These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Towards a reference map of Eimeria tenella sporozoite proteins by two-dimensional electrophoresis and mass spectrometry.
    Author: de Venevelles P, Chich JF, Faigle W, Loew D, Labbé M, Girard-Misguich F, Péry P.
    Journal: Int J Parasitol; 2004 Nov; 34(12):1321-31. PubMed ID: 15542092.
    Abstract:
    Eimeria tenella is a parasite of great importance as a disease causing agent in the poultry industry. Until recently, biological studies have focused on specific proteins, some of which play an important role in the parasite life cycle. Post-genomic studies will make it possible to understand the complexity of the parasites and their interactions with host cells. Here we present a systematic reference map of the proteins from E. tenella sporozoites. The proteins expressed at the sporozoite stage were resolved between isoelectric points 3-10 and 4-7. They were systematically identified using mass spectrometry and 16 known Eimeria sporozoite proteins were identified on two-dimensional maps. Peptide fragmentation data from mass spectrometry were compared to single and consensus expression sequence tags in databases and to the E. tenella genome (not annotated). Among the set of unknown proteins analysed, 12 new assignments were proposed on the basis of similarities with Apicomplexa proteins. In order to define sporozoite proteins as potential targets for coccidiosis therapy, proteins were studied according to their relative abundance and immunogenicity in the sporozoite. Immunoblots of sporozoite 2D maps with chicken sera were performed and approximately 50 proteins were defined as antigens. It was shown that abundance and immunogenicity are not related in the sporozoite stage. Perspectives of gene prediction and completion of the genome annotation by a proteomic approach is discussed.
    [Abstract] [Full Text] [Related] [New Search]