RNA-Based Sensor Systems for Affordable Diagnostics in the Age of Pandemics.

RNA sensors biosensors cell-free riboregulatory synthetic biology toehold switch

Journal

ACS synthetic biology
ISSN: 2161-5063
Titre abrégé: ACS Synth Biol
Pays: United States
ID NLM: 101575075

Informations de publication

Date de publication:
08 Apr 2024
Historique:
medline: 9 4 2024
pubmed: 9 4 2024
entrez: 8 4 2024
Statut: aheadofprint

Résumé

In the era of the COVID-19 pandemic, the significance of point-of-care (POC) diagnostic tools has become increasingly vital, driven by the need for quick and precise virus identification. RNA-based sensors, particularly toehold sensors, have emerged as promising candidates for POC detection systems due to their selectivity and sensitivity. Toehold sensors operate by employing an RNA switch that changes the conformation when it binds to a target RNA molecule, resulting in a detectable signal. This review focuses on the development and deployment of RNA-based sensors for POC viral RNA detection with a particular emphasis on toehold sensors. The benefits and limits of toehold sensors are explored, and obstacles and future directions for improving their performance within POC detection systems are presented. The use of RNA-based sensors as a technology for rapid and sensitive detection of viral RNA holds great potential for effectively managing (dealing/coping) with present and future pandemics in resource-constrained settings.

Identifiants

pubmed: 38588603
doi: 10.1021/acssynbio.3c00698
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Ilkay Cisil Koksaldi (IC)

UNAM - Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara 06800, Turkey.

Dongwon Park (D)

Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, South Korea.

Abdurahman Atilla (A)

UNAM - Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara 06800, Turkey.

Hansol Kang (H)

Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, South Korea.

Jongmin Kim (J)

Department of Life Sciences, Pohang University of Science and Technology, Pohang 37673, South Korea.

Urartu Ozgur Safak Seker (UOS)

UNAM - Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara 06800, Turkey.

Classifications MeSH