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NIRVANA for Simultaneous Detection and Mutation Surveillance of SARS-CoV-2 and Co-infections of Multiple Respiratory Viruses.
Bi, Chongwei; Ramos-Mandujano, Gerardo; Li, Mo.
  • Bi C; Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Ramos-Mandujano G; Shanghai ZhiYu Bio-technology Co., LTD, Shanghai, China.
  • Li M; Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Methods Mol Biol ; 2511: 79-88, 2022.
Article in English | MEDLINE | ID: covidwho-1941368
ABSTRACT
Detection and mutation surveillance of SARS-CoV-2 are crucial for combating the COVID-19 pandemic. Here we describe a lab-based method for multiplex isothermal amplification-based sequencing and real-time analysis of multiple viral genomes. It can simultaneously detect SARS-CoV-2, influenza A, human adenovirus, and human coronavirus and monitor mutations for up to 96 samples in real time. The method proved to be rapid and sensitive (limit of detection 29 viral RNA copies/µL of extracted nucleic acid) in detecting SARS-CoV-2 in clinical samples. We expect it to offer a promising solution for rapid field-deployable detection and mutational surveillance of pandemic viruses.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Nucleic Acid Amplification Techniques / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: 978-1-0716-2395-4_6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Nucleic Acid Amplification Techniques / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: 978-1-0716-2395-4_6