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Multiplex glycan bead array for high throughput and high content analyses of glycan binding proteins

Author

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  • Sharad Purohit

    (Medical College of Georgia, Augusta University
    Medical College of Georgia, Augusta University
    College of Allied Health Sciences Augusta University)

  • Tiehai Li

    (Georgia State University)

  • Wanyi Guan

    (Georgia State University)

  • Xuezheng Song

    (Emory University School of Medicine)

  • Jing Song

    (Georgia State University)

  • Yanna Tian

    (Medical College of Georgia, Augusta University)

  • Lei Li

    (Georgia State University)

  • Ashok Sharma

    (Medical College of Georgia, Augusta University)

  • Boying Dun

    (Medical College of Georgia, Augusta University
    Medical College of Georgia, Augusta University)

  • David Mysona

    (Medical College of Georgia, Augusta University)

  • Sharad Ghamande

    (Medical College of Georgia, Augusta University)

  • Bunja Rungruang

    (Medical College of Georgia, Augusta University)

  • Richard D. Cummings

    (Harvard Medical School)

  • Peng George Wang

    (Georgia State University)

  • Jin-Xiong She

    (Medical College of Georgia, Augusta University
    Medical College of Georgia, Augusta University)

Abstract

Glycan-binding proteins (GBPs) play critical roles in diverse cellular functions such as cell adhesion, signal transduction and immune response. Studies of the interaction between GBPs and glycans have been hampered by the availability of high throughput and high-content technologies. Here we report multiplex glycan bead array (MGBA) that allows simultaneous analyses of 384 samples and up to 500 glycans in a single assay. The specificity, sensitivity and reproducibility of MGBA are evaluated using 39 plant lectins, 13 recombinant anti-glycan antibodies, and mammalian GBPs. We demonstrate the utility of this platform by the analyses of natural anti-glycan IgM and IgG antibodies in 961 human serum samples and the discovery of anti-glycan antibody biomarkers for ovarian cancer. Our data indicate that the MGBA platform is particularly suited for large population-based studies that require the analyses of large numbers of samples and glycans.

Suggested Citation

  • Sharad Purohit & Tiehai Li & Wanyi Guan & Xuezheng Song & Jing Song & Yanna Tian & Lei Li & Ashok Sharma & Boying Dun & David Mysona & Sharad Ghamande & Bunja Rungruang & Richard D. Cummings & Peng Ge, 2018. "Multiplex glycan bead array for high throughput and high content analyses of glycan binding proteins," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02747-y
    DOI: 10.1038/s41467-017-02747-y
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    Cited by:

    1. Paul M. H. Tran & Fran Dong & Eileen Kim & Katherine P. Richardson & Lynn K. H. Tran & Kathleen Waugh & Diane Hopkins & Richard D. Cummings & Peng George Wang & Marian J. Rewers & Jin-Xiong She & Shar, 2022. "Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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