A CRISPR-enhanced metagenomic NGS test to improve pandemic preparedness

CRISPR 增强型宏基因组 NGS 测试可提高大流行防范能力

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作者:Agnes P Chan, Azeem Siddique, Yvain Desplat, Yongwook Choi, Sridhar Ranganathan, Kumari Sonal Choudhary, M Faizan Khalid, Josh Diaz, Jon Bezney, Dante DeAscanis, Zenas George, Shukmei Wong, William Selleck, Jolene Bowers, Victoria Zismann, Lauren Reining, Sarah Highlander, Keith Brown, Jon R Armstro

Abstract

The lack of preparedness for detecting and responding to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen (i.e., COVID-19) has caused enormous harm to public health and the economy. Testing strategies deployed on a population scale at day zero, i.e., the time of the first reported case, would be of significant value. Next-generation sequencing (NGS) has such capabilities; however, it has limited detection sensitivity for low-copy-number pathogens. Here, we leverage the CRISPR-Cas9 system to effectively remove abundant sequences not contributing to pathogen detection and show that NGS detection sensitivity of SARS-CoV-2 approaches that of RT-qPCR. The resulting sequence data can also be used for variant strain typing, co-infection detection, and individual human host response assessment, all in a single molecular and analysis workflow. This NGS work flow is pathogen agnostic and, therefore, has the potential to transform how large-scale pandemic response and focused clinical infectious disease testing are pursued in the future.

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