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ssrn; 2020.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3659985

ABSTRACT

The outbreak of SARS-CoV-2 in December 2019, led to the ongoing global pandemic of coronavirus disease 2019 (COVID‑19), which has claimed more than a half million lives in a few months. Enormous efforts are being made in developing vaccines and therapeutic treatment to fight against COVID-19. Inactivated SARS-CoV-2 viruses are currently used as vaccine candidates; therefore, it is important to understand the architecture of SARS-CoV-2. We have propagated and purified a clinical strain of SARS-CoV-2 and genetically and structurally characterized β-propiolactone inactivated viruses. We observed that the virus particles are roughly spherical or moderately pleiomorphic. Although a small fraction of prefusion spikes are observed, the majority of viral spikes appear nail-shaped resembling a postfusion state, where S1 protein of the spike has disassociated. Cryo-electron tomography and subtomogram averaging of these spikes yielded a density map which closely matches the overall structure of SARS-CoV S2 spike and their corresponding glycosylation sites. Our findings have major implications in SARS-CoV-2 vaccine design owing to the critical importance of prefusion immunogens.Funding: This work was supported by the Science and Technology Innovation Committee of Shenzhen Municipality(202002073000002), the National Institutes of Health grant P50AI150481 (P.Z.), the UK Wellcome Trust Investigator Award 206422/Z/17/Z(P.Z.), and the UK Biotechnology and Biological Sciences Research Council grant BB/S003339/1 (P.Z.). Conflict of Interest: The authors declare no competing financial or non-financial interests. Ethical Approval: The research received approval from the Research Ethics Committee of Shenzhen Third People's Hospital, China (approval number: 2020-038). The Research Ethics Committee waived the requirement informed consent before the study started because of the urgent need to collect epidemiological and clinical data. We analyzed the data anonymously.


Subject(s)
Coronavirus Infections , COVID-19
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