Details:

Alternative Title:
Sci Rep
Personal Author:
Campo, David S. ; Dimitrova, Zoya ; Yokosawa, Jonny ; Hoang, Duc ; Perez, Nestor O. ; ... More +
Campo, David S. ; Dimitrova, Zoya ; Yokosawa, Jonny ; Hoang, Duc ; Perez, Nestor O. ; Ramachandran, Sumathi ; Khudyakov, Yury Less -
Description:
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.
Subject:
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Animals
Article
Cross Reactions
Epitopes
Hepacivirus
Hepatitis C Antigens
Immunoenzyme Techniques
Mice

Source:
Sci Rep. 2012; 2.
Pubmed ID:
22355779
Pubmed Central ID:
PMC3279735
Document Type:
Journal Article
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:102cacfee60de123a53d07fbb76de388578d4569cd74ee71e1e6b4a2ae8a2d34
File Type:

Supporting Files

• 	srep00267-s1.pdf	pdf
  	srep00267.nxml	xml
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