The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants
Open accessAbstract
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.
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Cites
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209
Virological assessment of hospitalized patients with COVID-2019
Wölfel, R., Corman, V. M., Guggemos, W., Seilmaier, M., Zange, S., Müller, M. A., Niemeyer, D., Jones, T. C., Vollmar, P., Rothe, C., et al. (2020) · Nature · doi:10.1038/s41586-020-2196-x · Cited by 6,661 · cited 2×
“An ideal diagnostic method would have surveillance capabilities to process hundreds of patient samples simultaneously, detect multiple viruses, differentiate between viral variants and quantify viral load 8,9 ; yet no such test currently exists.”
SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients
Zou, L., Ruan, F., Huang, M., Liang, L., Huang, H., Hong, Z., Yu, J., Kang, M., Song, Y., Xia, J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001737 · Cited by 4,810
CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity
Chen, J. S., Ma, E., Harrington, L. B., Da Costa, M., Tian, X., Palefsky, J. M., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aar6245 · Cited by 4,507
Nucleic acid detection with CRISPR-Cas13a/C2c2
Gootenberg, J. S., Abudayyeh, O. O., Lee, J. W., Essletzbichler, P., Dy, A. J., Joung, J., Verdine, V., Donghia, N., Daringer, N. M., Freije, C. A., et al. (2017) · Science · doi:10.1126/science.aam9321 · Cited by 3,844
Self-citationSARS-CoV-2 variants, spike mutations and immune escape
Harvey, W. T., Carabelli, A. M., Jackson, B., Gupta, R. K., Thomson, E. C., Harrison, E. M., Ludden, C., Reeve, R., Rambaut, A., COVID-19 Genomics UK (COG-UK) Consortium, et al. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00573-0 · Cited by 3,528 · cited 3×
“…are not well positioned to identify mutations—single-nucleotide polymorphisms (SNPs), insertions or deletions—carried in SARS-CoV-2 variant lineages 6,17,18 , we wanted to develop a single platform with both diagnostic and surveillance capabilities for comprehensive detection of 26 SARS-CoV-2…”
CRISPR–Cas12-based detection of SARS-CoV-2
Broughton, J. P., Deng, X., Yu, G., Fasching, C. L., Servellita, V., Singh, J., Miao, X., Streithorst, J. A., Granados, A., Sotomayor-Gonzalez, A., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0513-4 · Cited by 2,717
Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a, and Csm6
Gootenberg, J. S., Abudayyeh, O. O., Kellner, M. J., Joung, J., Collins, J. J., & Zhang, F. (2018) · Science · doi:10.1126/science.aaq0179 · Cited by 2,638
C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector
Abudayyeh, O. O., Gootenberg, J. S., Konermann, S., Joung, J., Slaymaker, I. M., Cox, D. B. T., Shmakov, S., Makarova, K. S., Semenova, E., Minakhin, L., et al. (2016) · Science · doi:10.1126/science.aaf5573 · Cited by 2,336
CRISPR-Cas12a-assisted nucleic acid detection
Li, S.-Y., Cheng, Q.-X., Wang, J.-M., Li, X.-Y., Zhang, Z.-L., Gao, S., Cao, R.-B., Zhao, G.-P., & Wang, J. (2018) · Cell Discovery · doi:10.1038/s41421-018-0028-z · Cited by 1,530
Cited by
(2023) · doi:10.1016/j.xcrm.2023.101037 · Cited by 75
Metadata
- Authors
- Welch, N. L., Zhu, M., Hua, C., Weller, J., Mirhashemi, M. E., Nguyen, T. G., Mantena, S., Bauer, M. R., Shaw, B. M., Ackerman, C. M., Thakku, S. G., Tse, M. W., Kehe, J., Uwera, M.-M., Eversley, J. S., Bielwaski, D. A., McGrath, G., Braidt, J., Johnson, J., Cerrato, F., Moreno, G. K., Krasilnikova, L. A., Petros, B. A., Gionet, G. L., King, E., Huard, R. C., Jalbert, S. K., Cleary, M. L., Fitzgerald, N. A., Gabriel, S. B., Gallagher, G. R., Smole, S. C., Madoff, L. C., Brown, C. M., Keller, M. W., Wilson, M. M., Kirby, M. K., Barnes, J. R., Park, D. J., Siddle, K. J., Happi, C. T., Hung, D. T., Springer, M., MacInnis, B. L., Lemieux, J. E., Rosenberg, E., Branda, J. A., Blainey, P. C., Sabeti, P. C., & Myhrvold, C.
- Venue
- Nature Medicine
- Published
- 2022-02-07
- Volume
- 28
- Issue
- 5
- Pages
- 1083-1094
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W4210752017
- Cited by
- 304
- References
- 52
- FWCI
- 28.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Welch, N. L., Zhu, M., Hua, C., Weller, J., Mirhashemi, M. E., Nguyen, T. G., Mantena, S., Bauer, M. R., Shaw, B. M., Ackerman, C. M., Thakku, S. G., Tse, M. W., Kehe, J., Uwera, M.-M., Eversley, J. S., Bielwaski, D. A., McGrath, G., Braidt, J., Johnson, J., . . . Myhrvold, C. (2022). Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants. Nature Medicine. https://doi.org/10.1038/s41591-022-01734-1
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