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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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Updated: Dec 7, 2025

Chemo-enzymatic Synthesis of N-glycans for Array Development and HIV Antibody Profiling

Chemo-enzymatic Synthesis of N-glycans for Array Development and HIV Antibody Profiling

Published on: February 5, 2018

Tools for generating and analyzing glycan microarray data.

Akul Y Mehta¹, Jamie Heimburg-Molinaro¹, Richard D Cummings¹

¹Department of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, 02215, USA.

Beilstein Journal of Organic Chemistry

|September 28, 2020

Summary

This summary is machine-generated.

Glycan microarrays reveal crucial protein-glycan binding interactions. This review details data generation, analysis methods, and tools for understanding these vital biological processes.

Keywords:

data analysis glycan binding glycan microarray glycomics informatics

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Author Spotlight: MAPP Protocol – Advancing Glycan Analysis

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Last Updated: Dec 7, 2025

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Area of Science:

Carbohydrate Chemistry and Glycobiology
Biochemistry and Molecular Biology

Background:

Glycans are essential biological polymers in mammals, influencing numerous physiological and pathological processes.
Understanding protein-glycan interactions is critical for deciphering biological functions and disease mechanisms.

Purpose of the Study:

To provide a comprehensive overview of glycan microarray data generation and experimental binding analysis.
To highlight the importance of data analysis in interpreting glycan microarray results.
To review available tools for the analysis of glycan microarray data.

Main Methods:

Detailed description of glycan microarray data generation protocols.
Explanation of experimental methods for studying protein-glycan binding.
Overview of data analysis strategies, including repositories, visualization, and computational tools.

Main Results:

Glycan microarrays offer extensive information on protein-glycan interactions.
A structured approach to data analysis is crucial for extracting meaningful insights.
Various tools exist for manual, automated, and structural analysis of glycan microarray data.

Conclusions:

Glycan microarrays are powerful tools for studying complex biological interactions.
Effective data analysis is key to unlocking the full potential of glycan microarray technology.
The reviewed tools support diverse analytical needs in glycomics research.