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Microfluidic nano-scale qPCR enables ultra-sensitive detection of SARS-CoV-2

Authors :
Marc Arnoux
Tamara Gjorgjieva
Raghib Ali
Zyrone Victoria
Xin Xie
Mohammed Zafar
Mostafa Khair
Yasmine Moussa
Mame Massar Dieng
Zaynoun Attieh
Fatima Al Jallaf
Youssef Idaghdour
Christopher A. Jackson
Nabil Rahiman
Fabio Piano
Kristin C. Gunsalus
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

BackgroundA major challenge in controlling the COVID-19 pandemic is the high false-negative rate of the commonly used standard RT-PCR methods for SARS-CoV-2 detection in clinical samples. Accurate detection is particularly challenging in samples with low viral loads that are below the limit of detection (LoD) of standard one- or two-step RT-PCR methods.MethodsWe implement a three-step approach for SARS-CoV-2 detection and quantification that employs reverse transcription, targeted cDNA preamplification and nano-scale qPCR based on the Fluidigm 192.24 microfluidic chip. We validate the method using both positive controls and nasopharyngeal swab samples.ResultsUsing SARS-CoV-2 synthetic RNA and plasmid controls, we demonstrate that the addition of a preamplification step enhances the LoD of the Fluidigm method by 1,000-fold, enabling detection below 1 copy/μl. We applied this method to analyze 182 clinical NP swab samples previously diagnosed using a standard RT-qPCR protocol (91 positive, 91 negative) and demonstrate reproducible detection of SARS-CoV-2 over five orders of magnitude (< 1 to 106viral copies/μl). Crucially, we detect SARS-CoV-2 with relatively low viral load estimates (ConclusionThe three-step nano-scale RT-qPCR method can robustly detect SARS-CoV-2 in samples with relatively low viral loads (< 1 viral copy/μl) and has the potential to reduce the false negative rate of standard RT-PCR-based diagnostic tests for SARS-CoV-2 and other viral infections.SummaryWe test, implement and report the results of a microfluidic RT-qPCR assay system involving sequential RT, preamplification and nano-scale qPCR that can robustly detect SARS-CoV-2 in clinical samples with viral loads less than 1 copy/ul.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........d9bcf50132230a73c8f6a7a4937944aa