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A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers

There is a need for large-scale, longitudinal studies to determine the mechanisms by which the gut microbiome and its interactions with the host affect human health and disease. Current methods for profiling the microbiome typically utilize next-generation sequencing applications that are expensive,...

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Autores principales: Takahashi, Melissa K., Tan, Xiao, Dy, Aaron J., Braff, Dana, Akana, Reid T., Furuta, Yoshikazu, Donghia, Nina, Ananthakrishnan, Ashwin, Collins, James J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104080/
https://www.ncbi.nlm.nih.gov/pubmed/30131493
http://dx.doi.org/10.1038/s41467-018-05864-4
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author Takahashi, Melissa K.
Tan, Xiao
Dy, Aaron J.
Braff, Dana
Akana, Reid T.
Furuta, Yoshikazu
Donghia, Nina
Ananthakrishnan, Ashwin
Collins, James J.
author_facet Takahashi, Melissa K.
Tan, Xiao
Dy, Aaron J.
Braff, Dana
Akana, Reid T.
Furuta, Yoshikazu
Donghia, Nina
Ananthakrishnan, Ashwin
Collins, James J.
author_sort Takahashi, Melissa K.
collection PubMed
description There is a need for large-scale, longitudinal studies to determine the mechanisms by which the gut microbiome and its interactions with the host affect human health and disease. Current methods for profiling the microbiome typically utilize next-generation sequencing applications that are expensive, slow, and complex. Here, we present a synthetic biology platform for affordable, on-demand, and simple analysis of microbiome samples using RNA toehold switch sensors in paper-based, cell-free reactions. We demonstrate species-specific detection of mRNAs from 10 different bacteria that affect human health and four clinically relevant host biomarkers. We develop a method to quantify mRNA using our toehold sensors and validate our platform on clinical stool samples by comparison to RT-qPCR. We further highlight the potential clinical utility of the platform by showing that it can be used to rapidly and inexpensively detect toxin mRNA in the diagnosis of Clostridium difficile infections.
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spelling pubmed-61040802018-08-23 A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers Takahashi, Melissa K. Tan, Xiao Dy, Aaron J. Braff, Dana Akana, Reid T. Furuta, Yoshikazu Donghia, Nina Ananthakrishnan, Ashwin Collins, James J. Nat Commun Article There is a need for large-scale, longitudinal studies to determine the mechanisms by which the gut microbiome and its interactions with the host affect human health and disease. Current methods for profiling the microbiome typically utilize next-generation sequencing applications that are expensive, slow, and complex. Here, we present a synthetic biology platform for affordable, on-demand, and simple analysis of microbiome samples using RNA toehold switch sensors in paper-based, cell-free reactions. We demonstrate species-specific detection of mRNAs from 10 different bacteria that affect human health and four clinically relevant host biomarkers. We develop a method to quantify mRNA using our toehold sensors and validate our platform on clinical stool samples by comparison to RT-qPCR. We further highlight the potential clinical utility of the platform by showing that it can be used to rapidly and inexpensively detect toxin mRNA in the diagnosis of Clostridium difficile infections. Nature Publishing Group UK 2018-08-21 /pmc/articles/PMC6104080/ /pubmed/30131493 http://dx.doi.org/10.1038/s41467-018-05864-4 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
Takahashi, Melissa K.
Tan, Xiao
Dy, Aaron J.
Braff, Dana
Akana, Reid T.
Furuta, Yoshikazu
Donghia, Nina
Ananthakrishnan, Ashwin
Collins, James J.
A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
title A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
title_full A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
title_fullStr A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
title_full_unstemmed A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
title_short A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
title_sort low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104080/
https://www.ncbi.nlm.nih.gov/pubmed/30131493
http://dx.doi.org/10.1038/s41467-018-05864-4
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