Engineered RNA biosensors enable ultrasensitive SARS-CoV-2 detection in a simple color and luminescence assay.
Journal
Life science alliance
ISSN: 2575-1077
Titre abrégé: Life Sci Alliance
Pays: United States
ID NLM: 101728869
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
received:
02
08
2021
revised:
11
09
2021
accepted:
20
09
2021
entrez:
1
10
2021
pubmed:
2
10
2021
medline:
13
10
2021
Statut:
epublish
Résumé
The continued resurgence of the COVID-19 pandemic with multiple variants underlines the need for diagnostics that are adaptable to the virus. We have developed toehold RNA-based sensors across the SARS-CoV-2 genome for direct and ultrasensitive detection of the virus and its prominent variants. Here, isothermal amplification of a fragment of SARS-CoV-2 RNA coupled with activation of our biosensors leads to a conformational switch in the sensor. This leads to translation of a reporter protein, for example, LacZ or nano-lantern that is easily detected using color/luminescence. By optimizing RNA amplification and biosensor design, we have generated a highly sensitive diagnostic assay that is capable of detecting as low as 100 copies of viral RNA with development of bright color. This is easily visualized by the human eye and quantifiable using spectrophotometry. Finally, this PHAsed NASBA-Translation Optical Method (PHANTOM) using our engineered RNA biosensors efficiently detects viral RNA in patient samples. This work presents a powerful and universally accessible strategy for detecting COVID-19 and variants. This strategy is adaptable to further viral evolution and brings RNA bioengineering center-stage.
Identifiants
pubmed: 34593555
pii: 4/12/e202101213
doi: 10.26508/lsa.202101213
pmc: PMC8500229
pii:
doi:
Substances chimiques
RNA, Viral
0
RNA
63231-63-0
Banques de données
GENBANK
['MT012098.1']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Informations de copyright
© 2021 Chakravarthy et al.
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