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      Identification of lectin receptors for conserved SARS‐CoV‐2 glycosylation sites

      research-article
      1 , 1 , 2 , 3 , 4 , 2 , 2 , 2 , 5 , 6 , 7 , 1 , 1 , 1 , 1 , 8 , 9 , 1 , 6 , 10 , 1 , 6 , 11 , 3 , 12 , 2 , 1 , 8 ,
      The EMBO Journal
      John Wiley and Sons Inc.
      glycosylation, lectin, SARS‐CoV‐2, spike, Immunology, Microbiology, Virology & Host Pathogen Interaction, Post-translational Modifications, Proteolysis & Proteomics

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          Abstract

          New SARS‐CoV‐2 variants are continuously emerging with critical implications for therapies or vaccinations. The 22 N‐glycan sites of Spike remain highly conserved among SARS‐CoV‐2 variants, opening an avenue for robust therapeutic intervention. Here we used a comprehensive library of mammalian carbohydrate‐binding proteins (lectins) to probe critical sugar residues on the full‐length trimeric Spike and the receptor binding domain (RBD) of SARS‐CoV‐2. Two lectins, Clec4g and CD209c, were identified to strongly bind to Spike. Clec4g and CD209c binding to Spike was dissected and visualized in real time and at single‐molecule resolution using atomic force microscopy. 3D modelling showed that both lectins can bind to a glycan within the RBD‐ACE2 interface and thus interferes with Spike binding to cell surfaces. Importantly, Clec4g and CD209c significantly reduced SARS‐CoV‐2 infections. These data report the first extensive map and 3D structural modelling of lectin‐Spike interactions and uncovers candidate receptors involved in Spike binding and SARS‐CoV‐2 infections. The capacity of CLEC4G and mCD209c lectins to block SARS‐CoV‐2 viral entry holds promise for pan‐variant therapeutic interventions.

          Abstract

          The lectin receptors Clec4g and CD209c bind to the glycosylated SARS‐CoV‐2 Spike protein to interfere with Spike binding to cell surfaces and SARS‐CoV‐2 infection.

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          Most cited references45

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          SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor

          Summary The recent emergence of the novel, pathogenic SARS-coronavirus 2 (SARS-CoV-2) in China and its rapid national and international spread pose a global health emergency. Cell entry of coronaviruses depends on binding of the viral spike (S) proteins to cellular receptors and on S protein priming by host cell proteases. Unravelling which cellular factors are used by SARS-CoV-2 for entry might provide insights into viral transmission and reveal therapeutic targets. Here, we demonstrate that SARS-CoV-2 uses the SARS-CoV receptor ACE2 for entry and the serine protease TMPRSS2 for S protein priming. A TMPRSS2 inhibitor approved for clinical use blocked entry and might constitute a treatment option. Finally, we show that the sera from convalescent SARS patients cross-neutralized SARS-2-S-driven entry. Our results reveal important commonalities between SARS-CoV-2 and SARS-CoV infection and identify a potential target for antiviral intervention.
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            Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein

            Summary The emergence of SARS-CoV-2 has resulted in >90,000 infections and >3,000 deaths. Coronavirus spike (S) glycoproteins promote entry into cells and are the main target of antibodies. We show that SARS-CoV-2 S uses ACE2 to enter cells and that the receptor-binding domains of SARS-CoV-2 S and SARS-CoV S bind with similar affinities to human ACE2, correlating with the efficient spread of SARS-CoV-2 among humans. We found that the SARS-CoV-2 S glycoprotein harbors a furin cleavage site at the boundary between the S1/S2 subunits, which is processed during biogenesis and sets this virus apart from SARS-CoV and SARS-related CoVs. We determined cryo-EM structures of the SARS-CoV-2 S ectodomain trimer, providing a blueprint for the design of vaccines and inhibitors of viral entry. Finally, we demonstrate that SARS-CoV S murine polyclonal antibodies potently inhibited SARS-CoV-2 S mediated entry into cells, indicating that cross-neutralizing antibodies targeting conserved S epitopes can be elicited upon vaccination.
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              SWISS-MODEL: homology modelling of protein structures and complexes

              Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
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                Author and article information

