Papers

Peer-reviewed
Jul, 2013

Epitope Mapping of the Nucleocapsid Protein of Sendai Virus and Application of Antigenic Epitopes for the ELISA-Based Diagnosis of Sendai Virus Infection

JOURNAL OF VETERINARY MEDICAL SCIENCE
  • Atsushi Asano
  • ,
  • Daisuke Torigoe
  • ,
  • Nobuya Sasaki
  • ,
  • Takashi Agui

Volume
75
Number
7
First page
909
Last page
916
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1292/jvms.12-0496
Publisher
JAPAN SOC VET SCI

Sendai virus (SeV) is one of the most prevalent viral pathogens infecting laboratory mice and rats. To date, mature SeV virions have been used as antigens for serological diagnosis. To develop antigens that are more specific and easier to prepare for diagnosis, we examined the antigenic sites in the nucleocapsid protein (NP) of SeV with antisera from experimentally SeV-infected mice and a peptide array membrane containing overlapping 10-mer peptides covering the entire NP. We found antigenic linear sequences in two regions, amino acids 120-160 and 420-500, of the SeV-NP. From these antigenic sequences, we applied two synthesized peptides, IVKTRDMEYERTTEWL and FVTLHGAERLEEETNDE, which correspond to positions 119-134 and 458-474 of the SeV-NP, respectively, as antigens in an enzyme-linked immunosorbent assay (ELISA). Evaluation of the ELISAs using these peptides revealed that they were specific to anti-SeV antisera. Furthermore, the ELISAs using these peptides were able to distinguish between SeV-positive and SeV-negative mouse sera to the same extent as a commercial ELISA kit. These results indicate that these peptides are useful for the serological diagnosis of SeV infection.

Link information
DOI
https://doi.org/10.1292/jvms.12-0496
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/23446107
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000330268400009&DestApp=WOS_CPL
ID information
  • DOI : 10.1292/jvms.12-0496
  • ISSN : 0916-7250
  • eISSN : 1347-7439
  • Pubmed ID : 23446107
  • Web of Science ID : WOS:000330268400009

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