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Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes
Rapid, visual detection of pathogen nucleic acids has broad applications in infection management. Here we present a modular detection platform, termed enzyme-assisted nanocomplexes for visual identification of nucleic acids (enVision). The system consists of an integrated circuit of enzyme–DNA nanos...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089962/ https://www.ncbi.nlm.nih.gov/pubmed/30104566 http://dx.doi.org/10.1038/s41467-018-05733-0 |
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author | Ho, Nicholas R. Y. Lim, Geok Soon Sundah, Noah R. Lim, Diana Loh, Tze Ping Shao, Huilin |
author_facet | Ho, Nicholas R. Y. Lim, Geok Soon Sundah, Noah R. Lim, Diana Loh, Tze Ping Shao, Huilin |
author_sort | Ho, Nicholas R. Y. |
collection | PubMed |
description | Rapid, visual detection of pathogen nucleic acids has broad applications in infection management. Here we present a modular detection platform, termed enzyme-assisted nanocomplexes for visual identification of nucleic acids (enVision). The system consists of an integrated circuit of enzyme–DNA nanostructures, which function as independent recognition and signaling elements, for direct and versatile detection of pathogen nucleic acids from infected cells. The built-in enzymatic cascades produce a rapid color readout for the naked eye; the assay is thus fast (<2 h), sensitive (<10 amol), and readily quantified with smartphones. When implemented on a configurable microfluidic platform, the technology demonstrates superior programmability to perform versatile computations, for detecting diverse pathogen targets and their virus–host genome integration loci. We further design the enVision platform for molecular-typing of infections in patient endocervical samples. The technology not only improves the clinical inter-subtype differentiation, but also expands the intra-subtype coverage to identify previously undetectable infections. |
format | Online Article Text |
id | pubmed-6089962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60899622018-08-15 Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes Ho, Nicholas R. Y. Lim, Geok Soon Sundah, Noah R. Lim, Diana Loh, Tze Ping Shao, Huilin Nat Commun Article Rapid, visual detection of pathogen nucleic acids has broad applications in infection management. Here we present a modular detection platform, termed enzyme-assisted nanocomplexes for visual identification of nucleic acids (enVision). The system consists of an integrated circuit of enzyme–DNA nanostructures, which function as independent recognition and signaling elements, for direct and versatile detection of pathogen nucleic acids from infected cells. The built-in enzymatic cascades produce a rapid color readout for the naked eye; the assay is thus fast (<2 h), sensitive (<10 amol), and readily quantified with smartphones. When implemented on a configurable microfluidic platform, the technology demonstrates superior programmability to perform versatile computations, for detecting diverse pathogen targets and their virus–host genome integration loci. We further design the enVision platform for molecular-typing of infections in patient endocervical samples. The technology not only improves the clinical inter-subtype differentiation, but also expands the intra-subtype coverage to identify previously undetectable infections. Nature Publishing Group UK 2018-08-13 /pmc/articles/PMC6089962/ /pubmed/30104566 http://dx.doi.org/10.1038/s41467-018-05733-0 Text en © The Author(s) 2018 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/. |
spellingShingle | Article Ho, Nicholas R. Y. Lim, Geok Soon Sundah, Noah R. Lim, Diana Loh, Tze Ping Shao, Huilin Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes |
title | Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes |
title_full | Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes |
title_fullStr | Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes |
title_full_unstemmed | Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes |
title_short | Visual and modular detection of pathogen nucleic acids with enzyme–DNA molecular complexes |
title_sort | visual and modular detection of pathogen nucleic acids with enzyme–dna molecular complexes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089962/ https://www.ncbi.nlm.nih.gov/pubmed/30104566 http://dx.doi.org/10.1038/s41467-018-05733-0 |
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