Fluorescent labeling agents change binding profiles of glycan-binding proteins

Interactions of glycan-binding proteins (GBPs) with glycans are essential in cell adhesion, bacterial/viral infection, and cellular signaling pathways. Experimental characterization of these interactions based on glycan microarrays typically involves (1) labeling GBPs directly with fluorescent reagents before incubation with the microarrays, or (2) labeling GBPs with biotin before the incubation and detecting the captured GBPs after the incubation using fluorescently labeled streptavidin, or (3) detecting the captured GBPs after the incubation using fluorescently labeled antibodies raised against the GBPs. The fluorescent signal is mostly measured ex situ after excess fluorescent materials are washed off. In this study, by using a label-free optical scanner for glycan microarray detection, we measured binding curves of 7 plant lectins to 24 glycans: four β1-4-linked galactosides, three β1-3-linked galactosides, one β-linked galactoside, one α-linked N-acetylgalactosaminide, eight α2-3-linked sialosides, and seven α2-6-linked sialosides. From association and dissociation constants deduced by global-fitting the binding curves, we found that (1) labeling lectins directly with fluorescent agents change binding profiles of lectins, in some cases by orders of magnitude; (2) those lectin-glycan binding reactions characterized with large dissociation rates, though biologically relevant, are easily missed or deemed insignificant in ex situ fluorescence-based assays as most captured lectins are washed off before detection. This study highlights the importance of label-free real-time detection of protein-ligand interactions and the potential pitfall in interpreting fluorescence-based assays for characterization of protein-glycan interactions.     

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.     

Chemically-blocked antibody microarray for multiplexed high-throughput profiling of specific protein glycosylation in complex samples

In this study, we describe an effective protocol for use in a multiplexed high-throughput antibody microarray with glycan binding protein detection that allows for the glycosylation profiling of specific proteins. Glycosylation of proteins is the most prevalent post-translational modification found on proteins, and leads diversified modifications of the physical, chemical, and biological properties of proteins. Because the glycosylation machinery is particularly susceptible to disease progression and malignant transformation, aberrant glycosylation has been recognized as early detection biomarkers for cancer and other diseases. However, current methods to study protein glycosylation typically are too complicated or expensive for use in most normal laboratory or clinical settings and a more practical method to study protein glycosylation is needed. The new protocol described in this study makes use of a chemically blocked antibody microarray with glycan-binding protein (GBP) detection and significantly reduces the time, cost, and lab equipment requirements needed to study protein glycosylation. In this method, multiple immobilized glycoprotein-specific antibodies are printed directly onto the microarray slides and the N-glycans on the antibodies are blocked. The blocked, immobilized glycoprotein-specific antibodies are able to capture and isolate glycoproteins from a complex sample that is applied directly onto the microarray slides. Glycan detection then can be performed by the application of biotinylated lectins and other GBPs to the microarray slide, while binding levels can be determined using Dylight 549-Streptavidin. Through the use of an antibody panel and probing with multiple biotinylated lectins, this method allows for an effective glycosylation profile of the different proteins found in a given human or animal sample to be developed.     

A quantitative structure-activity relationship (QSAR) study on glycan array data to determine the specificities of glycan-binding proteins

Advances in glycan array technology have provided opportunities to automatically and systematically characterize the binding specificities of glycan-binding proteins. However, there is still a lack of robust methods for such analyses. In this study, we developed a novel quantitative structure-activity relationship (QSAR) method to analyze glycan array data. We first decomposed glycan chains into mono-, di-, tri- or tetrasaccharide subtrees. The bond information was incorporated into subtrees to help distinguish glycan chain structures. Then, we performed partial least-squares (PLS) regression on glycan array data using the subtrees as features. The application of QSAR to the glycan array data of different glycan-binding proteins demonstrated that PLS regression using subtree features can obtain higher R(2) values and a higher percentage of variance explained in glycan array intensities. Based on the regression coefficients of PLS, we were able to effectively identify subtrees that indicate the binding specificities of a glycan-binding protein. Our approach will facilitate the glycan-binding specificity analysis using the glycan array. A user-friendly web tool of the QSAR method is available at http://bci.clemson.edu/tools/glycan_array.     

