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Development of a novel hybrid alphavirus-SARS-CoV-2 particle for rapid in vitro screening and quantification of neutralization antibodies, antiviral drugs, and viral mutations (preprint)
biorxiv; 2020.
Preprint
in English
| bioRxiv | ID: ppzbmed-10.1101.2020.12.22.423965
ABSTRACT
Timely development of vaccines and antiviral drugs are critical to control the coronavirus disease 2019 (COVID-19) global pandemic. Current methods for validation of vaccine efficacy involve the use of pseudoviruses, such as the SARS-CoV-2 spike protein (S) pseudotyped lentivirus or vesicular stomatitis virus (VSV), to quantify neutralizing antibodies for blocking viral infection. The process of pseudovirus infection and quantification is time consuming and can take days to complete. In addition, pseudoviruses contain structural proteins not native to SARS-CoV-2, which may alter particle properties in receptor binding and responses to antibody neutralization. Here we describe the development of a new hybrid alphavirus-SARS-CoV-2 particle (Ha-CoV-2) for rapid screening and quantification of neutralization antibodies and antiviral drugs. Ha-CoV-2 is a non-replicating SARS-CoV-2 virus-like particle, composed of only SARS-CoV-2 structural proteins (S, M, N, and E) and a RNA genome derived from a fast expressing alphavirus vector. We demonstrate that Ha-CoV-2 can rapidly and robustly express reporter genes in target cells within 3-5 hours following viral entry. We further validate the Ha-CoV-2 system for rapid quantification of neutralization antibodies and antiviral drugs. In addition, we assembled a Ha-CoV-2 particle bearing the D614G mutant spike protein, and found that the mutation led to an approximately 200% increase in virion infectivity. These results demonstrate that Ha-CoV-2 can also be applied for rapid monitoring and quantification of viral mutations for effects on neutralizing antibodies induced by vaccines.
Full text:
Available
Collection:
Preprints
Database:
bioRxiv
Main subject:
Virus Diseases
/
Vesicular Stomatitis
/
COVID-19
Language:
English
Year:
2020
Document Type:
Preprint
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