool for researchers in the glycoconjugation field.