Optimization of evanescent-field fluorescence-assisted lectin microarray for high-sensitivity detection of monovalent oligosaccharides and glycoproteins

Lectin microarray is an emerging technique, which will accelerate glycan profiling and discovery of glycan-related biomarkers. One of the most important stages in realizing the potential of the technique is to achieve sufficiently high sensitivity to detect even the low concentrations of some target glycoproteins which occur in sera or tissues. Previously, we developed a lectin microarray based on an evanescent-field fluorescence-assisted detection principle that allows rapid profiling of glycoproteins. Here, we report optimization of procedures for lectin spotting and immobilization to improve the sensitivity and reproducibility of the lectin microarray. The improved microarray allows high-sensitivity detection of even monovalent oligosaccharides that generally have a low affinity with lectins (K(d)>10(-6) M). The LOD observed for RCA120, a representative plant lectin, with asialofetuin, and an asialo-biantennary N-glycan probe were determined to be 100 pg/mL and 100 pM, respectively. With the improved lectin microarray system, closely related structural isomers, i.e., Le(a) and Le(x), were clearly differentiated by the difference in signal patterns on relevant multiple lectins, even though specific lectins to detect these glycan structures were not available. The result proved a previously proposed concept of lectin-based glycan profiling.     

Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays

Carbohydrate post-translational modifications on proteins are important determinants of protein function in both normal and disease biology. We have developed a method to allow the efficient, multiplexed study of glycans on individual proteins from complex mixtures, using antibody microarray capture of multiple proteins followed by detection with lectins or glycan-binding antibodies. Chemical derivatization of the glycans on the spotted antibodies prevented lectin binding to those glycans. Multiple lectins could be used as detection probes, each targeting different glycan groups, to build up lectin binding profiles of captured proteins. By profiling both protein and glycan variation in multiple samples using parallel sandwich and glycan-detection assays, we found cancer-associated glycan alteration on the proteins MUC1 and CEA in the serum of pancreatic cancer patients. Antibody arrays for glycan detection are highly effective for profiling variation in specific glycans on multiple proteins and should be useful in diverse areas of glycobiology research.     

Application of lectin microarray to crude samples: differential glycan profiling of lec mutants

We recently developed a novel system for lectin microarray based on the evanescent-field fluorescence-detection principle, by which even weak lectin-oligosaccharide interactions are detectable without a washing procedure. For its practical application, cell glycan analysis was performed for Chinese hamster ovary (CHO) cells and their glycan profile was compared with those of their glycosylation-defective Lec mutants. Each of the cell surface extracts gave a significantly different profile from that of the parental CHO cells in a manner reflecting denoted biosynthetic features. Hence, the developed lectin microarray system is considered to be fully applicable for differential glycan profiling of crude samples.     

Sweet spots in functional glycomics

Information contained in the mammalian glycome is decoded by glycan-binding proteins (GBPs) that mediate diverse functions including host-pathogen interactions, cell trafficking and transmembrane signaling. Although information on the biological roles of GBPs is rapidly expanding, challenges remain in identifying the glycan ligands and their impact on GBP function. Protein-glycan interactions are typically low affinity, requiring multivalent interactions to achieve a biological effect. Though many glycoproteins can carry the glycan structure recognized by the GBP, other factors, such as recognition of protein epitopes and microdomain localization, may restrict which glycoproteins are functional ligands in situ. Recent advances in development of glycan arrays, synthesis of multivalent glycan ligands, bioengineering of cell-surface glycans and glycomics databases are providing new tools to identify the ligands of GBPs and to elucidate the mechanisms by which they participate in GBP function.     

