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A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells
The SARS-CoV-2 pandemic and the urgent need for massive antiviral testing highlighted the lack of a good cell-based assay that allowed for a fast, automated screening of antivirals in high-throughput content with minimal handling requirements in a BSL-3 environment. The present paper describes the c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558224/ https://www.ncbi.nlm.nih.gov/pubmed/36246297 http://dx.doi.org/10.3389/fmicb.2022.1031204 |
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author | Desmarets, Lowiese Callens, Nathalie Hoffmann, Eik Danneels, Adeline Lavie, Muriel Couturier, Cyril Dubuisson, Jean Belouzard, Sandrine Rouillé, Yves |
author_facet | Desmarets, Lowiese Callens, Nathalie Hoffmann, Eik Danneels, Adeline Lavie, Muriel Couturier, Cyril Dubuisson, Jean Belouzard, Sandrine Rouillé, Yves |
author_sort | Desmarets, Lowiese |
collection | PubMed |
description | The SARS-CoV-2 pandemic and the urgent need for massive antiviral testing highlighted the lack of a good cell-based assay that allowed for a fast, automated screening of antivirals in high-throughput content with minimal handling requirements in a BSL-3 environment. The present paper describes the construction of a green fluorescent substrate that, upon cleavage by the SARS-CoV-2 main protease, re-localizes from the cytoplasm in non-infected cells to the nucleus in infected cells. The construction was stably expressed, together with a red fluorescent nuclear marker, in a highly susceptible clone derived from Vero-81 cells. With this fluorescent reporter cell line, named F1G-red, SARS-CoV-2 infection can be scored automatically in living cells by comparing the patterns of green and red fluorescence signals acquired by automated confocal microscopy in a 384-well plate format. We show the F1G-red system is sensitive to several SARS-CoV-2 variants of concern and that it can be used to assess antiviral activities of compounds in dose–response experiments. This high-throughput system will provide a reliable tool for antiviral screening against SARS-CoV-2. |
format | Online Article Text |
id | pubmed-9558224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95582242022-10-14 A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells Desmarets, Lowiese Callens, Nathalie Hoffmann, Eik Danneels, Adeline Lavie, Muriel Couturier, Cyril Dubuisson, Jean Belouzard, Sandrine Rouillé, Yves Front Microbiol Microbiology The SARS-CoV-2 pandemic and the urgent need for massive antiviral testing highlighted the lack of a good cell-based assay that allowed for a fast, automated screening of antivirals in high-throughput content with minimal handling requirements in a BSL-3 environment. The present paper describes the construction of a green fluorescent substrate that, upon cleavage by the SARS-CoV-2 main protease, re-localizes from the cytoplasm in non-infected cells to the nucleus in infected cells. The construction was stably expressed, together with a red fluorescent nuclear marker, in a highly susceptible clone derived from Vero-81 cells. With this fluorescent reporter cell line, named F1G-red, SARS-CoV-2 infection can be scored automatically in living cells by comparing the patterns of green and red fluorescence signals acquired by automated confocal microscopy in a 384-well plate format. We show the F1G-red system is sensitive to several SARS-CoV-2 variants of concern and that it can be used to assess antiviral activities of compounds in dose–response experiments. This high-throughput system will provide a reliable tool for antiviral screening against SARS-CoV-2. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9558224/ /pubmed/36246297 http://dx.doi.org/10.3389/fmicb.2022.1031204 Text en Copyright © 2022 Desmarets, Callens, Hoffmann, Danneels, Lavie, Couturier, Dubuisson, Belouzard and Rouillé. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Desmarets, Lowiese Callens, Nathalie Hoffmann, Eik Danneels, Adeline Lavie, Muriel Couturier, Cyril Dubuisson, Jean Belouzard, Sandrine Rouillé, Yves A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells |
title | A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells |
title_full | A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells |
title_fullStr | A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells |
title_full_unstemmed | A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells |
title_short | A reporter cell line for the automated quantification of SARS-CoV-2 infection in living cells |
title_sort | reporter cell line for the automated quantification of sars-cov-2 infection in living cells |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558224/ https://www.ncbi.nlm.nih.gov/pubmed/36246297 http://dx.doi.org/10.3389/fmicb.2022.1031204 |
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