Carbohydrate structures in the Carbohydrate Structure Database have been referenced to glycoepitopes from the Immune Epitope Database allowing users to explore the glycan structures and contained epitopes. Starting with an epitope, one can figure out the glycans from other organisms that share the same structural determinant, and retrieve the associated taxonomical, medical and other data. This database mapping demonstrates the advantages of the integration of immunological and glycomic databases.

Glycoengineering of recombinant glycans and glycoconjugates is a rapidly evolving field. However, the production and exploitation of glycans has lagged behind that of proteins and nucleic acids. Biosynthetic glycoconjugate production requires the coordinated cooperation of three key components within a bacterial cell: a substrate protein, a coupling oligosaccharyltransferase, and a glycan biosynthesis locus. While the acceptor protein and oligosaccharyltransferase are the products of single genes, the glycan is a product of a multigene metabolic pathway. Typically, the glycan biosynthesis locus is cloned and transferred en bloc from the native organism to a suitable Escherichia coli strain. However, gene expression within these pathways has been optimized by natural selection in the native host and is unlikely to be optimal for heterologous production in an unrelated organism. In recent years, synthetic biology has addressed the challenges in heterologous expression of multigene systems by deconstructing these pathways and rebuilding them from the bottom up. The use of DNA assembly methods allows the convenient assembly of such pathways by combining defined parts with the requisite coding sequences in a single step. In this study, we apply combinatorial assembly to the heterologous biosynthesis of the Campylobacter jejuni N-glycosylation (pgl) pathway in E. coli. We engineered reconstructed biosynthesis clusters that faithfully reproduced the C. jejuni heptasaccharide glycan. Furthermore, following a single round of combinatorial assembly and screening, we identified pathway clones that outperform glycan and glycoconjugate production of the native unmodified pgl cluster. This platform offers a flexible method for optimal engineering of glycan structures in E. coli.

Keratan sulfate glycosaminoglycan is composed of repeating N-acetyllactosamine (LacNAc) disaccharide units consisting of galactose (Gal) and N-acetylglucosamine (GlcNAc), both often 6-O-sulfated. Sulfate contents of keratan sulfate are heterogeneous depending upon the origins. In this study, keratan sulfate is classified as either highly sulfated (in which both GlcNAc and Gal residues are 6-O-sulfated) or low-sulfated (in which only GlcNAc residues are 6-O-sulfated). It is reported that highly sulfated keratan sulfate detected by the 5D4 monoclonal antibody is preferentially expressed in normal epithelial cells lining the female genital tract and in their neoplastic counterparts; however, expression of low-sulfated keratan sulfate in either has not been characterized. In the present study, we generated the 294-1B1 monoclonal antibody, which selectively recognizes low-sulfated keratan sulfate, and performed precise glycan analysis of sulfated glycans expressed on human serous ovarian carcinoma OVCAR-3 cells. We found that OVCAR-3 cells do not express highly sulfated keratan sulfate but rather express low-sulfated form, which was heterogeneous in 294-1B1 reactivity. Comparison of mass spectrometry spectra of sulfated glycans in 294-1B1-positive versus -negative OVCAR-3 cells indicated that the 294-1B1 epitope is likely at least two, and possibly three or more, tandem GlcNAc-6-O-sulfated LacNAc units. Then, using the 294-1B1 antibody, we performed quantitative immunohistochemical analysis of 40 specimens from patients with ovarian cancer, consisting of 10 each of serous, endometrioid, clear cell and mucinous carcinomas, and found that among them low-sulfated keratan sulfate was widely expressed in all but mucinous ovarian carcinoma.