Reading the glyco-code: New approaches to studying protein–carbohydrate interactions

The surface of all living cells is decorated with carbohydrate molecules. Hundreds of functional proteins bind to these glycosylated ligands; such binding events subsequently modulate many aspects of protein and cell function. Identifying ligands for glycan-binding proteins (GBPs) is a defining challenge of glycoscience research. Here, we review recent advances that are allowing protein-carbohydrate interactions to be dissected with an unprecedented level of precision. We specifically highlight how cell-based glycan arrays and glyco-genomic profiling are being used to define the structural determinants of glycan-protein interactions in living cells. Going forward, these methods create exciting new opportunities for the study of glycans in physiology and disease.     

糖芯片技术在肿瘤研究中的应用

糖基化修饰是蛋白质常见的翻译后修饰之一,通过与糖结合蛋白如凝集素、抗体等相互作用调节肿瘤细胞侵袭、转移的能力及肿瘤异质性。通过化学合成法、化学-酶合成法或释放天然聚糖构建的糖芯片是分析聚糖与糖结合蛋白相互作用的重要工具。文中综述了常见的点制糖芯片的技术及糖芯片在癌症疫苗、单克隆抗体及诊断标志物中的广泛运用。由于肿瘤发生的各个环节都伴随着聚糖结构的改变,利用糖芯片探究肿瘤细胞特异表达的聚糖所参与的生理病理过程具有重大意义。     

A new kind of carbohydrate array,its use for profiling antiglycan antibodies,and the discovery of a novel human cellulose-binding antibody

In this study, we use a novel glycan array to analyze the glycan-binding antibody repertoire in a pool of affinity-purified IgG collected from a healthy human population. The glycan array used is based on mono- and oligosaccharides covalently linked to the surface via a long linker at their reducing ends. They are thus presented to the medium with a well-defined orientation and are accessible for specific binding by glycan-binding proteins, such as antibodies and lectins. A novel anticellulose antibody was detected that binds specifically to beta4-linked saccharides with a preference for glucopyranose over galactopyranose residues. We also found previously known antiglycan antibodies against mono- and oligosaccharides that are constituents of commonly occurring bacterial polysaccharides. We propose that this array can facilitate high-throughput screening of glycan-binding proteins and the search for biomarkers for personalized medicine.     

Quantifiable fluorescent glycan microarrays

A glycan microarray was developed by using 2,6-diaminopyridine (DAP) as a fluorescent linker and printing of the glycan-DAP conjugates (GDAPs) on epoxy-activated glass slides. Importantly, all coupled GDAPs showed a detectable level of concentration-dependent GDAP fluorescence under blue laser excitation (495 nm) that can be used for both grid location and on-slide quantification. A glycan array including a large number of GDAP’s derived from natural and commercially available free glycans was constructed and glycan interactions with various plant lectins were investigated. In addition, binding parameters of lectins to glycans were obtained by varying both the amount of GDAPs on the array and the lectin concentration in analyses. These data demonstrate the general utility of GDAP microarrays for functional glycomic analyses and for determining binding parameters of glycan binding proteins (GBPs).     

Shotgun glycomics: a microarray strategy for functional glycomics

Major challenges of glycomics are to characterize a glycome and identify functional glycans as ligands for glycan-binding proteins (GBPs). To address these issues we developed a general strategy termed shotgun glycomics. We focus on glycosphingolipids (GSLs), a class of glycoconjugates that is challenging to study, recognized by toxins, antibodies and GBPs. We derivatized GSLs extracted from cells with a heterobifunctional fluorescent tag suitable for covalent immobilization. We separated fluorescent GSLs by multidimensional chromatography, quantified them and coupled them to glass slides to create GSL shotgun microarrays. Then we interrogated the microarrays with cholera toxin, antibodies and sera from individuals with Lyme disease to identify biologically relevant GSLs that we subsequently characterized by mass spectrometry. Shotgun glycomics incorporating GSLs and potentially glycoprotein-derived glycans is an approach for accessing the complex glycomes of animal cells and is a strategy for focusing structural analyses on functionally important glycans.     

