Literature DB >> 16101316

A review of proteomics in cancer research.

Prabhudas S Patel1, Shaila D Telang, Rakesh M Rawal, Manisha H Shah.   

Abstract

The most functional compartment encoded by the genome is proteome. Therefore study of proteome i.e. proteomics is the promising approach in identification, separation and quantitation of functional changes. It aims to gain a comprehensive understanding of the expressions, modifications, interactions, and regulation of proteins in cells. The power of two-dimensional electrophoresis and advances in mass spectrometric techniques, combined with sequence data base correlation, has enabled speed and accuracy in identification of proteins in complex mixtures. Therefore, proteomics may provide a better understanding of the molecular basis of cancer growth, with identification of potential pathological markers and therapeutic targets. Tobacco related cancers are the major health hazard in Asian countries; the proteomics approach should be employed for understanding the underlying disease processes and hopefully reveal important clues for identifying high risk individuals and early changes during malignant transformation.

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Year:  2005        PMID: 16101316

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  3 in total

Review 1.  Endobiogeny: a global approach to systems biology (part 1 of 2).

Authors:  Jean-Claude Lapraz; Kamyar M Hedayat
Journal:  Glob Adv Health Med       Date:  2013-01

2.  Proteomics approaches for identification of tumor relevant protein targets in pulmonary squamous cell carcinoma by 2D-DIGE-MS.

Authors:  Hao Lihong; Gong Linlin; Guo Yiping; Song Yang; Qi Xiaoyu; Guan Zhuzhu; Yang Xiaohan; Zhou Xin; Xue Liyan; Shao Shujuan
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

3.  Fungal Elicitor MoHrip2 Induces Disease Resistance in Rice Leaves, Triggering Stress-Related Pathways.

Authors:  Najeeb Ullah Khan; Mengjie Liu; Xiufen Yang; Dewen Qiu
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

  3 in total

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