Glycan Sequences Research Articles

Glycan Sequence‐Dependent Nod2 Activation Investigated by Using a Chemically Synthesized Bacterial Peptidoglycan Fragment Library

Nucleotide oligomerization domain-containing protein 2 (Nod2), an innate immune receptor, recognizes bacterial cell-wall peptidoglycan (PGN), the minimum ligand of which is muramyl dipeptide (MDP). Enzymatic digestion of PGN appears to be important for Nod2 recognition. PGN is degraded by muramidase or glucosamidase through a process that produces two types of glycan sequence; glycans containing GlcNAcβ(1→4)MurNAc or MurNAcβ(1→4)GlcNAc. In this report, a range of disaccharide or tetrasaccharide fragments of each sequence were chemically synthesized, and their activities in stimulating human Nod2 (hNod2) were investigated. The results reveal that hNod2 recognitions is dependent on the glycan sequence, as demonstrated by comparing the activities of glycans with the same peptide moieties. (MurNAcβ(1→4)GlcNAc)(2) -containing structures exhibited stronger activity than those containing (GlcNAcβ(1→4)MurNAc)(2) . The results suggest that differences in the enzymatic degradation process affect the host's immunomodulation process.

N-Glycan Structure Modeling and in Silico Glycosylation: Template-Based Structure Prediction of Carbohydrate Structures of Glycoconjugates

Obtaining the crystal structure of glycoconjugate is challenging due to the flexibility of the carbohydrate chains. Alternatively, computational modeling, which combines the primary sequence information of glycans determined by the mass spectrometry and known N-glycan structure, is an appealing approach. Here we present a survey of N-glycan structures of 35 different glycan sequences in the PDB, showing that N-glycan structures found on homologous glycoproteins are significantly conserved compared to the random background. This suggests that N-glycan chains can be confidently modeled to a glycoprotein if there exists a template N-glycan structure whose parent glycoprotein shares sequence similarity. On the other hand, N-glycan structures found on non-homologous glycoproteins have not shown significant structure similarity. However, despite that the global N-glycan structures are different, the internal substructure of those N-glycans found on the non-homologous glycoproteins, particularly, the substructure that are closer to the protein, showed significantly similar structure. Increased interaction with protein might be responsible to the restricted conformational space of N-glycan chains. Our results so far suggest that computational structure prediction of N-glycan portion of glycoconjugate using structure database would be effective, but different approaches must be needed depending on the availability of template structure. In addition, we also present a database for PDB glycan structural fragments (substructures) as well as PDB glycan-protein database, which are useful for glycan structure modeling.

Glycoproteomics on the rise: Established methods, advanced techniques, sophisticated biological applications

Glycosylation is the most complex form of protein PTMs. Affected proteins may carry dozens of glycosylation sites with tens to hundreds of glycan residues attached to every site. Glycosylated proteins have many important functions in biology, from cellular to organismal levels, being involved in cell-cell signaling, cell adhesion, immune response, host-pathogen interactions, and development and growth. Glycosylation, however, expands the biological functional diversity of proteins at the expense of a tremendous increase in structural heterogeneity. Aberrant glycosylation of cell surface proteins, as well as their detectable fingerprint in plasma samples, has been associated with cancer, inflammatory and degenerative diseases, and congenital disorders of glycosylation. Therefore, there are on-going efforts directed toward developing new technologies and approaches for glycan sequencing and high-throughput analysis of glycosylated proteins in complex samples with simultaneous characterization of both the protein and glycan moieties. This work is aimed primarily at pinpointing the challenges associated with the large-scale analysis of glycoproteins and the latest developments in glycoproteomic research, with focus on recent advancements (2011-2012) in microcolumn separations and MS detection.

