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Related Concept Videos

DNA Microarrays02:34

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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Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
16:37

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Published on: August 5, 2008

Effects of ozone exposure during microarray posthybridization washes and scanning.

Steve Byerly1, Kyle Sundin, Rajiv Raja

  • 1Signature Genomic Laboratories, 2820 N. Astor St., Spokane, WA 99207, USA.

The Journal of Molecular Diagnostics : JMD
|September 22, 2009
PubMed
Summary

Environmental ozone negatively impacts microarray data quality in clinical laboratories. Minimizing ozone exposure during microarray processing and scanning is crucial for accurate array-based comparative genomic hybridization results.

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DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
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Last Updated: Jun 20, 2026

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
16:37

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DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
09:27

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Area of Science:

  • Genomics
  • Clinical Diagnostics
  • Environmental Science

Background:

  • Array-based comparative genomic hybridization (aCGH) is increasingly used in clinical settings.
  • Quality control is essential for reliable aCGH results.
  • Environmental ozone is a pervasive pollutant detrimental to biological data.

Purpose of the Study:

  • To investigate the impact of environmental ozone on microarray data.
  • To evaluate ozone's effects across different fluorescent labeling platforms used in aCGH.
  • To establish best practices for minimizing ozone-induced data degradation.

Main Methods:

  • Microarrays were washed in environments with varying ozone concentrations.
  • The effects of prolonged ozone exposure on washed microarrays were assessed.
  • Data quality was analyzed across three distinct labeling platforms (Cy3/Cy5, Alexa Fluor 555/647, Alexa Fluor 3/5).

Main Results:

  • Ozone exposure significantly affects microarray data quality, even at low concentrations.
  • Different fluorescent dyes exhibited varying sensitivities to ozone.
  • Immediate scanning post-washing is recommended, but low-ozone environments mitigate data loss.

Conclusions:

  • Minimizing ozone exposure during microarray washing and drying is critical for accurate aCGH.
  • Prompt scanning of microarrays is ideal for preserving data integrity.
  • Maintaining a low-ozone environment can significantly reduce data compromise.