ArticleArchives of virology2021
Establishment of an indirect ELISA-based method involving the use of a multiepitope recombinant S protein to detect antibodies against canine coronavirus.
Article in Archives of virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Development and Validation of an In-House Indirect ELISA for Serological Detection ofVeterinary medicine international · 2026Article
- Development of an ELISA Using Recombinant Chimeric SM Protein for Serological Detection of SARS-CoV-2 Antibodies.Methods and protocols · 2025Article
- Recombinant multiepitope proteins expressed in Escherichia coli cells and their potential for immunodiagnosis.Microbial cell factories · 2024Review
- Development of a time-resolved fluorescence immunoassay kit for detecting canine coronavirus and parvovirus through double labeling.Virology journal · 2024Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Here, we report the development of an indirect enzyme-linked immunosorbent assay (ELISA) method that involves using multiepitope recombinant S protein (rSP) as the coating antigen to detect antibodies against canine coronavirus (CCoV). rSP was designed by arranging its four S fragments (91-135 aa, S1 gene; 377-434 aa, S2 gene; 647-671 aa, S3 gene; 951-971 aa, S4 gene; 207-227 aa) and two T-cell epitopes in tandem: T-E1-E2-E3-E4-T. This multiepitope antigen, which has a molecular weight of approximately 25 kDa and contains a His-tag, was recognized by a CCoV-positive serum in a Western blot assay. The optimal concentration of rSP as a coating antigen in the ELISA was 2 μg/mL, and the optimal dilution of enzyme-labeled secondary antibody was 1:10,000. The cutoff OD
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.