Gold-loaded nanoporous ferric oxide nanocubes for electrocatalytic detection of microRNA at attomolar level

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Author(s)
Islam, Md Nazmul
Masud, Mostafa Kamal
Nam-Trung, Nguyen
Gopalan, Vinod
Alamri, Hatem R
Alothman, Zeid A
Al Hossain, Md Shahriar
Yamauchi, Yusuke
Lam, Alfred K
Shiddiky, Muhammad JA
Year published
2018
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A crucial issue in microRNA (miRNA) detection is the lack of sensitive method capable of detecting the low levels of miRNA in RNA samples. Herein, we present a sensitive and specific method for the electrocatalytic detection of miR-107 using gold-loaded nanoporous superparamagnetic iron oxide nanocubes (Au@NPFe2O3NC). The target miRNA was directly adsorbed onto the gold surfaces of Au@NPFe2O3NC via gold-RNA affinity interaction. The electrocatalytic activity of Au@NPFe2O3NC was then used for the reduction of ruthenium hexaammine(III) chloride (RuHex, [Ru(NH3)6]3+) bound with target miRNA. The catalytic signal was further ...
View more >A crucial issue in microRNA (miRNA) detection is the lack of sensitive method capable of detecting the low levels of miRNA in RNA samples. Herein, we present a sensitive and specific method for the electrocatalytic detection of miR-107 using gold-loaded nanoporous superparamagnetic iron oxide nanocubes (Au@NPFe2O3NC). The target miRNA was directly adsorbed onto the gold surfaces of Au@NPFe2O3NC via gold-RNA affinity interaction. The electrocatalytic activity of Au@NPFe2O3NC was then used for the reduction of ruthenium hexaammine(III) chloride (RuHex, [Ru(NH3)6]3+) bound with target miRNA. The catalytic signal was further amplified by using the ferri/ferrocyanide [Fe(CN)6]3-/4- system. These multiple signal enhancement steps enable our assay to achieve the detection limit of 100 aM which is several orders of magnitudes better than most of the conventional miRNA sensors. The method was also successfully applied to detect miR-107 from cancer cell lines and a panel of tissue samples derived from patients with oesophageal squamous cell carcinoma with excellent reproducibility (% RSD = <5%, for n=3) and high specificity. The analytical accuracy of the method was validated with a standard RT-qPCR method. We believe that our method has the high translational potential for screening miRNAs in clinical samples.
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View more >A crucial issue in microRNA (miRNA) detection is the lack of sensitive method capable of detecting the low levels of miRNA in RNA samples. Herein, we present a sensitive and specific method for the electrocatalytic detection of miR-107 using gold-loaded nanoporous superparamagnetic iron oxide nanocubes (Au@NPFe2O3NC). The target miRNA was directly adsorbed onto the gold surfaces of Au@NPFe2O3NC via gold-RNA affinity interaction. The electrocatalytic activity of Au@NPFe2O3NC was then used for the reduction of ruthenium hexaammine(III) chloride (RuHex, [Ru(NH3)6]3+) bound with target miRNA. The catalytic signal was further amplified by using the ferri/ferrocyanide [Fe(CN)6]3-/4- system. These multiple signal enhancement steps enable our assay to achieve the detection limit of 100 aM which is several orders of magnitudes better than most of the conventional miRNA sensors. The method was also successfully applied to detect miR-107 from cancer cell lines and a panel of tissue samples derived from patients with oesophageal squamous cell carcinoma with excellent reproducibility (% RSD = <5%, for n=3) and high specificity. The analytical accuracy of the method was validated with a standard RT-qPCR method. We believe that our method has the high translational potential for screening miRNAs in clinical samples.
View less >
Journal Title
Biosensors and Bioelectronics
Volume
101
Copyright Statement
© 2017 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
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This publication has been entered into Griffith Research Online as an Advanced Online Version.
Subject
Analytical chemistry
Analytical chemistry not elsewhere classified
Biomedical engineering
Nanotechnology