Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants

Nicole L. Welch, Meilin Zhu, Catherine Hua, Juliane Weller, Marzieh Ezzaty Mirhashemi, Tien G. Nguyen, Sreekar Mantena, Matthew R. Bauer, Bennett M. Shaw, Cheri M. Ackerman, Sri Gowtham Thakku, Megan W. Tse, Jared Kehe, Marie Martine Uwera, Jacqueline S. Eversley, Derek A. Bielwaski, Graham McGrath, Joseph Braidt, Jeremy Johnson, Felecia CerratoGage K. Moreno, Lydia A. Krasilnikova, Brittany A. Petros, Gabrielle L. Gionet, Ewa King, Richard C. Huard, Samantha K. Jalbert, Michael L. Cleary, Nicholas A. Fitzgerald, Stacey B. Gabriel, Glen R. Gallagher, Sandra C. Smole, Lawrence C. Madoff, Catherine M. Brown, Matthew W. Keller, Malania M. Wilson, Marie K. Kirby, John R. Barnes, Daniel J. Park, Katherine J. Siddle, Christian T. Happi, Deborah T. Hung, Michael Springer, Bronwyn L. MacInnis, Jacob E. Lemieux, Eric Rosenberg, John A. Branda, Paul C. Blainey, Pardis C. Sabeti, Cameron Myhrvold

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has demonstrated a clear need for high-throughput, multiplexed and sensitive assays for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other respiratory viruses and their emerging variants. Here, we present a cost-effective virus and variant detection platform, called microfluidic Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (mCARMEN), which combines CRISPR-based diagnostics and microfluidics with a streamlined workflow for clinical use. We developed the mCARMEN respiratory virus panel to test for up to 21 viruses, including SARS-CoV-2, other coronaviruses and both influenza strains, and demonstrated its diagnostic-grade performance on 525 patient specimens in an academic setting and 166 specimens in a clinical setting. We further developed an mCARMEN panel to enable the identification of 6 SARS-CoV-2 variant lineages, including Delta and Omicron, and evaluated it on 2,088 patient specimens with near-perfect concordance to sequencing-based variant classification. Lastly, we implemented a combined Cas13 and Cas12 approach that enables quantitative measurement of SARS-CoV-2 and influenza A viral copies in samples. The mCARMEN platform enables high-throughput surveillance of multiple viruses and variants simultaneously, enabling rapid detection of SARS-CoV-2 variants.

Original languageEnglish (US)
Pages (from-to)1083-1094
Number of pages12
JournalNature Medicine
Volume28
Issue number5
DOIs
StatePublished - May 2022

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

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