Ontology highlight
ABSTRACT:
SUBMITTER: Arizti-Sanz J
PROVIDER: S-EPMC7680145 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Arizti-Sanz Jon J Freije Catherine A CA Stanton Alexandra C AC Petros Brittany A BA Boehm Chloe K CK Siddiqui Sameed S Shaw Bennett M BM Adams Gordon G Kosoko-Thoroddsen Tinna-Solveig F TF Kemball Molly E ME Uwanibe Jessica N JN Ajogbasile Fehintola V FV Eromon Philomena E PE Gross Robin R Wronka Loni L Caviness Katie K Hensley Lisa E LE Bergman Nicholas H NH MacInnis Bronwyn L BL Happi Christian T CT Lemieux Jacob E JE Sabeti Pardis C PC Myhrvold Cameron C
Nature communications 20201120 1
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 ...[more]