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      Prime editor‐mediated functional reshaping of ACE2 prevents the entry of multiple human coronaviruses, including SARS‐CoV‐2 variants

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          Abstract

          The spike protein of SARS‐CoV‐2 hijacks the host angiotensin converting enzyme 2 (ACE2) to meditate its entry and is the primary target for vaccine development. Nevertheless, SARS‐CoV‐2 keeps evolving and the latest Omicron subvariants BQ.1 and XBB have gained exceptional immune evasion potential through mutations in their spike proteins, leading to sharply reduced efficacy of current spike‐focused vaccines and therapeutics. Compared with the fast‐evolving spike protein, targeting host ACE2 offers an alternative antiviral strategy that is more resistant to viral evolution and can even provide broad prevention against SARS‐CoV and HCoV‐NL63. Here, we use prime editor (PE) to precisely edit ACE2 at structurally selected sites. We demonstrated that residue changes at Q24/D30/K31 and/or K353 of ACE2 could completely ablate the binding of tested viruses while maintaining its physiological role in host angiotensin II conversion. PE‐mediated ACE2 editing at these sites suppressed the entry of pseudotyped SARS‐CoV‐2 major variants of concern and even SARS‐CoV or HCoV‐NL63. Moreover, it significantly inhibited the replication of the Delta variant live virus. Our work investigated the unexplored application potential of prime editing in high‐risk infectious disease control and demonstrated that such gene editing‐based host factor reshaping strategy can provide broad‐spectrum antiviral activity and a high barrier to viral escape or resistance.

          Abstract

          ACE2‐editing provided protection against multiple human coronaviruses (HCoVs), including SARS‐CoV, HCoV‐NL63, SARS‐CoV‐2, and its variants of concern. Model for ACE2‐editing‐provided protection against multiple HCoVs. Left: Wild‐type angiotensin converting enzyme 2 (ACE2) catalyzes the conversion of Ang II into Ang 1–7 and serves as the entry receptor for multiple HCoVs. Middle: ACE2‐editing site screening is guided by structural analysis, and editing outcomes are evaluated at multiple levels. Right: Precise editing of ACE2 blocks the cell entry of multiple HCoVs and meanwhile maintains the physiological function of ACE2 in renin–angiotensin system.

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          A pneumonia outbreak associated with a new coronavirus of probable bat origin

          Since the outbreak of severe acute respiratory syndrome (SARS) 18 years ago, a large number of SARS-related coronaviruses (SARSr-CoVs) have been discovered in their natural reservoir host, bats 1–4 . Previous studies have shown that some bat SARSr-CoVs have the potential to infect humans 5–7 . Here we report the identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China. The epidemic, which started on 12 December 2019, had caused 2,794 laboratory-confirmed infections including 80 deaths by 26 January 2020. Full-length genome sequences were obtained from five patients at an early stage of the outbreak. The sequences are almost identical and share 79.6% sequence identity to SARS-CoV. Furthermore, we show that 2019-nCoV is 96% identical at the whole-genome level to a bat coronavirus. Pairwise protein sequence analysis of seven conserved non-structural proteins domains show that this virus belongs to the species of SARSr-CoV. In addition, 2019-nCoV virus isolated from the bronchoalveolar lavage fluid of a critically ill patient could be neutralized by sera from several patients. Notably, we confirmed that 2019-nCoV uses the same cell entry receptor—angiotensin converting enzyme II (ACE2)—as SARS-CoV.
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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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              Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor

              A new and highly pathogenic coronavirus (severe acute respiratory syndrome coronavirus-2, SARS-CoV-2) caused an outbreak in Wuhan city, Hubei province, China, starting from December 2019 that quickly spread nationwide and to other countries around the world1-3. Here, to better understand the initial step of infection at an atomic level, we determined the crystal structure of the receptor-binding domain (RBD) of the spike protein of SARS-CoV-2 bound to the cell receptor ACE2. The overall ACE2-binding mode of the SARS-CoV-2 RBD is nearly identical to that of the SARS-CoV RBD, which also uses ACE2 as the cell receptor4. Structural analysis identified residues in the SARS-CoV-2 RBD that are essential for ACE2 binding, the majority of which either are highly conserved or share similar side chain properties with those in the SARS-CoV RBD. Such similarity in structure and sequence strongly indicate convergent evolution between the SARS-CoV-2 and SARS-CoV RBDs for improved binding to ACE2, although SARS-CoV-2 does not cluster within SARS and SARS-related coronaviruses1-3,5. The epitopes of two SARS-CoV antibodies that target the RBD are also analysed for binding to the SARS-CoV-2 RBD, providing insights into the future identification of cross-reactive antibodies.
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                Author and article information

