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Pooled RNA extraction and PCR assay for efficient SARS-CoV-2 detection
Roni Ben-Ami; Agnes Klochendler; Matan Seidel; Tal Sido; Ori Gurel-Gurevich; Moran Yassour; Eran Meshorer; Gil Benedek; Irit Fogel; Esther Oiknine-Djian; Asaf Gertler; Zeev Rotstein; Bruno Lavi; Yuval Dor; Dana G Wolf; Maayan Salton; Yotam Drier; - The Hebrew University-Hadassah COVID-19 diagnosis team.
Affiliation
  • Roni Ben-Ami; The Hebrew University of Jerusalem
  • Agnes Klochendler; The Hebrew University of Jerusalem
  • Matan Seidel; Tel Aviv University
  • Tal Sido; Bar-Ilan University
  • Ori Gurel-Gurevich; The Hebrew University of Jerusalem
  • Moran Yassour; The Hebrew University of Jerusalem
  • Eran Meshorer; The Hebrew University of Jerusalem
  • Gil Benedek; Hadassah Medical Center
  • Irit Fogel; Hadassah Medical Center
  • Esther Oiknine-Djian; Hadassah Medical Center
  • Asaf Gertler; Hadassah Medical Center
  • Zeev Rotstein; Hadassah Medical Center
  • Bruno Lavi; Hadassah Medical Center
  • Yuval Dor; The Hebrew University of Jerusalem
  • Dana G Wolf; Hadassah Medical Center
  • Maayan Salton; The Hebrew University of Jerusalem
  • Yotam Drier; The Hebrew University of Jerusalem
  • - The Hebrew University-Hadassah COVID-19 diagnosis team;
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20069062
ABSTRACT
Testing for active SARS-CoV-2 infection is a fundamental tool in the public health measures taken to control the COVID-19 pandemic. Due to the overwhelming use of SARS-CoV-2 RT-PCR tests worldwide, availability of test kits has become a major bottleneck. Here we demonstrate pooling strategies to perform RNA extraction and RT-PCR in pools, significantly increasing throughput while maintaining clinical sensitivity. We implemented the method in a routine clinical diagnosis setting of asymptomatic populations, and already tested 5,464 individuals for SARS-CoV-2 using 731 RNA extraction and RT-PCR kits. We identified six SARS-CoV-2 positive patients corresponding to 0.11% of the tested population.
License
cc_by_nc
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint