Comparison of printed glycan array, suspension array and ELISA in the detection of human anti-glycan antibodies

Anti-glycan antibodies represent a vast and yet insufficiently investigated subpopulation of naturally occurring and adaptive antibodies in humans. Recently, a variety of glycan-based microarrays emerged, allowing high-throughput profiling of a large repertoire of antibodies. As there are no direct approaches for comparison and evaluation of multi-glycan assays we compared three glycan-based immunoassays, namely printed glycan array (PGA), fluorescent microsphere-based suspension array (SA) and ELISA for their efficacy and selectivity in profiling anti-glycan antibodies in a cohort of 48 patients with and without ovarian cancer. The ABO blood group glycan antigens were selected as well recognized ligands for sensitivity and specificity assessments. As another ligand we selected P1, a member of the P blood group system recently identified by PGA as a potential ovarian cancer biomarker. All three glyco-immunoassays reflected the known ABO blood groups with high performance. In contrast, anti-P1 antibody binding profiles displayed much lower concordance. Whilst anti-P1 antibody levels between benign controls and ovarian cancer patients were significantly discriminated using PGA (p = 0.004), we got only similar results using SA (p = 0.03) but not for ELISA. Our findings demonstrate that whilst assays were largely positively correlated, each presents unique characteristic features and should be validated by an independent patient cohort rather than another array technique. The variety between methods presumably reflects the differences in glycan presentation and the antigen/antibody ratio, assay conditions and detection technique. This indicates that the glycan-antibody interaction of interest has to guide the assay selection

Bioinformatics and molecular modeling in glycobiology

The field of glycobiology is concerned with the study of the structure, properties, and biological functions of the family of biomolecules called carbohydrates. Bioinformatics for glycobiology is a particularly challenging field, because carbohydrates exhibit a high structural diversity and their chains are often branched. Significant improvements in experimental analytical methods over recent years have led to a tremendous increase in the amount of carbohydrate structure data generated. Consequently, the availability of databases and tools to store, retrieve and analyze these data in an efficient way is of fundamental importance to progress in glycobiology. In this review, the various graphical representations and sequence formats of carbohydrates are introduced, and an overview of newly developed databases, the latest developments in sequence alignment and data mining, and tools to support experimental glycan analysis are presented. Finally, the field of structural glycoinformatics and molecular modeling of carbohydrates, glycoproteins, and protein–carbohydrate interaction are reviewed

Polysaccharide microarrays for high-throughput screening of transglycosylase activities in plant extracts

Polysaccharide transglycosylases catalyze disproportionation of polysaccharide molecules by cleaving glycosidic linkages in polysaccharide chains and transferring their cleaved portions to hydroxyl groups at the non-reducing ends of other polysaccharide or oligosaccharide molecules. In plant cell walls, transglycosylases have a potential to catalyze both cross-linking of polysaccharide molecules and grafting of newly arriving polysaccharide molecules into the cell wall structure during cell growth. Here we describe a polysaccharide microarray in form of a glycochip permitting simultaneous high-throughput monitoring of multiple transglycosylase activities in plant extracts. The glycochip, containing donor polysaccharides printed onto nitrocellulose-coated glass slides, was incubated with crude plant extracts, along with a series of fluorophore-labelled acceptor oligosaccharides. After removing unused labelled oligosaccharides by washing, fluorescence retained on the glycochip as a result of transglycosylase reaction was detected with a standard microarray scanner. The glycochip assay was used to detect transglycosylase activities in crude extracts from nasturtium (Tropaeolum majus) and mouse-ear cress (Arabidopsis thaliana). A number of previously unknown saccharide donor-acceptor pairs active in transglycosylation reactions that lead to the formation of homo- and hetero-glycosidic conjugates, were detected. Our data provide experimental support for the existence of diverse transglycosylase activities in crude plant extracts.Ondřej Kosík, Richard P. Auburn, Steven Russell, Eva Stratilová, Soňa Garajová, Maria Hrmova and Vladimír Farka