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Two-Step Reverse Transcription Droplet Digital PCR Protocols for SARS-CoV-2 Detection and Quantification
Published on: March 31, 2021
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Optimized protocol for a quantitative SARS-CoV-2 duplex RT-qPCR assay with internal human sample sufficiency control
Aileen G Rowan1, Philippa May2, Anjna Badhan3
1Section of Virology, Department of Infectious Disease, Imperial College London, United Kingdom; Centre for Haematology, Department of Infection and Inflammation, Imperial College London, United Kingdom.
Journal of Virological Methods
|May 13, 2021
Summary
Quantifying SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) viral load is feasible in clinical settings. An internal control identified inadequate samples, preventing false negatives and enabling viral burden-guided decisions for COVID-19 management.
Area of Science:
- Virology
- Molecular Biology
- Clinical Diagnostics
Background:
- Accurate measurement of SARS-CoV-2 viral load is crucial for managing COVID-19 patients and carriers.
- Clinical settings require reliable methods for SARS-CoV-2 quantification to inform patient care and public health strategies.
Purpose of the Study:
- To establish a feasible clinical assay for quantifying SARS-CoV-2 viral copy number.
- To implement an internal control for assessing sample quality and assay reliability.
Main Methods:
- Development of a duplex RT-qPCR assay targeting the SARS-CoV-2 E gene and the human RNase P gene.
- Utilizing RNase P amplification as an internal control for sample sufficiency and integrity.
- Establishing a standard curve for converting Cq values to viral copy numbers.
Main Results:
- The duplex RT-qPCR assay is clinically feasible and highly reproducible, linear across 7 logs.
- An internal control identified 2.4% of nasopharyngeal swabs as inadequate for testing.
- SARS-CoV-2 copy number was independent of RNase P copy number, ensuring comparability between samples.
Conclusions:
- Quantification of SARS-CoV-2 viral load is achievable in a clinical setting.
- The assay's internal control is vital for detecting inadequate samples and preventing false negatives.
- Accurate viral load quantification facilitates evidence-based clinical and public health decision-making for COVID-19.