Profiling of serum antibodies with printed glycan array: room for data misinterpretation

Using an example of Galβ1-3GlcNAc (Le(C)) related glycans, we here demonstrate a risk of data misinterpretation when polyclonal antibodies are probed for their glycan-binding specificities with help of a printed glycan array (PGA). Affinity isolation of antibodies from human serum using Le(C)-Sepharose or 3'-O-SuLe(C)-Sepharose in conditions of excess of the adsorbents generated identical material regardless of the affinity ligand, with the antibodies equally capable of binding to Le(C) and to 3'-O-SuLe(C) disaccharides, as well as to 3'-O-SiaLe(C) trisaccharide. More detailed profiling has shown that the isolated antibodies bind to the inner part of Galβ1-3GlcNAc disaccharide. We therefore conclude that serum does not contain different subsets of antibodies specific either to Le(C) or to 3'-O-SuLe(C), despite their visibly different binding signals to these glycans on PGA.     

Mass spectrometry-based shotgun glycomics for discovery of natural ligands of glycan-binding proteins

The non-covalent associations of complex carbohydrates (glycans) with glycan-binding proteins mediate many important physiological and pathophysiological processes. Identifying these interactions is essential to understanding their diverse biological functions and enables the development of new disease treatments and diagnostics. Knowledge of the repertoire of glycans recognized by most glycan-binding proteins and their affinities is incomplete. Mass spectrometry-based screening of natural glycan libraries has emerged as a promising approach to defining the glycan interactome of glycan-binding proteins. Here, we review recent advances in mass spectrometry-based natural library screening that have led to the discovery of glycan ligands of endogenous and exogenous proteins and illuminated their binding specificities.     

The fine specificity of mannose-binding and galactose-binding lectins revealed using outlier motif analysis of glycan array data

Glycan-binding proteins are commonly used as analytical reagents to detect the levels of specific glycan structures in biological samples. A detailed knowledge of the specificities of glycan-binding proteins is required for properly interpreting their binding data. A powerful technology for characterizing glycan-binding specificity is the glycan array. However, the interpretation of glycan-array data can be difficult due to the complex fine specificities of certain glycan-binding proteins. We developed a systematic approach, called outlier-motif analysis, for extracting fine-specificity information from glycan-array data, and we applied the method to the study of four commonly used lectins: two mannose binders (concanavalin A and Lens culinaris) and two galactose binders (Bauhinia purpurea and peanut agglutinin). The study confirmed the known, primary specificity of each lectin and also revealed new insights into their binding preferences. Lens culinaris's main specificity may be non-terminal, α-linked mannose with a single linkage at its 2' carbon, which is more restricted than previous definitions. We found broader specificity for bauhinea purpurea (BPL) than previously reported, showing that BPL can bind terminal N-acetylgalactosamine (GalNAc) and penultimate β-linked galactose under certain limitations. Peanut agglutinin may bind terminal Galβ1,3Gal, a glycolipid motif, in addition to terminal Galβ1,3GalNAc, a common O-linked glycoprotein motif. These results could be used to more accurately interpret data obtained using these well-studied lectins. Furthermore, this study demonstrates a systematic and general approach for extracting fine-specificity information from glycan-array data.     

Murine noroviruses bind glycolipid and glycoprotein attachment receptors in a strain-dependent manner

