Back to Search
Start Over
Target invasion-triggered signal amplification based on duplex-specific nuclease for selective and sensitive detection of miRNAs
- Source :
- Analytica Chimica Acta. 1189:339182
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Dysregulation of MicroRNAs (miRNAs) cause various diseases in humans, and developing reliable methods to detect miRNAs is critical for molecular diagnostics and personalized medicine. This study developed a toehold-mediated target invasion combined with duplex-specificity nuclease (DSN)-assisted cyclic signal amplification fluorescent sensor. Herein, we take advantage of toehold-mediated target invasion process to ensure the high selectivity of miRNA determination, coupled with the unique cleavage properties of DSN to improve the sensitivity of the strategy significantly. Throughout the assay, the whole procedure of detection the target let-7a has a limit of detection (LOD) as low as 9.00 fM and an excellent linear range from 1 pM to 100 nM for no more than 60 min. The assay shows reasonable specificity in detecting mismatched miRNAs and can realize single-base discrimination in the let-7 families. Finally, the developed method was applied to detect the miRNAs extracted from human serum. The results were consistent with those based on the quantitative reverse transcription-polymerase chain reaction(qRT-PCR) method, which shows great potential application value in clinical molecular diagnostics and biological research.
- Subjects :
- Detection limit
Nuclease
biology
Chemistry
business.industry
Biosensing Techniques
Computational biology
Endonucleases
Molecular diagnostics
Biochemistry
Analytical Chemistry
MicroRNAs
Linear range
Limit of Detection
Duplex (building)
microRNA
biology.protein
Humans
Environmental Chemistry
Personalized medicine
business
Nucleic Acid Amplification Techniques
Signal amplification
Spectroscopy
Subjects
Details
- ISSN :
- 00032670
- Volume :
- 1189
- Database :
- OpenAIRE
- Journal :
- Analytica Chimica Acta
- Accession number :
- edsair.doi.dedup.....9124823b2646b87e48ef7691fcaaab8f