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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Chemically-blocked Antibody Microarray for Multiplexed High-throughput Profiling of Specific Protein Glycosylation in Complex Samples

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Glycoarray Technologies: Deciphering Interactions from Proteins to Live Cell Responses.

Tania M Puvirajesinghe^1,2,3,4, Jeremy E Turnbull⁵

¹CRCM (Centre de Recherche en Cancérologie de Marseille), Cell Polarity, Cell Signalling and Cancer "Equipe labellisée Ligue Contre le Cancer", Inserm, U1068, Marseille F-13009, France. taniap@liverpool.ac.uk.

Microarrays (Basel, Switzerland)

|September 8, 2016

Summary

This summary is machine-generated.

Carbohydrate arrays, or glycoarrays, enable high-throughput (HTP) study of interactions. These arrays now analyze complex biological events, including live cell responses to immobilized glycans.

Keywords:

glycobioarrays glycoconjugates glycomics heparan sulfate saccharide libraries

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Last Updated: Mar 15, 2026

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Published on: May 4, 2012

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Published on: January 7, 2019

Area of Science:

Biochemistry
Molecular Biology
Cell Biology

Background:

Microarray technology has driven the development of carbohydrate arrays (glycoarrays).
Early glycoarray designs faced challenges due to glycan complexity and variability.
Initial applications focused on high-throughput (HTP) protein-glycan binding and kinetic analyses.

Purpose of the Study:

To provide a comprehensive overview of established glycoarray technologies.
To highlight emerging applications of glycoarrays in biological research.
To emphasize the role of glycoarrays in studying glycosaminoglycan interactions.

Main Methods:

Review of established glycoarray technologies.
Analysis of applications in discriminating interactions between carbohydrates and biological entities.
Discussion of combining glycoarrays with other HTP technologies like mass spectrometry.

Main Results:

Glycoarrays have evolved beyond protein interactions to analyze viruses, bacteria, eukaryotic cells, and live cell responses.
Successful discrimination of selective carbohydrate interactions is now achievable.
Integration with HTP technologies promises enhanced analytical accuracy and sensitivity.

Conclusions:

Glycoarray technology has rapidly expanded its applications in studying complex biological interactions.
Glycoarrays are valuable tools for investigating glycosaminoglycan-related biological events.
Future directions include further integration with HTP methods for advanced cellular analysis.