TY - JOUR
T1 - How to Find the Right RNA-Sensing CRISPR-Cas System for an In Vitro Application
AU - Díaz-Galicia, Escarlet
AU - Grunberg, Raik
AU - Arold, Stefan T.
N1 - KAUST Repository Item: Exported on 2022-01-25
Acknowledged KAUST grant number(s): OSR, REI/1/4204-01
Acknowledgements: 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).
PY - 2022/1/19
Y1 - 2022/1/19
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/675108
UR - https://www.mdpi.com/2079-6374/12/2/53
U2 - 10.3390/bios12020053
DO - 10.3390/bios12020053
M3 - Article
C2 - 35200314
SN - 2079-6374
VL - 12
SP - 53
JO - Biosensors
JF - Biosensors
IS - 2
ER -