J Vet Sci.  2009 Sep;10(3):203-210. 10.4142/jvs.2009.10.3.203.

Charting the proteome of Cryptosporidium parvum sporozoites using sequence similarity-based BLAST searching

Affiliations
  • 1Department of Preclinical Veterinary Sciences, Faculty of Veterinary Science, University of Liverpool, Crown Street, Liverpool, L69 7ZJ, UK.

Abstract

Cryptosporidium (C.) spp. are important zoonotic parasites causing widespread diarrhoeal disease in man and animals. The recent release of the complete genome sequences for C. parvum and C. hominis has facilitated the comprehensive global proteome analysis of these opportunistic pathogens. The well-known approach for mass spectrometry (MS) based data analysis using the BLAST tool (MS BLAST) is a database search protocol for identifying unknown proteins by sequence similarity to homologous proteins using peptide sequences produced by mass spectrometry. We have used several complementary approaches to explore the global sporozoite proteome of C. parvum with available proteomic tools. To optimize the output of the MS data, a sequence similarity-based MS BLAST strategy was employed for bioinformatic analysis. Most significantly, almost all the constituents of glycolysis and several mitochondrion-related proteins were identified. In addition, many hypothetical Cryptosporidium proteins were validated by the identification of their constituent peptides. The MS BLAST approach was found to be useful during the study and could provide valuable information towards a complete understanding of the unique biology of Cryptosporidium.

Keyword

Cryptosporidium; LC-MS/MS; MS BLAST; proteomics; sporozoites

MeSH Terms

Chromatography, Liquid
Cryptosporidium parvum/genetics/*metabolism
Electrophoresis, Polyacrylamide Gel
*Proteome
Proteomics/*methods
Protozoan Proteins/isolation & purification/*metabolism
Sporozoites/*metabolism
Tandem Mass Spectrometry
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