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

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Article
Authors
Díaz-Galicia, Escarlet cc
Grunberg, Raik cc
Arold, Stefan T. cc
KAUST Department
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.
Biological and Environmental Science and Engineering (BESE) Division
Bioscience Program
Computational Bioscience Research Center (CBRC)
Bioengineering
KAUST Grant Number
OSR
REI/1/4204-01
Date
2022-01-19
Submitted Date
2021-12-29
Permanent link to this record
http://hdl.handle.net/10754/675108

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Abstract
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.
Citation
Díaz-Galicia, E., Grünberg, R., & Arold, S. T. (2022). How to Find the Right RNA-Sensing CRISPR-Cas System for an In Vitro Application. Biosensors, 12(2), 53. doi:10.3390/bios12020053
Sponsors
This research was supported by the King Abdullah University of Science and Technology (KAUST) through the baseline fund and Award No. REI/1/4204-01 from the Office of Sponsored Research (OSR).
Publisher
MDPI AG
Journal
Biosensors
DOI
10.3390/bios12020053
Additional Links
https://www.mdpi.com/2079-6374/12/2/53
Collections
Articles; Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program; Computational Bioscience Research Center (CBRC)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.