Nature Communications (Aug 2020)

Deployable CRISPR-Cas13a diagnostic tools to detect and report Ebola and Lassa virus cases in real-time

  • Kayla G. Barnes,
  • Anna E. Lachenauer,
  • Adam Nitido,
  • Sameed Siddiqui,
  • Robin Gross,
  • Brett Beitzel,
  • Katherine J. Siddle,
  • Catherine A. Freije,
  • Bonnie Dighero-Kemp,
  • Samar B. Mehta,
  • Amber Carter,
  • Jessica Uwanibe,
  • Fehintola Ajogbasile,
  • Testimony Olumade,
  • Ikponmwosa Odia,
  • John Demby Sandi,
  • Mambu Momoh,
  • Hayden C. Metsky,
  • Chloe K. Boehm,
  • Aaron E. Lin,
  • Molly Kemball,
  • Daniel J. Park,
  • Luis Branco,
  • Matt Boisen,
  • Brian Sullivan,
  • Mihret F. Amare,
  • Abdulwasiu B. Tiamiyu,
  • Zahra F. Parker,
  • Michael Iroezindu,
  • Donald S. Grant,
  • Kayvon Modjarrad,
  • Cameron Myhrvold,
  • Robert F. Garry,
  • Gustavo Palacios,
  • Lisa E. Hensley,
  • Stephen F. Schaffner,
  • Christian T. Happi,
  • Andres Colubri,
  • Pardis C. Sabeti

DOI
https://doi.org/10.1038/s41467-020-17994-9
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 10

Abstract

Read online

Outbreaks of viral hemorrhagic fevers highlight the need for sensitive, field-deployable diagnostics. Here the authors present a CRISPR-based SHERLOCK platform with field protocol and mobile app for Ebola and Lassa fever outbreaks.