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Using soft X-ray tomography for rapid whole-cell quantitative imaging of SARS-CoV-2-infected cells.
Loconte, Valentina; Chen, Jian-Hua; Cortese, Mirko; Ekman, Axel; Le Gros, Mark A; Larabell, Carolyn; Bartenschlager, Ralf; Weinhardt, Venera.
  • Loconte V; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Chen JH; Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA.
  • Cortese M; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Ekman A; Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA.
  • Le Gros MA; Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany.
  • Larabell C; Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA.
  • Bartenschlager R; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Weinhardt V; Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA.
Cell Rep Methods ; 1(7): 100117, 2021 Nov 22.
Article in English | MEDLINE | ID: covidwho-1487678
ABSTRACT
High-resolution and rapid imaging of host cell ultrastructure can generate insights toward viral disease mechanism, for example for a severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Here, we employ full-rotation soft X-ray tomography (SXT) to examine organelle remodeling induced by SARS-CoV-2 at the whole-cell level with high spatial resolution and throughput. Most of the current SXT systems suffer from a restricted field of view due to use of flat sample supports and artifacts due to missing data. In this approach using cylindrical sample holders, a full-rotation tomogram of human lung epithelial cells is performed in less than 10 min. We demonstrate the potential of SXT imaging by visualizing aggregates of SARS-CoV-2 virions and virus-induced intracellular alterations. This rapid whole-cell imaging approach allows us to visualize the spatiotemporal changes of cellular organelles upon viral infection in a quantitative manner.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Cell Rep Methods Year: 2021 Document Type: Article Affiliation country: J.crmeth.2021.100117

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Cell Rep Methods Year: 2021 Document Type: Article Affiliation country: J.crmeth.2021.100117