Protein N-linked glycosylation is an important post-translational mechanism in Homo sapiens, playing essential roles in many vital biological processes. It occurs at the N-X-[S/T] sequon in amino acid sequences, where X can be any amino acid except proline. However, not all N-X-[S/T] sequons are glycosylated; thus, the N-X-[S/T] sequon is a necessary but not sufficient determinant for protein glycosylation. In this regard, computational prediction of N-linked glycosylation sites confined to N-X-[S/T] sequons is an important problem that has not been extensively addressed by the existing methods, especially in regard to the creation of negative sets and leveraging the distilled information from protein language models (pLMs). Here, we developed LMNglyPred, a deep learning-based approach, to predict N-linked glycosylated sites in human proteins using embeddings from a pre-trained pLM. LMNglyPred produces sensitivity, specificity, Matthews Correlation Coefficient, precision, and accuracy of 76.50, 75.36, 0.49, 60.99, and 75.74 percent, respectively, on a benchmark-independent test set. These results demonstrate that LMNglyPred is a robust computational tool to predict N-linked glycosylation sites confined to the N-X-[S/T] sequon.

Chondroitin sulfate (CS) has been widely administered orally to improve knee osteoarthritis (OA). CS also has various biological properties, such as anti-inflammatory, immunomodulatory, anti-oxidative, and anti-tumour activity. However, CS absorption in the digestive system and bioavailability remain controversial owing to its large molecular weight (MW). In this study, we aimed to evaluate the absorption of CS oligosaccharides (CSOS), depolymerized CS with low MW, in oral administration to humans. Four types of CS with varying MW [CS tetrasaccharide (MW. 980), CSOS-1 (MW. 1500), CSOS-2 (MW. 2800), and HMWCS (MW. 70,000)] were orally administered and quantified in plasma and urine. Exogenous CS (Exo-CS) in these samples was quantified using a high-performance liquid chromatography system equipped with a fluorescence detector. Quantitative changes of administered CS tetrasaccharide showed similar patterns in plasma and urine, therefore it was presumed that the amount of Exo-CS excreted in urine reflects its quantitative profile in blood. Considering urinary Exo-CS as a parameter of intestinal CS absorption, urinary contents of orally administered CS with varying MW were compared. Consequently, the amount of urinary Exo-CS in 24 hours after administration was higher in the CSOS group than that in the HMWCS group. Additionally, in the MW distribution, urinary Exo-CS after CSOS administration showed a lower content of CSOS with a higher MW than that observed before administration. In summary, our results demonstrated for the first time that lower MW of CS is more efficiently absorbed through the digestive tract in human, and the improvement of its bioavailability is expected.

Sulf-2 is an extracellular heparan 6-O-endosulfatase involved in the postsynthetic editing of heparan sulfate (HS), which regulates many important biological processes. The activity of the Sulf-2 and its substrate specificity remain insufficiently characterized in spite of more than two decades of studies of this enzyme. This is due, in part, to the difficulties in the production and isolation of this highly modified protein and due to the lack of well-characterized synthetic substrates for the probing of its catalytic activity. We introduce synthetic HS oligosaccharides to fill this gap, and we use our recombinant Sulf-2 protein to show that a paranitrophenol (pNP)-labeled synthetic oligosaccharide allows a reliable quantification of its enzymatic activity. The substrate and products of the desulfation reaction are separated by ion exchange high-pressure liquid chromatography and quantified by UV absorbance. This simple assay allows the detection of the Sulf-2 activity at high sensitivity (nanograms of the enzyme) and specificity. The method also allowed us to measure the heparan 6-O-endosulfatase activity in biological samples as complex as the secretome of cancer cell lines. Our in vitro measurements show that the N-glycosylation of the Sulf-2 enzyme affects the activity of the enzyme and that phosphate ions substantially decrease the Sulf-2 enzymatic activity. This assay offers an efficient, sensitive, and specific measurement of the heparan 6-O-endosulfatase activity that could open avenues to in vivo activity measurements and improve our understanding of the enzymatic editing of the sulfation of heparan.

