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Utilization of phage display to identify antigenic regions in the PCV2 capsid protein for the evaluation of serological responses in mice and pigs

Overview of attention for article published in Archives of Virology, March 2018
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Title
Utilization of phage display to identify antigenic regions in the PCV2 capsid protein for the evaluation of serological responses in mice and pigs
Published in
Archives of Virology, March 2018
DOI 10.1007/s00705-018-3816-8
Pubmed ID
Authors

Marcus Rebouças Santos, Viviane Sisdelli Assao, Fabiana de Almeida Araújo Santos, Rafael Locatelli Salgado, Ana Paula Carneiro, Juliana Lopes Rangel Fietto, Gustavo Costa Bressan, Márcia Rogéria de Almeida, Zelia Inês Portela Lobato, Carlos Ueira-Veira, Luíz Ricardo Goulart, Abelardo Silva-Júnior

Abstract

Porcine circovirus 2 (PCV2) is associated with a series of swine diseases. There is a great interest in improving our understanding of the immunology of PCV2, especially the properties of the viral capsid protein Cap-PCV2 and how they relate to the immunogenicity of the virus and the subsequent development of vaccines. Phage display screening has been widely used to study binding affinities for target proteins. The aim of this study was to use phage display screening to identify antigenic peptides in the PCV2 capsid protein. After the selection of peptides, five of them presented similarity to sequences found in cap-PCV2, and four peptides were synthesized and used for immunization in mice: 51-CTFGYTIKRTVT-62 (PS14), 127-CDNFVTKATALTY-138 (PS34), 164-CKPVLDSTIDY-173 (PC12), and 79-CFLPPGGGSNT-88 (PF1). Inoculation with the PC12 peptide led to the highest production of antibodies. Furthermore, we used the PC12 peptide as an antigen to examine the humoral response of swine serum by ELISA. The sensitivity and specificity of this assay was 88.9% and 92.85%, respectively. Altogether, characterization of immunogenic epitopes in the capsid protein of PCV2 may contribute to the improvement of vaccines and diagnostics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Other 2 9%
Student > Postgraduate 2 9%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Other 3 13%
Unknown 8 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Veterinary Science and Veterinary Medicine 5 22%
Immunology and Microbiology 2 9%
Agricultural and Biological Sciences 1 4%
Unknown 9 39%