Multiplexed detection of SARS-CoV-2 and other respiratory infections in high throughput by SARSeq

Autor: Marcus Martin Strobl, Franz Allerberger, Ezgi Özkan, Amina Kurtovic-Kozaric, Peter Hufnagl, Alexander Stark, Ramesh Yelagandula, Alexander Vogt, Aleksandr Bykov, Kristina Uzunova, Juliane Christina Baar, Manuela Födinger, Erna Suljic, Bence Hajdusits, Sebija Izetbegovic, Darja Kordic, Luisa Cochella, Robert Heinen, Justine Schaeffer, Alexander Zoufaly, Tamara Seitz, Ulrich Elling
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Nature Communications
ISSN: 2041-1723
Popis: The COVID-19 pandemic has demonstrated the need for massively-parallel, cost-effective tests monitoring viral spread. Here we present SARSeq, saliva analysis by RNA sequencing, a method to detect SARS-CoV-2 and other respiratory viruses on tens of thousands of samples in parallel. SARSeq relies on next generation sequencing of multiple amplicons generated in a multiplexed RT-PCR reaction. Two-dimensional, unique dual indexing, using four indices per sample, enables unambiguous and scalable assignment of reads to individual samples. We calibrate SARSeq on SARS-CoV-2 synthetic RNA, virions, and hundreds of human samples of various types. Robustness and sensitivity were virtually identical to quantitative RT-PCR. Double-blinded benchmarking to gold standard quantitative-RT-PCR performed by human diagnostics laboratories confirms this high sensitivity. SARSeq can be used to detect Influenza A and B viruses and human rhinovirus in parallel, and can be expanded for detection of other pathogens. Thus, SARSeq is ideally suited for differential diagnostic of infections during a pandemic.
Massively parallel but cost-effective testing is essential to monitor the spread of pathogenic agents. Here the authors present SARSseq, which uses a dual indexing strategy in a multiplexed RT-PCR reaction to diagnose SARS-CoV-2 at scale.
Databáze: OpenAIRE