A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2

Area of Science:

• Molecular Biology
• Virology
• Genomic Sequencing

Background:

• Effective management of viral pandemics like COVID-19 necessitates high-throughput testing.
• Existing diagnostic methods may face challenges in scalability and automation for population-level surveillance.

Purpose of the Study:

• To introduce and validate a novel, scalable, and automated platform for SARS-CoV-2 detection.
• To assess the performance of the C19-SPAR-Seq platform in a clinical diagnostic setting.

Main Methods:

• Development of Systematic Parallel Analysis of RNA coupled to Sequencing for Covid-19 screening (C19-SPAR-Seq), a multiplexed assay.
• Integration of control-based Precision-Recall and Receiver Operator Characteristics (coPR) analysis for quality control.
• Testing on a cohort of several hundred patients to evaluate diagnostic accuracy.

Main Results:

• C19-SPAR-Seq demonstrated 100% specificity and 91% sensitivity for samples with low viral loads.
• Sensitivity exceeded 95% for samples with high viral loads, indicative of disease onset and peak transmissibility.
• The platform is capable of analyzing tens of thousands of patient samples in a single run.

Conclusions:

• C19-SPAR-Seq is a feasible and effective platform for the large-scale monitoring of SARS-CoV-2.
• The integration of coPR analysis ensures reliable quality control for clinical diagnostics.
• This technology holds potential for the surveillance of other viral pathogens.