Literature DB >> 23839995

Determining lectin specificity from glycan array data using motif segregation and GlycoSearch software.

Doron Kletter1, Zheng Cao, Marshall Bern, Brian Haab.   

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.
© 2013 by John Wiley & Sons, Inc.

Entities:  

Keywords:  glycan array; glycan motif; glycobiology; lectin

Mesh:

Substances:

Year:  2013        PMID: 23839995      PMCID: PMC4041489          DOI: 10.1002/9780470559277.ch130028

Source DB:  PubMed          Journal:  Curr Protoc Chem Biol        ISSN: 2160-4762


  17 in total

1.  A major class of L-selectin ligands is eliminated in mice deficient in two sulfotransferases expressed in high endothelial venules.

Authors:  Kenji Uchimura; Jean-Marc Gauguet; Mark S Singer; Durwin Tsay; Reiji Kannagi; Takashi Muramatsu; Ulrich H von Andrian; Steven D Rosen
Journal:  Nat Immunol       Date:  2005-10-09       Impact factor: 25.606

2.  High-throughput carbohydrate microarray analysis of 24 lectins.

Authors:  Joseph C Manimala; Timothy A Roach; Zhitao Li; Jeffrey C Gildersleeve
Journal:  Angew Chem Int Ed Engl       Date:  2006-05-26       Impact factor: 15.336

3.  Extraction of leukemia specific glycan motifs in humans by computational glycomics.

Authors:  Yoshiyuki Hizukuri; Yoshihiro Yamanishi; Osamu Nakamura; Fumio Yagi; Susumu Goto; Minoru Kanehisa
Journal:  Carbohydr Res       Date:  2005-10-17       Impact factor: 2.104

4.  An array-based method to identify multivalent inhibitors.

Authors:  Yalong Zhang; Qian Li; Luis G Rodriguez; Jeffrey C Gildersleeve
Journal:  J Am Chem Soc       Date:  2010-07-21       Impact factor: 15.419

5.  Automated motif discovery from glycan array data.

Authors:  Sharath R Cholleti; Sanjay Agravat; Tim Morris; Joel H Saltz; Xuezheng Song; Richard D Cummings; David F Smith
Journal:  OMICS       Date:  2012-08-09

Review 6.  Glycan arrays for functional glycomics.

Authors:  Kurt Drickamer; Maureen E Taylor
Journal:  Genome Biol       Date:  2002-11-27       Impact factor: 13.583

7.  A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins.

Authors:  Andrew Porter; Tingting Yue; Lee Heeringa; Steven Day; Edward Suh; Brian B Haab
Journal:  Glycobiology       Date:  2009-11-29       Impact factor: 4.313

Review 8.  Microarrays in glycoproteomics research.

Authors:  Tingting Yue; Brian B Haab
Journal:  Clin Lab Med       Date:  2009-03       Impact factor: 1.935

Review 9.  The repertoire of glycan determinants in the human glycome.

Authors:  Richard D Cummings
Journal:  Mol Biosyst       Date:  2009-07-28

10.  Microarrays with varying carbohydrate density reveal distinct subpopulations of serum antibodies.

Authors:  Oyindasola Oyelaran; Qian Li; David Farnsworth; Jeffrey C Gildersleeve
Journal:  J Proteome Res       Date:  2009-07       Impact factor: 4.466

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  11 in total

Review 1.  The detection and discovery of glycan motifs in biological samples using lectins and antibodies: new methods and opportunities.

Authors:  Huiyuan Tang; Peter Hsueh; Doron Kletter; Marshall Bern; Brian Haab
Journal:  Adv Cancer Res       Date:  2015-02-07       Impact factor: 6.242

2.  Combining 3D structure with glycan array data provides insight into the origin of glycan specificity.

Authors:  Oliver C Grant; Matthew B Tessier; Lawrence Meche; Lara K Mahal; Bethany L Foley; Robert J Woods
Journal:  Glycobiology       Date:  2016-02-23       Impact factor: 4.313

3.  Upregulation of glycans containing 3' fucose in a subset of pancreatic cancers uncovered using fusion-tagged lectins.

Authors:  Sudhir Singh; Kuntal Pal; Jessica Yadav; Huiyuan Tang; Katie Partyka; Doron Kletter; Peter Hsueh; Elliot Ensink; Birendra Kc; Galen Hostetter; H Eric Xu; Marshall Bern; David F Smith; Anand S Mehta; Randall Brand; Karsten Melcher; Brian B Haab
Journal:  J Proteome Res       Date:  2015-05-12       Impact factor: 4.466

4.  Applying Pose Clustering and MD Simulations To Eliminate False Positives in Molecular Docking.

Authors:  Spandana Makeneni; David F Thieker; Robert J Woods
Journal:  J Chem Inf Model       Date:  2018-03-09       Impact factor: 4.956

5.  Prediction of glycan motifs using quantitative analysis of multi-lectin binding: Motifs on MUC1 produced by cultured pancreatic cancer cells.

Authors:  Calvin McCarter; Doron Kletter; Huiyuan Tang; Katie Partyka; Yinjiao Ma; Sudhir Singh; Jessica Yadav; Marshall Bern; Brian B Haab
Journal:  Proteomics Clin Appl       Date:  2013-09-13       Impact factor: 3.494

6.  Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A.

Authors:  Huiyuan Tang; Sudhir Singh; Katie Partyka; Doron Kletter; Peter Hsueh; Jessica Yadav; Elliot Ensink; Marshall Bern; Galen Hostetter; Douglas Hartman; Ying Huang; Randall E Brand; Brian B Haab
Journal:  Mol Cell Proteomics       Date:  2015-03-02       Impact factor: 5.911

7.  Defining the Specificity of Carbohydrate-Protein Interactions by Quantifying Functional Group Contributions.

Authors:  Amika Sood; Oksana O Gerlits; Ye Ji; Nicolai V Bovin; Leighton Coates; Robert J Woods
Journal:  J Chem Inf Model       Date:  2018-08-22       Impact factor: 4.956

8.  Definitive Characterization of CA 19-9 in Resectable Pancreatic Cancer Using a Reference Set of Serum and Plasma Specimens.

Authors:  Brian B Haab; Ying Huang; Seetharaman Balasenthil; Katie Partyka; Huiyuan Tang; Michelle Anderson; Peter Allen; Aaron Sasson; Herbert Zeh; Karen Kaul; Doron Kletter; Shaokui Ge; Marshall Bern; Richard Kwon; Ivan Blasutig; Sudhir Srivastava; Marsha L Frazier; Subrata Sen; Michael A Hollingsworth; Jo Ann Rinaudo; Ann M Killary; Randall E Brand
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

9.  Community-based network study of protein-carbohydrate interactions in plant lectins using glycan array data.

Authors:  Adeel Malik; Juyong Lee; Jooyoung Lee
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

Review 10.  Emerging glycobiology tools: A renaissance in accessibility.

Authors:  Douglas M Oswald; Brian A Cobb
Journal:  Cell Immunol       Date:  2018-04-25       Impact factor: 4.178

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