Suppr超能文献

猪体内猪源和甲型H1N1大流行性流感病毒株的结构蛋白与非结构蛋白中交叉反应性T细胞表位的鉴定

Identification of cross-reacting T-cell epitopes in structural and non-structural proteins of swine and pandemic H1N1 influenza A virus strains in pigs.

作者信息

Baratelli Massimiliano, Pedersen Lasse Eggers, Trebbien Ramona, Larsen Lars Erik, Jungersen Gregers, Blanco Esther, Nielsen Jens, Montoya Maria

机构信息

Centre de Recerca en Sanitat Animal (CReSA), UAB-IRTA, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain.

Technical University of Denmark, National Veterinary Institute (DTU VET), 1870 Frederiksberg C and 4771 Kalvehave, Denmark.

出版信息

J Gen Virol. 2017 May;98(5):895-899. doi: 10.1099/jgv.0.000748. Epub 2017 May 30.

Abstract

Heterologous protection against swine influenza viruses (SwIVs) of different lineages is an important concern for the pig industry. Cross-protection between 'avian-like' H1N1 and 2009 pandemic H1N1 lineages has been observed previously, indicating the involvement of cross-reacting T-cells. Here, reverse vaccinology was applied to identify cross-reacting MHC class I T-cell epitopes from two different SwIV H1 lineages in pigs. In silico prediction followed by in vitro and in vivo testing was used to identify SLA-10702 T-cell epitopes in heterologous SwIV-infected pigs. Following viral infection, tetramer specific T-cell populations were identified. The majority of the identified T-cell epitopes were conserved between the examined lineages, suggesting that targeting cross-reactive T-cell epitopes could be used to improve vaccines against SwIV in SLA-10702-positive pigs.

摘要

针对不同谱系的猪流感病毒(SwIVs)的异源保护是养猪业的一个重要关注点。先前已观察到“禽源样”H1N1和2009年大流行H1N1谱系之间的交叉保护,这表明存在交叉反应性T细胞。在此,应用反向疫苗学从猪的两种不同SwIV H1谱系中鉴定交叉反应性MHC I类T细胞表位。通过计算机预测,随后进行体外和体内测试,以鉴定异源SwIV感染猪中的SLA-10702 T细胞表位。病毒感染后,鉴定了四聚体特异性T细胞群体。在检测的谱系之间,大多数鉴定出的T细胞表位是保守的,这表明靶向交叉反应性T细胞表位可用于改进针对SLA-10702阳性猪的SwIV疫苗。

相似文献

引用本文的文献

本文引用的文献

10
Review: influenza virus in pigs.综述:猪流感病毒。
Mol Immunol. 2013 Oct;55(3-4):200-11. doi: 10.1016/j.molimm.2013.02.008. Epub 2013 Mar 21.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验