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FLASH: a next-generation CRISPR diagnostic for multiplexed detection of antimicrobial resistance sequences
- 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
- et al.
Published Web Location
https://doi.org/10.1093/nar/gkz418Abstract
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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