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Analyzing and identifying novel B cell epitopes within Toxoplasma gondii GRA4

Overview of attention for article published in Parasites & Vectors, October 2014
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Title
Analyzing and identifying novel B cell epitopes within Toxoplasma gondii GRA4
Published in
Parasites & Vectors, October 2014
DOI 10.1186/s13071-014-0474-x
Pubmed ID
Authors

Yanhua Wang, Guangxiang Wang, Jiangtao Ou, Hong Yin, Delin Zhang

Abstract

BackgroundThe identification of specific epitopes targeted by the host antibody response is important for understanding the natural response to infection and for the development of epitope-based marker vaccines and diagnostic tools for toxoplasmosis. In this study, Toxoplasma gondii GRA4 epitopes were identified using software-based prediction and a synthetic peptide technique.MethodsThe complete GRA4 gene sequence was obtained from T. gondii of the Gansu Jingtai strain of tachyzoites. The potential B cell epitopes of GRA4 was predicted using the PROTEAN subroutine in the DNASTAR software package. The peptides with good hydrophilicity, high accessibility, high flexibility and strong antigenicity were chemically synthesized and assessed by ELISA using pig sera from different time points after infection.ResultsThe potential B cell epitopes of GRA4 predicted by bioinformatics tools focused on six regions of GRA4, 52¿77 aa, 93¿112 aa, 127¿157 aa, 178¿201 aa, 223¿252 aa and 314¿333 aa. Eleven shorter peptides from the six regions were synthesized and assessed by ELISA using pig sera from different time points after infection. Three of the eleven peptides (amino acids 62¿77, 233¿252 and 314¿333) tested were recognized by all sera.ConclusionsWe precisely located the T. gondii GRA4 epitopes using pig sera collected at different time points after infection. The identified epitopes may be useful for additional studies of epitope-based vaccines and diagnostic reagents.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 37%
Student > Bachelor 4 13%
Researcher 3 10%
Professor 2 7%
Student > Master 2 7%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 33%
Veterinary Science and Veterinary Medicine 4 13%
Biochemistry, Genetics and Molecular Biology 3 10%
Immunology and Microbiology 3 10%
Medicine and Dentistry 3 10%
Other 1 3%
Unknown 6 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Parasites & Vectors
#4,222
of 5,460 outputs
Outputs of similar age
#182,666
of 255,639 outputs
Outputs of similar age from Parasites & Vectors
#50
of 75 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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