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The use of proteomics to identify novel therapeutic targets for the treatment of disease

Moseley, F.L., Bicknell, K.A., Marber, M.S. and Brooks, G. (2007) The use of proteomics to identify novel therapeutic targets for the treatment of disease. Journal of Pharmacy and Pharmacology, 59 (5). pp. 609-628. ISSN 0022-3573

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To link to this article DOI: 10.1211/jpp.59.5.0001

Abstract/Summary

The completion of the Human Genome Project has revealed a multitude of potential avenues for the identification of therapeutic targets. Extensive sequence information enables the identification of novel genes but does not facilitate a thorough understanding of how changes in gene expression control the molecular mechanisms underlying the development and regulation of a cell or the progression of disease. Proteomics encompasses the study of proteins expressed by a population of cells, and evaluates changes in protein expression, post-translational modifications, protein interactions, protein structure and splice variants, all of which are imperative for a complete understanding of protein function within the cell. From the outset, proteomics has been used to compare the protein profiles of cells in healthy and diseased states and as such can be used to identify proteins associated with disease development and progression. These candidate proteins might provide novel targets for new therapeutic agents or aid the development of assays for disease biomarkers. This review provides an overview of the current proteomic techniques available and focuses on their application in the search for novel therapeutic targets for the treatment of disease.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Biomedical Sciences
Faculty of Life Sciences > School of Chemistry, Food and Pharmacy > School of Pharmacy
Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR)
ID Code:13682
Uncontrolled Keywords:2-DIMENSIONAL GEL-ELECTROPHORESIS, PROTEIN-PROTEIN INTERACTIONS, HUMAN, SERUM PROTEOME, DESORPTION/IONIZATION-MASS-SPECTROMETRY, IMMOBILIZED PH, GRADIENTS, CODED AFFINITY TAGS, PROSTATE-CANCER, STRUCTURAL PROTEOMICS, MYCOBACTERIUM-TUBERCULOSIS, POLYPEPTIDE EXPRESSION

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