N-glycan Structures Research Articles

Improving the N-glycosylation occupancy of plant-produced IgG1 by engineering the amino acid environment at Asn297

Monoclonal antibodies are crucial recombinant biopharmaceuticals, with N-glycosylation at Asn297 essential for their functionality. Plants are increasingly used for antibody production, achieving high expression levels and enabling glycoengineering to produce homogenous human-like N-glycan structures. However, plant-produced human IgG1 often shows significant underglycosylation with potential adverse effects for immune functions and stability. This study addressed this limitation of the widely used plant-based expression platform Nicotiana benthamiana by employing protein engineering to enhance N-glycosylation occupancy in plant-produced IgG1. This was achieved through an amino acid mutation near the conserved glycosylation site in the CH2 domain of the heavy chain. The transient expression of trastuzumab and SARS-CoV-2 neutralizing IgG1 antibody COVA2-15 in N. benthamiana, with mutations such as Y300L, resulted in a notable improvement in glycosylation occupancy. While the structural integrity and monodispersity of the IgG1 variant remained unaltered, an improvement in thermal stability was observed. Furthermore, functional assays showed that antigen binding and human hFcRn interaction were unaffected, while FcγRIIIa binding affinity increased. These findings demonstrate the potential of protein-engineering to enhance the quality and functionality of plant-produced IgG1 antibodies, making them comparable to mammalian-produced counterparts.

Structural and Functional Glycosylation of the Abdala COVID-19 Vaccine.

Abdala is a COVID-19 vaccine produced in Pichia pastoris and is based on the receptor-binding domain (RBD) of the SARS-CoV-2 spike. Abdala is currently approved for use in multiple countries with clinical trials confirming its safety and efficacy in preventing severe illness and death. Although P. pastoris is used as an expression system for protein-based vaccines, yeast glycosylation remains largely uncharacterised across immunogens. Here, we characterise N-glycan structures and their site of attachment on Abdala and show how yeast-specific glycosylation decreases binding to the ACE2 receptor and a receptor-binding motif (RBM) targeting antibody compared to the equivalent mammalian-derived RBD. Reduced receptor and antibody binding is attributed to changes in conformational dynamics resulting from N-glycosylation. These data highlight the critical importance of glycosylation in vaccine design and demonstrate how individual glycans can influence host interactions and immune recognition via protein structural dynamics.

Comparative analysis of the structure and content of N-glycans from different commercial whey protein materials.

Infant formulas are constantly being updated and upgraded, and N-glycans are functional glycans that have not been fully exploited to date. Commercial whey protein materials are often used as basic ingredients in infant formulas. Therefore, it is important to study N-glycans in commercial whey protein materials. We used matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) and ion chromatography to analyze N-glycans in bovine lactoferrin (Lf), whey protein isolate (WPI), whey protein concentrate 70 (WPC 70), goat whey protein powder 50, demineralized whey powder 90 (D90), and desalted goat whey powder. The results showed that 30, 6, 28, 16, 8, and 9 N-glycans were found in Lf, D90, desalted goat whey powder, WPI, WPC 70, and goat whey protein powder 50, respectively. A total of four structures of N-glycans were detected in this study. Only bovine Lf and WPC 70 contained fucosylated and sialylated binding (SFN-type) glycan structures. Regarding content, WPC 70 showed the highest yield of 14.5mg/g, and the degree of sialylation was higher than fucosylation. This study provides a potential basis for the future use of commercial whey protein materials in dairy products such as infant formula.

Identification and comparison of N-glycome profiles from common dietary protein sources

The N-glycomes of bovine whey, egg white, pea, and soy protein isolates are described here. Glycoproteins from four protein isolates were analyzed by HILIC high performance liquid chromatography and quadrupole time-of-flight tandem mass spectrometry (HILIC-FLD-QTOF-MS/MS). A total of 33 N-glycans were identified from bovine whey and egg white, and 10 structures from soy and pea glycoproteins. The type of N-glycans per glycoprotein source were attributable to differences in biosynthetic glycosylation pathways. Animal glycoprotein sources favored a combination of complex and hybrid glycan configurations, while the plant proteins were dominated by oligomannosidic N-glycans. Bovine whey glycoprotein isolate contained the most diverse N-glycans by monosaccharide composition as well as structure, while plant sources such as pea and soy glycoprotein isolates contained an overlap of oligomannosidic N-glycans. The results suggest N-glycan structure and composition is dependent on the host organism which are driven by the differences in N-glycan biosynthetic pathways.

