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

Cassie R. Bakshani; Jiraporn Sangta; Sarana Sommano; William G. T. Willats

doi:10.3791/65443

Perfil de polímeros de microarrays (MAPP) para análisis de glicanos de alto rendimiento

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Biology

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JoVE Journal Biology

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

Perfil de polímeros de microarrays (MAPP) para análisis de glicanos de alto rendimiento

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07:12 min

September 29, 2023

DOI: 10.3791/65443-v

Cassie R. Bakshani^1,2, Jiraporn Sangta³, Sarana Sommano³, William G. T. Willats¹

¹Department of Biology, School of Natural and Environmental Sciences,Newcastle University, ²Institute of Microbiology and Infection, College of Medical and Dental Sciences,University of Birmingham, ³Department of Plant and Soil Sciences, Faculty of Agriculture,Chiang Mai University

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Overview

This study investigates the occurrence, functions, and structures of complex glycans in various biological samples. The introduction of Microarray Polymer Profiling (MAPP) enhances the analysis by preserving important structural information of glycans, which are typically difficult to examine due to their complexity.

Key Study Components

Research Area

Glycan analysis in biological systems
Non-contact microarray technology
Characterization of carbohydrate structures

Background

Complex glycans present challenges due to structural heterogeneity
Traditional methods break glycans into monosaccharides
MAPP retains 3D structural information for better analysis

Methods Used

Mechanical tissue lysing and serial dilutions for sample preparation
Usage of microarray technology for glycan profiling
Incorporation of monoclonal antibodies for specific epitope detection

Main Results

Detection of 16 different epitopes indicative of non-cellulosic plant cell wall polysaccharides
Strong binding signals for specific glycans in various mango varieties
Validation of results through comparative analysis of tissue extracts

Conclusions

The study effectively demonstrates MAPP's utility in glycan analysis.
Findings are relevant for advancing methods in glycan research, especially in biological and agricultural fields.

Frequently Asked Questions

What is Microarray Polymer Profiling (MAPP)?

MAPP is a high-throughput technique for analyzing the composition of glycans while retaining their structural information.

Why is studying glycans important?

Glycans play crucial roles in various biological processes and their study can enhance our understanding of cell biology and interactions.

What challenges are associated with glycan analysis?

Glycans are structurally heterogeneous and complex, making their analysis difficult compared to simpler biomolecules.

How does MAPP improve glycan analysis?

MAPP allows for the retention of significant structural 3D information, which is often lost in traditional analysis methods.

What were the key findings regarding mango glycans?

Specific glycan structures demonstrated strong binding signals, indicating their presence and potential functions in mango varieties.

Are there applications for MAPP in industry?

Yes, MAPP can be utilized in various commercial applications, especially in agriculture and biotechnology.

How can this research be applied to further studies?

The methods and findings can aid in developing advanced techniques for glycan profiling in various biological research areas.

El perfil de polímeros de microarrays (MAPP) es una técnica de alto rendimiento para el análisis de la composición de glicanos en muestras biológicas.

Nuestra investigación se centra en las funciones y estructuras de ocurrencia de glicanos complejos dentro de diversos sistemas domésticos, industriales y comerciales. Los nuevos refinamientos de la tecnología de microarrays sin contacto y nuestra capacidad para acceder rápidamente a la información de secuencia de los módulos de unión de carbohidratos están aumentando nuestra capacidad tanto para imprimir como para interrogar microarrays de glicanos. Los glicanos son difíciles de estudiar debido a su heterogeneidad estructural, complejidad y variabilidad en la biosíntesis.

Muchos métodos de análisis de glicanos requieren la descomposición de los glicanos en sus monosacáridos constituyentes. MAPP ofrece una plataforma versátil de análisis de glicanos que conserva gran parte de la información estructural 3D importante.