A strategy to identify differentially expressed genes using representational difference analysis and cDNA arrays

Sunkyu Kim, Karen Zeller, Chi V. Dang, Eric P. Sandgren, Linda A. Lee

Research output: Contribution to journalArticle

Abstract

Representational difference analysis (RDA) combined with cDNA arrays is an effective approach to identify differentially expressed genes. To identify differentially expressed genes in c-Myc transgenic mouse liver, we compared the virtues of probing commercially available cDNA arrays with either radiolabeled cDNA pools or radiolabeled difference products (DP2) derived from RDA using c-Myc transgenic and normal mouse liver. Probing commercial and custom arrays with DP2 products led to the identification of transcripts of low abundance that were missed when the arrays were initially probed with PCR-amplified cDNA pools. Although DP2 probes also detected abundant transcripts that are highly differentially expressed, they failed to identify abundant transcripts with low differential expression that were detected with cDNA pools. The combined use of radiolabeled cDNA and DP2 products to probe arrays allows a more comprehensive identification of differentially expressed transcripts that are abundant or rare. Our method has the additional benefit of eliminating false-positive transcripts that lack true differential expression and frequently contaminate DP2 pools. Using this method we identified 16 differentially expressed genes in c-Myc transgenic liver, one of which is novel.

Original languageEnglish (US)
Pages (from-to)141-148
Number of pages8
JournalAnalytical biochemistry
Volume288
Issue number2
DOIs
StatePublished - Jan 15 2001

Keywords

  • Gene expression
  • RDA
  • Representational difference analysis
  • c-Myc

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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