Functional Glycomic Analysis of Human Milk Glycans Reveals the Presence of Virus Receptors and Embryonic Stem Cell Biomarkers

Human milk contains a large diversity of free glycans beyond lactose, but their functions are not well understood. To explore their functional recognition, here we describe a shotgun glycan microarray prepared from isolated human milk glycans (HMGs), and our studies on their recognition by viruses, antibodies, and glycan-binding proteins (GBPs), including lectins. The total neutral and sialylated HMGs were derivatized with a bifunctional fluorescent tag, separated by multidimensional HPLC, and archived in a tagged glycan library, which was then used to print a shotgun glycan microarray (SGM). This SGM was first interrogated with well defined GBPs and antibodies. These data demonstrated both the utility of the array and provided preliminary structural information (metadata) about this complex glycome. Anti-TRA-1 antibodies that recognize human pluripotent stem cells specifically recognized several HMGs that were then further structurally defined as novel epitopes for these antibodies. Human influenza viruses and Parvovirus Minute Viruses of Mice also specifically recognized several HMGs. For glycan sequencing, we used a novel approach termed metadata-assisted glycan sequencing (MAGS), in which we combine information from analyses of glycans by mass spectrometry with glycan interactions with defined GBPs and antibodies before and after exoglycosidase treatments on the microarray. Together, these results provide novel insights into diverse recognition functions of HMGs and show the utility of the SGM approach and MAGS as resources for defining novel glycan recognition by GBPs, antibodies, and pathogens.

Glycan fragment database: a database of PDB-based glycan 3D structures

The glycan fragment database (GFDB), freely available at http://www.glycanstructure.org, is a database of the glycosidic torsion angles derived from the glycan structures in the Protein Data Bank (PDB). Analogous to protein structure, the structure of an oligosaccharide chain in a glycoprotein, referred to as a glycan, can be characterized by the torsion angles of glycosidic linkages between relatively rigid carbohydrate monomeric units. Knowledge of accessible conformations of biologically relevant glycans is essential in understanding their biological roles. The GFDB provides an intuitive glycan sequence search tool that allows the user to search complex glycan structures. After a glycan search is complete, each glycosidic torsion angle distribution is displayed in terms of the exact match and the fragment match. The exact match results are from the PDB entries that contain the glycan sequence identical to the query sequence. The fragment match results are from the entries with the glycan sequence whose substructure (fragment) or entire sequence is matched to the query sequence, such that the fragment results implicitly include the influences from the nearby carbohydrate residues. In addition, clustering analysis based on the torsion angle distribution can be performed to obtain the representative structures among the searched glycan structures.

MUC1 glycopeptide epitopes predicted by computational glycomics

Bioinformatic tools and databases for glycobiology and glycomics research are playing increasingly important roles in functional studies. However, to verify hypotheses generated by computational glycomics with empirical functional assays is only an emerging field. In this study, we predicted glycan epitopes expressed by a cancer-derived mucin, MUC1, by computational glycomics. MUC1 is expressed by tumor cells with a deficiency in glycosylation. Although numerous diagnostic reagents and cancer vaccines have been designed based on abnormally glycosylated MUC1 sequences, the glycan and peptide sequences responsible for immune responses in vivo are poorly understood. The immunogenicity of synthetic MUC1 glycopeptides bearing Tn or sialyl-Tn antigens have been studied in mouse models, while authentic glyco-epitopes expressed by tumor cells remain unclear. To examine the immunogenicity of authentic cancer derived MUC1 glyco-epitopes, we expressed membrane bound forms of MUC1 tandem repeats in Jurkat, a mutant cancer cell line deficient of mucin-type core-1 β1–3 galactosyltransferase activity, and immunized mice with cancer cells expressing authentic MUC1 glyco-epitopes. Antibody responses to individual glyco-epitopes were determined by chemically synthesized candidate MUC1 glycopeptides predicted through computational glycomics. Monoclonal antibodies can be generated toward chemically synthesized glycopeptide sequences. With RPAPGS(Tn)TAPPAHG as an example, a monoclonal antibody 16A, showed 25-fold higher binding to glycosylated peptide (EC50=9.278±1.059 ng/ml) compared to its non-glycosylated form (EC50=247.3±16.29 ng/ml) as measured by ELISA experiments with plate-bound peptides. A library of monoclonal antibodies toward authentic MUC1 glycopeptide epitopes may be a valuable tool for studying glycan and peptide sequences in cancer, as well as reagents for diagnosis and therapy.

