Eimeria tenella: Identification of secretory and surface proteins from expressed sequence tags

To identify new vaccine candidates, Eimeria tenella expressed sequence tags (ESTs) from public databases were analysed for secretory molecules with an especially developed automated in silico strategy termed DNAsignalP. A total of 12,187 ESTs were clustered into 2881 contigs followed by a blastx sea...

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Bibliographic Details
Published in:Experimental parasitology Vol. 111; no. 1; pp. 14 - 23
Main Authors: Klotz, Christian, Marhöfer, Richard J., Selzer, Paul M., Lucius, Richard, Pogonka, Thomas
Format: Journal Article
Language:English
Published: San Diego, CA Elsevier Inc 01-09-2005
Elsevier
Subjects:
EST
MIC
PAP
SRS
TSR
TTC
TTC
MIC
EST
CN
AN
ER
bp
TSR
SRS
PAP
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Summary:To identify new vaccine candidates, Eimeria tenella expressed sequence tags (ESTs) from public databases were analysed for secretory molecules with an especially developed automated in silico strategy termed DNAsignalP. A total of 12,187 ESTs were clustered into 2881 contigs followed by a blastx search, which resulted in a significant number of E. tenella contigs with homologies to entries in public databases. Amino acid sequences of appropriate homologous proteins were analysed for the occurrence of an N-terminal signal sequence using the algorithm signalP. The resulting list of 84 entries comprised 51 contigs whose deduced proteins showed homologies to proteins of apicomplexan parasites. Based on function or localisation, we selected candidate proteins classified as (i) secreted proteins of Apicomplexa parasites, (ii) secreted enzymes, and (iii) transport and signalling proteins. To verify our strategy experimentally, we used a functional complementation system in yeast. For five selected candidate proteins we found that these were indeed secreted. Our approach thus represents an efficient method to identify secretory and surface proteins out of EST databases.
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ISSN:0014-4894
1090-2449
DOI:10.1016/j.exppara.2005.04.005