CDNA Fingerprinting of Breast Cancer Tumor Cells.

Abstract

Recently, several methods have been described that highlight genetic differences between samples. However, none are robust enough to be applied routinely to a large number of samples. The long term goal of this proposal is to develop and to apply such methods to breast cancer. One set of experiments uses genomic DNA as an alternative to clone libraries for gene hunts. This is important, because clone libraries are expensive and time consuming to make and maintain, and cloned DNA may not maintain the true genomic organization. These experiments have identified over 60 candidate genes in the qi 3 region of chromosome 20 amplified in breast cancer tumor cells. A second set of experiments is designed to search for genomic rearrangements relevant to breast cancer in a parallel and efficient manner. Other work focuses on using Matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) to monitor gene expression. Here, an indexing scheme (an index is a very shofl DNA sequence) is used to array and analyze pools of eDNA fragments. Each index is detected by MALDI-TOF MS which yields molecular masses with up to 1 Dalton accuracy and 1 part in 1000 resolution. Our goal is to bring the power of MS to cDNA analysis in breast cancer so that the quantum leap in efficiency it provides will allow the overall pattern of gene expression to be studied routinely as a new molecular monitor of cell physiology.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1996
Accession Number
ADA322794

Entities

People

  • Cassandra L. Smith

Organizations

  • Boston University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cells
  • Chromosomes
  • Diseases And Disorders
  • Gene Expression
  • Genetic Structures
  • Human Genome
  • Mass Spectrometry
  • Materials
  • Neoplasms
  • Nucleic Acids
  • Recombinant Dna
  • Sequences
  • Spectrometry

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Molecular Genetics
  • Research Science/Academic Research

Technology Areas

  • Biotechnology
  • Directed Energy
  • Quantum Computing