Histochemical identification of sialylated glycans in Xenopus laevis testis

Carbohydrate chains of glycoprotein and glycosphingolipids are highly diverse molecules involved in many cell functions, including cell recognition, adhesion and signalling. Sialylated glycans are of special interest because the terminal position of sialic acid (NeuAc) in glycans linked by different ways to subterminal monosaccharides has been shown to be involved in several biological processes, as occurs with gangliosides, which have been reported as being essential in spermatogenesis in mammals. Some glycan-binding proteins, the lectins, which specifically recognize glycan sequences, have been extensively used to characterize tissue and cell carbohydrates by means of cytochemical techniques. The aim of the present work was to determine the presence of NeuAc by means of histochemical techniques in the testis of Xenopus laevis, an animal model widely used in cell and molecular biology research. However, considering that some NeuAc-binding lectins are capable of binding to N-acetylglucosamine (GlcNAc), other GlcNAc-binding lectins were also assayed. The results showed that NeuAc is mainly expressed in the interstitium, and only a weak labelling in the male germ cells was observed. Most NeuAc was located in O-linked oligosaccharides, but some masked NeuAc in N-glycans were identified in primary and secondary spermatogonia and spermatocytes. By contrast, GlcNAc was widely expressed in all germ cell types. Deglycosylative pre-treatments suggest that both N- and O-glycans and/or glycolipids could be responsible for this labelling. In addition, GlcNAc in O-linked oligosaccharides has been identified in spermatogonial cells. The acrosome of spermatids was always negative. Variations of glycan expression have been found in different cell types, suggesting that glycosylation is modified during spermatogenetic development.

Glycoprotein analysis using mass spectrometry: unraveling the layers of complexity

A glycoprotein exists as a heterogeneous mixture of forms due to differential glycosylation, each of which may confer different functionality and/or serve as a biochemical marker for disease. The complex structure of glycans make them a bioanalytical challenge requiring multiple mass spectrometry based approaches to gain different types of information. The following article will briefly describe recently utilized mass spectrometry methods to identify glycosylation sites and measure glycan composition, sequence, branching, and relative quantities. Potential metrological developments are discussed in light of current trends toward complete, reliable glycoanalytical characterization in a high-throughput manner.

The immunomodulating roles of glycoproteins in epithelial ovarian cancer

The complexity of the immune system demands an intricate defense mechanism by tumors. Ovarian and other tumors employ specific glycoproteins and the associated glycan sequences to modulate immune responses. Glycoproteins enable tumor cells that express or secrete these molecules to evade immune cell attack and induce the immune system to promote tumor growth. This review focuses first on the immune environment in ovarian cancer, and the mechanisms of activation and inhibition that immune cells undergo in order to either attack or ignore a target cell. Next we illustrate the immunomodulatory roles of ovarian cancer-associated glycans and glycoproteins in 1. preventing immune synapse formation, 2. serving as ligands of immune cell receptors, 3. scavenging cytokines and chemokines, and 4. participating in the formation of autoantibodies against the tumor. The importance of these immunomodulating strategies from the view points of understanding the tumor immunology of ovarian tumors, potential origin of such mechanisms, and specific strategies to circumvent the glycoconjugate-mediated suppression of immune responses is discussed in this review.

The immunomodulating roles of glycoproteins in epithelial ovarian cancer

The complexity of the immune system demands an intricate defense mechanism by tumors. Ovarian and other tumors employ specific glycoproteins and the associated glycan sequences to modulate immune responses. Glycoproteins enable tumor cells that express or secrete these molecules to evade immune cell attack and induce the immune system to promote tumor growth. This review focuses first on the immune environment in ovarian cancer, and the mechanisms of activation and inhibition that immune cells undergo in order to either attack or ignore a target cell. Next we illustrate the immunomodulatory roles of ovarian cancer-associated glycans and glycoproteins in 1. preventing immune synapse formation, 2. serving as ligands of immune cell receptors, 3. scavenging cytokines and chemokines, and 4. participating in the formation of autoantibodies against the tumor. The importance of these immunomodulating strategies from the view points of understanding the tumor immunology of ovarian tumors, potential origin of such mechanisms, and specific strategies to circumvent the glycoconjugate-mediated suppression of immune responses is discussed in this review.

