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A CRISPR-enhanced metagenomic NGS test to improve pandemic preparedness.
Chan, Agnes P; Siddique, Azeem; Desplat, Yvain; Choi, Yongwook; Ranganathan, Sridhar; Choudhary, Kumari Sonal; Khalid, M Faizan; Diaz, Josh; Bezney, Jon; DeAscanis, Dante; George, Zenas; Wong, Shukmei; Selleck, William; Bowers, Jolene; Zismann, Victoria; Reining, Lauren; Highlander, Sarah; Brown, Keith; Armstrong, Jon R; Hakak, Yaron; Schork, Nicholas J.
Affiliation
  • Chan AP; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Siddique A; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Desplat Y; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Choi Y; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Ranganathan S; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Choudhary KS; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Khalid MF; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Diaz J; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Bezney J; Jumpcode Genomics, San Diego, CA 92121, USA.
  • DeAscanis D; Jumpcode Genomics, San Diego, CA 92121, USA.
  • George Z; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Wong S; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Selleck W; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Bowers J; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Zismann V; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Reining L; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Highlander S; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
  • Brown K; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Armstrong JR; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Hakak Y; Jumpcode Genomics, San Diego, CA 92121, USA.
  • Schork NJ; The Translational Genomics Research Institute (TGen), An Affiliate of the City of Hope National Medical Center, Phoenix, AZ 85004, USA.
Cell Rep Methods ; 3(5): 100463, 2023 05 22.
Article in En | MEDLINE | ID: mdl-37323571
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Cell Rep Methods Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Cell Rep Methods Year: 2023 Document type: Article Affiliation country: