核糖核酸
软件部署
计算生物学
计算机科学
2019年冠状病毒病(COVID-19)
大流行
生物
基因
传染病(医学专业)
医学
遗传学
疾病
病理
操作系统
作者
İlkay Çisil Köksaldı,Dong-Won Park,Abdurahman Atilla,Hansol Kang,Jongmin Kim,Urartu Özgür Şafak Şeker
标识
DOI:10.1021/acssynbio.3c00698
摘要
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.
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