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Ligase chain reaction-based electrochemical biosensor for the ultrasensitive and specific detection of single nucleotide polymorphisms

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机构: [a]Children’s Hospital Affiliated of Zhengzhou University, 450000 Zhenzhou, China [b]State Key Laboratory of Natural Medicines, Department of Biomedical Engineering, School of Engineering, China Pharmaceutical University, 210009 Nanjing, China [c]Key Laboratory of Biomedical Functional Materials, School of Science, China Pharmaceutical University, Nanjing 211198, China [d]Beijing Children’s Hospital, 100045 Beijing, China
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In this study, a simple, robust, label-free electrochemical biosensor based on the ligase chain reaction (LCR) was developed for the highly sensitive and selective detection of single nucleotide polymorphisms (SNPs) using Fe(CN)63-/Fe(CN)64- as a redox indicator. High sensitivity and specificity were achieved by using the LCR, which employs a thermostable and single-base discerning Hifi Taq DNA ligase to repeatedly ligate adjacently hybridized LCR-specific probes during thermal cycles, resulting in the highly specific exponential amplification of DNA targets. The electrochemical signal of the biosensor was further decreased using stem-loop probe DNA (SL-DNA), which specifically hybridized with LCR products on the electrodes. The linear dynamic range and high sensitivity of the mutant DNA (MutDNA) and wild-Type DNA (WtDNA) LCR-based electrochemical biosensors for the detection of MutDNA and WtDNA were studied in vitro, with a broad linear dynamic range of 10 aM to 10 pM and detection limits of 1.18 aM and 0.35 aM, respectively. In addition, the MutDNA and WtDNA LCR-based electrochemical biosensors were able to accurately detect allele frequency changes as low as 0.1%. In summary, the developed LCR-based electrochemical biosensor provides a useful platform to monitor SNPs in a highly sensitive and specific manner. This journal is © The Royal Society of Chemistry and the Centre National de la Recherche Scientifique.

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出版当年[2018]版:
大类 | 3 区 化学
小类 | 3 区 化学综合
最新[2023]版:
大类 | 3 区 化学
小类 | 3 区 化学:综合
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出版当年[2017]版:
Q2 CHEMISTRY, MULTIDISCIPLINARY
最新[2023]版:
Q2 CHEMISTRY, MULTIDISCIPLINARY

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者机构: [a]Children’s Hospital Affiliated of Zhengzhou University, 450000 Zhenzhou, China
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通讯机构: [b]State Key Laboratory of Natural Medicines, Department of Biomedical Engineering, School of Engineering, China Pharmaceutical University, 210009 Nanjing, China
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