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Microarray Polymer Profiling (MAPP) for High-Throughput Glycan Analysis

Lookup NU author(s): Cassie Bakshani, Sarana Sommano, Professor William WillatsORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2023 JoVE. Microarray polymer profiling (MAPP) is a robust and reproducible approach to systematically determine the composition and relative abundance of glycans and glycoconjugates within a variety of biological samples, including plant and algal tissues, food materials, and human, animal, and microbial samples. Microarray technology underpins the efficacy of this method by providing a miniaturized, high-throughput screening platform, allowing thousands of interactions between glycans and highly specific glycan-directed molecular probes to be characterized concomitantly, using only small amounts of analytes. Constituent glycans are chemically and enzymatically fractionated, before being sequentially extracted from the sample and directly immobilized onto nitrocellulose membranes. The glycan composition is determined by the attachment of specific glycan-recognizing molecular probes to the extorted and printed molecules. MAPP is complementary to conventional glycan analysis techniques, such as monosaccharide and linkage analysis and mass spectrometry. However, glycan-recognizing molecular probes provide insight into the structural configurations of glycans, which can aid in elucidating biological interactions and functional roles.


Publication metadata

Author(s): Bakshani CR, Sangta J, Sommano S, Willats WGT

Publication type: Article

Publication status: Published

Journal: Journal of Visualized Experiments

Year: 2023

Volume: 2023

Issue: 199

Online publication date: 29/09/2023

Acceptance date: 02/04/2018

Date deposited: 09/11/2023

ISSN (electronic): 1940-087X

Publisher: Journal of Visualized Experiments

URL: https://doi.org/10.3791/65443

DOI: 10.3791/65443


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Funding

Funder referenceFunder name
Fundamental Fund, Chiang Mai University
FF65/004

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