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Simultaneous identification of viruses and SARS-CoV-2 variants with programmable DNA nanobait
Filip Boskovic; Jinbo Zhu; Ran Tivony; Alexander Ohmann; Kaikai Chen; Mohammed Alawami; Milan Djordjevic; Niklas Ermann; Joana Pereira Dias; Michael Fairhead; Mark Howarth; Stephen Baker; Ulrich Felix Keyser.
Afiliação
  • Filip Boskovic; University of Cambridge
  • Jinbo Zhu; University of Cambridge
  • Ran Tivony; University of Cambridge
  • Alexander Ohmann; University of Cambridge
  • Kaikai Chen; University of Cambridge
  • Mohammed Alawami; University of Cambridge
  • Milan Djordjevic; University of Cambridge
  • Niklas Ermann; University of Cambridge
  • Joana Pereira Dias; University of Cambridge
  • Michael Fairhead; University of Oxford
  • Mark Howarth; University of Oxford
  • Stephen Baker; University of Cambridge
  • Ulrich Felix Keyser; University of Cambridge
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21265890
ABSTRACT
Respiratory infections are the major cause of death from infectious disease worldwide. Multiplexed diagnostic approaches are essential as many respiratory viruses have indistinguishable symptoms. We created self-assembled DNA nanobait that can simultaneously identify multiple short RNA targets. The nanobait approach relies on specific target selection via toehold-mediated strand displacement and rapid read-out via nanopore sensing. Here, we show this platform can concurrently identify several common respiratory viruses, detecting a panel of short targets of viral nucleic acids from multiple viruses. Our nanobait can be easily reprogrammed to discriminate viral variants, as we demonstrated for several key SARS-CoV-2 variants with single-nucleotide resolution. Lastly, we show that nanobait discriminates between samples extracted from oropharyngeal swabs from negative and positive SARS-CoV-2 patients without pre-amplification. Our system allows for multiplexed identification of native RNA molecules, providing a new scalable approach for diagnostics of multiple respiratory viruses in a single assay.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint