Your browser doesn't support javascript.
A Sensitive, Rapid, and Portable CasRx-based Diagnostic Assay for SARS-CoV-2.
Brogan, Daniel J; Chaverra-Rodriguez, Duverney; Lin, Calvin P; Smidler, Andrea L; Yang, Ting; Alcantara, Lenissa M; Antoshechkin, Igor; Liu, Junru; Raban, Robyn R; Belda-Ferre, Pedro; Knight, Rob; Komives, Elizabeth A; Akbari, Omar S.
  • Brogan DJ; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093.
  • Chaverra-Rodriguez D; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093.
  • Lin CP; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92092.
  • Smidler AL; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093.
  • Yang T; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093.
  • Alcantara LM; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093.
  • Antoshechkin I; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Liu J; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093.
  • Raban RR; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093.
  • Belda-Ferre P; Department of Pediatrics, University of California San Diego, La Jolla, CA.
  • Knight R; Department of Pediatrics, University of California San Diego, La Jolla, CA.
  • Komives EA; Center for Microbiome Innovation, University of California San Diego, La Jolla, CA.
  • Akbari OS; Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA.
medRxiv ; 2020 Oct 20.
Article in English | MEDLINE | ID: covidwho-900759
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
Since its first emergence from China in late 2019, the SARS-CoV-2 virus has spread globally despite unprecedented containment efforts, resulting in a catastrophic worldwide pandemic. Successful identification and isolation of infected individuals can drastically curtail virus spread and limit outbreaks. However, during the early stages of global transmission, point-of-care diagnostics were largely unavailable and continue to remain difficult to procure, greatly inhibiting public health efforts to mitigate spread. Furthermore, the most prevalent testing kits rely on reagent- and time-intensive protocols to detect viral RNA, preventing rapid and cost-effective diagnosis. Therefore the development of an extensive toolkit for point-of-care diagnostics that is expeditiously adaptable to new emerging pathogens is of critical public health importance. Recently, a number of novel CRISPR-based diagnostics have been developed to detect COVID-19. Herein, we outline the development of a CRISPR-based nucleic acid molecular diagnostic utilizing a Cas13d ribonuclease derived from Ruminococcus flavefaciens (CasRx) to detect SARS-CoV-2, an approach we term SENSR (Sensitive Enzymatic Nucleic-acid Sequence Reporter). We demonstrate SENSR robustly detects SARS-CoV-2 sequences in both synthetic and patient-derived samples by lateral flow and fluorescence, thus expanding the available point-of-care diagnostics to combat current and future pandemics.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Year: 2020 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Year: 2020 Document Type: Article