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Serial analysis of gene expression

V E Velculescu1, L Zhang, B Vogelstein

  • 1Oncology Center, Johns Hopkins University, Baltimore, MD 21231, USA.

Science (New York, N.Y.)
|October 20, 1995
PubMed
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Researchers developed serial analysis of gene expression (SAGE) to analyze gene transcripts. This method identified key pancreatic gene expression patterns, revealing novel transcripts and offering a new tool for studying gene expression in various states.

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Gene expression profiles are crucial for understanding organism characteristics.
  • Analyzing numerous transcripts simultaneously is essential for comprehensive gene expression studies.

Purpose of the Study:

  • To introduce and demonstrate the utility of Serial Analysis of Gene Expression (SAGE) for quantitative transcript analysis.
  • To catalog and compare gene expression patterns in different biological states.

Main Methods:

  • Development of the Serial Analysis of Gene Expression (SAGE) technique.
  • Isolation and sequencing of short diagnostic sequence tags from pancreatic tissue.
  • Concatenation, cloning, and manual sequencing of approximately 1000 tags.

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Main Results:

  • Established a gene expression pattern characteristic of pancreatic function.
  • Identified novel pancreatic transcripts through the analysis of unique sequence tags.
  • Demonstrated the feasibility of SAGE for large-scale transcript analysis.

Conclusions:

  • SAGE enables quantitative and simultaneous analysis of a large number of transcripts.
  • The method provides a broadly applicable tool for cataloging and comparing gene expression.
  • SAGE is valuable for studying gene expression in normal, developmental, and disease states.