Self-assembled DNAzyme based on the nicking enzyme amplification reaction for microRNA detection

MiRNAs play crucial roles in cell proliferation, metabolism, and signal transduction, and have been established as biomarkers for cancer diagnosis and treatment for many years. Traditional methods for detecting miRNAs have several drawbacks, including poor sensitivity, time-consuming processes, and laborious steps. We have combined nicking enzyme amplification reaction (NEAR) with DNAzyme to develop a single-tube detection platform for highly sensitive and rapid detection of miRNA-21. The target miRNA activates NEAR to produce many single-stranded DNAs, which hybridize to another DNA strand in the system to form a cleavage-active magnesium ion-dependent DNAzyme. When magnesium ions are present in the system, DNAzyme degrades the FQ reporter to generate a fluorescent signal to achieve highly sensitive and rapid detection of miRNA. This assay enables highly sensitive detection of miRNAs with a detection limit of 1.91 pM. The assay is a one-tube reaction, and miRNA detection can be completed in approximately 30 minutes at room temperature. These results indicate that this biosensor has a broad application prospect in cancer diagnosis and treatment based on miRNA detection.

Authors

Institutions

Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay01000d
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-assembled DNAzyme based on the nicking enzyme amplification reaction for microRNA detection

Hao Zhong, Ganghui Chen, Xin Huang, Faming Zhang et al.
Analytical Methods
Advanced biosensing and bioanalysis techniques
article

Self-assembled DNAzyme based on the nicking enzyme amplification reaction for microRNA detection

Hao Zhong, Ganghui Chen, Xin Huang, Faming Zhang, Dongsheng Mao, Zhenyu Lin, Fang Zhang
article en

Abstract

MiRNAs play crucial roles in cell proliferation, metabolism, and signal transduction, and have been established as biomarkers for cancer diagnosis and treatment for many years. Traditional methods for detecting miRNAs have several drawbacks, including poor sensitivity, time-consuming processes, and laborious steps. We have combined nicking enzyme amplification reaction (NEAR) with DNAzyme to develop a single-tube detection platform for highly sensitive and rapid detection of miRNA-21. The target miRNA activates NEAR to produce many single-stranded DNAs, which hybridize to another DNA strand in the system to form a cleavage-active magnesium ion-dependent DNAzyme. When magnesium ions are present in the system, DNAzyme degrades the FQ reporter to generate a fluorescent signal to achieve highly sensitive and rapid detection of miRNA. This assay enables highly sensitive detection of miRNAs with a detection limit of 1.91 pM. The assay is a one-tube reaction, and miRNA detection can be completed in approximately 30 minutes at room temperature. These results indicate that this biosensor has a broad application prospect in cancer diagnosis and treatment based on miRNA detection.

Analytical MethodsVol. 17(35)
Tongji University (CN), Hong Kong Polytechnic University (HK), Shanghai Jiao Tong University (CN), Shanghai Tenth People's Hospital (CN), Fuzhou University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Fujian Province, Fuzhou University
Good health and well-being
Openalex Percentile: Top 81%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.