Human norovirus infections are the most common cause of acute nonbacterial gastroenteritis in humans worldwide, and glycan binding plays an important role in the susceptibility to these infections. However, due to the lack of an efficient cell culture system or small animal model for human noroviruses, little is known about the biological role of glycan binding during infection. Murine noroviruses (MNV) are also enteric viruses that bind to cell surface glycans, but in contrast to their human counterparts, they can be grown in tissue culture and a small animal host. In this study, we determined glycan-binding specificities of the MNV strains MNV-1 and CR3 in vitro, identified molecular determinants of glycan binding, and analyzed infection in vivo. We showed that unlike MNV-1, CR3 binding to murine macrophages was resistant to neuraminidase treatment and glycosphingolipid depletion. Both strains depended on N-linked glycoproteins for binding, while only MNV-1 attachment to macrophages was sensitive to O-linked glycoprotein depletion. In vivo, CR3 showed differences in tissue tropism compared to MNV-1 by replicating in the large intestine. Mapping of a glycan-binding site in the MNV-1 capsid by reverse genetics identified a region topologically similar to the histo-blood group antigen (HBGA)-binding sites of the human norovirus strain VA387. The recombinant virus showed distinct changes in tissue tropism compared to wild-type virus. Taken together, our data demonstrate that MNV strains evolved multiple strategies to bind different glycan receptors on the surface of murine macrophages and that glycan binding contributes to tissue tropism in vivo.     

Isolation and identification of mannose‐binding proteins and estimation of their abundance in sera from hepatocellular carcinoma patients

The interaction of glycan‐binding proteins (GBPs) and glycans plays a significant biological role that ranges from cell–cell recognition to cell trafficking, and glycoprotein targeting. The anomalies of GBPs related to the types and/or quantities were not clearly known in cancer incidence. It is imperative to identify and annotate the GBPs related with the canceration. Here the mannose‐binding proteins (MBPs) from the clinical sera were isolated and identified by the mannose‐magnetic particle conjugates and the high‐accuracy MS analysis. Seventy‐five MBPs from normal donors’ sera and 79 MBPs from hepatocellular carcinoma patients’ sera were identified and annotated. By using the stringent criteria of exponentially modified protein abundance index (emPAI) quantification, 12 MBPs were estimated to be significantly upregulated (emPAI ratio > 4) and nine MBPs were estimated to be significantly downregulated (emPAI ratio < 0.25) in the hepatocellular carcinoma sera. Real‐time quantitative PCR, Western blotting, and protein microarrays were also used to confirm the altered MBPs expression level and the specific binding between the isolated MBPs and mannose. The sequence recognition motifs and structure preference of the isolated MBPs were characterized. The functional enrichment analysis revealed that over 57% of the isolated MBPs were binding protein and the upregulated MBPs were involved in cell death, tumor progression, and macromolecular complex remodeling.     

Synthetic glycopeptides reveal specific binding pattern and conformational change at O-mannosylated position of α-dystroglycan by POMGnT1 catalyzed GlcNAc modification

Structural and functional effects of core M1 type glycan modification catalyzed by protein O-linked mannose β1,2-N-acetylglucosaminyltransferase 1 (POMGnT1) were investigated using a core M1 glycoform focused library of an α-dystroglycan fragment, ³⁷²TRGAIIQTPTLGPIQPTRV³⁹⁰. Evanescent-field fluorescence-assisted microarray system illuminated the specific binding pattern of plant lectins that can discriminate the glycan structure of core M1 glycan of the library. The comparative NMR analysis of synthetic glycopeptide having different length of the O-mannosylated glycans revealed a conformational change of the peptide backbone along with core M1 disaccharide formation. No long-range NOE signals of glycan-amino acid nor inter amino acid indicate the conformational change is induced by steric hindrance of core M1, the sole 1,2-O-modified form among protein binding sugar residue found in mammals.     

Conformational change of a unique sequence in a fungal galectin from Agrocybe cylindracea controls glycan ligand-binding specificity

A fungal galectin from Agrocybe cylindracea (ACG) exhibits broad binding specificity for β-galactose–containing glycans. We determined the crystal structures of wild-type ACG and the N46A mutant, with and without glycan ligands. From these structures and a saccharide-binding analysis of the N46A mutant, we revealed that a conformational change of a unique insertion sequence containing Asn46 provides two binding modes for ACG, and thereby confers broad binding specificity. We propose that the unique sequence provides these two distinct glycan-binding modes by an induced-fit mechanism.