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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...

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Autores principales: Ho, Nicholas R. Y., Lim, Geok Soon, Sundah, Noah R., Lim, Diana, Loh, Tze Ping, Shao, Huilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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