ArticleCurrent protocols in chemical biology2013
Determining lectin specificity from glycan array data using motif segregation and GlycoSearch software.
Article in Current protocols in chemical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- LeGenD: High-throughput N-glycan profiling using explainable AI and lectin profiling.The Journal of biological chemistry · 2026Article
- LeGenD: determining N-glycoprofiles using an explainable AI-leveraged model with lectin profiling.bioRxiv : the preprint server for biology · 2024Article
- Decoding the glycoproteome: a new frontier for biomarker discovery in cancer.Journal of hematology & oncology · 2024Review
- Emerging glycobiology tools: A renaissance in accessibility.Cellular immunology · 2018Review
- Defining the Specificity of Carbohydrate-Protein Interactions by Quantifying Functional Group Contributions.Journal of chemical information and modeling · 2018Article
- Applying Pose Clustering and MD Simulations To Eliminate False Positives in Molecular Docking.Journal of chemical information and modeling · 2018Article
- The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting glycan microarray-based data.Glycobiology · 2017Article
- Combining 3D structure with glycan array data provides insight into the origin of glycan specificity.Glycobiology · 2016Article
- Upregulation of glycans containing 3' fucose in a subset of pancreatic cancers uncovered using fusion-tagged lectins.Journal of proteome research · 2015Article
- Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A.Molecular & cellular proteomics : MCP · 2015Article
- The detection and discovery of glycan motifs in biological samples using lectins and antibodies: new methods and opportunities.Advances in cancer research · 2015Review
- Definitive Characterization of CA 19-9 in Resectable Pancreatic Cancer Using a Reference Set of Serum and Plasma Specimens.PloS one · 2015Article
- Community-based network study of protein-carbohydrate interactions in plant lectins using glycan array data.PloS one · 2014Article
- Prediction of glycan motifs using quantitative analysis of multi-lectin binding: Motifs on MUC1 produced by cultured pancreatic cancer cells.Proteomics. Clinical applications · 2013Article
- Intestinal mucin-typeGut microbesReview
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4 authors.
Funding
Abstract
The glycan array is a powerful tool for investigating the specificities of glycan-binding proteins. By incubating a glycan-binding protein on a glycan array, the relative binding to hundreds of different oligosaccharides can be quantified in parallel. Based on these data, much information can be obtained about the preference of a glycan-binding protein for specific subcomponents of oligosaccharides, or motifs. In many cases, the analysis and interpretation of glycan array data can be time consuming and imprecise if done manually. Recently, GlycoSearch software was developed to facilitate the analysis and interpretation of glycan array data based on two previously developed methods, Motif Segregation and Outlier Motif Analysis. Here, the principles behind this method and the use of this new tool for mining glycan array data are described. The automated, objective, and precise analysis of glycan array data should enhance the value of these data for a broad range of research applications.
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