                Contributors
                lul@fudan.edu.cn
                liyang_fudan@fudan.edu.cn
                chenjia@shanghaitech.edu.cn
                yangbei@shanghaitech.edu.cn
                Journal
                MedComm (2020)
                MedComm (2020)
                10.1002/(ISSN)2688-2663
                MCO2
                MedComm
                John Wiley and Sons Inc. (Hoboken )
                2688-2663
                10 September 2023
                October 2023
                : 4
                : 5 ( doiID: 10.1002/mco2.v4.5 )
                : e356
                Affiliations
                [ 1 ] Shanghai Frontiers Science Center for Biomacromolecules and Precision Medicine Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology ShanghaiTech University Shanghai China
                [ 2 ] Gene Editing Center School of Life Science and Technology ShanghaiTech University Shanghai China
                [ 3 ] Shanghai Clinical Research and Trial Center Shanghai China
                [ 4 ] Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai China
                [ 5 ] Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS) School of Basic Medical Sciences Fudan University Shanghai China
                [ 6 ] Shanghai Institute of Infectious Disease and Biosecurity, Fudan University Shanghai China
                [ 7 ] Biosafety Level 3 Laboratory Shanghai Medical College Shanghai Frontiers Science Center of Pathogenic Microbes and Infection Fudan University Shanghai China
                [ 8 ] Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences Chinese Academy of Sciences Shanghai China
                [ 9 ] School of Physical Science and Technology ShanghaiTech University Shanghai China
                [ 10 ] Center for Molecular Medicine Children's Hospital Fudan University Shanghai China
                [ 11 ] Shanghai Key Laboratory of Medical Epigenetics International Laboratory of Medical Epigenetics and Metabolism Ministry of Science and Technology Institutes of Biomedical Sciences Fudan University Shanghai China
                Author notes
                [*] [* ] Correspondence

                Lu Lu, Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Fudan University, Shanghai, China.

                Email: lul@ 123456fudan.edu.cn

                Li Yang, Center for Molecular Medicine, Children's Hospital, Fudan University, Shanghai, China.

                Email: liyang_fudan@ 123456fudan.edu.cn

                Jia Chen and Bei Yang, Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, Shanghai Frontiers Science Center for Biomacromolecules and Precision Medicine, ShanghaiTech University, Shanghai, China.

                Email: chenjia@ 123456shanghaitech.edu.cn and yangbei@ 123456shanghaitech.edu.cn

                Author information
                https://orcid.org/0000-0002-4083-6043
                https://orcid.org/0000-0002-4242-2899
                Article
                MCO2356
                10.1002/mco2.356
                10492923
                37701533
                0214af8f-ca9a-42de-9577-ddbed81f58a4
                © 2023 The Authors. MedComm published by Sichuan International Medical Exchange & Promotion Association (SCIMEA) and John Wiley & Sons Australia, Ltd.

                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
                : 21 July 2023
                : 14 March 2023
                : 26 July 2023
                Page count
                Figures: 7, Tables: 0, Pages: 16, Words: 8090
                Funding
                Funded by: Ministry of Science and Technology of the People's Republic of China , doi 10.13039/501100002855;
                Award ID: 2019YFA0802804
                Award ID: 2018YFA0801401
                Award ID: 2018ZX10731‐101‐001‐010
                Award ID: 2021YFC2300703
                Award ID: 2022YFC2604102
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 31925011
                Award ID: 32070170
                Award ID: 81872305
                Award ID: 91940306
                Funded by: Ministry of Agriculture and Rural Affairs of the People's Republic of China , doi 10.13039/501100011798;
                Award ID: NK2022010207
                Funded by: Science and Technology Commission of Shanghai Municipality , doi 10.13039/501100003399;
                Award ID: 21JC1404600
                Award ID: 23ZR1442500
                Funded by: Program of Shanghai Academic Research Leader , doi 10.13039/501100012247;
                Award ID: 20XD1420300
                Award ID: 23XD1422500
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                October 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.3 mode:remove_FC converted:10.09.2023

                broad spectrum,hcov‐nl63,host factor reshaping,prime editing,sars‐cov,sars‐cov‐2 vocs

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