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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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Digital RT-PCR Chip method for detection of SARS-CoV-2 virus
Laura Dioni1, Annarosa Orlandi2, Sara Uceda Renteria2
1EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.
Journal of Immunological Methods
|August 19, 2022
Summary
A new digital RT-PCR method offers higher sensitivity for detecting SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) in low viral load samples. This advanced technique shows promise for accurate viral load quantification in asymptomatic individuals.
Area of Science:
- Molecular Biology
- Virology
- Diagnostic Technologies
Background:
- Real-time reverse transcription-polymerase chain reaction (RT-qPCR) is the standard for SARS-CoV-2 detection but has limitations in identifying low viral loads.
- Pre-analytical and technical challenges can affect the sensitivity of conventional RT-qPCR assays.
Purpose of the Study:
- To develop and evaluate a digital RT-PCR (dRT-PCR) on-chip method for enhanced SARS-CoV-2 detection.
- To assess the sensitivity of dRT-PCR compared to RT-qPCR for viral load quantification.
Main Methods:
- Developed a novel on-chip dRT-PCR assay for SARS-CoV-2 detection.
- Utilized TaqMan™ Assays targeting the N (Nucleocapsid) and S (Spike) proteins.
- Employed the QuantStudio™ 3D Digital PCR instrument for analysis.
- Applied the method to nasopharyngeal swabs from asymptomatic subjects in the UNICORN Study.
Main Results:
- The developed dRT-PCR method demonstrated superior sensitivity compared to standard RT-qPCR.
- The assay successfully detected SARS-CoV-2 in samples with low viral loads that might be missed by RT-qPCR.
- Quantification of viral load was achieved using specific N and S protein assays.
Conclusions:
- Digital RT-PCR is a highly sensitive method for SARS-CoV-2 detection and quantification.
- This on-chip dRT-PCR approach offers a promising advancement over conventional RT-qPCR, particularly for low viral load scenarios.
- The technology could be valuable for monitoring viral load in asymptomatic populations and improving diagnostic accuracy.

