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.     

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.     

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.     

Glycoconjugate microarray based on an evanescent-field fluorescence-assisted detection principle for investigation of glycan-binding proteins

The extensive involvement of glycan-binding proteins (GBPs) as regulators in diverse biological phenomena provides a fundamental reason to investigate their glycan-binding specificities. Here, we developed a glycoconjugate microarray based on an evanescent-field fluorescence-assisted detection principle for investigation of GBPs. Eighty-nine selected multivalent glycoconjugates comprising natural glycoproteins, neo-glycoproteins, and polyacrylamide (PAA)-conjugated glycan epitopes were immobilized on an epoxy-activated glass slide. The GBP binding was monitored by an evanescent-field fluorescence-assisted scanner at equilibrium without washing steps. The detection principle also allows direct application of unpurified GBPs with the aid of specific antibodies. Model experiments using plant lectins (RCA120, ConA, and SNA), galectins (3 and 8), a C-type lectin (DC-SIGN) and a siglec (CD22) provided data consistent with previous work within 4 h using less than 40 ng of GBPs per analysis. As an application, serum profiling of antiglycan antibodies (IgG and IgM) was performed with Cy3-labeled secondary antibodies. Moreover, novel carbohydrate-binding ability was demonstrated for a human IL-18 binding protein. Thus, the developed glycan array is useful for investigation of various types of GBPs, with the added advantage of wash-free analysis.     

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.     

Cross-comparison of protein recognition of sialic acid diversity on two novel sialoglycan microarrays

DNA and protein arrays are commonly accepted as powerful exploratory tools in research. This has mainly been achieved by the establishment of proper guidelines for quality control, allowing cross-comparison between different array platforms. As a natural extension, glycan microarrays were subsequently developed, and recent advances using such arrays have greatly enhanced our understanding of protein-glycan recognition in nature. However, although it is assumed that biologically significant protein-glycan binding is robustly detected by glycan microarrays, there are wide variations in the methods used to produce, present, couple, and detect glycans, and systematic cross-comparisons are lacking. We address these issues by comparing two arrays that together represent the marked diversity of sialic acid modifications, linkages, and underlying glycans in nature, including some identical motifs. We compare and contrast binding interactions with various known and novel plant, vertebrate, and viral sialic acid-recognizing proteins and present a technical advance for assessing specificity using mild periodate oxidation of the sialic acid chain. These data demonstrate both the diversity of sialic acids and the analytical power of glycan arrays, showing that different presentations in different formats provide useful and complementary interpretations of glycan-binding protein specificity. They also highlight important challenges and questions for the future of glycan array technology and suggest that glycan arrays with similar glycan structures cannot be simply assumed to give similar results.     

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。     

Mouse LSECtin as a model for a human Ebola virus receptor

The biochemical properties of mouse LSECtin, a glycan-binding receptor that is a member of the C-type lectin family found on sinusoidal endothelial cells, have been investigated. The C-type carbohydrate-recognition domain of mouse LSECtin, expressed in bacteria, has been used in solid-phase binding assays, and a tetramerized form has been used to probe a glycan array. In spite of sequence differences near the glycan-binding sites, the mouse receptor closely mimics the properties of the human receptor, showing high affinity binding to glycans bearing terminal GlcNAcβ1-2Man motifs. Site-directed mutagenesis has been used to confirm that residues near the binding site that differ between the human and the mouse proteins do not affect this binding specificity. Mouse and human LSECtin have been shown to bind Ebola virus glycoprotein with equivalent affinities, and the GlcNAcβ1-2Man disaccharide has been demonstrated to be an effective inhibitor of this interaction. These studies provide a basis for using mouse LSECtin, and knockout mice lacking this receptor, to model the biological properties of the human receptor.     

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.     

MIA-QSAR,PCA-ranking and least-squares support-vector machines in the accurate prediction of the activities of phosphodiesterase type 5 (PDE-5) inhibitors

Phosphodiesterase type-5 (PDE-5) is a key enzyme involved in the erection process. PDE-5 inhibitors, such as Sildenafil (Viagra^TM), Vardenafil (Levitra^TM) and Tadalafil (Cialis^TM), are used for the treatment of erectile dysfunction. Computer-assisted modelling of biological activities of PDE-5 inhibitors may make quantitative structure–activity relationship (QSAR) models useful for the development of safer (low side effects) and more potent drugs. The multivariate image analysis applied to QSAR (MIA-QSAR) method, coupled to partial least-squares (PLS) regression, has provided highly predictive QSAR models. Nevertheless, regression methods which take into account nonlinearity, such as least-squares support-vector machines (LS-SVMs), are supposed to predict biological activities more accurately than the usual linear methods. Thus, together with prior variable selection using principal component analysis ranking, MIA-QSAR and LS-SVM regression were applied to model the bioactivities of a series of cyclic guanine derivatives (PDE-5 inhibitors), and the results were compared with those based on linear methodologies. MIA-QSAR/LS-SVM was found to improve greatly the prediction performance when compared with MIA-QSAR/PLS, MIA-QSAR/N-PLS, CoMFA/PLS and CoMSIA/PLS models.     

