Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins

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 electr...

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Main Authors: Karsani, S.A., Saihen, N.A., Zain, R.B., Cheong, S.C., Rahman, M.A.
Format: Article
Language:en
Published: BMC 2014
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Online Access:http://eprints.um.edu.my/9864/1/1477-5956-12-3.pdf
http://eprints.um.edu.my/9864/
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author Karsani, S.A.
Saihen, N.A.
Zain, R.B.
Cheong, S.C.
Rahman, M.A.
author_facet Karsani, S.A.
Saihen, N.A.
Zain, R.B.
Cheong, S.C.
Rahman, M.A.
author_sort Karsani, S.A.
building UM Library
collection Institutional Repository
content_provider Universiti Malaya
content_source UM Research Repository
continent Asia
country Malaysia
description 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.
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spelling my.um.eprints-98642019-02-14T09:22:23Z http://eprints.um.edu.my/9864/ Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins Karsani, S.A. Saihen, N.A. Zain, R.B. Cheong, S.C. Rahman, M.A. RK Dentistry 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. BMC 2014 Article PeerReviewed application/pdf en http://eprints.um.edu.my/9864/1/1477-5956-12-3.pdf Karsani, S.A. and Saihen, N.A. and Zain, R.B. and Cheong, S.C. and Rahman, M.A. (2014) Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins. Proteome Science, 12. ISSN 1477-5956, DOI https://doi.org/10.1186/1477-5956-12-3 <https://doi.org/10.1186/1477-5956-12-3>. 10.1186/1477-5956-12-3
spellingShingle RK Dentistry
Karsani, S.A.
Saihen, N.A.
Zain, R.B.
Cheong, S.C.
Rahman, M.A.
Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins
title Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins
title_full Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins
title_fullStr Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins
title_full_unstemmed Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins
title_short Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins
title_sort comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins
topic RK Dentistry
url http://eprints.um.edu.my/9864/1/1477-5956-12-3.pdf
http://eprints.um.edu.my/9864/
url_provider http://eprints.um.edu.my/