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Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins.
Karsani, Saiful Anuar; Saihen, Nor Afiza; Zain, Rosnah Binti; Cheong, Sok-Ching; Abdul Rahman, Mariati.
Afiliação
  • Karsani SA; Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia. saiful72@um.edu.my.
Proteome Sci ; 12(1): 3, 2014 Jan 15.
Article em En | MEDLINE | ID: mdl-24422745
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.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article