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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.
  • Kinloch NN; Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia.
  • Ritchie G; Division of Medical Microbiology and Virology, St Paul's Hospital, Vancouver, British Columbia; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Dong W; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia.
  • Cobarrubias KD; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia.
  • Sudderuddin H; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia.
  • Lawson T; Division of Medical Microbiology and Virology, St Paul's Hospital, Vancouver, British Columbia.
  • Matic N; Division of Medical Microbiology and Virology, St Paul's Hospital, Vancouver, British Columbia; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Montaner JSG; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Leung V; Division of Medical Microbiology and Virology, St Paul's Hospital, Vancouver, British Columbia; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, C
  • Romney MG; Division of Medical Microbiology and Virology, St Paul's Hospital, Vancouver, British Columbia; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Lowe CF; Division of Medical Microbiology and Virology, St Paul's Hospital, Vancouver, British Columbia; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Brumme CJ; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada. Electronic address: cbrumme@bccfe.ca.
  • Brumme ZL; Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia. Electronic address: zbrumme@sfu.ca.
J Mol Diagn ; 23(8): 907-919, 2021 08.
Article in English | MEDLINE | ID: covidwho-1248982
Preprint
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ABSTRACT
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 6.2log10 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA, Viral / COVID-19 Nucleic Acid Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies Limits: Humans Language: English Journal: J Mol Diagn Journal subject: Molecular Biology Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA, Viral / COVID-19 Nucleic Acid Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies Limits: Humans Language: English Journal: J Mol Diagn Journal subject: Molecular Biology Year: 2021 Document Type: Article