Online enzymatic sequencing of glycans from Trastuzumab by phospholipid‐assisted capillary electrophoresis

CE separations of glycans taken from the cancer drug, Trastuzumab (Herceptin(®)), were accomplished using phospholipid additives. Glycans were labeled with 1-aminopyrene-3,6,8-trisulfonic acid and were separated with efficiencies as high as 510000 theoretical plates in a 60.2 cm 25 μm id fused-silica capillary. The thermally tunable phospholipid was loaded into the capillary when it possessed a viscosity similar to that of water. The temperature was increased, and the separations were performed when the material exhibited higher viscosity. Enzymes were integrated into the separation with the phospholipid additive. Neuraminidase, β1-4 galactosidase, and β-N-acetylglucosaminidase were injected into the capillary without covalent modification and used for enzyme hydrolysis. Exoglycosidase enzymes cleaved the terminal glycan residues. The glycan sequence could be verified based on enzyme specificity. Neuraminidase was used to determine total glycan content of the low-abundance glycans containing sialic acid. β1-4 Galactosidase and β-N-acetylglucosaminidase were used sequentially in-capillary, to determine the structure of the high-abundance glycans.

Cracking the glycan sequence code

For years scientists have debated whether glycans, like DNA, RNA and proteins, have a true sequence. In a recent study, researchers show that the proteoglycan bikunin has a defined and predictable sequence, opening the door for a new understanding of the glycome.

The Role of Sialyl Glycan Recognition in Host Tissue Tropism of the Avian Parasite Eimeria tenella

Eimeria spp. are a highly successful group of intracellular protozoan parasites that develop within intestinal epithelial cells of poultry, causing coccidiosis. As a result of resistance against anticoccidial drugs and the expense of manufacturing live vaccines, it is necessary to understand the relationship between Eimeria and its host more deeply, with a view to developing recombinant vaccines. Eimeria possesses a family of microneme lectins (MICs) that contain microneme adhesive repeat regions (MARR). We show that the major MARR protein from Eimeria tenella, EtMIC3, is deployed at the parasite-host interface during the early stages of invasion. EtMIC3 consists of seven tandem MAR1-type domains, which possess a high specificity for sialylated glycans as shown by cell-based assays and carbohydrate microarray analyses. The restricted tissue staining pattern observed for EtMIC3 in the chicken caecal epithelium indicates that EtMIC3 contributes to guiding the parasite to the site of invasion in the chicken gut. The microarray analyses also reveal a lack of recognition of glycan sequences terminating in the N-glycolyl form of sialic acid by EtMIC3. Thus the parasite is well adapted to the avian host which lacks N-glycolyl neuraminic acid. We provide new structural insight into the MAR1 family of domains and reveal the atomic resolution basis for the sialic acid-based carbohydrate recognition. Finally, a preliminary chicken immunization trial provides evidence that recombinant EtMIC3 protein and EtMIC3 DNA are effective vaccine candidates.

Sialylation and fucosylation of epidermal growth factor receptor suppress its dimerization and activation in lung cancer cells

Protein glycosylation is an important posttranslational process, which regulates protein folding and functional expression. Studies have shown that abnormal glycosylation in tumor cells affects cancer progression and malignancy. In the current study, we have identified sialylated proteins using an alkynyl sugar probe in two different lung cancer cell lines, CL1-0 and CL1-5 with distinct invasiveness derived from the same parental cell line. Among the identified sialylated proteins, epidermal growth factor receptor (EGFR) was chosen to understand the effect of sialylation on its function. We have determined the differences in glycan sequences of EGFR in both cells and observed higher sialylation and fucosylation of EGFR in CL1-5 than in CL1-0. Further study suggested that overexpression of sialyltransferases in CL1-5 and α1,3-fucosyltransferases (FUT4 or FUT6) in CL1-5 and A549 cells would suppress EGFR dimerization and phosphorylation upon EGF treatment, as compared to the control and CL1-0 cells. Such modulating effects on EGFR dimerization were further confirmed by sialidase or fucosidase treatment. Thus, increasing sialylation and fucosylation could attenuate EGFR-mediated invasion of lung cancer cells. However, incorporation of the core fucose by α1,6-fucosylatransferase (FUT8) would promote EGFR dimerization and phosphorylation.