Carbohydrate-mediated interactions between chloroviruses and the immune system

Understanding the molecular mechanisms which drive and modulate host-pathogen interactions are essential when designing effective therapeutic and diagnostic approaches aimed at controlling infectious diseases. Certain large and giant viruses have recently been discovered as components of the human virome, yet little is known about their interactions with the host immune system. We have dissected the role of viral N-linked glycans during the interaction between the glycoproteins from six chloroviruses (belonging to three chlorovirus classes: NC64A, SAG, and Osy viruses) and the representative carbohydrate-binding receptors of the innate immune system. Using solid-phase assays we have identified the binding of viral glycoproteins to different C-type lectins in a carbohydrate-dependent manner. These experiments verified the importance of D-rhamnose in modulating their binding to C-type lectins DC-SIGN and Langerin. In vitro assays further determined the ability of the chlorovirus glycoproteins to trigger secretion of cytokines Interleukins 6 and 10 (IL-6 and IL-10) in human monocyte-derived dendritic cells and mouse macrophages. Additionally, IgG from healthy human controls recognized certain chlorovirus glycoproteins, indicating the significance of human environmental viral exposures. Collectively, these results demonstrate the ability of the innate and adaptive immune systems to recognize chlorovirus glycoproteins, a process dependent on their specific N-glycan structures.

Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma

BackgroundWorldwide, hepatocellular carcinoma (HCC) is the second most lethal cancer, although early-stage HCC is amenable to curative treatment and can facilitate long-term survival. Early detection has proved difficult, as proteomics, transcriptomics, and genomics have been unable to discover suitable biomarkers.MethodsTo find new biomarkers of HCC, we utilized a spatial omics N-glycan imaging method to identify altered glycosylation in cancer tissue (n = 53) and in paired serum of individuals with HCC (n = 23). Glycoproteomics identified the glycoproteins carrying these N-glycan structures, and we utilized an antibody array-based glycan imaging method to examine all the N-glycans associated with the identified glycoproteins. N-glycans from the examined glycoproteins were used to create machine learning algorithms, which were tested in a case-control sample set of 100 patients with cirrhosis and HCC and 101 matched patients with cirrhosis alone.ResultsSpatial glycan imaging identifies thirteen branched, fucosylated, and high mannose glycans as altered in HCC tissue and in matched patient serum. Glycoproteomics identifies over 50 proteins containing these changes, of which sixteen glycoproteins were selected for further testing in an independent patient set. Algorithms using a combination of glycan and glycoproteins accurately differentiate early-stage and all HCC from cirrhosis with AUROC values of 0.88–0.97.ConclusionsIn conclusion, we present the development and application of a new biomarker platform, which can identify effective biomarkers for the early detection of HCC. This platform may also apply to other diseases, in which changes in N-linked glycosylation are known to occur.

Total cell N-glycosylation is altered during differentiation of induced pluripotent stem cells to neural stem cells and is disturbed by trisomy 21.

Down syndrome (DS), a genetic condition caused by trisomy 21 (T21), manifests various neurological symptoms, including intellectual disability, early neurodegeneration, and early-onset dementia. N-glycosylation is a protein modification that plays a critical role in numerous neurobiological processes and whose dysregulation is associated with a range of neurological disorders. However, whether N-glycosylation of neural glycoproteins is affected in DS has not been studied. To better understand how T21 affects N-glycosylation during neural differentiation, we utilized an isogenic in vitro induced pluripotent stem cell (iPSC) model of T21 in which both T21 and euploid disomic karyotype (D21) clones were obtained from a single individual with mosaic DS. We comprehensively characterized and compared the total N-glycomes of iPSCs and their neural stem cell (NSC) derivatives. N-glycomics analysis of whole cell lysates was performed using liquid chromatography coupled with tandem mass spectrometry to determine N-glycan structures. Our results show that neural differentiation of iPSCs to NSCs is characterized by an increase in the abundance of complex N-glycans at the expense of minimally processed mannosidic N-glycans. Moreover, we found differences in N-glycosylation patterns between D21 and T21 cells. Notably, the abundance of pseudohybrid N-glycans was significantly higher in T21 cells which also exhibited a significantly lower abundance of a specific hybrid monoantennary fucosylated N-glycan (H6N3F1). Overall, our data define the total N-glycome of both D21 and T21 iPSCs and NSCs and show that T21 already impacts N-glycosylation patterns in the stem cell state in a manner consistent with aberrantly premature neural differentiation of T21 cells.