Fluorescent Trimeric Hemagglutinins Reveal Multivalent Receptor Binding Properties

Influenza A virus carries hundreds of trimeric hemagglutinin (HA) proteins on its viral envelope that interact with various sialylated glycans on a host cell. This interaction represents a multivalent binding event that is present in all the current receptor binding assays, including those employing viruses or precomplexed HA trimers. To study the nature of such multivalent binding events, we fused a superfolder green fluorescent protein (sfGFP) to the C-terminus of trimeric HA to allow for direct visualization of HA–receptor interactions without the need for additional fluorescent antibodies. The multivalent binding of the HA–sfGFP proteins was studied using glycan arrays and tissue staining. The HA–sfGFP with human-type receptor specificity was able to bind to a glycan array as the free trimer. In contrast, the HA–sfGFP with avian-type receptor specificity required multimerization by antibodies before binding to glycans on the glycan array could be observed. Interestingly, multimerization was not required for binding to tissues. The array data may be explained by the possible bivalent binding mode of a single human-specific HA trimer to complex branched N-glycans, which is not possible for the avian-specific HA due to geometrical constrains of the binding sites. The fact that this specificity pattern changes upon interaction with a cell surface probably represents the enhanced amount of glycan orientations and variable densities versus those on the glycan array.     

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.     

Differential carbohydrate binding and cell surface glycosylation of human cancer cell lines

Currently there is only a modest level knowledge of the glycosylation status of immortalised cell lines that are commonly used in cancer biology as well as their binding affinities to different glycan structures. Through use of glycan and lectin microarray technology, this study has endeavoured to define the different bindings of cell surface carbohydrate structures to glycan-binding lectins. The screening of breast cancer MDA-MB435 cells, cervical cancer HeLa cells and colon cancer Caco-2, HCT116 and HCT116-FM6 cells was conducted to determine their differential bindings to a variety of glycan and lectin structures printed on the array slides. An inverse relationship between the number of glycan structures recognised and the variety of cell surface glycosylation was observed. Of the cell lines tested, it was found that four bound to sialylated structures in initial screening. Secondary screening in the presence of a neuraminidase inhibitor (4-deoxy-4-guanidino-Neu5Ac2en) significantly reduced sialic acid binding. The array technology has proven to be useful in determining the glycosylation signatures of various cell-lines as well as their glycan binding preferences. The findings of this study provide the groundwork for further investigation into the numerous glycan-lectin interactions that are exhibited by immortalised cell lines.     

糖生物信息学数据库

糖生物信息学是在糖生物学和糖组学发展的基础上,结合计算机技术,对生命活动过程中,参与糖链及与其相互作用的蛋白质等分子研究所产生的数据进行获取、储存、解析、模拟以及预测等内容的综合学科.糖生物信息学数据库是糖生物信息学发展到一定阶段,对糖组学等研究中产生的数据进行专门储藏与查询的应用工具.目前国际互联网中存在近百个糖生物信息学相关数据库,涉及内容包括糖链结构、参与糖链合成的基因或者蛋白质、糖结合蛋白、代谢通路、糖链或相互作用蛋白质等分子三维结构,或糖组学实验结果等领域.本文将归纳总结糖生物信息学数据库,为现有研究提供帮助.     

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.     

The conserved PA14 domain of cell wall-associated fungal adhesins governs their glycan-binding specificity

Yeast cell wall-associated, lectin-like adhesins form large families that mediate flocculation and host cell recognition. The glycan specificity of individual adhesins is largely unknown. Zupancic et al . (this issue of Molecular Microbiology ) used glycan microarrays to compare the glycan-binding characteristics of individual adhesins (Epa proteins) of the pathogenic yeast Candida glabrata produced in the non-adherent yeast Saccharomyces cerevisiae . By sequence swapping between the conserved PA14 domains of two related Epa proteins, they identified a pentapeptide that determines binding specificity and cell adherence and is located on a surface loop of the known crystal structure of the anthrax toxin PA14 domain.     

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).