A novel Gal-binding lectin from mussels (Crenomytilus grayanus, CGL) with 6 binding sites in the dimeric structure has been previously shown to have antifungal, anticancer, and antibacterial activities. In this study, a glycan array was used to confirm that CGL recognizes a range of non-reducing end α- or β-linked Gal glycans on normal cells but not sialic acid-capped glycans. This finding suggests that CGL has potential in the tumor detection due to the hyper-sialylation present in cell surface glycans from cancer cells. To evaluate the feasibility of this possibility, we labeled CGL with biotin and then mixed it with streptavidin-horseradish peroxidase (HRP) to create a CGL-biotin-SP complex as a probe for use in enzyme-linked lectin assays. CGL-biotin-SP successfully distinguished not only HeLa cells and de-sialylated HeLa cells that mimic normal cell surface glycans but also lung and breast cancer cells with different metastatic abilities. This work provides the insights into a new Gal-binding lectin by establishing its specificity and also demonstrates practical applications in cancer diagnosis greater than other reported lectins.

Hyaluronan (HA) is a central component of the extracellular matrix (ECM) in the brain and plays a pivotal role in neural development and plasticity. Brain HA exists in two distinct forms of the ECM: the diffuse ECM, which is soluble in saline and detergents, and the condensed ECM, which forms aggregates, such as perineuronal nets. Although the physiological functions of HA significantly differ depending on its size, size differences in HA have not yet been examined in the two ECM types, which is partly due to the lack of methods to rapidly and accurately measure the molecular weight (MW) of HA. In this study, we established a simple method to simultaneously assess the MW of HA in multiple crude biological samples. HA was purified through single-step precipitation from tissue extracts using biotinylated HA-binding protein and streptavidin-coupled magnetic beads, followed by separation on gel electrophoresis. By applying this method to HA in the mouse brain, we revealed that the condensed ECM contained higher MW HA than the diffuse ECM. Higher MW HA and lower MW HA exhibited different spatial distributions: the former was confined to perineuronal nets, while the latter was widely present throughout the brain. Furthermore, the limited degradation of HA showed that only higher MW HA was required to form an insoluble HA-aggrecan complex. The present study demonstrated that the MW of HA in the brain strongly correlates with the localization and solubility of the ECM it forms.

Glycoside hydrolase family 29 (GH29) encompasses α-L-fucosidases, i.e. enzymes that catalyze the hydrolytic release of fucose from fucosylated glycans, including N- and O-linked glycans on proteins, and these α-L-fucosidases clearly play important roles in biology. GH29 enzymes work via a retaining exo-action mechanism, and some can catalyze transfucosylation. There is no formal subfamily division of GH29 α-L-fucosidases, but they are nonetheless divided into two subfamilies: GH29A having a range of substrate specificities and GH29B having narrower substrate specificity. However, the sequence traits that determine the substrate specificity and transglycosylation ability of GH29 enzymes are not well characterized. Here, we present a new functional map of family GH29 members based on peptide-motif clustering via CUPP (conserved unique peptide patterns) and compare the substrate specificity and transglycosylation activity of 21 representative α-L-fucosidases across the 53 CUPP groups identified. The 21 enzymes exhibited different enzymatic rates on 8 test substrates, CNP-Fuc, 2'FL, 3FL, Lewisa, Lewisx, Fuc-α1,6-GlcNAc, Fuc-α1,3-GlcNAc, and Fuc-α1,4-GlcNAc. Certain CUPP groups clearly harbored a particular type of enzymes, e.g. the majority of the enzymes having activity on Lewisa or Lewisx categorized in the same CUPP clusters. In general, CUPP was useful for resolving GH29 into functional diversity subgroups when considering hydrolytic activity. In contrast, the transglycosylation capacity of GH29 α-L-fucosidases was distributed across a range of CUPP groups. Transglycosylation thus appears to be a common trait among these enzymes and not readily predicted from sequence comparison.

A multi-glycomic method for characterizing the glycocalyx was employed to identify the difference between 2-dimensional (2D) and 3-dimensional (3D) culture models with two human colorectal cancer cell lines, HCT116 and HT29. 3D cell cultures are considered more representative of cancer due to their ability to mimic the microenvironment found in tumors. For this reason, they have become an important tool in cancer research. Cell-cell interactions increase in 3D models compared to 2D, indeed significant glycomic changes were observed for each cell line. Analyses included the N-glycome, O-glycome, glycolipidome, glycoproteome, and proteome providing the most extensive characterization of the glycocalyx between 3D and 2D thus far. The different glycoconjugates were affected in different ways. In the N-glycome, the 3D cells increased in high-mannose glycosylation and in core fucosylation. Glycolipids increased in sialylation. Specific glycoproteins were found to increase in the 3D cell, elucidating the pathways that are affected between the two models. The results show large structural and biological changes between the 2 models suggesting that the 2 are indeed very different potentially affecting individual outcomes in the study of diseases.