Processing of N-glycans in the ER and Golgi influences the production of surface sialylated glycoRNA.

Glycoconjugates, including glycans on proteins and lipids, have obtained significant attention due to their critical roles in both intracellular and intercellular biological functions and processes. Notably, recent discoveries have revealed the presence of glycosylated RNAs (glycoRNAs) on cell surfaces. Despite the well-characterized roles of RNA modifications, RNA glycosylation remains relatively unexplored. In this study, we investigate the relationship between N-glycosylation and RNA glycosylation. Using a recombinant Siglec11-Fc as a probe, we detected surface sialylated glycoRNAs in human cell lines and identified their dependency on the catalytic isoforms of the oligosaccharyltransferase (OST) complex, implicating STT3A-dependent protein glycosylation as a predominant contributor for affecting indirect generation of glycoRNAs. Additionally, perturbations in N-glycan biosynthesis pathways or changes in N-glycan structure impact surface sialylated glycoRNA levels, indicating a regulatory role of glycan metabolic pathways in RNA glycosylation. Together, our results underscore the intricate relationship between protein N-glycosylation and processing and RNA biology.

Non-targeted N-glycome profiling reveals multiple layers of organ-specific diversity in mice

N-glycosylation is one of the most common protein modifications in eukaryotes, with immense importance at the molecular, cellular, and organismal level. Accurate and reliable N-glycan analysis is essential to obtain a systems-wide understanding of fundamental biological processes. Due to the structural complexity of glycans, their analysis is still highly challenging. Here we make publicly available a consistent N-glycome dataset of 20 different mouse tissues and demonstrate a multimodal data analysis workflow that allows for unprecedented depth and coverage of N-glycome features. This highly scalable, LC-MS/MS data-driven method integrates the automated identification of N-glycan spectra, the application of non-targeted N-glycome profiling strategies and the isomer-sensitive analysis of glycan structures. Our delineation of critical sub-structural determinants and glycan isomers across the mouse N-glycome uncovered tissue-specific glycosylation patterns, the expression of non-canonical N-glycan structures and highlights multiple layers of N-glycome complexity that derive from organ-specific regulations of glycobiological pathways.

3D structural insights into the effect of N-glycosylation in human chitotriosidase variant G102S

BackgroundN-glycosylation is a key post-translational modification critical for protein function and stability. Chitotriosidase-1 (CHIT1), belonging to glycoside hydrolase family 18, is clinically utilized as a biomarker of Gaucher disease. A G102S variant is common in some populations, but the implications of this missense mutation on CHIT1 function and in disease pathology are unknown. We have investigated the effects of the G102S mutation on the N-glycosylation, structure, and activity of CHIT1. MethodsThree recombinant CHIT1 proteins, wild-type (WT), G102S, and N100Q+G102S double mutants, were expressed, purified, and analyzed for glycosylation using SDS-PAGE, MALDI-MS, PNGase F treatment, and lectin blotting. NMR and LC-MS/MS were employed to characterize glycan structures. Enzymatic assays and molecular dynamics simulations were used to assess the effects of mutations on CHIT1 function and dynamics. ResultsThe G102S mutation introduced a new N-glycosylation site at N100, confirmed by SDS-PAGE and MALDI-MS, and the composition of the N-glycan structures was verified by lectin blotting, NMR, and MS. Both G102S and N100Q+G102S proteins exhibited reduced catalytic efficiency compared to WT. Molecular dynamics simulations suggested that G102S mutation induces significant structural changes and reduces stability, particularly without N-glycan, likely impairing substrate binding and enzymatic activity. ConclusionOur findings indicate that the common G102S mutation affects the structure and function of CHIT1, partially by introducing a new N-glycosylation site. They provide a foundation for further research on the impact of N-glycosylation on its hydrolase activity and structural dynamics, with potential implications for understanding the role of CHIT1 in Gaucher disease.

