Serial analysis of gene expression: Probing transcriptomes for molecular targets

Anita Lal, I. Mei Siu, Gregory J. Riggins

Research output: Contribution to journalArticlepeer-review

Abstract

Serial analysis of gene expression (SAGE) is a method to rapidly count expressed RNA transcripts in a population of cells. The basic approach is to isolate a small transcript tag, clone multiple tags into a sequencing vector and efficiently count the tags by automated sequencing. The result is the fractional representation of nearly every transcript (the transcriptome), in a digital format. These tag counts can be compared to other SAGE libraries yielding differentially expressed genes. Analysis of the differentially expressed genes has been used to determine which genes are involved in a disease process. The promise of this technology is that by understanding when genes are pathologically altered in expression, therapies can be formulated to target the appropriate gene or pathway.

Original languageEnglish (US)
Pages (from-to)720-726
Number of pages7
JournalCurrent Opinion in Molecular Therapeutics
Volume1
Issue number6
StatePublished - Dec 1 1999

Keywords

  • Bioinformatics
  • CGAP
  • Gene expression
  • SAGE
  • Transcriptome

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Pharmacology
  • Drug Discovery
  • Genetics(clinical)

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