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Quality control for microarray experiments.

O Hartmann1

  • 1Institute of Medical Biometry and Epidemiology, Medical Center, Philipps University Marburg, Marburg, Germany. oliver.hartmann@epigenomics.com

Methods of Information in Medicine
|August 23, 2005
PubMed
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This review overviews post-hybridization quality control methods for gene expression chips. Implementing these methods ensures reliable gene expression data and prevents resource loss from faulty experiments.

Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Biostatistics

Background:

  • Gene expression chips are standard tools in biological and medical research.
  • Ensuring data quality is critical to avoid resource misallocation due to false findings.
  • Post-hybridization quality control is essential for reliable microarray experiment outcomes.

Purpose of the Study:

  • To provide an overview of post-hybridization quality control methods for gene expression chips.
  • To present quality control methods applicable after hybridization and image analysis.
  • To focus on platform-independent methods applicable to spotted cDNA and Affymetrix GeneChips.

Main Methods:

  • Review of quality control strategies at the gene/spot, hybridization/chip, and process levels.

Related Experiment Videos

  • Examples provided for spotted cDNA and Affymetrix GeneChips.
  • Emphasis on methods that can be applied across different microarray technologies.

    • Main Results:

    • Quality control methods can identify poor quality chips, hybridizations, and faulty gene/spot measurements.
    • Process control is crucial for high-throughput laboratories to detect production changes early.
    • Effective quality control enhances the reliability of gene expression data.

    Conclusions:

    • Standardized quality control for microarrays is highly needed.
    • Implementing robust quality control safeguards research resources.
    • Reliable gene expression data is fundamental for biological and medical advancements.