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  • 标题:Hepatitis C Virus Antigenic Convergence
  • 本地全文:下载
  • 作者:David S. Campo ; Zoya Dimitrova ; Jonny Yokosawa
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2012
  • 卷号:2
  • 期号:1
  • DOI:10.1038/srep00267
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:

    Vaccine development against hepatitis C virus (HCV) is hindered by poor understanding of factors defining cross-immunoreactivity among heterogeneous epitopes. Using synthetic peptides and mouse immunization as a model, we conducted a quantitative analysis of cross-immunoreactivity among variants of the HCV hypervariable region 1 (HVR1). Analysis of 26,883 immunological reactions among pairs of peptides showed that the distribution of cross-immunoreactivity among HVR1 variants was skewed, with antibodies against a few variants reacting with all tested peptides. The HVR1 cross-immunoreactivity was accurately modeled based on amino acid sequence alone. The tested peptides were mapped in the HVR1 sequence space, which was visualized as a network of 11,319 sequences. The HVR1 variants with a greater network centrality showed a broader cross-immunoreactivity. The entire sequence space is explored by each HCV genotype and subtype. These findings indicate that HVR1 antigenic diversity is extensively convergent and effectively limited, suggesting significant implications for vaccine development.

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    © 2012 Macmillan Publishers Limited. All rights reserved

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