The Coordinated Changes in Platelet Glycan Patterns with Blood Serotonin and Exosomes.

The structures of glycans, specifically their terminal positions, play an important role as ligands for receptors in regulating the adhesion ability of platelets. Recent advances in our understanding of free/unbound serotonin (5-HT) in blood plasma at supraphysiological levels implicate it as one of the most profound influencers in remodeling the platelet's surface N-glycans. Proteomic analysis of the membrane vesicles identified enzymes, specifically glycosyltransferases, only on the surface of the platelets isolated from the supraphysiological level of 5-HT-containing blood plasma. However, these enzymes can only be effective on the cell surface under certain biological conditions, such as the level of their substrates, temperature, and pH of the environment. We hypothesize that exosomes released from various cells coordinate the required criteria for the enzymatic reaction on the platelet surface. The elevated plasma 5-HT level also accelerates the release of exosomes from various cells, as reported. This review summarizes the findings from a wide range of literature and proposes mechanisms to coordinate the exosomes and plasma 5-HT in remodeling the structures of N-glycans to make platelets more prone to aggregation.

Identification and quantification of unreported sialylated N-glycan isomers with α2-3 and α2-6 linkages in the egg yolk protein phosvitin

Phosvitin (PV), a highly phosphorylated protein found in chicken egg yolk, possesses multiple bioactivities (including anti-aging and anticancer) and functional properties (including emulsifier and metal-binding capacities). The carbohydrate moiety attached to PV has been reported, but its N-glycan structure is unknown. In this study, we performed structural and quantitative analyses of N-glycans from PV using liquid chromatography-tandem mass spectrometry (MS/MS). N-glycan structures were identified using observed precursor ion m/z and MS/MS fragment ions. Each quantity was obtained relative to the total N-glycans (100%). Thirty-seven N-glycans were identified, including 22 sialylations with a negative charge (a sum of the relative quantity of each, 96.4%) comprising 13 mono- (31.6%), 7 di- (57.5%), 2 tri- (7.3%) sialylations. The sialylated N-glycan isomers with α2-3 (flexible conformation) and α2-6 (rigid conformation) linkages were distinguished using α2-3- and α2-3,6 sialidase treatments and intensity ratios of the N-acetylglucosamine and sialic acid ions (Ln/Nn) with different fragmentation stabilities. The α2-6/α2-6 (53.8%), α2-6 (31.6%), α2-3/α2-6/α2-6 (6.5%), and α2-3/α2-6 (3.7%) linkages in mono-, di, or tri-antennary structures were identified. These negatively charged structures may affect the emulsification and metal-binding capacity of PV. This is the first study to identify and quantify N-glycans in PV, including predominantly 22 sialylated N-glycan isomers with more rigid α2-6 linkages than α2-3 linkages.

Selective bioorthogonal probe for N-glycan hybrid structures.

Metabolic incorporation of chemically tagged monosaccharides is a facile means of tagging cellular glycoproteins and glycolipids. However, since the monosaccharide precursors are often shared by several pathways, selectivity has been difficult to attain. For example, N-linked glycosylation is a chemically complex and ubiquitous posttranslational modification, with three distinct classes of GlcNAc-containing N-glycan structures: oligomannose, hybrid and complex. Here we describe the synthesis of 1,3-Pr2-6-OTs GlcNAlk (MM-JH-1) as a next-generation metabolic chemical reporter for the selective labeling of hybrid N-glycan structures. We first developed a general strategy for defining the selectivity of labeling with chemically tagged monosaccharides. We then applied this approach to establish that MM-JH-1 is selectively incorporated into hybrid N-glycans. Using this metabolic chemical reporter as a detection tool, we performed imaging and fractionation to define features of the intracellular localization and trafficking of target proteins bearing hybrid N-glycan structures.

Investigation of Fibrillar Aggregates Formed by Pathogenic Pre-Pro-Vasopressin Mutants that Cause ADNDI.

