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Serial microanalysis of renal transcriptomes.

B Virlon1, L Cheval, J M Buhler

  • 1Département de Biologie Cellulaire et Moléculaire, Service de Biologie Cellulaire, Centre National de la Recherche Scientifique Unité de Recherche Associée 1859, France.

Proceedings of the National Academy of Sciences of the United States of America
|December 28, 1999
PubMed
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Serial analysis of gene expression (SAGE) was adapted for small samples, enabling detailed gene expression analysis in specific mouse kidney cell types. This method reveals novel transcripts and improves understanding of complex tissue gene function.

Area of Science:

  • Molecular Biology
  • Genomics
  • Nephrology

Background:

  • Large-scale gene expression studies are common but may lack resolution in complex tissues.
  • Current methods struggle to analyze gene expression in minor cell populations within tissues.

Purpose of the Study:

  • To adapt Serial Analysis of Gene Expression (SAGE) for analyzing gene expression in small cell samples.
  • To quantitatively profile mRNA in microdissected mouse kidney tubules.
  • To identify novel transcripts and understand gene function in specific kidney cell types.

Main Methods:

  • Serial Analysis of Gene Expression (SAGE) was performed on whole mouse kidneys.
  • A modified SAGE protocol was developed for significantly reduced starting material (downsized extracts).

Related Experiment Videos

  • Gene expression was analyzed in microdissected kidney tubules (approximately 50,000 cells).

    • Main Results:

    • Whole-kidney SAGE primarily detected abundant transcripts from predominant epithelial cells.
    • Downsized SAGE successfully generated specific gene expression profiles from microdissected tubules.
    • Known kidney tubule markers (uromodulin, aquaporin-2) were appropriately enriched.
    • Several novel or poorly characterized transcripts with specific tissue distribution were identified.

    Conclusions:

    • SAGE adaptation for downsized extracts enables large-scale, quantitative gene expression analysis in small biological samples.
    • This approach enhances the study of tissue-specific gene expression and function, particularly for genes missed by other high-throughput methods.
    • It provides a powerful tool for exploring the molecular landscape of complex organs like the kidney.