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Related Experiment Videos

High throughput analysis of differential gene expression

J P Carulli1, M Artinger, P M Swain

  • 1Department of Human Genetics, Genome Therapeutics Corporation, Waltham, Massachusetts 02154, USA.

Journal of Cellular Biochemistry. Supplement
|January 20, 1999
PubMed
Summary
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This review explores five key methods for analyzing differential gene expression, crucial for understanding biological processes and discovering new drug targets. Evaluating gene expression changes effectively is vital for biological discovery and therapeutic development.

Area of Science:

  • Genomics
  • Molecular Biology
  • Computational Biology

Background:

  • Analyzing differential gene expression is fundamental to understanding biological processes.
  • High-throughput methods have advanced the study of gene expression.
  • Applications span cell biology, developmental biology, drug development, and pharmacogenomics.

Purpose of the Study:

  • To review and discuss the attributes of five common differential gene expression methods.
  • To illustrate the application of these methods with examples in biological discovery.
  • To highlight the importance of experimental context in identifying differentially expressed genes.

Main Methods:

  • Expressed Sequence Tag (EST) sequencing
  • cDNA microarray hybridization

Related Experiment Videos

  • Subtractive cloning
  • Differential display
  • Serial Analysis of Gene Expression (SAGE)

    • Main Results:

    • EST sequencing and microarray hybridization aided in discovering novel genes in osteoblast differentiation.
    • Subtractive cloning identified genes regulated in vivo by the transcription factor pax-6.
    • Genomic approaches are powerful for discovering novel genes and potential drug targets.

    Conclusions:

    • Each differential gene expression analysis method has its utility.
    • The success of identifying differentially expressed genes depends critically on experimental context and evaluation.
    • Genomics offers significant potential for biological discovery and drug development targets.