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SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR
Quantitative viral load assays have transformed our understanding of viral diseases. They hold similar potential to advance COVID-19 control and prevention, but SARS-CoV-2 viral load tests are not yet widely available. SARS-CoV-2 molecular diagnostic tests, which typically employ real-time RT-PCR, y...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164350/ https://www.ncbi.nlm.nih.gov/pubmed/34062285 http://dx.doi.org/10.1016/j.jmoldx.2021.04.014 |
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author | Kinloch, Natalie N. Ritchie, Gordon Dong, Winnie Cobarrubias, Kyle D. Sudderuddin, Hanwei Lawson, Tanya Matic, Nancy Montaner, Julio S.G. Leung, Victor Romney, Marc G. Lowe, Christopher F. Brumme, Chanson J. Brumme, Zabrina L. |
author_facet | Kinloch, Natalie N. Ritchie, Gordon Dong, Winnie Cobarrubias, Kyle D. Sudderuddin, Hanwei Lawson, Tanya Matic, Nancy Montaner, Julio S.G. Leung, Victor Romney, Marc G. Lowe, Christopher F. Brumme, Chanson J. Brumme, Zabrina L. |
author_sort | Kinloch, Natalie N. |
collection | PubMed |
description | Quantitative viral load assays have transformed our understanding of viral diseases. They hold similar potential to advance COVID-19 control and prevention, but SARS-CoV-2 viral load tests are not yet widely available. SARS-CoV-2 molecular diagnostic tests, which typically employ real-time RT-PCR, yield semiquantitative results only. Droplet digital RT-PCR (RT-ddPCR) offers an attractive platform for SARS-CoV-2 RNA quantification. Eight primer/probe sets originally developed for real-time RT-PCR–based SARS-CoV-2 diagnostic tests were evaluated for use in RT-ddPCR; three were identified as the most efficient, precise, and sensitive for RT-ddPCR–based SARS-CoV-2 RNA quantification. For example, the analytical efficiency for the E-Sarbeco primer/probe set was approximately 83%, whereas assay precision, measured as the coefficient of variation, was approximately 2% at 1000 input copies/reaction. Lower limits of quantification and detection for this primer/probe set were 18.6 and 4.4 input SARS-CoV-2 RNA copies/reaction, respectively. SARS-CoV-2 RNA viral loads in a convenience panel of 48 COVID-19–positive diagnostic specimens spanned a 6.2log(10) range, confirming substantial viral load variation in vivo. RT-ddPCR–derived SARS-CoV-2 E gene copy numbers were further calibrated against cycle threshold values from a commercial real-time RT-PCR diagnostic platform. This log-linear relationship can be used to mathematically derive SARS-CoV-2 RNA copy numbers from cycle threshold values, allowing the wealth of available diagnostic test data to be harnessed to address foundational questions in SARS-CoV-2 biology. |
format | Online Article Text |
id | pubmed-8164350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81643502021-06-01 SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR Kinloch, Natalie N. Ritchie, Gordon Dong, Winnie Cobarrubias, Kyle D. Sudderuddin, Hanwei Lawson, Tanya Matic, Nancy Montaner, Julio S.G. Leung, Victor Romney, Marc G. Lowe, Christopher F. Brumme, Chanson J. Brumme, Zabrina L. J Mol Diagn Regular Article Quantitative viral load assays have transformed our understanding of viral diseases. They hold similar potential to advance COVID-19 control and prevention, but SARS-CoV-2 viral load tests are not yet widely available. SARS-CoV-2 molecular diagnostic tests, which typically employ real-time RT-PCR, yield semiquantitative results only. Droplet digital RT-PCR (RT-ddPCR) offers an attractive platform for SARS-CoV-2 RNA quantification. Eight primer/probe sets originally developed for real-time RT-PCR–based SARS-CoV-2 diagnostic tests were evaluated for use in RT-ddPCR; three were identified as the most efficient, precise, and sensitive for RT-ddPCR–based SARS-CoV-2 RNA quantification. For example, the analytical efficiency for the E-Sarbeco primer/probe set was approximately 83%, whereas assay precision, measured as the coefficient of variation, was approximately 2% at 1000 input copies/reaction. Lower limits of quantification and detection for this primer/probe set were 18.6 and 4.4 input SARS-CoV-2 RNA copies/reaction, respectively. SARS-CoV-2 RNA viral loads in a convenience panel of 48 COVID-19–positive diagnostic specimens spanned a 6.2log(10) range, confirming substantial viral load variation in vivo. RT-ddPCR–derived SARS-CoV-2 E gene copy numbers were further calibrated against cycle threshold values from a commercial real-time RT-PCR diagnostic platform. This log-linear relationship can be used to mathematically derive SARS-CoV-2 RNA copy numbers from cycle threshold values, allowing the wealth of available diagnostic test data to be harnessed to address foundational questions in SARS-CoV-2 biology. Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. 2021-08 2021-05-29 /pmc/articles/PMC8164350/ /pubmed/34062285 http://dx.doi.org/10.1016/j.jmoldx.2021.04.014 Text en © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. 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 | Regular Article Kinloch, Natalie N. Ritchie, Gordon Dong, Winnie Cobarrubias, Kyle D. Sudderuddin, Hanwei Lawson, Tanya Matic, Nancy Montaner, Julio S.G. Leung, Victor Romney, Marc G. Lowe, Christopher F. Brumme, Chanson J. Brumme, Zabrina L. SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR |
title | SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR |
title_full | SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR |
title_fullStr | SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR |
title_full_unstemmed | SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR |
title_short | SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR |
title_sort | sars-cov-2 rna quantification using droplet digital rt-pcr |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164350/ https://www.ncbi.nlm.nih.gov/pubmed/34062285 http://dx.doi.org/10.1016/j.jmoldx.2021.04.014 |
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