Mapping Mammary Carcinoma Suppressor Genes in the Laboratory Rat.

Abstract

Inbred strains of rats differ in their susceptibility to both spontaneous and chemically-induced mammary carcinoma formation. Classical genetic breeding studies combined with modern molecular biology techniques can be utilized to identify the gene or genes responsible for these inherited differences. We are currently using such techniques to try to identify the gene(s) responsible for the mammary carcinoma resistance trait in inbred Copenhagen (COP) and Wistar Kyoto (WKy) rats. Previous data identified a marker on rat chromosome 2 which is linked to the resistance phenotype. However further markers must be obtained to map the region adequately before chromosome walking can begin and attempts made to isolate the gene. To this end we are applying several techniques. First, new simple sequence repeat markers are being used to further map the rat genome and look for other regions involved in the resistance phenotype. This approach has yielded a region on rat chromosome 7 which initially appears linked to the resistance phenotype. However closer markers must be identified to confirm this linkage. Two other techniques are being employed to further our progress towards mapping of this phenotype. Microdissected and chromosome-sorted libraries for rat chromosome 2 are being generated and screened for simple sequence repeat markers in an attempt to better characterize the region on chromosome 2. Also, a new technique called genetically driven representational difference analysis (GDRDA) is being employed to isolate new markers throughout the genome which are linked to the phenotype.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1995
Accession Number
ADA298730

Entities

People

  • Michael Gould
  • V. A. Ford

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Animals
  • Biological Sciences
  • Breast Cancer
  • Cells
  • Computer Programs
  • Fish
  • Genes
  • Genetics
  • Genome
  • Genomics
  • Health Services
  • Materials
  • Molecular Dynamics
  • Neoplasms
  • Phosphodiesterases
  • Recombinant Dna

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology