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Correlative multi-scale cryo-imaging unveils SARS-CoV-2 assembly and egress
Since the outbreak of the SARS-CoV-2 pandemic, there have been intense structural studies on purified viral components and inactivated viruses. However, structural and ultrastructural evidence on how the SARS-CoV-2 infection progresses in the native cellular context is scarce, and there is a lack of...
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Published in: | Nature communications 2021-07, Vol.12 (1), p.4629-4629, Article 4629 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Since the outbreak of the SARS-CoV-2 pandemic, there have been intense structural studies on purified viral components and inactivated viruses. However, structural and ultrastructural evidence on how the SARS-CoV-2 infection progresses in the native cellular context is scarce, and there is a lack of comprehensive knowledge on the SARS-CoV-2 replicative cycle. To correlate cytopathic events induced by SARS-CoV-2 with virus replication processes in frozen-hydrated cells, we established a unique multi-modal, multi-scale cryo-correlative platform to image SARS-CoV-2 infection in Vero cells. This platform combines serial cryoFIB/SEM volume imaging and soft X-ray cryo-tomography with cell lamellae-based cryo-electron tomography (cryoET) and subtomogram averaging. Here we report critical SARS-CoV-2 structural events – e.g. viral RNA transport portals, virus assembly intermediates, virus egress pathway, and native virus spike structures, in the context of whole-cell volumes revealing drastic cytppathic changes. This integrated approach allows a holistic view of SARS-CoV-2 infection, from the whole cell to individual molecules.
In this study, Peijun Zhang and colleagues use cryoFIB/SEM volume imaging and soft x-ray cryo-tomography with cryo-electron tomography (cryoET) of cellular periphery, lamellae, and subtomogram averaging to place critical structural events in the SARS-CoV-2 infection cycle in the context of whole-cell images. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-021-24887-y |