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1.
Nat Med ; 28(5): 1083-1094, 2022 05.
Artículo en Inglés | MEDLINE | ID: covidwho-1671607

RESUMEN

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.


Asunto(s)
COVID-19 , Gripe Humana , COVID-19/diagnóstico , Humanos , Microfluídica , SARS-CoV-2/genética
2.
Nature ; 582(7811): 277-282, 2020 06.
Artículo en Inglés | MEDLINE | ID: covidwho-980299

RESUMEN

The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples1-3 while simultaneously testing for many pathogens4-6. Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents7 self-organize in a microwell array8 to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN-Cas13) enables robust testing of more than 4,500 crRNA-target pairs on a single array. Using CARMEN-Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN-Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health9-11.


Asunto(s)
Proteínas Asociadas a CRISPR/metabolismo , Sistemas CRISPR-Cas/genética , Técnicas Analíticas Microfluídicas/métodos , Virosis/diagnóstico , Virosis/virología , Animales , Betacoronavirus/genética , Betacoronavirus/aislamiento & purificación , Farmacorresistencia Viral/genética , Genoma Viral/genética , VIH/clasificación , VIH/genética , VIH/aislamiento & purificación , Humanos , Virus de la Influenza A/clasificación , Virus de la Influenza A/genética , Virus de la Influenza A/aislamiento & purificación , Técnicas Analíticas Microfluídicas/instrumentación , ARN Guía de Kinetoplastida/genética , SARS-CoV-2 , Sensibilidad y Especificidad
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