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Massively multiplexed nucleic acid detection using Cas13

Authors :
Broad Institute of MIT and Harvard
Massachusetts Institute of Technology. Department of Biological Engineering
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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.
Broad Institute of MIT and Harvard
Massachusetts Institute of Technology. Department of Biological Engineering
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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.
Source :
Nature
Publication Year :
2020

Abstract

The overwhelming 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 while simultaneously testing for many pathogens. Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanoliter droplets containing CRISPR-based nucleic acid detection reagents self-organize in a microwell array 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 >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 ≥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. CARMEN’s intrinsic multiplexing and throughput capabilities make it practical to scale, as miniaturization decreases reagent cost per test >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. ©2020

Details

Database :
OAIster
Journal :
Nature
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1155490141
Document Type :
Electronic Resource