We monitored longitudinal changes in bovine milk IgG in samples from four cows at 9 time points in between 0.5 and 28 days following calving. We used peptide-centric LC-MS/MS on proteolytic digests of whole bovine milk, resulting in the combined identification of 212 individual bovine milk protein sequences, with IgG making up >50 percent of the protein content of every 0.5 d colostrum sample, which reduced to ≤3 percent in mature milk. In parallel, we analyzed IgG captured from the bovine milk samples to characterize its N-glycosylation, using dedicated methods for bottom-up glycoproteomics employing product ion-triggered hybrid fragmentation; data are available via ProteomeXchange with identifier PXD037755. The bovine milk IgG N-glycosylation profile was revealed to be very heterogeneous, consisting of >40 glycoforms. Furthermore, these N-glycosylation profiles changed substantially over the period of lactation, but consistently across the four individual cows. We identified NeuAc sialylation as the key abundant characteristic of bovine colostrum IgG, significantly decreasing in the first days of lactation, and barely detectable in mature bovine milk IgG. We also report, for the first time to our knowledge, the identification of subtype IgG3 in bovine milk, alongside the better-documented IgG1 and IgG2. The detailed molecular characteristics we describe of the bovine milk IgG, and their dynamic changes during lactation, are important not only for the fundamental understanding of the calf's immune development, but also for understanding bovine milk and its bioactive components in the context of human nutrition.

Sialic acid-binding immunoglobulin-like lectins (Siglecs) are a family of membrane molecules primarily expressed in immune cells. Most of them are inhibitory receptors containing immunoreceptor tyrosine-based inhibition motifs (ITIMs) in the cytoplasmic tail. On the cell surface, Siglecs are mostly bound by sialylated glycans on membrane molecules expressed in the same cell (cis-ligands). Although ligands of Siglecs are not efficiently identified by conventional methods such as immunoprecipitation, in situ labeling including proximity labeling is useful in identifying both cis-ligands and the sialylted ligands expressed by other cells (trans-ligands) of Siglecs. Interaction of the inhibitory Siglecs with cis-ligands including both those with and without signaling function modulates the inhibitory activity of Siglecs by multiple different ways. This interaction also modulates signaling function of the cis-ligands. So far, little is known about the role of the interaction between Siglecs and the cis-ligands. Nonetheless, recent studies showed that the inhibitory activity of CD22 (also known as Siglec-2) is regulated by endogenous ligands, most likely cis-ligands, differentially in resting B cells and those in which B cell antigen receptor (BCR) is ligated. This differential regulation plays a role in quality control of signaling-competent B cells and also partial restoration of BCR signaling in immunodeficient B cells.

Altered and aberrant glycosylation signatures have been linked to being a hallmark in a variety of human disorders including cancers. Cancer stem cells, capable of self-renewal and differentiation, have recently been credited with a unique notion of disease genesis and implicated as the cause for initiation and recurrence of the disease in a new regime of neoplastic transformations hypothesis. Many biomarkers relating to diagnostic and prognostic intents have been discovered using the ubiquitous and abundant surface glycan patterns on cancer stem cells. Various technological advancements have been developed to identify and determine concerns with glycosylation structure. However, the nature and purpose of the glycan moiety on these glycosylation pattern have not yet been thoroughly investigated. This review, thus, summarises the process of glycosylation in CSCs, variations in glycosylation patterns in various stem cells, aberrant glycosylation patterns in cancer, the role of glycosylation in tumour cell adhesion, cell-matrix interactions, and signalling, as well as cancer detection and treatment. The function of carbohydrates as prospective serum biomarkers, some clinically authorized biomarkers, and potential novel biomarkers relating to cancer disease diagnosis and prognosis are also discussed in the review.

