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Related Experiment Videos

Cancer target discovery using SAGE.

Dale Porter1, Kornelia Polyak

  • 1Department of Medicine, Harvard Medical School, Boston, MA, USA.

Expert Opinion on Therapeutic Targets
|December 4, 2003
PubMed
Summary
This summary is machine-generated.

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Cancer, a genetic disease, involves transcriptional changes. Serial Analysis of Gene Expression (SAGE) globally analyzes gene expression for novel discoveries, aiding in identifying cancer markers and therapeutic targets.

Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • Cancer is fundamentally a genetic disease driven by mutations and epigenetic alterations.
  • These genetic events cause significant changes in gene expression within cancer cells.
  • Altered gene expression is crucial for the development and progression of cancer.

Purpose of the Study:

  • To introduce Serial Analysis of Gene Expression (SAGE) as a powerful tool for cancer research.
  • To highlight SAGE's capability for global, unbiased, and quantitative transcriptome characterization.
  • To demonstrate SAGE's utility in discovering novel transcripts and understanding cancer gene expression.

Main Methods:

  • Utilizing Serial Analysis of Gene Expression (SAGE) for comprehensive transcriptome analysis.

Related Experiment Videos

  • Analyzing gene expression patterns in both normal and malignant cells.
  • Employing SAGE for unbiased, quantitative characterization of thousands of genes simultaneously.

    • Main Results:

    • SAGE enables the analysis of numerous genes without prior sequence knowledge, facilitating novel transcript discovery.
    • The method allows for detailed characterization of normal versus malignant gene expression profiles.
    • SAGE can identify downstream targets of key cancer-related genes like tumor suppressors and oncogenes.

    Conclusions:

    • Comprehensive SAGE analyses offer new avenues for discovering diagnostic and prognostic markers in cancer.
    • SAGE facilitates the identification of novel therapeutic targets for cancer treatment.
    • This approach enhances genome annotation and deepens the understanding of cancer biology.