The human epithelial carcinoma antigen recognized by monoclonal antibody AE3 is expressed on a sulfoglycolipid in addition to neoplastic mucins

The term human epithelial carcinoma antigen (HCA) has been applied collectively to mucin-type high molecular weight (>1000kDa) glycoproteins that are over-expressed in epithelial cancers. Since the 1990s, over 40 monoclonal antibodies have been raised that recognize HCA. There has been evidence that the antigenic determinants are mostly carbohydrates, but details have been elusive. Here we have carried out carbohydrate microarray analyses of one of the monoclonal antibodies, AE3, that has been regarded the ‘most carcinoma specific’ in respect to its ability to detect HCA in sera of patients with epithelial cancers. The microarrays encompassed a series of 492 sequence-defined glycan probes in the form of glycolipids and neoglycolipids. We have thus established that the antigen recognized by antibody AE3 is a carbohydrate sequence distinct from the A, B, H, Lewisa/b, Lewisx/y and T antigens, but that it is strongly expressed on the monosulfated tetra-glycosyl ceramide, SM1a, Galβ1-3GalNAcβ1-4(3-O-sulfate)Galβ1-4GlcCer. This is the first report of an anti-HCA to be characterized with respect to its recognition sequence and of the occurrence of the antigen on a glycolipid as well as on glycoproteins. Knowledge of a discrete glycan sequence as target antigen now opens the way to its exploration as a serologic cancer biomarker, namely to determine if the antigen elicits an autoantibody response in early non-metastatic cancer, or if it is shed and immunochemically detectable in more advanced disease.

High performance IT-MS n sequencing of glycans : Spatial resolution of ovalbumin isomers

This report outlines and applies a high performance sequencing technology to evaluate the glycome of a common model glycoprotein, ovalbumin. The targets were the N-linked glycans enzymatically released from the protein, the N-glycoproteome. These product glycans were reduced, methylated and directly infused into the MS using a chip-based nanoelectrospray with the ions structurally characterized by sequential disassembly. Ten major ions were selected for detailed analysis. Isomer topologies (glycan connectivity) were determined from ion pathways of disassembly. Linkage information was revealed by specific cross-ring cleavage fragments within smaller oligomers. Both connectivity and linkage features were assisted with described bioinformatic tools and details confirmed with a standards library of fragments. The number of isomeric structures found within these 10 parent ions were 37, more than double earlier reports, and setting a new goal for developing technology. In this non-chromatographic, high performance spatial approach, the focus has been patterned to be comprehensive, and stay within the bounds of a plausible high throughput strategy consistent with automation. Selective structures are described in the text to appraise readers of the general approach; a more comprehensive coverage has been included in supplemental material.

Technologies and strategies for glycoproteomics and glycomics and their application to clinical biomarker research.

Several approaches and technologies are currently available to study the glycosylated proteome (glycoproteomics) or the entire repertoire of glycans in a biological system (glycomics). The biological importance of glycosylation has driven the development of novel, sensitive separation and detection methods. New and improved methodologies, such as high throughput array systems and liquid chromatography-mass spectrometry for glycan profiling and sequencing, are emerging and are being applied in clinical research. A major thrust of glycoproteomics and glycomic clinical research is the application of these analytical tools to cancer research and is aimed at the discovery of glycan-based biomarkers for diagnosis of early stage human cancers, monitoring disease progression, measuring response to therapy, and detecting recurrence. The identification of cancer biomarkers requires a multidisciplinary approach and therefore this review discusses the strategies, technologies and methods currently used for N-glycoprotein/glycanbiomarker research.