Aggregations of unfolded or misfolded proteins, both inside and outside cells, are implicated in numerous diseases, collectively known as amyloidosis. Particularly, Autosomal dominant neurohypophyseal diabetes insipidus (ADNDI) is a rare disease caused by mutations in the AVP-NPII gene, leading to the inability to secrete arginine vasopressin (AVP). These misfolded proteins accumulate within the endoplasmic reticulum (ER), causing cellular dysfunction. This study aimed to investigate the formation of amyloid-like aggregates within the cell resulting from misfolded mutant precursor proteins, which induce disulfide-linked oligomers due to the G45C, 207_209delGGC, G88V, C98X, C104F, E108D-1, E108D-2 and R122H mutations identified by our group in the AVP-NPII gene of ADNDI patients. De-glycosylation studies were performed to analyze the glycosylation patterns of mutant protein precursors. The involvement of these precursors in the ER-related degradation pathway was studied by conducting protease inhibition experiments. Disulfide-linked oligomer analysis determined the oligomerization status of the mutant precursors. Immunofluorescence and electron microscopy studies provided evidence of aggregate structures in the ER lumen. In vitro studies involving bacterial expression and fibril formation in E. coli. Our findings demonstrated that the N-glycan structure of mutant precursors remains intact within the ER. Protease inhibition experiments indicated the involvement of these precursors in the ER-related degradation pathway. Disulfide-linked oligomer analysis revealed homo-oligomer structures in mutations. Immunofluorescence and electron microscopy studies confirmed the presence of aggregate structures in the ER lumen. In vitro studies showed that mutant precursors could form fibril structures in E. coli. Our study may support the idea that ADNDI belongs to the group of neurodegenerative diseases due to the formation of fibrillar amyloid aggregates in the cell.

The crystal structure of Nictaba reveals its carbohydrate-binding properties and a new lectin dimerization mode.

Nictaba is a (GlcNAc)n-binding, stress-inducible lectin from Nicotiana tabacum that serves as a representative for the Nictaba-related lectins, a group of proteins that play pivotal roles in plant defense mechanisms and stress response pathways. Despite extensive research into biological activities and physiological role(s) of the lectin, the three-dimensional structure of Nictaba remained largely unknown. Here, we report crystal structures for Nictaba in the apo form and bound to chitotriose. The structures reveal that the Nictaba protomer has a jelly-roll fold, similar to the cucumber lectin Cus17, but exhibit a unique and previously unseen mode of dimerization. The chitotriose binding mode, similar to Cus17, centers around the central GlcNAc residue, providing insights into the determinants of specificity of Nictaba towards carbohydrate structures. By integrating these structural insights with inputs from glycan arrays, molecular docking, and molecular dynamics simulations, we propose that Nictaba employs a single carbohydrate-recognition domain within each of the two subunits in the dimer to display pronounced specificity towards GlcNAc-containing carbohydrates. Furthermore, we identified amino acid residues involved in the extended binding site capable of accommodating structurally diverse high-mannose and complex N-glycans. Glycan array and in silico analyses revealed interactions centered around the conserved Man3GlcNAc2 core, explaining the broad recognition of N-glycan structures. Collectively, the structural and biochemical insights presented here fill a void into the atlas of lectin structure-function relationships and pave the way for future developments in plant stress biology and lectin-based applications.

A glycan biomarker predicts cognitive decline in amyloid- and tau-negative patients.

