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New proteomic approaches for biomarker discovery: The search for novel liver fibrosis markers in hepatitis C patients

Alternative title:
Conference abstract from 5th International Conference on Biomarkers and Clinical Research
Abstract:
Two-dimensional gel electrophoresis (2-DE) is often used to separate plasma or serum proteins in an attempt to identify novel disease biomarkers. A major problem with this approach is the presence of high abundant plasma/serum proteins which limit the detection of low abundance features. We used two proteomic approaches to identify new fibrosis biomarkers in patients with different stages of liver fibrosis. Plasma samples from healthy individuals and patients with hepatitis C virus (HCV) induced cirrhosis were analysed using 2-DE over a narrow pH 3-5.6 range, arrange outside the pH of highly abundant albumin, transferrin and immunoglobulins. Several novel markers were identified by this approach and were validated across all fibrosis stages by Western blotting. This is the first time the pH 3-5.6 range has been used to separate plasma by 2-DE and was found to be beneficial for biomarker discovery. In addition, we used in-solution isoelectric focusing followed by SDS- PAGE to find biomarkers in HCV-induced liver cirrhosis. This approach was found to be beneficial for identifying basic, high molecular weight protein biomarkers. These approaches have successfully helped to identify novel biomarkers for hepatic fibrosis and these approaches are also useful for discovering novel biomarkers in other diseases.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.4172/2155-9929.S1.021

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Biochemistry
Role:
Author


Publisher:
OMICS International
Journal:
Journal of Molecular Biomarkers and Diagnosis More from this journal
Volume:
5
Issue:
2
Pages:
84-84
Publication date:
2014-04-15
DOI:
ISSN:
2155-9929


Pubs id:
pubs:598999
UUID:
uuid:8fbd61dc-3ae9-4db8-9f59-1fcf40c8d663
Local pid:
pubs:598999
Source identifiers:
598999
Deposit date:
2016-02-04
ARK identifier:

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