Recreating the biological steps of viral infection on a cell-free bioelectronic platform to profile viral variants of concern

Zhongmou Chao, Ekaterina Selivanovitch, Konstantinos Kallitsis, Zixuan Lu, Ambika Pachaury, Róisín Owens and Susan Daniel ()
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Zhongmou Chao: Cornell University
Ekaterina Selivanovitch: Cornell University
Konstantinos Kallitsis: University of Cambridge
Zixuan Lu: University of Cambridge
Ambika Pachaury: Cornell University
Róisín Owens: University of Cambridge
Susan Daniel: Cornell University

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract Viral mutations frequently outpace technologies used to detect harmful variants. Given the continual emergence of SARS-CoV-2 variants, platforms that can identify the presence of a virus and its propensity for infection are needed. Our electronic biomembrane sensing platform recreates distinct SARS-CoV-2 host cell entry pathways and reports the progression of entry as electrical signals. We focus on two necessary entry processes mediated by the viral Spike protein: virus binding and membrane fusion, which can be distinguished electrically. We find that closely related variants of concern exhibit distinct fusion signatures that correlate with trends in cell-based infectivity assays, allowing us to report quantitative differences in their fusion characteristics and hence their infectivity potentials. We use SARS-CoV-2 as our prototype, but we anticipate that this platform can extend to other enveloped viruses and cell lines to quantifiably assess virus entry.

Date: 2024
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DOI: 10.1038/s41467-024-49415-6

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