Early detection of Alzheimer's disease is vital for timely treatment. Existing biomarkers for Alzheimer's disease reflect amyloid- and tau-related pathology, but it is unknown whether the disease can be detected before cerebral amyloidosis is observed. N-glycosylation has been suggested as an upstream regulator of both amyloid and tau pathology, and levels of the N-glycan structure bisecting N-acetylglucosamine (GlcNAc) correlate with tau in blood and CSF already at pre-clinical stages of the disease. Therefore, we aimed to evaluate whether bisecting GlcNAc could predict future cognitive decline in patients from a memory clinic cohort, stratified by amyloid/tau status. We included 251 patients (mean age: 65.6 ± 10.6 years, 60.6% female) in the GEDOC cohort, from the Memory Clinic at Karolinska University Hospital, Stockholm, Sweden. Patients were classified as amyloid/tau positive or negative based on CSF biomarkers. Cognitive decline, measured by longitudinal Mini-Mental State Examination scores, was followed for an average of 10.7 ± 4.1 years and modelled using non-linear mixed effects models. Additionally, bisecting GlcNAc levels were measured in hippocampus and cortex with lectin-based immunohistochemistry in 10 Alzheimer's disease and control brains. We found that CSF bisecting GlcNAc levels were elevated in tau-positive individuals compared with tau-negative individuals, but not in amyloid-positive individuals compared with amyloid-negative individuals. In the whole sample, high levels of CSF bisecting GlcNAc predicted earlier cognitive decline. Strikingly, amyloid/tau stratification showed that high CSF bisecting GlcNAc levels predicted earlier cognitive decline in amyloid-negative patients (β = 2.53 ± 0.85 years, P = 0.003) and tau-negative patients (β = 2.43 ± 1.01 years, P = 0.017), but not in amyloid- or tau-positive patients. Finally, histochemical analysis of bisecting GlcNAc showed increased levels in neurons in hippocampus and cortex of Alzheimer's disease compared with control brain (fold change = 1.44-1.49, P < 0.001). In conclusion, high CSF levels of bisecting GlcNAc reflected neuronal pathology and predicted cognitive decline in amyloid- and tau-negative individuals, suggesting that abnormal glycosylation precedes cerebral amyloidosis and tau hyper-phosphorylation in Alzheimer's disease. Bisecting GlcNAc is a promising novel early biomarker for Alzheimer's disease.

Structural and quantitative characterization of membrane N-glycans from MIN6 mouse pancreatic beta cells using liquid chromatography-quadrupole-Orbitrap tandem mass spectrometry

MIN6, a mouse pancreatic beta cell line, is used in diabetes research, and the cellular N-glycoproteins in membrane are important in regulating the metabolism of insulin secretion. However, the identities of N-glycans in MIN6 cells are yet to be fully elucidated. In this study, the structures of N-glycans were analyzed using liquid chromatography-electrospray ionization-higher energy collisional dissociation-tandem mass spectrometry. The abundances (%) of each N-glycan relative to the total N-glycans (100 %) were also obtained. Fifty N-glycans (with relative abundance of each > 0.5 %) were obtained, revealing 22 bisecting N-acetylglucosamine (GlcNAc; associated with cell adhesion and growth; sum of relative abundance of each: 27.1 %), 21 core-fucosylated (associated with glucose sensing and insulin secretion regulation; 28.3 %), and 16 sialylated (N-acetylneuraminic acid; related to the expression of glucose transporters and diabetes;15.5 %) N-glycans. Membranes contained higher bisecting GlcNAc and core-fucosylation, similar sialylation, but less high-mannosylation than the lysate (the cellular contents). Notably, all bisecting GlcNAc N-glycans were categorized into structures with (16.6 %) or without (10.5 %) core-fucosylation and with (6.9 %) or without (20.2 %) sialylation. The bisecting GlcNAc structures were not found in human islets; moreover, sialylation levels were 6.9 times higher than for human islets. These structural characteristics of N-glycans affect their cell adhesion and distribution through homologous interactions between beta cells, leading to increased insulin secretion efficiency. This study is the first to identify the structures and quantities of 50 N-glycans in MIN6 cell membranes that may play an important role in regulating the functions of pancreatic beta cells.

GlyCompute: towards the automated analysis of protein N-linked glycosylation kinetics via an open-source computational framework.

Understanding the complex biosynthetic pathways of glycosylation is crucial for the expanding field of glycosciences. Computer-aided glycosylation analysis has greatly benefited in recent years from the development of tools found in web-based portals and open-source libraries. However, the in silico analysis of cellular glycosylation kinetics is underrepresented in current glycoscience-related tools and databases. This could be partly attributed to the limited accessibility of kinetic models developed using proprietary software and the difficulty in reliably parameterising such models. This work aims to address these challenges by proposing GlyCompute, an open-source framework demonstrating a novel, streamlined approach for the assembly, simulation, and parameterisation of kinetic models of protein N-linked glycosylation. Specifically, given one or more sets of experimentally observed N-glycan structures and their relative abundances, minimum representations of a glycosylation reaction network are generated. The topology of the resulting networks is then used to automatically assemble the material balances and kinetic mechanisms underpinning the mathematical model. To match the experimentally observed relative abundances, a sequential parameter estimation strategy using Bayesian inference is proposed, with stages determined automatically based on the underlying network topology. The proposed framework was tested on a case study involving the simultaneous fitting of the kinetic model to two protein N-linked glycoprofiles produced by the same CHO cell culture, showing good agreement with experimental observations. We envision that GlyCompute could help glycoscientists gain quantitative insights into the effect of enzyme kinetics and their perturbations on experimentally observed glycoprofiles in biomanufacturing and clinical settings.