Nonulosonic acids or non-2-ulosonic acids (NulOs) are an ancient family of 2-ketoaldonic acids (α-ketoaldonic acids) with a 9-carbon backbone. In nature, these monosaccharides occur either in a 3-deoxy form (referred to as "sialic acids") or in a 3,9-dideoxy "sialic-acid-like" form. The former sialic acids are most common in the deuterostome lineage, including vertebrates, and mimicked by some of their pathogens. The latter sialic-acid-like molecules are found in bacteria and archaea. NulOs are often prominently positioned at the outermost tips of cell surface glycans, and have many key roles in evolution, biology and disease. The diversity of stereochemistry and structural modifications among the NulOs contributes to more than 90 sialic acid forms and 50 sialic-acid-like variants described thus far in nature. This paper reports the curation of these diverse naturally occurring NulOs at the NCBI sialic acid page (http://www.ncbi.nlm.nih.gov/glycans/sialic.html) as part of the NCBI-Glycans initiative. This includes external links to relevant Carbohydrate Structure Databases. As the amino and hydroxyl groups of these monosaccharides are extensively derivatized by various substituents in nature, the Symbol Nomenclature For Glycans (SNFG) rules have been expanded to represent this natural diversity. These developments help illustrate the natural diversity of sialic acids and related NulOs, and enable their systematic representation in publications and online resources.

Monoclonal antibodies comprise a major class of biologic therapeutics and are also extensively studied in immunology. Given the importance of glycans on antibodies, fluorescent labeling of enzymatically released glycans and their LC/MS analysis is routinely used for in-depth characterization of antibody glycosylation. In this technical note, we propose a method for facile characterization of glycans in the variable region of antibodies using sequential enzymatic digests with Endoglycosidase-S2 and RapidTM Peptide-N-Glycosidase-F followed by labeling with a fluorescent dye carrying an NHS-carbamate moiety. The results and proposed mechanism also suggest that the choice of glycosidases along with the labeling chemistry is critical for accurate glycan analysis for a desired application.

Pasteurella multocida, an encapsulated gram-negative bacterium, is a significant veterinary pathogen. P. multocida is classified into five serogroups (A, B, D, E, and F) based on the bacterial capsular polysaccharide (CPS), which is important for virulence. Serogroups B and E are the primary causative agents of bovine hemorrhagic septicemia that is associated with significant yearly losses of livestock worldwide, primarily in low- and middle-income countries. P. multocida disease is currently managed by whole-cell vaccination, albeit with limited efficacy. CPS is an attractive antigen target for an improved vaccine: CPS-based vaccines have proven highly effective against human bacterial diseases and could provide longer-term protection against P. multocida. The recently elucidated CPS repeat units of serogroups B and E both comprise a ManNAcA/GlcNAc disaccharide backbone with Fruf side chain, but differ in their glycosidic linkages, and a glycine side chain in serogroup B. Interestingly, the Haemophilus influenzae types e and d CPS have the same backbone residues. Here comparative modeling of P. multocida serogroups B and E and H. influenzae types e and d CPS identifies a significant impact of small structural differences on both the chain conformation and the exposed potential antibody-binding epitopes. Further, Fruf and/or glycine side chains shield the immunogenic amino-sugar CPS backbone-a possible common strategy for immune evasion in both P. multocida and H. influenzae. As the lack of common epitopes suggests limited potential for cross-reactivity, a bivalent CPS-based vaccine may be necessary to provide adequate protection against P. multocida types B and E.

