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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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Related Experiment Video

Updated: Jun 22, 2026

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Interesting times for microarray expression profiling.

Yvonne Hey¹, Stuart D Pepper

¹Cancer Research UK Molecular Biology Core Facility, Paterson Institute for Cancer Research, University of Manchester, Withington, Manchester M20 4BX, UK.

Briefings in Functional Genomics & Proteomics

|May 29, 2009

Summary

This summary is machine-generated.

Microarray technology has advanced significantly for gene expression profiling, but Next Generation Sequencers offer a potentially more comprehensive alternative. The field is transitioning, necessitating an evaluation of factors influencing this shift.

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Last Updated: Jun 22, 2026

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

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Published on: March 15, 2011

Performing Custom MicroRNA Microarray Experiments

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Published on: October 28, 2011

Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR (qPCR) Arrays

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Published on: December 3, 2010

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Microarray technology has evolved into a ubiquitous method for expression profiling over the past decade.
Advancements enable whole transcriptome analysis on single arrays and single-cell profiling with reduced RNA requirements.
Expression data can now be generated from archival formalin-fixed paraffin-embedded samples.

Purpose of the Study:

To assess the current landscape of expression profiling technologies.
To consider the impact of Next Generation Sequencers (NGS) as an alternative to microarrays.
To identify factors influencing the potential shift from microarrays to NGS.

Main Methods:

Review of microarray technology advancements in array content and RNA labeling.
Assessment of Next Generation Sequencer (NGS) capabilities and current limitations for expression profiling.
Analysis of sample types amenable to microarray analysis, including archival samples.

Main Results:

Microarrays have become highly sophisticated, enabling comprehensive transcriptome and single-cell analysis.
NGS platforms are emerging as powerful alternatives, though currently limited by system availability.
Archival samples can now be effectively profiled, expanding the scope of microarray applications.

Conclusions:

The increasing capabilities of microarrays coincide with the emergence of NGS as a competing technology.
While NGS offers potential for more complete expression data, its widespread adoption is pending increased availability.
Strategic consideration of the factors influencing the transition from microarrays to NGS is crucial for research facilities.