| Literature DB >> 29992375 |
Shuhua Fan1,2, Yongli Wang3, Xian Wang3, Li Huang3,4, Yunxia Zhang3,4, Xiaomeng Liu3,4, Wenshuai Zhu3,4.
Abstract
In vitro refolding assays can be used to investigate the affinity and stability of the binding of epitope peptides to major histocompatibility complex (MHC) class I molecules, which are key factors in the presentation of peptides to cytotoxic T lymphocytes (CTLs). The recognition of peptide epitopes by CTLs is crucial for protection against influenza A virus (IAV) infection. The peptide-binding motif of the swine SLA-3*hs0202 molecule has been previously reported and partly overlaps with the binding motif of the most abundant human MHC allele, HLA-A*0201. In this study, we screened all the protein sequences of the swine-origin epidemic IAV strain A/Beijing/01/2009 (H1N1), and a total of 73 9-mer epitope peptides were predicted to fit the consensus motif of the swine SLA-3*hs0202 or HLA-A*0201 molecule. Then, 14 peptides were selected, and their affinities to SLA-3*hs0202 were tested by a modified in vitro refolding assay. Our results show that ten epitopes could tolerate gel filtration, indicating that these epitopes formed stable or partly stable complexes with SLA-3*hs0202. Eight out of the ten epitopes have been previously reported as HLA-A2-restricted epitopes, which implied cross-reactivity between swine and human MHC I specificities. Furthermore, the modified mini-system refolding method could be applied for the screening of peptides because the refolding efficiency remained almost unchanged with the positive peptide (HA-KMN9) subjected to size-exclusion chromatography and Resource Q anion-exchange chromatography. The results presented here provide new insight into the development of epitope-based vaccines to control IAV and increase our understanding of swine molecular immunology.Entities:
Keywords: CTL immunity; Influenza A virus; MHC I; Peptide epitope
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Year: 2018 PMID: 29992375 DOI: 10.1007/s00251-018-1070-6
Source DB: PubMed Journal: Immunogenetics ISSN: 0093-7711 Impact factor: 2.846