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Microarray-based expression profiling and informatics.

Richard Simon1

  • 1National Cancer Institute, 9000 Rockville Pike, MSC 7434, Bethesda, MD 20892, United States. rsimon@nih.gov

Current Opinion in Biotechnology
|December 7, 2007
PubMed
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Microarray expression profiling aids biological studies and predictive classifier development. This review covers the state-of-the-art in designing and analyzing these powerful, high-dimensional investigations to minimize misleading conclusions.

Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Biotechnology

Background:

  • Microarray-based expression profiling is a key technology in biological research.
  • It enables the study of biological mechanisms and the development of predictive classifiers for clinical applications.
  • The high-dimensional data generated presents both opportunities for novel studies and risks of erroneous conclusions.

Purpose of the Study:

  • To review the current state-of-the-art in the design of microarray-based investigations.
  • To review the current state-of-the-art in the analysis of microarray-based investigations.
  • To provide guidance on leveraging microarray data while mitigating risks of misleading findings.

Main Methods:

  • Literature review of current methodologies in microarray experimental design.

Related Experiment Videos

  • Systematic review of contemporary data analysis techniques for high-dimensional microarray data.
  • Synthesis of best practices for interpreting microarray-based expression profiling results.

    • Main Results:

    • Identified key considerations for robust microarray experimental design.
    • Highlighted advanced analytical approaches for handling high-dimensional genomic data.
    • Emphasized the importance of rigorous statistical methods to ensure reliable conclusions.

    Conclusions:

    • Microarray expression profiling is a valuable tool when designed and analyzed appropriately.
    • Adherence to state-of-the-art design and analysis protocols is crucial for accurate biological insights and reliable clinical classifiers.
    • This review provides a framework for maximizing the utility and minimizing the pitfalls of microarray technology.