4.0 Review

Improved Strategies for CRISPR-Cas12-based Nucleic Acids Detection

Journal

JOURNAL OF ANALYSIS AND TESTING
Volume 6, Issue 1, Pages 44-52

Publisher

SPRINGER SINGAPORE PTE LTD
DOI: 10.1007/s41664-022-00212-4

Keywords

CRISPR-Cas12; Nucleic acid detection; Sensitivity; Integrated detection; Simplified detection mode; Quantitative detection

Funding

  1. National Natural Science Foundation of China [91959128, 21874049]

Ask authors/readers for more resources

This review paper discusses recent advances in CRISPR-Cas12-based nucleic acid detection, with a focus on the methods and means to improve the detection capability of CRISPR-Cas12. Strategies for enhancing sensitivity, optimizing integrated detection, developing simplified detection mode, and improving quantitative detection capabilities are summarized, along with a prospect of future developments in CRISPR-Cas12-based nucleic acid detection.
The COVID-19 pandemic has brought great challenges to traditional nucleic acid detection technology. Thus, it is urgent to develop a more simple and efficient nucleic acid detection technology. CRISPR-Cas12 has signal amplification ability, high sensitivity and high nucleic acid recognition specificity, so it is considered as a nucleic acid detection tool with broad development prospects and high application value. This review paper discusses recent advances in CRISPR-Cas12-based nucleic acid detection, with an emphasis on the new research methods and means to improve the nucleic acid detection capability of CRISPR-Cas12. Strategies for improving sensitivity, optimization of integrated detection, development of simplified detection mode and improvement of quantitative detection capabilities are included. Finally, the future development of CRISPR-Cas12-based nucleic acids detection is prospected.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.0
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available