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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 8, 2026

Analysis of Histone Antibody Specificity with Peptide Microarrays

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Label-free prehybridization DNA microarray imaging using photonic crystals for quantitative spot quality analysis.

S George¹, I D Block, S I Jones

¹Department of Bioengineering, University of Illinois at Urbana-Champaign, 1304 West Springfield Avenue, Urbana, Illinois 61801, USA.

Analytical Chemistry

|September 23, 2010

Summary

Label-free imaging using photonic crystal biosensors improves microarray quality control. This method identifies missed spots and assesses feature quality, enhancing data reliability in experiments.

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Last Updated: Jun 8, 2026

Analysis of Histone Antibody Specificity with Peptide Microarrays

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Published on: August 1, 2017

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High-Density DNA and RNA microarrays - Photolithographic Synthesis, Hybridization and Preparation of Large Nucleic Acid Libraries

High-Density DNA and RNA microarrays - Photolithographic Synthesis, Hybridization and Preparation of Large Nucleic Acid Libraries

Published on: August 12, 2019

Area of Science:

Biotechnology
Biosensing
Microarray Technology

Background:

Technical variability in DNA probe printing hinders microarray data quality.
Current visualization methods often require fluorescent labels, altering standard protocols.

Purpose of the Study:

To develop a label-free technique for assessing microarray spot quality before hybridization.
To utilize photonic crystal biosensors for high-resolution imaging of printed microarrays.

Main Methods:

Employed a photonic crystal biosensor and label-free imaging instrument.
Generated prehybridization images of spotted oligonucleotide microarrays.
Quantified spot intensity, size, saturation, and background for automated quality assessment.

Main Results:

Achieved >95% sensitivity in identifying missed spots.
Developed a spot quality scoring system to reflect feature integrity.
Filtering by quality scores improved correlation of posthybridization data between replicate arrays.

Conclusions:

Label-free imaging provides valuable prehybridization quality control for microarrays.
This technique enhances data reproducibility by addressing printing variability.
Applicable to various microarray types, including cDNA, oligonucleotide, and protein arrays.