FLASH: a next-generation CRISPR diagnostic for multiplexed detection of antimicrobial resistance sequences
Year: 2019
Type: article
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.
Source: Nucleic Acids Research
DOI: 10.1093/nar/gkz418
Authors: Jenai Quan, Charles Langelier, Alison Kuchta, Joshua Batson, Noam Teyssier, Amy Lyden, Saharai Caldera, Aaron McGeever, Boris Dimitrov, Ryan King, Jordan Wilheim, Maxwell Murphy, Lara Pesce Ares, Katherine A Travisano, Rene Sit, Roberto Amato, Davis R Mumbengegwi, Jennifer L Smith, Adam Bennett, Roly Gosling, Peter M Mourani, Carolyn S Calfee, Norma F Neff, Eric D Chow, Peter S Kim, Bryan Greenhouse, Joseph L DeRisi, Emily D Crawford
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,992
Awards: ARDS Endotypes: Expanded Analysis of Clinical and Biological Phenotypes and Evolution Over Time, Resource centre for genomic epidemiology of malaria., The Microbiome, Virome and Host Responses Preceding Ventilator-Associated Pneumon, Precision Medicine in the Acute Respiratory Distress Syndrome, G7595298251, Cigarette Smoke Exposure and Acute Lung Injury After Severe Blunt Trauma, Wellcome Trust Sanger Institute - generic account for deposition of all core- funded research papers, Profiling the Lung Transcriptome for Precision Diagnosis of Respiratory Infections using Host/Pathogen Metagenomic Sequencing, Clinical Pharmacology, Drug Action and Pharmacogenetics
OpenAlex ID: W2952835014
