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Simultaneous identification of viruses and viral variants with programmable DNA nanobait
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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020084/ https://www.ncbi.nlm.nih.gov/pubmed/36646828 http://dx.doi.org/10.1038/s41565-022-01287-x |
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author | Bošković, Filip Zhu, Jinbo Tivony, Ran Ohmann, Alexander Chen, Kaikai Alawami, Mohammed F. Đorđević, Milan Ermann, Niklas Pereira-Dias, Joana Fairhead, Michael Howarth, Mark Baker, Stephen Keyser, Ulrich F. |
author_facet | Bošković, Filip Zhu, Jinbo Tivony, Ran Ohmann, Alexander Chen, Kaikai Alawami, Mohammed F. Đorđević, Milan Ermann, Niklas Pereira-Dias, Joana Fairhead, Michael Howarth, Mark Baker, Stephen Keyser, Ulrich F. |
author_sort | Bošković, Filip |
collection | PubMed |
description | 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 readout via nanopore sensing. Here we show that 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 with single-nucleotide resolution, as we demonstrated for several key SARS-CoV-2 variants. Last, we show that the nanobait discriminates between samples extracted from oropharyngeal swabs from negative- and positive-SARS-CoV-2 patients without preamplification. Our system allows for the multiplexed identification of native RNA molecules, providing a new scalable approach for the diagnostics of multiple respiratory viruses in a single assay. |
format | Online Article Text |
id | pubmed-10020084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100200842023-03-18 Simultaneous identification of viruses and viral variants with programmable DNA nanobait Bošković, Filip Zhu, Jinbo Tivony, Ran Ohmann, Alexander Chen, Kaikai Alawami, Mohammed F. Đorđević, Milan Ermann, Niklas Pereira-Dias, Joana Fairhead, Michael Howarth, Mark Baker, Stephen Keyser, Ulrich F. Nat Nanotechnol Article 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 readout via nanopore sensing. Here we show that 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 with single-nucleotide resolution, as we demonstrated for several key SARS-CoV-2 variants. Last, we show that the nanobait discriminates between samples extracted from oropharyngeal swabs from negative- and positive-SARS-CoV-2 patients without preamplification. Our system allows for the multiplexed identification of native RNA molecules, providing a new scalable approach for the diagnostics of multiple respiratory viruses in a single assay. Nature Publishing Group UK 2023-01-16 2023 /pmc/articles/PMC10020084/ /pubmed/36646828 http://dx.doi.org/10.1038/s41565-022-01287-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bošković, Filip Zhu, Jinbo Tivony, Ran Ohmann, Alexander Chen, Kaikai Alawami, Mohammed F. Đorđević, Milan Ermann, Niklas Pereira-Dias, Joana Fairhead, Michael Howarth, Mark Baker, Stephen Keyser, Ulrich F. Simultaneous identification of viruses and viral variants with programmable DNA nanobait |
title | Simultaneous identification of viruses and viral variants with programmable DNA nanobait |
title_full | Simultaneous identification of viruses and viral variants with programmable DNA nanobait |
title_fullStr | Simultaneous identification of viruses and viral variants with programmable DNA nanobait |
title_full_unstemmed | Simultaneous identification of viruses and viral variants with programmable DNA nanobait |
title_short | Simultaneous identification of viruses and viral variants with programmable DNA nanobait |
title_sort | simultaneous identification of viruses and viral variants with programmable dna nanobait |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020084/ https://www.ncbi.nlm.nih.gov/pubmed/36646828 http://dx.doi.org/10.1038/s41565-022-01287-x |
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