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Functional Infectious Nanoparticle Detector: Finding Viruses by Detecting Their Host Entry Functions Using Organic Bioelectronic Devices.
Tang, Tiffany; Savva, Achilleas; Traberg, Walther C; Xu, Cheyan; Thiburce, Quentin; Liu, Han-Yuan; Pappa, Anna-Maria; Martinelli, Eleonora; Withers, Aimee; Cornelius, Mercedes; Salleo, Alberto; Owens, Róisín M; Daniel, Susan.
  • Tang T; Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Olin Hall, Ithaca, New York 14853, United States.
  • Savva A; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB30AS Cambridge, United Kingdom.
  • Traberg WC; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB30AS Cambridge, United Kingdom.
  • Xu C; Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Olin Hall, Ithaca, New York 14853, United States.
  • Thiburce Q; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, California 94305, United States.
  • Liu HY; Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Olin Hall, Ithaca, New York 14853, United States.
  • Pappa AM; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB30AS Cambridge, United Kingdom.
  • Martinelli E; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB30AS Cambridge, United Kingdom.
  • Withers A; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB30AS Cambridge, United Kingdom.
  • Cornelius M; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB30AS Cambridge, United Kingdom.
  • Salleo A; Department of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, California 94305, United States.
  • Owens RM; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB30AS Cambridge, United Kingdom.
  • Daniel S; Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Olin Hall, Ithaca, New York 14853, United States.
ACS Nano ; 2021 Oct 25.
Article in English | MEDLINE | ID: covidwho-1483086
ABSTRACT
Emerging viruses will continue to be a threat to human health and wellbeing into the foreseeable future. The COVID-19 pandemic revealed the necessity for rapid viral sensing and inhibitor screening in mitigating viral spread and impact. Here, we present a platform that uses a label-free electronic readout as well as a dual capability of optical (fluorescence) readout to sense the ability of a virus to bind and fuse with a host cell membrane, thereby sensing viral entry. This approach introduces a hitherto unseen level of specificity by distinguishing fusion-competent viruses from fusion-incompetent viruses. The ability to discern between competent and incompetent viruses means that this device could also be used for applications beyond detection, such as screening antiviral compounds for their ability to block virus entry mechanisms. Using optical means, we first demonstrate the ability to recapitulate the entry processes of influenza virus using a biomembrane containing the viral receptor that has been functionalized on a transparent organic bioelectronic device. Next, we detect virus membrane fusion, using the same, label-free devices. Using both reconstituted and native cell membranes as materials to functionalize organic bioelectronic devices, configured as electrodes and transistors, we measure changes in membrane properties when virus fusion is triggered by a pH drop, inducing hemagglutinin to undergo a conformational change that leads to membrane fusion.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Year: 2021 Document Type: Article Affiliation country: Acsnano.1c06813

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Year: 2021 Document Type: Article Affiliation country: Acsnano.1c06813