國家衛生研究院 NHRI:Item 3990099045/7703
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/7703


    Title: Identification of cytotoxic T lymphocyte epitopes on swine viruses: Multi-epitope design for universal T cell vaccine
    Authors: Liao, YC;Lin, HH;Lin, CH;Chung, WB
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: Classical swine fever (CSF), foot-and-mouth disease (FMD) and porcine reproductive and respiratory syndrome (PRRS) are the primary diseases affecting the pig industry globally. Vaccine induced CD8(+) T cell-mediated immune response might be long-lived and cross-serotype and thus deserve further attention. Although large panels of synthetic overlapping peptides spanning the entire length of the polyproteins of a virus facilitate the detection of cytotoxic T lymphocyte (CTL) epitopes, it is an exceedingly costly and cumbersome approach. Alternatively, computational predictions have been proven to be of satisfactory accuracy and are easily performed. Such a method enables the systematic identification of genome-wide CTL epitopes by incorporating epitope prediction tools in analyzing large numbers of viral sequences. In this study, we have implemented an integrated bioinformatics pipeline for the identification of CTL epitopes of swine viruses including the CSF virus (CSFV), FMD virus (FMDV) and PRRS virus (PRRSV) and assembled these epitopes on a web resource to facilitate vaccine design. Identification of epitopes for cross protections to different subtypes of virus are also reported in this study and may be useful for the development of a universal vaccine against such viral infections among the swine population. The CTL epitopes identified in this study have been evaluated in silico and possibly provide more and wider protection in compared to traditional single-reference vaccine design.
    Date: 2013-12-17
    Relation: PLoS ONE. 2013 Dec 17;8(12):Article number e84443.
    Link to: http://dx.doi.org/10.1371/journal.pone.0084443
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1932-6203&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000328737700096
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84892937198
    Appears in Collections:[Yu-Chieh Liao] Periodical Articles

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