Despite decades of research, glycosaminoglycans (GAGs) have not been known to interact with sialyl transferases (STs). Using our in-house combinatorial virtual library screening (CVLS) technology, we studied seven human isoforms, including ST6GAL1, ST6GAL2, ST3GAL1, ST3GAL3, ST3GAL4, ST3GAL5, and ST3GAL6, and predicted that GAGs, especially heparan sulfate (HS), are likely to differentially bind to STs. Exhaustive CVLS and molecular dynamics studies suggested that the common hexasaccharide sequence of HS preferentially recognized ST6GAL1 in a site overlapping the binding site of the donor substrate CMP-Sia. Interestingly, CVLS did not ascribe any special role for the rare 3-O-sulfate modification of HS in ST6GAL1 recognition. The computational predictions were tested using spectrofluorimetric studies, which confirmed preferential recognition of HS over other GAGs. A classic chain length-dependent binding of GAGs to ST6GAL1 was observed with polymeric HS displaying a tight affinity of ~65 nM. Biophysical studies also confirmed a direct competition between CMP-Sia and an HS oligosaccharide and CS polysaccharide for binding to ST6GAL1. Overall, our novel observation that GAGs bind to ST6GAL1 with high affinity and compete with the donor substrate is likely to be important because modulation of sialylation of glycan substrates on cells has considerable physiological/pathological consequences. Our work also brings forth the possibility of developing GAG-based chemical probes of ST6GAL1.

With the global spread of the corona virus disease-2019 pandemic, new spike variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continuously emerge due to increased possibility of virus adaptive amino acid mutations. However, the N-glycosylation profiles of different spike variants are yet to be explored extensively, although the spike protein is heavily glycosylated and surface glycans are well-established to play key roles in viral infection and immune response. Here, we investigated quantitatively the N-glycosylation profiles of seven major emerging spike variants including Original, Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Kappa (B.1.671.1), Delta (B.1.671.2), and Omicron (B.1.1.529). The aim was to understand the changing pattern of N-glycan profiles in SARS-CoV-2 evolution in addition to the widely studied amino acid mutations. Different spike variants exhibit substantial variations in the relative abundance of different glycan peaks and subclasses, although no specific glycan species are exclusively present in or absent from any specific variant. Cluster analysis shows that the N-glycosylation profiles may hold the potential for SARS-CoV-2 spike variants classification. Alpha and Beta variants exhibit the closest similarity to the Original, and the Delta variant displays substantial similarity to Gamma and Kappa variants, while the Omicron variant is significantly different from its counterparts. We demonstrated that there is a quantifiable difference in N-glycosylation profiles among different spike variants. The current study and observations herein provide a valuable framework for quantitative N-glycosylation profiling of new emerging viral variants and give us a more comprehensive picture of COVID-19 evolution.

Heparan sulfate (HS) is a sulfated polysaccharide with a wide range of biological activities. There is an increasing interest in the development of structurally homogeneous HS oligosaccharides as therapeutics. However, the factors influencing the pharmacokinetic properties of HS-based therapeutics remain unknown. Here, we report the pharmacokinetic properties of a panel of dodecasaccharides (12-mers) with varying sulfation patterns in healthy mice and uncover the pharmacokinetic properties of an octadecasaccharide (18-mer) in acutely injured mice. In the 12-mer panel, 1 12-mer, known as dekaparin, is anticoagulant, and 3 12-mers are nonanticoagulant. The concentrations of 12-mers in plasma and urine were determined by the disaccharide analysis using liquid chromatography coupled with tandem mass spectrometry. We observed a striking difference between anticoagulant and nonanticoagulant oligosaccharides in the 12-mer panel, showing that anticoagulant dekaparin had a 4.6-fold to 8.6-fold slower clearance and 4.4-fold to 8-fold higher plasma exposure compared to nonanticoagulant 12-mers. We also observed that the clearance of HS oligosaccharides is impacted by disease. Using an antiinflammatory 18-mer, we discovered that the clearance of 18-mer is reduced 2.8-fold in a liver failure mouse model compared to healthy mice. Our results suggest that oligosaccharides are rapidly cleared renally if they have low interaction with circulating proteins. We observed that the clearance rate of oligosaccharides is inversely associated with the degree of binding to target proteins, which can vary in response to pathophysiological conditions. Our findings uncover a contributing factor for the plasma and renal clearance of oligosaccharides which will aid the development of HS-based therapeutics.