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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

MicroRNAs (miRNAs) have a prominent role in virtually every aspect of cell biology. Due to the small size of mature miRNAs, the high degree of similarity between miRNA family members, and the low abundance of miRNAs in body fluids, miRNA expression profiling is technically challenging. Biosensors based on electrochemical detection for nucleic acids are a novel category of inexpensive and very sensitive diagnostic tools. On the other hand, after recognizing the target sequence, specific CRISPR-associated proteins, including orthologues of Cas12, Cas13, and Cas14, exhibit collateral nonspecific catalytic activities that can be employed for specific and ultrasensitive nucleic acid detection from clinically relevant samples. Recently, several platforms have been developed, connecting the benefits of enzyme-assisted signal amplification and enzyme-free amplification biosensing technologies with CRISPR-based approaches for miRNA detection. Together, they provide high sensitivity, precision, and fewer limitations in diagnosis through efficient sensors at a low cost and a simple miniaturized readout. This review provides an overview of several CRISPR-based biosensing platforms that have been developed and successfully applied for ultrasensitive and specific miRNA detection.

Details

Title
CRISPR/Cas13-Based Approaches for Ultrasensitive and Specific Detection of microRNAs
Author
Granados-Riveron, Javier T 1   VIAFID ORCID Logo  ; Aquino-Jarquin, Guillermo 2   VIAFID ORCID Logo 

 Laboratorio de Investigación en Patogénesis Molecular, Hospital Infantil de México, Federico Gómez, Ciudad de México 06720, Mexico; [email protected] 
 Laboratorio de Investigación en Genómica, Genética y Bioinformática, Hospital Infantil de México, Federico Gómez, Ciudad de México 06720, Mexico 
First page
1655
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20734409
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2554475385
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.