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Cited by 261

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

FLASH: a next-generation CRISPR diagnostic for multiplexed detection of antimicrobial resistance sequences

Open access
Quan, Jenai, Langelier, Charles, Kuchta, Alison, Batson, Joshua, Teyssier, Noam, Lyden, Amy, Caldera, Saharai, McGeever, Aaron, Dimitrov, Boris, King, Ryan, Wilheim, Jordan, Murphy, Maxwell, Ares, Lara Pesce, Travisano, Katherine A, Sit, Rene, Amato, Roberto, Mumbengegwi, Davis R, Smith, Jennifer L, Bennett, Adam, Gosling, Roly, Mourani, Peter M, Calfee, Carolyn S, Neff, Norma F, Chow, Eric D, Kim, Peter S, Greenhouse, Bryan, DeRisi, Joseph L, Crawford, Emily D·2019·Nucleic Acids Research
DOI 10.1093/nar/gkz418

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Abstract

The growing prevalence of deadly microbes with resistance to previously life-saving drug therapies is a dire threat to human health. Detection of low abundance pathogen sequences remains a challenge for metagenomic Next Generation Sequencing (NGS). We introduce FLASH (Finding Low Abundance Sequences by Hybridization), a next-generation CRISPR/Cas9 diagnostic method that takes advantage of the efficiency, specificity and flexibility of Cas9 to enrich for a programmed set of sequences. FLASH-NGS achieves up to 5 orders of magnitude of enrichment and sub-attomolar gene detection with minimal background. We provide an open-source software tool (FLASHit) for guide RNA design. Here we applied it to detection of antimicrobial resistance genes in respiratory fluid and dried blood spots, but FLASH-NGS is applicable to all areas that rely on multiplex PCR.

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Cites

Show all 9 references

Research works printed but not linked: 26

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Cited by

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Metadata

Authors
Quan, J., Langelier, C., Kuchta, A., Batson, J., Teyssier, N., Lyden, A., Caldera, S., McGeever, A., Dimitrov, B., King, R., Wilheim, J., Murphy, M., Ares, L. P., Travisano, K. A., Sit, R., Amato, R., Mumbengegwi, D. R., Smith, J. L., Bennett, A., Gosling, R., Mourani, P. M., Calfee, C. S., Neff, N. F., Chow, E. D., Kim, P. S., Greenhouse, B., DeRisi, J. L., & Crawford, E. D.
Venue
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Published
2019-05-22
Volume
47
Issue
14
Pages
e83-e83
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
DOI
10.1093/nar/gkz418
OpenAlex
W2952835014
Cited by
261
References
9
FWCI
9.02
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • University of California San Francisco (C27552C-01-135119)
  • National Institutes of Health (NHLBI K23HL138461-01A1, NIGMS 5T32GM007546, NHLBI 5R01HL124103, NHLBI R01HL110969, K24HL133390, R35HL140026)

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CoChat. (2026). Citation check: FLASH: a next-generation CRISPR diagnostic for multiplexed detection of antimicrobial resistance sequences. https://app.cochat.ai/papers/10.1093/nar/gkz418
The paper
Quan, J., Langelier, C., Kuchta, A., Batson, J., Teyssier, N., Lyden, A., Caldera, S., McGeever, A., Dimitrov, B., King, R., Wilheim, J., Murphy, M., Ares, L. P., Travisano, K. A., Sit, R., Amato, R., Mumbengegwi, D. R., Smith, J. L., Bennett, A., . . . Crawford, E. D. (2019). FLASH: a next-generation CRISPR diagnostic for multiplexed detection of antimicrobial resistance sequences. Nucleic Acids Research. https://doi.org/10.1093/nar/gkz418

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.