Training in Support of Research Project Entitled "Tumor Cell De-adhesion by Aberrant, Single Skubmit Integrins".

Abstract

My purpose is try to identify a plasma membrane protein fingerprint which can be used to distinguish invasive breast cancer cell lines from non-invasive breast cancer lines. The methods included those for purification of plasma membrane proteins , extraction of proteins using urea/thiourea mixture, a standard procedure for 2D PAGE, excision of polypeptide "spots" from gels, trypsin digestion, MALDI TOF mass spectrometry and database searching for protein identity are well-established for this project. Three breast cancer cell lines (MDA-MB435, MDA-MB23 1 and MCF7) with different metastatic potential have been grown and 2-D maps of plasma membrane proteins have been generated in the laboratory. Computer- assisted analysis of the 2D polypeptide pattern showed that 56% of the polypeptide spots were the same between MCF7 and MDA-MB23 1 (two non-metastatic Breast Cancer cell lines), only 42% of the polypeptide spots were the same between MCF7 and MDA-MB435 (metastatic vs non-metastatic Breast Cancer cell lines). This differential expression of proteins is being characterized in order to determine which proteins are important to the metastatic condition. A number of proteins from the 2D gels has been identified by MALDI TOF mass spectrometry. Recently, antibody library phage display, has been expanded for further identifying the plasma membrane proteins.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA379615

Entities

People

  • Yan Zhang

Organizations

  • Sanford Burnham Prebys Medical Discovery Institute

Tags

DTIC Thesaurus Topics

  • Antibodies
  • Breast Cancer
  • Cell Line
  • Cell Membrane
  • Cells
  • Cellular Structures
  • Genetic Structures
  • Immune Serums
  • Mass Spectrometry
  • Materials
  • Membrane Proteins
  • Membranes
  • Neoplasms
  • Proteins
  • Spectrometry
  • Standards
  • Two Dimensional

Fields of Study

  • Biology
  • Chemistry

Readers

  • Molecular Genetics
  • Molecular and Cellular Biochemistry
  • Oncology and Biomarker-Based Cancer Detection.