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Validation and quality control of protein microarray-based analytical methods.

Larry J Kricka1, Stephen R Master

  • 1Department of Pahology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Methods in Molecular Medicine
|September 15, 2005
PubMed
Summary
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Quality control is crucial for adapting microarray assays to clinical diagnostics. Strategies from DNA microarrays inform protein microarray quality assurance for reliable clinical test results.

Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Clinical Diagnostics

Background:

  • Microarrays enable simultaneous analysis of thousands of substances.
  • Transitioning microarray assays to clinical diagnostics necessitates robust quality control (QC) and quality assurance (QA).
  • Preanalytical (reagent/sample quality) and analytical (reaction conditions, calibration) factors can compromise assay results.

Purpose of the Study:

  • To review quality control measures for protein microarrays.
  • To leverage lessons learned from DNA microarray quality assurance.
  • To discuss considerations for protein microarrays in routine clinical analysis.

Main Methods:

  • Review of existing QC/QA strategies for microarrays.
  • Comparison of DNA and protein microarray QC challenges.

Related Experiment Videos

  • Analysis of factors affecting accuracy and precision in microarray assays.

    • Main Results:

    • Microarrays present unique QC challenges due to multiplexing.
    • Replicate analysis, on-array controls, and normalization are key strategies.
    • Lessons from DNA microarrays are applicable to protein microarray development.

    Conclusions:

    • Ensuring analytical accuracy and data quality is paramount for clinical protein microarrays.
    • Standardized QC protocols are essential for reliable clinical test results.
    • Protein microarrays require specific QA measures for successful clinical implementation.