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A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies
The Coronavirus disease 2019 (COVID-19) pandemic brings great challenges to the public health and social economics around the world. As the pandemic continues and the mass vaccination goes on, monitoring the antibodies is particularly important for the epidemiological survey and vaccine assessment....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672313/ https://www.ncbi.nlm.nih.gov/pubmed/36464447 http://dx.doi.org/10.1016/j.aca.2022.340633 |
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author | Zhou, Wenhao He, Ping Liu, Huan Wei, Hongping Yu, Junping |
author_facet | Zhou, Wenhao He, Ping Liu, Huan Wei, Hongping Yu, Junping |
author_sort | Zhou, Wenhao |
collection | PubMed |
description | The Coronavirus disease 2019 (COVID-19) pandemic brings great challenges to the public health and social economics around the world. As the pandemic continues and the mass vaccination goes on, monitoring the antibodies is particularly important for the epidemiological survey and vaccine assessment. Here, we developed a luciferase immunoprecipitation assay combined with an automated platform to detect anti-Receptor Binding Domain (RBD) antibody, where protein A and protein G modified magnetic beads were used to capture antibodies in serum samples and SARS-CoV-2 RBD was fused with Gaussia luciferase to label the captured target antibodies. The whole detection procedure can be completed within 20 min. The developed assay has proven up to 32 times more sensitive than ELISA for the detection of RBD antibodies. Furthermore, the results of the antibody detection of sera from vaccination as well as convalescence displayed good performance. The automated platform may provide a powerful tool for the control of COVID-19 pandemic by vaccination and the research of SARS-CoV-2 seroconversion. |
format | Online Article Text |
id | pubmed-9672313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96723132022-11-18 A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies Zhou, Wenhao He, Ping Liu, Huan Wei, Hongping Yu, Junping Anal Chim Acta Article The Coronavirus disease 2019 (COVID-19) pandemic brings great challenges to the public health and social economics around the world. As the pandemic continues and the mass vaccination goes on, monitoring the antibodies is particularly important for the epidemiological survey and vaccine assessment. Here, we developed a luciferase immunoprecipitation assay combined with an automated platform to detect anti-Receptor Binding Domain (RBD) antibody, where protein A and protein G modified magnetic beads were used to capture antibodies in serum samples and SARS-CoV-2 RBD was fused with Gaussia luciferase to label the captured target antibodies. The whole detection procedure can be completed within 20 min. The developed assay has proven up to 32 times more sensitive than ELISA for the detection of RBD antibodies. Furthermore, the results of the antibody detection of sera from vaccination as well as convalescence displayed good performance. The automated platform may provide a powerful tool for the control of COVID-19 pandemic by vaccination and the research of SARS-CoV-2 seroconversion. Elsevier B.V. 2023-01-15 2022-11-16 /pmc/articles/PMC9672313/ /pubmed/36464447 http://dx.doi.org/10.1016/j.aca.2022.340633 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhou, Wenhao He, Ping Liu, Huan Wei, Hongping Yu, Junping A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies |
title | A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies |
title_full | A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies |
title_fullStr | A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies |
title_full_unstemmed | A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies |
title_short | A luciferase based automated assay for rapid and sensitive detection of SARS-CoV-2 antibodies |
title_sort | luciferase based automated assay for rapid and sensitive detection of sars-cov-2 antibodies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672313/ https://www.ncbi.nlm.nih.gov/pubmed/36464447 http://dx.doi.org/10.1016/j.aca.2022.340633 |
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