Cargando…
A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material
The COVID-19 pandemic has created massive demand for widespread, distributed tools for detecting SARS-CoV-2 genetic material. The hurdles to scalable testing include reagent and instrument accessibility, availability of highly trained personnel, and large upfront investment. Here, we showcase an ort...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092748/ https://www.ncbi.nlm.nih.gov/pubmed/33478979 http://dx.doi.org/10.1128/JCM.02402-20 |
_version_ | 1783687685637931008 |
---|---|
author | Rauch, Jennifer N. Valois, Eric Solley, Sabrina C. Braig, Friederike Lach, Ryan S. Audouard, Morgane Ponce-Rojas, Jose Carlos Costello, Michael S. Baxter, Naomi J. Kosik, Kenneth S. Arias, Carolina Acosta-Alvear, Diego Wilson, Maxwell Z. |
author_facet | Rauch, Jennifer N. Valois, Eric Solley, Sabrina C. Braig, Friederike Lach, Ryan S. Audouard, Morgane Ponce-Rojas, Jose Carlos Costello, Michael S. Baxter, Naomi J. Kosik, Kenneth S. Arias, Carolina Acosta-Alvear, Diego Wilson, Maxwell Z. |
author_sort | Rauch, Jennifer N. |
collection | PubMed |
description | The COVID-19 pandemic has created massive demand for widespread, distributed tools for detecting SARS-CoV-2 genetic material. The hurdles to scalable testing include reagent and instrument accessibility, availability of highly trained personnel, and large upfront investment. Here, we showcase an orthogonal pipeline we call CREST (Cas13-based, rugged, equitable, scalable testing) that addresses some of these hurdles. Specifically, CREST pairs commonplace and reliable biochemical methods (PCR) with low-cost instrumentation, without sacrificing detection sensitivity. By taking advantage of simple fluorescence visualizers, CREST allows a binary interpretation of results. CREST may provide a point-of-care solution to increase the distribution of COVID-19 surveillance. |
format | Online Article Text |
id | pubmed-8092748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-80927482021-05-21 A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material Rauch, Jennifer N. Valois, Eric Solley, Sabrina C. Braig, Friederike Lach, Ryan S. Audouard, Morgane Ponce-Rojas, Jose Carlos Costello, Michael S. Baxter, Naomi J. Kosik, Kenneth S. Arias, Carolina Acosta-Alvear, Diego Wilson, Maxwell Z. J Clin Microbiol Virology The COVID-19 pandemic has created massive demand for widespread, distributed tools for detecting SARS-CoV-2 genetic material. The hurdles to scalable testing include reagent and instrument accessibility, availability of highly trained personnel, and large upfront investment. Here, we showcase an orthogonal pipeline we call CREST (Cas13-based, rugged, equitable, scalable testing) that addresses some of these hurdles. Specifically, CREST pairs commonplace and reliable biochemical methods (PCR) with low-cost instrumentation, without sacrificing detection sensitivity. By taking advantage of simple fluorescence visualizers, CREST allows a binary interpretation of results. CREST may provide a point-of-care solution to increase the distribution of COVID-19 surveillance. American Society for Microbiology 2021-03-19 /pmc/articles/PMC8092748/ /pubmed/33478979 http://dx.doi.org/10.1128/JCM.02402-20 Text en Copyright © 2021 Rauch et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . https://doi.org/10.1128/ASMCopyrightv2This article is made available via the PMC Open Access Subset for unrestricted noncommercial re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Virology Rauch, Jennifer N. Valois, Eric Solley, Sabrina C. Braig, Friederike Lach, Ryan S. Audouard, Morgane Ponce-Rojas, Jose Carlos Costello, Michael S. Baxter, Naomi J. Kosik, Kenneth S. Arias, Carolina Acosta-Alvear, Diego Wilson, Maxwell Z. A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material |
title | A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material |
title_full | A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material |
title_fullStr | A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material |
title_full_unstemmed | A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material |
title_short | A Scalable, Easy-to-Deploy Protocol for Cas13-Based Detection of SARS-CoV-2 Genetic Material |
title_sort | scalable, easy-to-deploy protocol for cas13-based detection of sars-cov-2 genetic material |
topic | Virology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092748/ https://www.ncbi.nlm.nih.gov/pubmed/33478979 http://dx.doi.org/10.1128/JCM.02402-20 |
work_keys_str_mv | AT rauchjennifern ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT valoiseric ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT solleysabrinac ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT braigfriederike ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT lachryans ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT audouardmorgane ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT poncerojasjosecarlos ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT costellomichaels ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT baxternaomij ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT kosikkenneths ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT ariascarolina ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT acostaalveardiego ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT wilsonmaxwellz ascalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT rauchjennifern scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT valoiseric scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT solleysabrinac scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT braigfriederike scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT lachryans scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT audouardmorgane scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT poncerojasjosecarlos scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT costellomichaels scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT baxternaomij scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT kosikkenneths scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT ariascarolina scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT acostaalveardiego scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial AT wilsonmaxwellz scalableeasytodeployprotocolforcas13baseddetectionofsarscov2geneticmaterial |