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Rapid identification of SARS-CoV-2 variants of concern using a portable peakPCR platform

Bechtold, P. and Wagner, P. and Hosch, S. and Siegrist, D. and Ruiz-Serrano, A. and Gregorini, M. and Mpina, M. and Ondó, F. A. and Obama, J. and Ayekaba, M. O. and Engler, O. and Stark, W. J. and Daubenberger, C. A. and Schindler, T.. (2021) Rapid identification of SARS-CoV-2 variants of concern using a portable peakPCR platform. Analytical chemistry, 93 (49). pp. 16350-16359.

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Official URL: https://edoc.unibas.ch/88891/

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Abstract

The need for tools that facilitate rapid detection and continuous monitoring of SARS-CoV-2 variants of concern (VOCs) is greater than ever, as these variants are more transmissible and therefore increase the pressure of COVID-19 on healthcare systems. To address this demand, we aimed at developing and evaluating a robust and fast diagnostic approach for the identification of SARS-CoV-2 VOC-associated spike gene mutations. Our diagnostic assays detect the E484K and N501Y single-nucleotide polymorphisms (SNPs) as well as a spike gene deletion (HV69/70) and can be run on standard laboratory equipment or on the portable rapid diagnostic technology platform peakPCR. The assays achieved excellent diagnostic performance when tested with RNA extracted from culture-derived SARS-CoV-2 VOC lineages and clinical samples collected in Equatorial Guinea, Central-West Africa. Simplicity of usage and the relatively low cost are advantages that make our approach well suitable for decentralized and rapid testing, especially in resource-limited settings.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medical Parasitology and Infection Biology (MPI) > Clinical Immunology (Daubenberger)
UniBasel Contributors:Wagner, Philipp and Hosch, Salome and Mpina, Maximillian and Daubenberger, Claudia and Schindler, Tobias
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:0003-2700
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:19 Dec 2022 10:18
Deposited On:19 Dec 2022 10:18

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