Population scale sweeps of viral pathogens, such as SARS-CoV-2, require high intensity testing for effective management. Here, we describe “Systematic Parallel Analysis of RNA coupled to Sequencing for Covid-19 screening” (C19-SPAR-Seq), a multiplexed, scalable, readily automated platform for SARS-CoV-2 detection that is capable of analyzing tens of thousands of patient samples in a single run. To address strict requirements for control of assay parameters and output demanded by clinical diagnostics, we employ a control-based Precision-Recall and Receiver Operator Characteristics (coPR) analysis to assign run-specific quality control metrics. C19-SPAR-Seq coupled to coPR on a trial cohort of several hundred patients performs with a specificity of 100% and sensitivity of 91% on samples with low viral loads, and a sensitivity of >95% on high viral loads associated with disease onset and peak transmissibility. This study establishes the feasibility of employing C19-SPAR-Seq for the large-scale monitoring of SARS-CoV-2 and other pathogens. Wide-spread outbreaks of pathogens require high intensity testing to manage. Here, the authors present C19-SPAR-Seq, a scalable and automated platform to analyse tens of thousands of SARS-CoV-2 patient samples in a single run.
【저자키워드】 SARS-CoV-2, High-throughput screening, 【초록키워드】 Trial, feasibility, diagnostics, Population, RNA, SARS-CoV-2 detection, sensitivity, specificity, Cohort, Transmissibility, pathogen, Viral load, outbreak, management, Patient, Pathogens, automated, Quality control, platform, Analysis, disease onset, intensity, Metrics, viral loads, receiver, viral pathogens, parameter, effective, 【제목키워드】 Sequencing, platform,