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Review

How to Find the Right RNA-Sensing CRISPR-Cas System for an In Vitro Application

1
Computational Bioscience Research Center (CBRC), Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
2
Centre de Biologie Structurale (CBS), INSERM, CNRS, Université de Montpellier, F-34090 Montpellier, France
*
Authors to whom correspondence should be addressed.
Biosensors 2022, 12(2), 53; https://doi.org/10.3390/bios12020053
Received: 29 December 2021 / Revised: 17 January 2022 / Accepted: 18 January 2022 / Published: 19 January 2022
(This article belongs to the Special Issue Application of CRISPR Cas Systems for Biosensing)
CRISPR-Cas systems have a great and still largely untapped potential for in vitro applications, in particular, for RNA biosensing. However, there is currently no systematic guide on selecting the most appropriate RNA-targeting CRISPR-Cas system for a given application among thousands of potential candidates. We provide an overview of the currently described Cas effector systems and review existing Cas-based RNA detection methods. We then propose a set of systematic selection criteria for selecting CRISPR-Cas candidates for new applications. Using this approach, we identify four candidates for in vitro RNA. View Full-Text
Keywords: RNA sensing; CRISPR-Cas; spacer; in vitro; PAM; sensor design RNA sensing; CRISPR-Cas; spacer; in vitro; PAM; sensor design
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MDPI and ACS Style

Díaz-Galicia, E.; Grünberg, R.; Arold, S.T. How to Find the Right RNA-Sensing CRISPR-Cas System for an In Vitro Application. Biosensors 2022, 12, 53. https://doi.org/10.3390/bios12020053

AMA Style

Díaz-Galicia E, Grünberg R, Arold ST. How to Find the Right RNA-Sensing CRISPR-Cas System for an In Vitro Application. Biosensors. 2022; 12(2):53. https://doi.org/10.3390/bios12020053

Chicago/Turabian Style

Díaz-Galicia, Escarlet, Raik Grünberg, and Stefan T. Arold. 2022. "How to Find the Right RNA-Sensing CRISPR-Cas System for an In Vitro Application" Biosensors 12, no. 2: 53. https://doi.org/10.3390/bios12020053

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