Residential College | false |
Status | 已發表Published |
Interference Reduction Biosensing Strategy for Highly Sensitive microRNA Detection | |
Chen, Feng1; Li, Guodong1,4; Wu, Chun2; Wang, Ling1; Ko, Chung Nga2; Ma, Dik Lung2; Leung, Chung Hang1,3,4 | |
2022-03-15 | |
Source Publication | Analytical Chemistry |
ISSN | 0003-2700 |
Volume | 94Issue:10Pages:4513-4521 |
Abstract | MicroRNAs are potential biomarkers for human cancers and other diseases due to their roles as post-transcriptional regulators for gene expression. However, the detection of miRNAs by conventional methods such as RT-qPCR, in situ hybridization, northern blot-based platforms, and next-generation sequencing is complicated by short length, low abundance, high sequence homology, and susceptibility to degradation of miRNAs. In this study, we developed a nicking endonuclease-mediated interference reduction rolling circle amplification (NEM-IR-RCA) strategy for the ultrasensitive and highly specific detection of miRNA-21. This method exploits the advantages of the optical properties of long-lived iridium(III) probes, in conjunction with time-resolved emission spectroscopy (TRES) and exponential rolling circle amplification (E-RCA). Under the NEM-IR-RCA-based signal enhancement processes, the limit of detection of miRNA-21 was down to 0.0095 fM with a linear range from 0.05 to 100 fM, which is comparable with the conventional RT-qPCR. Unlike RT-qPCR, the strategy was performed at a lower and constant temperature without heating/cooling cycles and reverse transcription. The strategy could clearly discriminate between matched and mismatched targets, demonstrating high specificity. Moreover, the potential application of this method was demonstrated in cancer cells and mouse serum samples, showing good agreement with RT-qPCR results. Apart from miRNA-21 detection, this platform could be also adapted for detecting other miRNAs, such as let-7a and miRNA-22, indicating its excellent potential for biomedical research and clinical diagnostics. |
DOI | 10.1021/acs.analchem.2c00138 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Chemistry |
WOS Subject | Chemistry, Analytical |
WOS ID | WOS:000801884900045 |
Publisher | AMER CHEMICAL SOC1155 16TH ST, NW, WASHINGTON, DC 20036 |
Scopus ID | 2-s2.0-85126513937 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF QUALITY RESEARCH IN CHINESE MEDICINE (UNIVERSITY OF MACAU) Institute of Chinese Medical Sciences DEPARTMENT OF BIOMEDICAL SCIENCES |
Corresponding Author | Leung, Chung Hang |
Affiliation | 1.State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, 999078, Macao 2.Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, 999077, Hong Kong 3.Department of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, 999078, Macao 4.Zhuhai UM Science and Technology Research Institute, Zhuhai, 519031, China |
First Author Affilication | Institute of Chinese Medical Sciences |
Corresponding Author Affilication | Institute of Chinese Medical Sciences; Faculty of Health Sciences |
Recommended Citation GB/T 7714 | Chen, Feng,Li, Guodong,Wu, Chun,et al. Interference Reduction Biosensing Strategy for Highly Sensitive microRNA Detection[J]. Analytical Chemistry, 2022, 94(10), 4513-4521. |
APA | Chen, Feng., Li, Guodong., Wu, Chun., Wang, Ling., Ko, Chung Nga., Ma, Dik Lung., & Leung, Chung Hang (2022). Interference Reduction Biosensing Strategy for Highly Sensitive microRNA Detection. Analytical Chemistry, 94(10), 4513-4521. |
MLA | Chen, Feng,et al."Interference Reduction Biosensing Strategy for Highly Sensitive microRNA Detection".Analytical Chemistry 94.10(2022):4513-4521. |
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