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Related Experiment Videos

Serial analysis of gene expression in eukaryotic pathogens.

James W Kronstad1

  • 1The Michael Smith Laboratories, Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. kronstad@interchange.ubc.ca

Infectious Disorders Drug Targets
|August 22, 2006
PubMed
Summary

Serial analysis of gene expression (SAGE) measures mRNA levels in pathogens. This gene expression profiling aids in discovering pathogen functions for drug and vaccine development.

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Area of Science:

  • Molecular biology
  • Genomics
  • Pathogen research

Background:

  • Serial analysis of gene expression (SAGE) is a tag-based method for measuring mRNA abundance.
  • SAGE offers an alternative or complementary approach to array-based methods for differential gene expression analysis.
  • Understanding gene expression is crucial for studying the pathogenesis of eukaryotic microbes.

Purpose of the Study:

  • To highlight the utility of SAGE in studying eukaryotic pathogens.
  • To emphasize SAGE's role in gene discovery and genome annotation for pathogens.
  • To explore the potential of SAGE in identifying targets for therapeutic interventions.

Main Methods:

  • Utilizing SAGE to collect and analyze short sequence tags representing mRNA transcripts.

Related Experiment Videos

  • Applying SAGE to various eukaryotic pathogens, including parasites (Plasmodium falciparum, Toxoplasma gondii, Giardia lamblia) and fungi (Magnaporthe grisea, Blumeria graminis, Ustilago maydis, Cryptococcus neoformans, Coccidiodes posadasii, Trichophyton rubrum).

    • Main Results:

    • SAGE provides a quantitative measure of transcript abundance.
    • The method has been successfully applied to a diverse range of eukaryotic microbial pathogens.
    • Accumulating SAGE data facilitates the identification of pathogen-specific genes.

    Conclusions:

    • SAGE is a valuable tool for molecularly dissecting pathogen virulence and proliferation mechanisms.
    • Gene discovery through SAGE can accelerate the identification of novel drug and vaccine targets.
    • This approach enhances our understanding of host-pathogen interactions and microbial pathogenesis.