A Novel Yeast Genomics Method for Identifying New Breast Cancer Susceptibility

Abstract

We are attempting to identify novel genes in the yeast & cerevisiae that confer gross chromosomal instability (GCI) a hallmark of most breast cancers when deleted. Using a yeast strains carrying the deletion of a unique open reading frame, we will transfect a yeast artificial chromosome (YAC) as a reporter for GCI frequency and determine the quantitative impact of the loss of each gene function. We have constructed the reporter with all of the components for selection and maintenance. The URA3 reporter functioned correctly during pool growth but the HSV-TK reporter did not. The human BAX genes has been shown to properly function causing cell death in individual and pooled deletion strains. We are modifying the original YAC to incorporate the BAX construct which is superior to the original design. We will use the new YAC on the pool of yeast strains to identify genes affecting (GCI and determine the mammalian orthologs of these genes as well as those of interacting partners using in silico methods. There is a crucial need to find new candidate genes for breast cancer susceptibility in women and identifying these genes can further improve monitoring and treatment guidelines for women with these mutations. We are attempting to identify novel genes in the yeast & cerevisiae that confer gross chromosomal instability (GCI) a hallmark of most breast cancers when deleted. Using a yeast strains carrying the deletion of a unique open reading frame, we will transfect a yeast artificial chromosome (YAC) as a reporter for GCI frequency and determine the quantitative impact of the loss of each gene function. We have constructed the reporter with all of the components for selection and maintenance. The URA3 reporter functioned correctly during pool growth but the HSV-TK reporter did not. The human BAX genes has been shown to properly function causing cell death in individual and pooled deletion strains.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA435292

Entities

People

  • James A. Brown
  • Martin Brown

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Cancer
  • Cell Physiological Processes
  • Cells
  • Chromosomes
  • Frequency
  • Fungi
  • Genetic Code
  • Genetic Phenomena
  • Genetic Structures
  • Genetics
  • Genomic Instability
  • Genomics
  • Instability
  • Metabolic Diseases
  • Mutations
  • Neoplasms

Fields of Study

  • Biology
  • Engineering

Readers

  • Molecular Biology and Genetics
  • Molecular and genetic basis of cancer.