Sialic Acid-focused Quantitative Mouse Serum Glycoproteomics by Multiple Reaction Monitoring Assay

Despite increasing importance of protein glycosylation, most of the large-scale glycoproteomics have been limited to profiling the sites of N-glycosylation. However, in-depth knowledge of protein glycosylation to uncover functions and their clinical applications requires quantitative glycoproteomics eliciting both peptide and glycan sequences concurrently. Here we describe a novel strategy for the multiplexed quantitative mouse serum glycoproteomics based on a specific chemical ligation, namely, reverse glycoblotting technique, focusing sialic acids and multiple reaction monitoring (MRM). LC-MS/MS analysis of de-glycosylated peptides identified 270 mouse serum peptides (95 glycoproteins) as sialylated glycopeptides, of which 67 glycopeptides were fully characterized by MS/MS analyses in a straightforward manner. We revealed the importance of a fragment ion containing innermost N-acetylglucosamine (GlcNAc) residue as MRM transitions regardless the sequence of the peptides. Versatility of the reverse glycoblotting-assisted MRM assays was demonstrated by quantitative comparison of 25 targeted glycopeptides from 16 proteins between mice with homo and hetero types of diabetes disease model.

Neoglycolipid (NGL)-based oligosaccharide microarrays and highlights of their recent applications in studies of the molecular basis of pathogen–host interactions

Carbohydrate microarray technologies are new developments at the frontier of glycomics that are showing great promise as tools for high-throughput analysis of carbohydrate-mediated interactions and the elucidation of carbohydrate ligands involved not only in endogenous receptor systems, but also pathogen-host interactions. The main advantage of microarray analysis is that a broad range of glycan sequences can be immobilized on solid matrices as minute spots and simultaneously interrogated. Different methodologies have emerged for constructing carbohydrate microarrays. The NGL (neoglycolipid)-based oligosaccharide microarray platform is among the relatively few systems that are beyond proof-of-concept and have provided new biological information. In the present article, I dwell, in some detail, on the NGL-based microarray. Highlights are the recent applications of NGL-based microarrays that have contributed to knowledge on the molecular basis of pathogen-host interactions, namely the assignments of the carbohydrate-binding specificities of several key surface-adhesive proteins of Toxoplasma gondii and other apicomplexan parasites, and the elucidation of receptor-binding specificities of the pandemic influenza A (H1N1) 2009 (H1N1pdm) virus compared with seasonal H1N1 virus.

Altered glycosylation in peri-implantation phase endometrium in women with stages III and IV endometriosis

Endometriosis is a common cause of infertility and pelvic pain. Lectin histochemistry has shown that glycan expression is a sensitive marker of differentiation in the normal endometrium. Endometrial biopsies were taken during the implantation window from women with subfertility and advanced (stage III and IV) endometriosis to evaluate specific glycans bound by lectins from Dolichos biflorus agglutinin (DBA) and Vicia villosa agglutinin (VVA), which detect related but distinct glycan sequences regulated by progesterone action. Endometrial tissue from 12 women with subfertility and advanced endometriosis and 11 healthy controls were taken on days 19-24 of the menstrual cycle and processed into either epoxy resin or paraffin wax. Lectin histochemistry was analysed using light microscopy to quantify the amount of glandular reaction product. There was a significant (P = 0.011) reduction in DBA binding to endometrium from patients with endometriosis compared with controls, which was not seen with VVA (P = 0.135). Three stage IV biopsies and one stage III biopsy completely failed to bind DBA and, of these, three showed moderate glandular binding of VVA. DBA and VVA binding differed significantly (P= 0.0039) in the endometriosis specimens whereas in controls no significant difference was detected (P = 0.812). Secretory phase glycosylation in women with advanced endometriosis differs from that in healthy women with a reduction in fucosylated N-acetylgalactosamine sequences bound by DBA. Shorter VVA-binding glycans are not significantly affected. In addition to indicating abnormalities of epithelial differentiation, these findings may be directly relevant to implantation failure, as blastocyst attachment requires a critical interaction with the epithelial glycocalyx.