Literature DB >> 27809484

Characterizing Protein Glycosylation through On-Chip Glycan Modification and Probing.

Bryan S Reatini1, Elliot Ensink1, Brian Liau2, Jessica Y Sinha1, Thomas W Powers3, Katie Partyka1, Marshall Bern4, Randall E Brand5, Pauline M Rudd2,6, Doron Kletter4, Richard Drake4, Brian B Haab1.   

Abstract

Glycans are critical to protein biology and are useful as disease biomarkers. Many studies of glycans rely on clinical specimens, but the low amount of sample available for some specimens limits the experimental options. Here we present a method to obtain information about protein glycosylation using a minimal amount of protein. We treat proteins that were captured or directly spotted in small microarrays (2.2 mm × 2.2 mm) with exoglycosidases to successively expose underlying features, and then we probe the native or exposed features using a panel of lectins or glycan-binding reagents. We developed an algorithm to interpret the data and provide predictions about the glycan motifs that are present in the sample. We demonstrated the efficacy of the method to characterize differences between glycoproteins in their sialic acid linkages and N-linked glycan branching, and we validated the assignments by comparing results from mass spectrometry and chromatography. The amount of protein used on-chip was about 11 ng. The method also proved effective for analyzing the glycosylation of a cancer biomarker in human plasma, MUC5AC, using only 20 μL of the plasma. A glycan on MUC5AC that is associated with cancer had mostly 2,3-linked sialic acid, whereas other glycans on MUC5AC had a 2,6 linkage of sialic acid. The on-chip glycan modification and probing (on-chip GMAP) method provides a platform for analyzing protein glycosylation in clinical specimens and could complement the existing toolkit for studying glycosylation in disease.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27809484      PMCID: PMC5290727          DOI: 10.1021/acs.analchem.6b02998

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  48 in total

1.  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

Review 2.  Glycan microarrays for decoding the glycome.

Authors:  Cory D Rillahan; James C Paulson
Journal:  Annu Rev Biochem       Date:  2011       Impact factor: 23.643

3.  Detection and verification of glycosylation patterns of glycoproteins from clinical specimens using lectin microarrays and lectin-based immunosorbent assays.

Authors:  Yan Li; Sheng-Ce Tao; G Steven Bova; Alvin Y Liu; Daniel W Chan; Heng Zhu; Hui Zhang
Journal:  Anal Chem       Date:  2011-10-26       Impact factor: 6.986

4.  Detailed structural analysis of N-glycans released from glycoproteins in SDS-PAGE gel bands using HPLC combined with exoglycosidase array digestions.

Authors:  Louise Royle; Catherine M Radcliffe; Raymond A Dwek; Pauline M Rudd
Journal:  Methods Mol Biol       Date:  2006

5.  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

6.  Segment and fit thresholding: a new method for image analysis applied to microarray and immunofluorescence data.

Authors:  Elliot Ensink; Jessica Sinha; Arkadeep Sinha; Huiyuan Tang; Heather M Calderone; Galen Hostetter; Jordan Winter; David Cherba; Randall E Brand; Peter J Allen; Lorenzo F Sempere; Brian B Haab
Journal:  Anal Chem       Date:  2015-09-11       Impact factor: 6.986

7.  The prevalence and nature of glycan alterations on specific proteins in pancreatic cancer patients revealed using antibody-lectin sandwich arrays.

Authors:  Tingting Yue; Irwin J Goldstein; Michael A Hollingsworth; Karen Kaul; Randall E Brand; Brian B Haab
Journal:  Mol Cell Proteomics       Date:  2009-04-17       Impact factor: 5.911

8.  Global comparisons of lectin-glycan interactions using a database of analyzed glycan array data.

Authors:  Doron Kletter; Sudhir Singh; Marshall Bern; Brian B Haab
Journal:  Mol Cell Proteomics       Date:  2013-02-11       Impact factor: 5.911

9.  High-throughput profiling of protein N-glycosylation by MALDI-TOF-MS employing linkage-specific sialic acid esterification.

Authors:  Karli R Reiding; Dennis Blank; Dennis M Kuijper; André M Deelder; Manfred Wuhrer
Journal:  Anal Chem       Date:  2014-05-28       Impact factor: 6.986

10.  Three monoclonal antibodies defining distinct differentiation antigens associated with different high molecular weight polypeptides on the surface of human embryonal carcinoma cells.

Authors:  P W Andrews; G Banting; I Damjanov; D Arnaud; P Avner
Journal:  Hybridoma       Date:  1984
View more
  6 in total

1.  Antibody Panel Based N-Glycan Imaging for N-Glycoprotein Biomarker Discovery.

Authors:  Alyson P Black; Peggi M Angel; Richard R Drake; Anand S Mehta
Journal:  Curr Protoc Protein Sci       Date:  2019-12

2.  Capillary electrophoresis with stationary nanogel zones of galactosidase and Erythrina cristagalli lectin for the determination of β(1-3)-linked galactose in glycans.

Authors:  Lisa A Holland; Srikanth Gattu; Cassandra L Crihfield; Lloyd Bwanali
Journal:  J Chromatogr A       Date:  2017-06-16       Impact factor: 4.759

3.  A Novel Mass Spectrometry Platform for Multiplexed N-Glycoprotein Biomarker Discovery from Patient Biofluids by Antibody Panel Based N-Glycan Imaging.

Authors:  Alyson P Black; Hongyan Liang; Connor A West; Mengjun Wang; Harmin P Herrera; Brian B Haab; Peggi M Angel; Richard R Drake; Anand S Mehta
Journal:  Anal Chem       Date:  2019-06-20       Impact factor: 6.986

Review 4.  Advances in Tools to Determine the Glycan-Binding Specificities of Lectins and Antibodies.

Authors:  Brian B Haab; Zachary Klamer
Journal:  Mol Cell Proteomics       Date:  2019-12-17       Impact factor: 5.911

5.  Mining High-Complexity Motifs in Glycans: A New Language To Uncover the Fine Specificities of Lectins and Glycosidases.

Authors:  Zachary Klamer; Ben Staal; Anthony R Prudden; Lin Liu; David F Smith; Geert-Jan Boons; Brian Haab
Journal:  Anal Chem       Date:  2017-11-03       Impact factor: 6.986

6.  Deciphering Protein Glycosylation by Computational Integration of On-chip Profiling, Glycan-array Data, and Mass Spectrometry.

Authors:  Zachary Klamer; Peter Hsueh; David Ayala-Talavera; Brian Haab
Journal:  Mol Cell Proteomics       Date:  2018-09-26       Impact factor: 5.911

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.