Статья

Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

Victor M. CormanCharité – Universitätsmedizin Berlin Institute of Virology, Berlin, Germany and German Centre for Infection Research (DZIF), Berlin, GermanyOlfert LandtTib-Molbiol, Berlin, GermanyMarco KaiserRichard MolenkampDepartment of Viroscience, Erasmus MC, Rotterdam, the NetherlandsAdam MeijerNational Institute for Public Health and the Environment (RIVM), Bilthoven, the NetherlandsDaniel K. W. ChuUniversity of Hong Kong, Hong Kong, ChinaTobias BleickerCharité – Universitätsmedizin Berlin Institute of Virology, Berlin, Germany and German Centre for Infection Research (DZIF), Berlin, GermanySebastian BrüninkCharité – Universitätsmedizin Berlin Institute of Virology, Berlin, Germany and German Centre for Infection Research (DZIF), Berlin, GermanyJulia SchneiderCharité – Universitätsmedizin Berlin Institute of Virology, Berlin, Germany and German Centre for Infection Research (DZIF), Berlin, GermanyMarie Luisa SchmidtCharité – Universitätsmedizin Berlin Institute of Virology, Berlin, Germany and German Centre for Infection Research (DZIF), Berlin, GermanyDaphne G.J.C. MuldersDepartment of Viroscience, Erasmus MC, Rotterdam, the NetherlandsBart L. HaagmansDepartment of Viroscience, Erasmus MC, Rotterdam, the NetherlandsBas van der VeerNational Institute for Public Health and the Environment (RIVM), Bilthoven, the NetherlandsSharon van den BrinkNational Institute for Public Health and the Environment (RIVM), Bilthoven, the NetherlandsLisa WijsmanNational Institute for Public Health and the Environment (RIVM), Bilthoven, the NetherlandsGabriel GoderskiNational Institute for Public Health and the Environment (RIVM), Bilthoven, the NetherlandsJean-Louis RometteUniversite d Aix-Marseille, Marseille, FranceJoanna EllisPublic Health England, London, United KingdomMaria ZambonPublic Health England, London, United KingdomMalik PeirisUniversity of Hong Kong, Hong Kong, ChinaHerman GoossensDepartment of Medical Microbiology, Vaccine and Infectious Diseases Institute, University of Antwerp, Antwerp, BelgiumChantal ReuskenNational Institute for Public Health and the Environment (RIVM), Bilthoven, the NetherlandsMarion KoopmansDepartment of Viroscience, Erasmus MC, Rotterdam, the NetherlandsChristian DrostenCharité – Universitätsmedizin Berlin Institute of Virology, Berlin, Germany and German Centre for Infection Research (DZIF), Berlin, Germany

2020en

ABI

Аннотация

BACKGROUND: The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. AIM: We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. METHODS: Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. RESULTS: The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive - Global (EVAg), a European Union infrastructure project. CONCLUSION: The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.

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Идентификаторы

DOI: 10.2807/1560-7917.es.2020.25.3.2000045

Цитирования и источники

Цитирований: 7Использованных источников: 0

Показатели — AkademScholar