Article ; Online: High-throughput isolation of SARS-CoV-2 nucleocapsid antibodies for improved antigen detection.
Biochemical and biophysical research communications
2023 Volume 673, Page(s) 114–120
Abstract: SARS-CoV-2 nucleocapsid protein (NP) is the main target for COVID-19-diagnostic PCR and antigen rapid diagnostic tests (Ag-RDTs). Ag-RDTs are more convenient than PCR tests for point-of-care testing or self-testing to identify the SARS-CoV-2 antigen. The ...
Abstract | SARS-CoV-2 nucleocapsid protein (NP) is the main target for COVID-19-diagnostic PCR and antigen rapid diagnostic tests (Ag-RDTs). Ag-RDTs are more convenient than PCR tests for point-of-care testing or self-testing to identify the SARS-CoV-2 antigen. The sensitivity and specificity of this method depends mainly on the affinity and specificity of NP-binding antibodies; therefore, antigen-antibody binding is key elements for the Ag-RDTs. Here, we applied the high-throughput antibody isolation platform that has been utilized to isolate therapeutic antibodies against rare epitopes. Two NP antibodies were identified to recognize non-overlapping epitopes with high affinity. One antibody specifically binds to SARS-CoV-2 NP, and the other rapidly and tightly binds to SARS-CoV-2 NP with cross-reactivity to SARS-CoV NP. Furthermore, these antibodies were compatible with a sandwich enzyme-linked immunosorbent assay that exhibited enhanced sensitivity for NP detection compared to the previously isolated NP antibodies. Thus, the NP antibody pair is applicable to more sensitive and specific Ag-RDTs, highlighting the utility of a high-throughput antibody isolation platform for diagnostics development. |
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MeSH term(s) | Humans ; SARS-CoV-2 ; COVID-19/diagnosis ; Nucleocapsid ; Antibodies, Viral ; Epitopes ; Sensitivity and Specificity |
Chemical Substances | Antibodies, Viral ; Epitopes |
Language | English |
Publishing date | 2023-06-19 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 205723-2 |
ISSN | 1090-2104 ; 0006-291X ; 0006-291X |
ISSN (online) | 1090-2104 ; 0006-291X |
ISSN | 0006-291X |
DOI | 10.1016/j.bbrc.2023.06.067 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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