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dc.contributor.authorDíaz-Galicia, Escarlet
dc.contributor.authorGrunberg, Raik
dc.contributor.authorArold, Stefan T.
dc.date.accessioned2022-01-24T07:55:20Z
dc.date.available2022-01-24T07:55:20Z
dc.date.issued2022-01-19
dc.date.submitted2021-12-29
dc.identifier.citationDíaz-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
dc.identifier.issn2079-6374
dc.identifier.doi10.3390/bios12020053
dc.identifier.urihttp://hdl.handle.net/10754/675108
dc.description.abstractCRISPR-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.
dc.description.sponsorshipThis 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).
dc.publisherMDPI AG
dc.relation.urlhttps://www.mdpi.com/2079-6374/12/2/53
dc.rightsThis 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.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleHow to Find the Right RNA-Sensing CRISPR-Cas System for an In Vitro Application
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC), Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
dc.contributor.departmentBiological and Environmental Science and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentBioengineering
dc.identifier.journalBiosensors
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionCentre de Biologie Structurale (CBS), INSERM, CNRS, Université de Montpellier, F-34090 Montpellier, France.
dc.identifier.volume12
dc.identifier.issue2
dc.identifier.pages53
kaust.personDíaz-Galicia, Escarlet
kaust.personGrunberg, Raik
kaust.personArold, Stefan T.
kaust.grant.numberOSR
kaust.grant.numberREI/1/4204-01
dc.date.accepted2022-01-18
refterms.dateFOA2022-01-24T08:05:41Z
kaust.acknowledged.supportUnitOffice of Sponsored Research (OSR)


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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.