                Contributors
                josef.penninger@ubc.ca
                Journal
                EMBO J
                EMBO J
                10.1002/(ISSN)1460-2075
                EMBJ
                embojnl
                The EMBO Journal
                John Wiley and Sons Inc. (Hoboken )
                0261-4189
                1460-2075
                23 August 2021
                23 August 2021
                : e108375
                Affiliations
                [ 1 ] IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences Vienna Austria
                [ 2 ] Institute of Biophysics Johannes Kepler University Linz Linz Austria
                [ 3 ] Department of Laboratory Medicine Unit of Clinical Microbiology Karolinska Institute and Karolinska University Hospital Stockholm Sweden
                [ 4 ] Public Health Agency of Sweden Solna Sweden
                [ 5 ] Department of Biotechnology and BOKU Core Facility Biomolecular & Cellular Analysis University of Natural Resources and Life Sciences Vienna Austria
                [ 6 ] Department of Chemistry University of Natural Resources and Life Sciences Vienna Austria
                [ 7 ] Department of Biotechnology University of Natural Resources and Life Sciences Vienna Austria
                [ 8 ] Department of Medical Genetics Life Sciences Institute University of British Columbia Vancouver BC Canada
                [ 9 ] Apeiron Biologics Vienna Austria
                [ 10 ] Department of Applied Genetics and Cell Biology University of Natural Resources and Life Sciences Vienna Austria
                [ 11 ] Department for Material Sciences and Process Engineering Institute for Molecular Modeling and Simulation University of Natural Resources and Life Sciences Vienna Austria
                [ 12 ] National Veterinary Institute Uppsala Sweden
                Author notes
                [*] [* ] Corresponding author. Tel: +43 1790 44; E‐mail: josef.penninger@ 123456ubc.ca

                [ † ]

                These authors contributed equally to this work

                Author information
                https://orcid.org/0000-0002-4832-3090
                https://orcid.org/0000-0002-9636-3329
                https://orcid.org/0000-0002-2652-5695
                https://orcid.org/0000-0003-1615-2642
                https://orcid.org/0000-0002-5234-5524
                https://orcid.org/0000-0001-8409-454X
                https://orcid.org/0000-0001-6692-8395
                https://orcid.org/0000-0003-3015-4038
                https://orcid.org/0000-0001-9013-5408
                https://orcid.org/0000-0003-2371-6055
                https://orcid.org/0000-0003-2583-1305
                https://orcid.org/0000-0002-8194-3777
                Article
                EMBJ2021108375
                10.15252/embj.2021108375
                8420505
                34375000
                e6016843-e4e0-4342-a651-a4fe57f72882
                © 2021 IMBA ‐ Institute of Molecular Biotechnology. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 July 2021
                : 31 March 2021
                : 28 July 2021
                Page count
                Figures: 13, Tables: 2, Pages: 19, Words: 25065
                Funding
                Funded by: T. von Zastrow Foundation
                Award ID: Z 271‐B19
                Funded by: Austrian Academy of Sciences
                Award ID: 101005026
                Funded by: Canada 150 Research Chairs Program
                Award ID: F18‐01336
                Funded by: Gouvernement du Canada|Canadian Institutes of Health Research (CIHR) , doi 10.13039/501100000024;
                Award ID: F20‐02343
                Award ID: F20‐02015
                Funded by: European Union's Horizon 2020
                Award ID: 841319
                Funded by: Austrian Science Fund (FWF) , doi 10.13039/501100002428;
                Award ID: V584
                Award ID: I3173
                Award ID: P31599
                Funded by: Vienna Science and Technology Fund (WWTF) , doi 10.13039/501100001821;
                Award ID: LS19‐029
                Award ID: COV20‐015
                Funded by: ÖAW Fellowship
                Award ID: STIP13202002
                Funded by: European Union's Horizon 2020
                Award ID: 721874
                Funded by: Innovative Medicines Initiative 2
                Award ID: 101005026
                Categories
                Article
                Articles
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.7 mode:remove_FC converted:06.09.2021

                Molecular biology
                glycosylation,lectin,sars‐cov‐2,spike,immunology,microbiology, virology & host pathogen interaction,post-translational modifications, proteolysis & proteomics

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