Massively multiplexed nucleic acid detection with Cas13

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

Research output: Contribution to journalArticlepeer-review

464 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)277-282
Number of pages6
Issue number7811
StatePublished - Jun 11 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

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