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Massively multiplexed nucleic acid detection with Cas13

The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples(1–3)...

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Autores principales: Ackerman, Cheri M., Myhrvold, Cameron, Thakku, Sri Gowtham, Freije, Catherine A., Metsky, Hayden C., Yang, David K., Ye, Simon H., Boehm, Chloe K., Kosoko-Thoroddsen, Tinna-Sólveig F., Kehe, Jared, Nguyen, Tien G., Carter, Amber, Kulesa, Anthony, Barnes, John R., Dugan, Vivien G., Hung, Deborah T., Blainey, Paul C., Sabeti, Pardis C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332423/
https://www.ncbi.nlm.nih.gov/pubmed/32349121
http://dx.doi.org/10.1038/s41586-020-2279-8
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author Ackerman, Cheri M.
Myhrvold, Cameron
Thakku, Sri Gowtham
Freije, Catherine A.
Metsky, Hayden C.
Yang, David K.
Ye, Simon H.
Boehm, Chloe K.
Kosoko-Thoroddsen, Tinna-Sólveig F.
Kehe, Jared
Nguyen, Tien G.
Carter, Amber
Kulesa, Anthony
Barnes, John R.
Dugan, Vivien G.
Hung, Deborah T.
Blainey, Paul C.
Sabeti, Pardis C.
author_facet Ackerman, Cheri M.
Myhrvold, Cameron
Thakku, Sri Gowtham
Freije, Catherine A.
Metsky, Hayden C.
Yang, David K.
Ye, Simon H.
Boehm, Chloe K.
Kosoko-Thoroddsen, Tinna-Sólveig F.
Kehe, Jared
Nguyen, Tien G.
Carter, Amber
Kulesa, Anthony
Barnes, John R.
Dugan, Vivien G.
Hung, Deborah T.
Blainey, Paul C.
Sabeti, Pardis C.
author_sort Ackerman, Cheri M.
collection PubMed
description The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples(1–3) while simultaneously testing for many pathogens(4–6). Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents(7) self-organize in a microwell array(8) to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN–Cas13) enables robust testing of more than 4,500 crRNA–target pairs on a single array. Using CARMEN–Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN–Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health(9–11).
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spelling pubmed-73324232020-07-15 Massively multiplexed nucleic acid detection with Cas13 Ackerman, Cheri M. Myhrvold, Cameron Thakku, Sri Gowtham Freije, Catherine A. Metsky, Hayden C. Yang, David K. Ye, Simon H. Boehm, Chloe K. Kosoko-Thoroddsen, Tinna-Sólveig F. Kehe, Jared Nguyen, Tien G. Carter, Amber Kulesa, Anthony Barnes, John R. Dugan, Vivien G. Hung, Deborah T. Blainey, Paul C. Sabeti, Pardis C. Nature Article The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples(1–3) while simultaneously testing for many pathogens(4–6). Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents(7) self-organize in a microwell array(8) to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN–Cas13) enables robust testing of more than 4,500 crRNA–target pairs on a single array. Using CARMEN–Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN–Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health(9–11). Nature Publishing Group UK 2020-04-29 2020 /pmc/articles/PMC7332423/ /pubmed/32349121 http://dx.doi.org/10.1038/s41586-020-2279-8 Text en © The Author(s) 2020 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
Ackerman, Cheri M.
Myhrvold, Cameron
Thakku, Sri Gowtham
Freije, Catherine A.
Metsky, Hayden C.
Yang, David K.
Ye, Simon H.
Boehm, Chloe K.
Kosoko-Thoroddsen, Tinna-Sólveig F.
Kehe, Jared
Nguyen, Tien G.
Carter, Amber
Kulesa, Anthony
Barnes, John R.
Dugan, Vivien G.
Hung, Deborah T.
Blainey, Paul C.
Sabeti, Pardis C.
Massively multiplexed nucleic acid detection with Cas13
title Massively multiplexed nucleic acid detection with Cas13
title_full Massively multiplexed nucleic acid detection with Cas13
title_fullStr Massively multiplexed nucleic acid detection with Cas13
title_full_unstemmed Massively multiplexed nucleic acid detection with Cas13
title_short Massively multiplexed nucleic acid detection with Cas13
title_sort massively multiplexed nucleic acid detection with cas13
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332423/
https://www.ncbi.nlm.nih.gov/pubmed/32349121
http://dx.doi.org/10.1038/s41586-020-2279-8
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