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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: Mar 26, 2026

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

Chromosomal microarray analysis, or comparative genomic hybridization: A high throughput approach.

Mohammad Haeri¹, Violet Gelowani², Arthur L Beaudet²

¹Department of Molecular & Human Genetics, One Baylor Plaza, Houston, TX, United States; Department of Pathology & Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, United States.

|February 11, 2016

Summary

This summary is machine-generated.

This study presents a new, cost-effective, and fast protocol for high-throughput chromosomal microarray analysis (CMA). This method enables high-quality detection of copy number variations (CNVs) crucial for diagnosing genetic disorders.

Keywords:

Chromosomal microarray analysis Comparative genomic hybridization Copy number variants

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Area of Science:

Genetics
Molecular Biology
Bioinformatics

Background:

Pathological copy number variants (CNVs) and point mutations are significant genetic causes of numerous disorders.
Chromosomal microarray analysis (CMA), also known as comparative genomic hybridization (CGH), is the primary method for detecting CNVs.
There is a growing demand for high-throughput and high-quality CMA methods.

Purpose of the Study:

To introduce an optimized, high-throughput protocol for chromosomal microarray analysis (CMA).
To develop a cost-effective, fast, and high-quality method for detecting copy number variations (CNVs).

Main Methods:

Optimization of various protocols for CMA.
Implementation of a high-throughput approach for array processing.
Detailed instructions provided for processing up to 24 slides (48-192 arrays) per person per day.

Main Results:

Achieved high-quality arrays with a Derivative Log Ratio (DLR) spread of 17 ± 0.04 (n=90), indicating excellent array performance (<0.20).
The protocol is designed for efficiency, allowing a single person to process a large number of arrays in a single day.
A step-by-step video accompanies the manuscript to guide users through the protocol.

Conclusions:

The developed protocol offers a low-cost, fast, efficient, and high-throughput solution for high-quality CMA.
This advancement addresses the increasing demand for scalable and reliable methods in genetic disorder diagnostics.
The protocol facilitates the detection of CNVs, aiding in the diagnosis of hundreds of genetic disorders.