Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants

Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants

The COVID-19 pandemic highlights the need for diagnostics that can be rapidly adapted and deployed in a variety of settings. Several SARS-CoV-2 variants have shown worrisome effects on vaccine and treatment efficacy, but no current point-of-care (POC) testing modality allows their specific identific...

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Main Authors: de Puig, Helena (Author), Lee, Rose A. (Author), Najjar, Devora (Author), Tan, Xiao (Author), Soekensen, Luis R. (Author), Angenent-Mari, Nicolaas M. (Author), Donghia, Nina M. (Author), Weckman, Nicole E. (Author), Ory, Audrey (Author), Ng, Carlos F. (Author), Nguyen, Peter Q. (Author), Mao, Angelo S. (Author), Ferrante, Thomas C. (Author), Lansberry, Geoffrey (Author), Sallum, Hani (Author), Niemi, James (Author), Collins, James J. (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Abdul Latif Jameel Clinic for Machine Learning in Health (Contributor), Massachusetts Institute of Technology. Synthetic Biology Center (Contributor), Harvard-MIT Program in Health Sciences and Technology (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor)
Format: Article
Language:English
Published: American Association for the Advancement of Science, 2021-08-10T21:36:34Z.
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