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A spatial multi-scale fluorescence microscopy toolbox discloses entry checkpoints of SARS-CoV-2 variants in Vero E6 cells

Authors :
Barbara Storti
Paola Quaranta
Cristina Di Primio
Nicola Clementi
Nicasio Mancini
Elena Criscuolo
Pietro Giorgio Spezia
Vittoria Carnicelli
Giulia Lottini
Emanuele Paolini
Giulia Freer
Michele Lai
Mario Costa
Fabio Beltram
Alberto Diaspro
Mauro Pistello
Riccardo Zucchi
Paolo Bianchini
Giovanni Signore
Ranieri Bizzarri
Source :
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 6140-6156 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

We exploited a multi-scale microscopy imaging toolbox to address some major issues related to SARS-CoV-2 interactions with host cells. Our approach harnesses both conventional and super-resolution fluorescence microscopy and easily matches the spatial scale of single-virus/cell checkpoints. After its validation through the characterization of infected cells and virus morphology, we leveraged this toolbox to reveal subtle issues related to the entry phase of SARS-CoV-2 variants in Vero E6 cells. Our results show that in Vero E6 cells the B.1.1.7 strain (aka Alpha Variant of Concern) is associated with much faster kinetics of endocytic uptake compared to its ancestor B.1.177. Given the cell-entry scenario dominated by the endosomal “late pathway”, the faster internalization of B.1.1.7 could be directly related to the N501Y mutation in the S protein, which is known to strengthen the binding of Spike receptor binding domain with ACE2. Remarkably, we also directly observed the central role of clathrin as a mediator of endocytosis in the late pathway of entry. In keeping with the clathrin-mediated endocytosis, we highlighted the non-raft membrane localization of ACE2. Overall, we believe that our fluorescence microscopy-based approach represents a fertile strategy to investigate the molecular features of SARS-CoV-2 interactions with cells.

Details

Language :
English
ISSN :
20010370
Volume :
19
Issue :
6140-6156
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.38a5d9bc1ecb4185a14016ed78626b1d
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2021.10.038