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Related Experiment Videos

Gene profiling techniques and their application in angiogenesis and vascular development.

F V Peale1, M E Gerritsen

  • 1Department of Pathology, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA. fpeale@gene.com

The Journal of Pathology
|September 25, 2001
PubMed
Summary

Gene expression analysis has advanced from single genes to comprehensive surveys using techniques like SAGE. Sophisticated tools now help define complex regulatory networks in vascular development.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Developmental Biology

Background:

  • Gene expression analysis has evolved significantly over two decades.
  • Early methods focused on limited gene identification, while current approaches survey all expressed genes.

Purpose of the Study:

  • To describe the evolution of gene expression analysis techniques.
  • To highlight the role of databases and software in managing large datasets.
  • To explain how these advancements drive the understanding of gene regulatory networks in angiogenesis and vascular development.

Main Methods:

  • Utilizing large-scale cDNA arrays and oligonucleotide arrays.
  • Employing molecular tagging techniques such as GeneCalling and SAGE (Serial Analysis of Gene Expression).
  • Leveraging comprehensive human and mouse EST (Expressed Sequence Tag) and full-length gene sequence databases.

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  • Integrating sophisticated bioinformatics software for data analysis and organization.
  • Incorporating data from human genetic syndromes, transgenic, and knockout mouse models.

    • Main Results:

    • Shift from narrow gene scope to broad, open-ended gene surveying.
    • Current methods generate vast amounts of data requiring advanced analytical tools.
    • Bioinformatics tools organize data into functionally or temporally similar groups.
    • Combined techniques have advanced the understanding of angiogenesis and vascular development.

    Conclusions:

    • Modern gene expression analysis provides a comprehensive view of biological systems.
    • Sophisticated computational tools are essential for interpreting large-scale genomic data.
    • These advancements enable the definition of complex gene regulatory networks, crucial for understanding developmental processes like angiogenesis.