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A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics

The SARS-CoV-2 pandemic has shown how a rapid rise in demand for patient and community sample testing can quickly overwhelm testing capability globally. With most diagnostic infrastructure dependent on specialized instruments, their exclusive reagent supplies quickly become bottlenecks, creating an...

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Autores principales: Crone, Michael A., Priestman, Miles, Ciechonska, Marta, Jensen, Kirsten, Sharp, David J., Anand, Arthi, Randell, Paul, Storch, Marko, Freemont, Paul S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479142/
https://www.ncbi.nlm.nih.gov/pubmed/32900994
http://dx.doi.org/10.1038/s41467-020-18130-3
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author Crone, Michael A.
Priestman, Miles
Ciechonska, Marta
Jensen, Kirsten
Sharp, David J.
Anand, Arthi
Randell, Paul
Storch, Marko
Freemont, Paul S.
author_facet Crone, Michael A.
Priestman, Miles
Ciechonska, Marta
Jensen, Kirsten
Sharp, David J.
Anand, Arthi
Randell, Paul
Storch, Marko
Freemont, Paul S.
author_sort Crone, Michael A.
collection PubMed
description The SARS-CoV-2 pandemic has shown how a rapid rise in demand for patient and community sample testing can quickly overwhelm testing capability globally. With most diagnostic infrastructure dependent on specialized instruments, their exclusive reagent supplies quickly become bottlenecks, creating an urgent need for approaches to boost testing capacity. We address this challenge by refocusing the London Biofoundry onto the development of alternative testing pipelines. Here, we present a reagent-agnostic automated SARS-CoV-2 testing platform that can be quickly deployed and scaled. Using an in-house-generated, open-source, MS2-virus-like particle (VLP) SARS-CoV-2 standard, we validate RNA extraction and RT-qPCR workflows as well as two detection assays based on CRISPR-Cas13a and RT-loop-mediated isothermal amplification (RT-LAMP). In collaboration with an NHS diagnostic testing lab, we report the performance of the overall workflow and detection of SARS-CoV-2 in patient samples using RT-qPCR, CRISPR-Cas13a, and RT-LAMP. The validated RNA extraction and RT-qPCR platform has been installed in NHS diagnostic labs, increasing testing capacity by 1000 samples per day.
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spelling pubmed-74791422020-09-21 A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics Crone, Michael A. Priestman, Miles Ciechonska, Marta Jensen, Kirsten Sharp, David J. Anand, Arthi Randell, Paul Storch, Marko Freemont, Paul S. Nat Commun Article The SARS-CoV-2 pandemic has shown how a rapid rise in demand for patient and community sample testing can quickly overwhelm testing capability globally. With most diagnostic infrastructure dependent on specialized instruments, their exclusive reagent supplies quickly become bottlenecks, creating an urgent need for approaches to boost testing capacity. We address this challenge by refocusing the London Biofoundry onto the development of alternative testing pipelines. Here, we present a reagent-agnostic automated SARS-CoV-2 testing platform that can be quickly deployed and scaled. Using an in-house-generated, open-source, MS2-virus-like particle (VLP) SARS-CoV-2 standard, we validate RNA extraction and RT-qPCR workflows as well as two detection assays based on CRISPR-Cas13a and RT-loop-mediated isothermal amplification (RT-LAMP). In collaboration with an NHS diagnostic testing lab, we report the performance of the overall workflow and detection of SARS-CoV-2 in patient samples using RT-qPCR, CRISPR-Cas13a, and RT-LAMP. The validated RNA extraction and RT-qPCR platform has been installed in NHS diagnostic labs, increasing testing capacity by 1000 samples per day. Nature Publishing Group UK 2020-09-08 /pmc/articles/PMC7479142/ /pubmed/32900994 http://dx.doi.org/10.1038/s41467-020-18130-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Crone, Michael A.
Priestman, Miles
Ciechonska, Marta
Jensen, Kirsten
Sharp, David J.
Anand, Arthi
Randell, Paul
Storch, Marko
Freemont, Paul S.
A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics
title A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics
title_full A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics
title_fullStr A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics
title_full_unstemmed A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics
title_short A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics
title_sort role for biofoundries in rapid development and validation of automated sars-cov-2 clinical diagnostics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479142/
https://www.ncbi.nlm.nih.gov/pubmed/32900994
http://dx.doi.org/10.1038/s41467-020-18130-3
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