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Yao C, Zhang GQ, Yu L, Li YL, Yang T, Yang JM, Yang YH, Hu R. Homogeneous electrochemical ratiometric biosensor for MircoRNA detection based on UiO-66-NH 2 signal probe and waste-free entropy-driven DNA machine. Talanta 2024; 274:125999. [PMID: 38583327 DOI: 10.1016/j.talanta.2024.125999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/19/2024] [Accepted: 03/25/2024] [Indexed: 04/09/2024]
Abstract
The construction of efficient methods for highly sensitive and rapid detection of disease markers is essential for the early diagnosis of serious diseases. In this paper, taking advantage of the UiO-66-NH2 signal molecule in combination with a waste-free entropy-driven DNA machine, a novel homogeneous electrochemical ratiometric platform is developed to detect MircoRNA (miRNA). Metal-organic framework materials (UiO-66-NH2 MOF) and ferrocene were utilized as electrochemical signal tags and reference probes, respectively. The target-initiated waste-free three-dimensional (3D) entropy-driven DNA nanomachine is activated in the presence of miRNA, resulting in DNA-labeled-UiO-66-NH2 falling off from the electrode, leading to a decrease in the signal of UiO-66-NH2 at 0.83V. Our strategy can mitigate false positive responses induced by the DNA probes immobilized on electrodes in traditional distance-dependent signal adjustment ratiometric strategies. The proposed ratiometric platform demonstrates superior sensitivity (a detection limit of 9.8 fM), simplified operation, high selectivity, and high repeatability. The ratiometric biosensor is also applied to detect miRNA content in spiked serum samples.
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Affiliation(s)
- Chao Yao
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China
| | - Gui-Qun Zhang
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China
| | - Lan Yu
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China
| | - Yu-Long Li
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China
| | - Tong Yang
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China
| | - Jian-Mei Yang
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China
| | - Yun-Hui Yang
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China
| | - Rong Hu
- College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, PR China; Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Collaborative Innovation Center for Molecular Engineering for Theronastics, Hunan University, Changsha, 410082, PR China.
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Zhao Z, Zharnikov M. Exploiting epoxy-rich poly(ethylene glycol) films for highly selective ssDNA sensing via electrochemical impedance spectroscopy. Phys Chem Chem Phys 2023; 25:26538-26548. [PMID: 37752830 DOI: 10.1039/d3cp03851c] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
This study introduces an alternative approach to immobilize thiolated single-stranded DNA (ssDNA) for the DNA sensing. In contrast to the standard, monomolecular assembly of such moieties on gold substrate, over the thiolate-gold anchors, we propose to use bioinert, porous polyethylene glycol (PEG) films as a 3D template for ssDNA immobilization. The latter process relies on the reaction between the thiol group of the respectively decorated ssDNA and the epoxy groups in the epoxy-rich PEG matrix. The immobilization process and subsequent hybridization ability of the resulting sensing assembly were monitored using cyclic voltammetry and electrochemical impedance spectroscopy, with the latter tool proving itself as the most suitable transduction technique. Electrochemical data confirmed the successful immobilization of thiol-decorated ssDNA probes into the PEG matrix over the thiol-epoxy linkage as well as high hybridization efficiency, selectivity, and sensitivity of the resulting DNA sensor. Whereas this sensor was equivalent to the direct ssDNA assembly in terms of the efficiency, it exhibited a better selectivity and bioinert properties in view of the bioinert character of the PEG matrix. The above findings place PEG films as a promising platform for highly selective ssDNA sensing, leveraging their flexible chemistry, 3D character, and bioinert properties.
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Affiliation(s)
- Zhiyong Zhao
- Angewandte Physikalische Chemie, Universität Heidelberg, Im Neuenheimer Feld 253, 69120 Heidelberg, Germany.
| | - Michael Zharnikov
- Angewandte Physikalische Chemie, Universität Heidelberg, Im Neuenheimer Feld 253, 69120 Heidelberg, Germany.
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Zhang P, Tong Y, Huang X, Chen Y, Li Y, Luan D, Li J, Wang C, Li P, Du L, Wang J. The Dual-Response-Single-Amplification Fluorescent Nanomachine for Tumor Imaging and Gastric Cancer Diagnosis. ACS NANO 2023; 17:16553-16564. [PMID: 37527488 DOI: 10.1021/acsnano.3c02148] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Gastric cancer (GC) is one of the most common tumors worldwide and is the leading cause of tumor-related mortality. Traditional biomarkers and screening methods cannot meet the clinical demands. There is an urgent need for highly sensitive diagnostic markers as well as accurate quantification methods for early gastric cancer (EGC) screening. Here a dual-target cooperatively responsive fluorescent nanomachine by the innovative application of two targets─responsive strand migration system with a single-amplification-cycle element was developed for the simultaneous detection of GC biomarkers miR-5585-5p and PLS3 mRNA, which were selected by next-generation sequencing and RT-qPCR. It was also an RNA extraction-free, PCR-free, and nonenzymatic biosensor to achieve tumor cell imaging and serum diagnosis. Requiring only a 20 μL serum sample and 20 min incubation time, the nanomachine achieved an ultrasensitive detection limit of fM level with a broad linear range from fM to nM. More importantly, a higher AUC value (0.884) compared to the clinically used biomarker CA 72-4 was obtained by the nanomachine to distinguish GC patients successfully. Notably, for the key concerns of diagnosis of EGC patients, the nanomachine also achieved a satisfactory AUC value of 0.859. Taken together, this work has screened and obtained multiple biomarkers and developed a fluorescent nanomachine for combination diagnosis of GC, providing an ingenious design of a functionalized DNA nanomachine and a feasible strategy for the transformation of serum biomarkers into clinical diagnosis.
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Affiliation(s)
- Peng Zhang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Yao Tong
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Xiaowen Huang
- State Key Laboratory of Biobased Material and Green Papermaking, Department of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250300, China
| | - Yuqing Chen
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Yanru Li
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Dongrui Luan
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Juan Li
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Chuanxin Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Peilong Li
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Lutao Du
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, China
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan 250033, China
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan 250033, China
| | - Jiayi Wang
- Department of Clinical Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
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Ang YS, Qiu X, Yam HM, Wu N, Lanry Yung LY. Enzyme-free and isothermal discrimination of microRNA point mutations using a DNA split proximity circuit with turn-on fluorescence readout. Biosens Bioelectron 2022; 217:114727. [DOI: 10.1016/j.bios.2022.114727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/11/2022] [Accepted: 09/14/2022] [Indexed: 11/26/2022]
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