4.8 Article

A novel polydopamine-based chemiluminescence resonance energy transfer method for microRNA detection coupling duplex-specific nuclease-aided target recycling strategy

期刊

BIOSENSORS & BIOELECTRONICS
卷 80, 期 -, 页码 366-372

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.02.005

关键词

MicroRNA detection; Chemiluminescence resonance energy transfer; Polydopamine; Duplex-specific nuclease; Signal amplification

资金

  1. National Natural Science Foundation of China [21335003]
  2. Key Grant Project of Chinese Ministry of Education [313019]
  3. Fundamental Research Funds for the Central Universities [WF1514038, WF1516011]

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MicroRNAs (miRNAs), functioning as oncogenes or tumor suppressors, play significant regulatory roles in regulating gene expression and become as biomarkers for disease diagnostics and therapeutics. In this work, we have coupled a polydopamine (PDA) nanosphere-assisted chemiluminescence resonance energy transfer (CRET) platform and a duplex-specific nuclease (DSN)-assisted signal amplification strategy to develop a novel method for specific miRNA detection. With the assistance of hemin, luminol, and H2O2, the horseradish peroxidase (HRP)-mimicking G-rich sequence in the sensing probe produces chemiluminescence, which is quickly quenched by the CRET effect between PDA as energy acceptor and excited luminol as energy donor. The target miRNA triggers DSN to partially degrade the sensing probe in the DNA-miRNA heteroduplex to repeatedly release G-quadruplex formed by G-rich sequence from PDA for the production of chemiluminescence. The method allows quantitative detection of target miRNA in the range of 80 pM-50 nM with a detection limit of 49.6 pM. The method also shows excellent specificity to discriminate single-base differences, and can accurately quantify miRNA in biological samples, with good agreement with the result from a commercial miRNA detection kit. The procedure requires no organic dyes or labels, and is a simple and cost-effective method for miRNA detection for early clinical diagnosis. (C) 2016 Elsevier B.V. All rights reserved.

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