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Strategies to dissect parasite proteomes

Published online by Cambridge University Press:  20 February 2012

KARL BURGESS  and
RICHARD BURCHMORE
KARL BURGESS
Affiliation:
Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, G12 8QQ, UK
RICHARD BURCHMORE*
Affiliation:
Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, G12 8QQ, UK
*
*Corresponding author: Richard Burchmore, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, Joseph Black Building, room B2-25, University of Glasgow, Glasgow G12 8QQ, UK. Tel: (+44) 141 330 8612. E-mail: [email protected]
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Summary

Proteomes are complex and dynamic entities that are still poorly understood, but the application of proteomic technologies has become invaluable in many areas of biology, including parasitology. These technologies can be exploited to identify proteins in both complex or relatively simple samples, that formerly could only be characterized by targeted approaches such as Western blotting. Quantitative proteomic approaches can reveal modulations in protein expression that accompany phenotypes of interest. Proteomic approaches have been exploited to understand some of the molecular basis for host:parasite interactions and to elucidate phenotypes such as virulence, antigenicity and drug resistance. Many of the same technologies can also be more easily applied to targeted sub-proteomes.

Examples from several studies on pathogen proteomes and sub-proteomes, from bacteria to helminths, are presented to illustrate the potential and limitations of proteomic technologies.

Keywords

Proteomicsmass spectrometryphenotypic analysis
Type
Research Article
Information
Parasitology , Volume 139 , Issue 9: Symposia of the British Society for Parasitology Volume 48 Proteomic insights into parasite biology , August 2012 , pp. 1119 - 1130
Copyright
Copyright © Cambridge University Press 2012

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