Structural and quantitative comparison of viral infection-associated N-glycans in plasma from humans, pigs, and chickens: Greater similarity between humans and chickens than pigs

Host N-glycans play an essential role in the attachment, invasion, and infection processes of viruses, including zoonotic infectious diseases. The similarity of N-glycans in the trachea and lungs of humans and pigs facilitates the cross-species transmission of influenza viruses through respiratory tracts. In this study, the structure and quantity of N-glycans in the plasma of humans, pigs, and chickens were analyzed using liquid chromatography-quadrupole-Orbitrap-tandem mass spectrometry. N-glycans in humans (35), pigs (28), and chickens (53) were identified, including the most abundant, species-common, and species-specific N-glycans. Among the N-glycans (relative quantity >0.5%), the sialic acid derivative of N-acetylneuraminic acid was identified in humans (the sum of the relative quantities of each; 64.3%), pigs (45.5%), and chickens (64.4%), whereas N-glycolylneuraminic acid was only identified in pigs (18.1%). Sialylated N-glycan linkage isomers are the influenza virus receptors (α2-6 in humans, α2-3 and α2-6 in pigs, and α2-3 in chickens). Only α2-6 linkages (human, 58.2%; pig, 44.8%; and chicken, 60.6%) were more abundant than α2-3/α2-6 linkages (human, 4.6%; pig, 0.6%; and chicken, 3.4%) and only α2-3 linkages (human, 1.5%; pig, 0.1%; and chicken, 0.4%). Fucosylation, which can promote viral infection through immune modulation, was more abundant in pigs (76.1%) than in humans (36.4%) and chickens (16.7%). Bisecting N-acetylglucosamine, which can suppress viral infection by inhibiting sialylation, was identified in humans (10.3%) and chickens (16.9%), but not in pigs. These results indicate that plasma N-glycans are similar in humans and chickens. This is the first study to compare plasma N-glycans in humans, pigs, and chickens.

2,2-Difluoro Derivatives of Fucose Can Inhibit Cell Surface Fucosylation without Causing Slow Transfer to Acceptors.

Fucosyl transferases (FUTs) are enzymes that transfer fucose (Fuc) from GDP-Fuc to acceptor substrates, resulting in fucosylated glycoconjugates that are involved in myriad physiological and disease processes. Previously, it has been shown that per-O-acetylated 2-F-Fuc can be taken up by cells and converted into GDP-2-F-Fuc, which is a competitive inhibitor of FUTs. Furthermore, it can act as a feedback inhibitor of de novo biosynthesis of GDP-Fuc resulting in reduced glycoconjugate fucosylation. However, GDP-2-F-Fuc and several other reported analogues are slow substrates, which can result in unintended incorporation of unnatural fucosides. Here, we describe the design, synthesis, and biological evaluation of GDP-2,2-di-F-Fuc and the corresponding prodrugs as an inhibitor of FUTs. This compound lacks the slow transfer activity observed for the monofluorinated counterpart. Furthermore, it was found that GDP-2-F-Fuc and GDP-2,2-di-F-Fuc have similar Ki values for the various human fucosyl transferases, while the corresponding phosphate prodrugs exhibit substantial differences in inhibition of cell surface fucosylation. Quantitative sugar nucleotide analysis by Liquid chromatography-mass spectrometry (LC-MS) indicates that the 2,2-di-F-Fuc prodrug has substantially greater feedback inhibitory activity. It was also found that by controlling the concentration of the inhibitor, varying degrees of inhibition of the biosynthesis of different types of fucosylated N-glycan structures can be achieved. These findings open new avenues for the modulation of fucosylation of cell surface glycoconjugates.