title: Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins.
abstract: BACKGROUND
  A limiting factor in performing proteomics analysis on cancerous cells is the difficulty in obtaining sufficient amounts of starting material. Cell lines can be used as a simplified model system for studying changes that accompany tumorigenesis. This study used two-dimensional gel electrophoresis (2DE) to compare the whole cell proteome of oral cancer cell lines vs normal cells in an attempt to identify cancer associated proteins.
  
  
  RESULTS
  Three primary cell cultures of normal cells with a limited lifespan without hTERT immortalization have been successfully established. 2DE was used to compare the whole cell proteome of these cells with that of three oral cancer cell lines. Twenty four protein spots were found to have changed in abundance. MALDI TOF/TOF was then used to determine the identity of these proteins. Identified proteins were classified into seven functional categories - structural proteins, enzymes, regulatory proteins, chaperones and others. IPA core analysis predicted that 18 proteins were related to cancer with involvements in hyperplasia, metastasis, invasion, growth and tumorigenesis. The mRNA expressions of two proteins - 14-3-3 protein sigma and Stress-induced-phosphoprotein 1 - were found to correlate with the corresponding proteins' abundance.
  
  
  CONCLUSIONS
  The outcome of this analysis demonstrated that a comparative study of whole cell proteome of cancer versus normal cell lines can be used to identify cancer associated proteins.
authors.affiliation: Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia. saiful72@um.edu.my.
authors.forename: Saiful Anuar
authors.initials: SA
authors.lastname: Karsani
authors.forename: Nor Afiza
authors.initials: NA
authors.lastname: Saihen
authors.forename: Rosnah Binti
authors.initials: RB
authors.lastname: Zain
authors.forename: Sok-Ching
authors.initials: SC
authors.lastname: Cheong
authors.forename: Mariati
authors.initials: M
authors.lastname: Abdul Rahman