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Microarrays: quality control and hybridization protocol.

Ken-ichiro Uno1, Hiroki R Ueda

  • 1Functional Genomics Subunit, Center for Developmental Biology, RIKEN, Kobe, Hyogo, Japan.

Methods in Molecular Biology (Clifton, N.J.)
|April 10, 2007
PubMed
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Quality control is essential for accurate microarray experiments studying circadian rhythms. Quantitative polymerase chain reaction (qPCR) and Affymetrix GeneChip systems ensure reliable genome-wide expression analysis.

Area of Science:

  • Molecular Biology
  • Genomics
  • Chronobiology

Background:

  • Microarray technology is widely used for studying gene expression, including circadian rhythms.
  • Ensuring data accuracy requires rigorous quality control before large-scale analysis.
  • Circadian rhythm research benefits from precise gene expression profiling.

Purpose of the Study:

  • To outline quality control methods for microarray experiments.
  • To detail the application of quantitative polymerase chain reaction (qPCR) for sample validation.
  • To describe genome-wide expression analysis using Affymetrix GeneChip.

Main Methods:

  • Utilizing quantitative polymerase chain reaction (qPCR) on the ABI PRISM 7900HT system for sample quality control.
  • Employing Affymetrix GeneChip system for comprehensive genome-wide expression profiling.

Related Experiment Videos

  • Implementing established protocols for microarray data acquisition and analysis.

    • Main Results:

    • Demonstrated the importance of qPCR in validating sample quality for downstream microarray analysis.
    • Successfully applied Affymetrix GeneChip for high-throughput gene expression studies.
    • Established a workflow integrating quality control with genome-wide expression analysis.

    Conclusions:

    • Rigorous quality control, including qPCR, is critical for reliable microarray-based circadian rhythm studies.
    • The Affymetrix GeneChip system provides a powerful platform for genome-wide expression analysis.
    • This chapter provides a practical guide for optimizing microarray experiments in chronobiology research.