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Related Experiment Videos

Cancer gene discovery using digital differential display.

D Scheurle1, M P DeYoung, D M Binninger

  • 1Department of Biology, Florida Atlantic University, Boca Raton 33431, USA.

Cancer Research
|August 17, 2000
PubMed
Summary
This summary is machine-generated.

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Digital Differential Display (DDD) identified thousands of differentially expressed genes, including novel sequences, in six solid tumors. This cancer gene discovery approach aids in identifying new targets for diagnostics and therapeutics.

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • The National Cancer Institute's Cancer Gene Anatomy Project database contains numerous expressed sequence tags (ESTs) from various cDNA libraries.
  • Expressed sequence tags (ESTs) are valuable for discovering novel cancer-related genes.

Purpose of the Study:

  • To utilize Digital Differential Display (DDD) for analyzing differential gene expression in six solid tumor types.
  • To identify known and novel differentially expressed genes for cancer diagnostics and therapeutics.

Main Methods:

  • Analysis of ESTs from breast, colon, lung, ovary, pancreas, and prostate tumor cDNA libraries using DDD.
  • Generation of electronic expression profiles and chromosomal mapping for identified genes using the Unigene database.
  • Validation of differential gene expression using reverse transcription-polymerase chain reaction (RT-PCR).

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Main Results:

  • Differential expression was observed in genes categorized as ribosomal proteins, enzymes, cell surface molecules, secretory proteins, adhesion molecules, and immunoglobulins.
  • DDD identified known up-regulated genes in prostate, breast, and pancreatic carcinomas.
  • The study discovered 200 known and 500 novel differentially expressed sequences in the analyzed tumor libraries.

Conclusions:

  • Digital Differential Display (DDD) is an effective technique for cancer gene discovery.
  • The identified differentially expressed genes provide potential targets for developing cancer diagnostics and therapeutics.
  • A comprehensive database of identified genes is available online to facilitate further research.