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Sensitive detection of microRNAs based on the conversion of colorimetric assay into electrochemical analysis with duplex-specific nuclease-assisted signal amplification

Overview of attention for article published in International Journal of Nanomedicine, July 2017
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Title
Sensitive detection of microRNAs based on the conversion of colorimetric assay into electrochemical analysis with duplex-specific nuclease-assisted signal amplification
Published in
International Journal of Nanomedicine, July 2017
DOI 10.2147/ijn.s138656
Pubmed ID
Authors

Ning Xia, Ke Liu, Yingying Zhou, Yuanyuan Li, Xinyao Yi

Abstract

miRNAs have emerged as new biomarkers for the detection of a wide variety of cancers. By employing duplex-specific nuclease for signal amplification and gold nanoparticles (AuNPs) as the carriers of detection probes, a novel electrochemical assay of miRNAs was performed. The method is based on conversion of the well-known colorimetric assay into electrochemical analysis with enhanced sensitivity. DNA capture probes immobilized on the electrode surface and ferrocene (Fc)-labeled DNA detection probes (denoted "Fc-DNA-Fc") presented in the solution induced the assembly of positively charged AuNPs on the electrode surface through the electrostatic interaction. As a result, a large number of Fc-DNA-Fc molecules were attached on the electrode surface, thus amplifying the electrochemical signal. When duplex-specific nuclease was added to recycle the process of miRNA-initiated digestion of the immobilized DNA probes, Fc-DNA-Fc-induced assembly of AuNPs on the electrode surface could not occur. This resulted in a significant fall in the oxidation current of Fc. The current was found to be inversely proportional to the concentration of miRNAs in the range of 0-25 fM, and a detection limit of 0.1 fM was achieved. Moreover, this work presents a new method for converting colorimetric assays into sensitive electrochemical analyses, and thus would be valuable for design of novel chemical/biosensors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Researcher 3 21%
Student > Master 2 14%
Professor 1 7%
Librarian 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Engineering 2 14%
Agricultural and Biological Sciences 2 14%
Arts and Humanities 1 7%
Linguistics 1 7%
Other 2 14%
Unknown 3 21%