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Multi-color super-resolution imaging to study human coronavirus RNA during cellular infection.
Wang, Jiarui; Han, Mengting; Roy, Anish R; Wang, Haifeng; Möckl, Leonhard; Zeng, Leiping; Moerner, W E; Qi, Lei S.
  • Wang J; Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
  • Han M; Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA.
  • Roy AR; Departments of Bioengineering, Chemical and Systems Biology, and ChEM-H, Stanford University, Stanford, CA 94305, USA.
  • Wang H; Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
  • Möckl L; Departments of Bioengineering, Chemical and Systems Biology, and ChEM-H, Stanford University, Stanford, CA 94305, USA.
  • Zeng L; Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
  • Moerner WE; Departments of Bioengineering, Chemical and Systems Biology, and ChEM-H, Stanford University, Stanford, CA 94305, USA.
  • Qi LS; Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
Cell Rep Methods ; 2(2): 100170, 2022 Feb 28.
Article in English | MEDLINE | ID: covidwho-1664828
Preprint
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ABSTRACT
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the third human coronavirus within 20 years that gave rise to a life-threatening disease and the first to reach pandemic spread. To make therapeutic headway against current and future coronaviruses, the biology of coronavirus RNA during infection must be precisely understood. Here, we present a robust and generalizable framework combining high-throughput confocal and super-resolution microscopy imaging to study coronavirus infection at the nanoscale. Using the model human coronavirus HCoV-229E, we specifically labeled coronavirus genomic RNA (gRNA) and double-stranded RNA (dsRNA) via multi-color RNA immunoFISH and visualized their localization patterns within the cell. The 10-nm resolution achieved by our approach uncovers a striking spatial organization of gRNA and dsRNA into three distinct structures and enables quantitative characterization of the status of the infection after antiviral drug treatment. Our approach provides a comprehensive imaging framework that will enable future investigations of coronavirus fundamental biology and therapeutic effects.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Cell Rep Methods Year: 2022 Document Type: Article Affiliation country: J.crmeth.2022.100170

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Cell Rep Methods Year: 2022 Document Type: Article Affiliation country: J.crmeth.2022.100170