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Carbohydrate chips for studying high-throughput carbohydrate-protein interactions.

Sungjin Park1, Myung-ryul Lee, Soon-Jin Pyo

  • 1Department of Chemistry, Yonsei University, Seoul 120-749, Korea.

Journal of the American Chemical Society
|April 15, 2004
PubMed
Summary

This study introduces a novel high-throughput carbohydrate chip for analyzing carbohydrate-protein interactions. The developed method efficiently immobilizes carbohydrates, enabling selective lectin binding and affinity analysis.

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Area of Science:

  • Carbohydrate chemistry
  • Biomolecular interactions
  • Glycobiology

Background:

  • Carbohydrate-protein interactions are crucial in biological processes.
  • Traditional methods for studying these interactions lack high-throughput capabilities.
  • Developing novel tools for high-throughput analysis of carbohydrate-protein recognition is needed.

Purpose of the Study:

  • To develop a novel high-throughput tool for monitoring carbohydrate-protein interactions.
  • To create carbohydrate chips for efficient analysis of these biomolecular recognition events.

Main Methods:

  • Preparation of carbohydrate microarrays by immobilizing maleimide-linked carbohydrates on thiol-derivatized glass slides.
  • Lectin binding experiments using the fabricated carbohydrate microarrays.

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  • Fabrication of carbohydrate chips using solution-phase parallel and enzymatic glycosylations to generate diverse carbohydrate probes, including sialyl Le(x).

    • Main Results:

    • Carbohydrates with distinct structural features selectively bound to corresponding lectins.
    • Relative binding affinities determined by microarrays correlated with solution-based assays.
    • Quantitative analysis of lectin-carbohydrate binding affinities was achieved by determining IC(50) values.

    Conclusions:

    • Carbohydrate chips can be efficiently prepared via covalent immobilization of maleimide-linked carbohydrates on thiol-coated glass slides.
    • These carbohydrate chips are suitable for high-throughput analysis of carbohydrate-protein interactions.
    • The developed method provides a valuable tool for advancing research in glycobiology and understanding biomolecular recognition.