Streamlined inactivation, amplification, and Cas13-based detection of SARS-CoV-2
Broad Institute · Harvard–MIT Division of Health Sciences and Technology · +11 more institutions
Abstract
The COVID-19 pandemic has highlighted that new diagnostic technologies are essential for controlling disease transmission. Here, we develop SHINE (Streamlined Highlighting of Infections to Navigate Epidemics), a sensitive and specific diagnostic tool that can detect SARS-CoV-2 RNA from unextracted samples. We identify the optimal conditions to allow RPA-based amplification and Cas13-based detection to occur in a single step, simplifying assay preparation and reducing run-time. We improve HUDSON to rapidly inactivate viruses in nasopharyngeal swabs and saliva in 10 min. SHINE's results can be visualized with an in-tube fluorescent readout - reducing contamination risk as amplification reaction tubes remain…
Citation impact
- FWCI
- 7.80
- Percentile
- 100%
- References
- 41
Authors
23- JAJon Arizti-SanzCorresponding
Broad Institute, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology
- CACatherine A. Freije
Broad Institute, Harvard University, Massachusetts Institute of Technology
- ACAlexandra C. Stanton
Broad Institute, Harvard University, Massachusetts Institute of Technology
- BABrittany A. Petros
Broad Institute, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology
- CKChloe K. Boehm
Broad Institute, Massachusetts Institute of Technology
Topics & keywords
- Coronavirus disease 2019 (COVID-19)
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Transmission (telecommunications)
- Pandemic
- 2019-20 coronavirus outbreak
- Saliva
- Virology
- Computer science
- Good health and well-being
Funding
- UDU.S. Department of Defense
- UDU.S. Department of Homeland SecurityAward: HSHQDC-15-C-00064
- BBattelle
- HUHarvard University
- OPOpen Philanthropy Project
- FBFundación Bancaria Caixa d'Estalvis i Pensions de BarcelonaAwards: ID 100010434, 100010434
- NINational Institutes of HealthAwards: 100010434, T32GM007753
- DADefense Advanced Research Projects AgencyAward: D18AC00006
- NINational Institute of General Medical SciencesAward: T32GM007753