Massively multiplexed nucleic acid detection with Cas13

被引:0
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作者
Cheri M. Ackerman
Cameron Myhrvold
Sri Gowtham Thakku
Catherine A. Freije
Hayden C. Metsky
David K. Yang
Simon H. Ye
Chloe K. Boehm
Tinna-Sólveig F. Kosoko-Thoroddsen
Jared Kehe
Tien G. Nguyen
Amber Carter
Anthony Kulesa
John R. Barnes
Vivien G. Dugan
Deborah T. Hung
Paul C. Blainey
Pardis C. Sabeti
机构
[1] Broad Institute of Massachusetts Institute of Technology and Harvard,Department of Organismic and Evolutionary Biology
[2] Department of Biological Engineering,Division of Health Sciences and Technology
[3] MIT,Ph.D. Program in Virology, Division of Medical Sciences
[4] Harvard University,Influenza Division
[5] Harvard Medical School and MIT,Molecular Biology Department and Center for Computational and Integrative Biology
[6] Harvard Medical School,Department of Immunology and Infectious Disease
[7] Department of Electrical Engineering and Computer Science,undefined
[8] MIT,undefined
[9] Centers for Disease Control and Prevention,undefined
[10] Massachusetts General Hospital,undefined
[11] Koch Institute for Integrative Cancer Research at MIT,undefined
[12] Howard Hughes Medical Institute,undefined
[13] Harvard T.H. Chan School of Public Health,undefined
来源
Nature | 2020年 / 582卷
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摘要
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 samples1–3 while simultaneously testing for many pathogens4–6. 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 reagents7 self-organize in a microwell array8 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 health9–11.
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页码:277 / 282
页数:5
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