Journal
VIROLOGY
Volume 378, Issue 1, Pages 105-117Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.virol.2008.04.043
Keywords
epitope; yellow fever virus; immunome; ELISPOT; binding assay; prediction software
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Funding
- NIAID NIH HHS [N01 AI040085] Funding Source: Medline
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Immunomics research uses in silico epitope prediction, its well as in vivo and in vitro approaches. We inoculated BALB/c(H2(d)) mice with 17DD yellow fever vaccine to investigate the correlations between approaches used for epitope discovery: ELISPOT assays, binding assays, and prediction software. Our results showed a good agreement between ELISPOT and binding assays, which seemed to correlate with the protein immunogenicity. PREDBALB/c prediction software partially agreed with the ELISPOT and binding assay results, but presented low specificity. The use of prediction software to exclude peptides containing no epitopes, followed by high throughput screening of the remaining peptides by ELISPOT, and the use of MHC-biding assays to characterize the MHC restrictions demonstrated to be an efficient strategy. The results allowed the characterization of 2 MHC class I and 17 class II epitopes in the envelope protein of the YF virus in BALB/c (H2(d)) mice. (c) 2008 Elsevier Inc. All rights reserved.
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