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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: Jul 6, 2026

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 10, 2009

Quantitative oligonucleotide microarray data analysis with an artificial standard probe strategy.

Byeong Hee Hwang¹, Hyung Joon Cha

¹Department of Chemical Engineering, Pohang University of Science and Technology, Pohang 790-784, Republic of Korea.

Biosensors & Bioelectronics

|March 14, 2008

Summary

This study introduces an artificial standard probe for accurate DNA microarray data. This method corrects variations, enabling reliable quantitative pathogen detection and analysis.

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Last Updated: Jul 6, 2026

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

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Published on: August 10, 2009

Performing Custom MicroRNA Microarray Experiments

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Published on: October 28, 2011

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Published on: January 16, 2018

Area of Science:

Molecular Biology
Bioinformatics
Genomics

Background:

Quantitative data analysis is crucial for DNA microarray applications like mRNA expression profiling and pathogen dose estimation.
Existing methods face challenges with chip-to-chip variations and accurate quantitative analysis in DNA microarray systems.

Purpose of the Study:

To develop and validate an artificial standard probe strategy for precise quantitative pathogen detection using DNA microarrays.
To address and correct for chip-to-chip variations in one-color labeled DNA microarray systems.

Main Methods:

An artificial standard probe with a sequence designed to avoid non-specific hybridization with bacterial targets was created.
The oligonucleotide chip served as a model system for quantitative pathogen detection.
Fluorescence intensities from artificial standard spots were used to correct raw data from specific spots.

Main Results:

The artificial standard probe effectively corrected raw fluorescence intensity data.
Corrected data demonstrated linear correlations with target concentrations, indicating improved accuracy.
The strategy successfully addressed chip-to-chip variations inherent in DNA microarray systems.

Conclusions:

The novel artificial standard probe strategy significantly enhances quantitative data analysis for one-color DNA microarrays.
This approach offers a robust solution for accurate pathogen detection and reliable quantification in molecular diagnostics.