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Kang Q, Chen B, He M, Hu B. Discrimination of Multiple Homologous Sequences Based on DNA Logic Gate and Elemental Labeling Technology. Anal Chem 2024; 96:6329-6336. [PMID: 38597405 DOI: 10.1021/acs.analchem.3c05915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
The simultaneous discrimination of multiple homologous sequences faces challenges due to the high similarity of sequences and the complexity of the discrimination system in most reported works. Herein, a simple and ingenious analysis method was developed to identify eight miRNAs of the let-7 family by combining logic gates and entropy-driven catalytic (EDC)-based lanthanide labeling inductively coupled plasma mass spectrometry (ICP-MS) technology. Specifically, eight miRNAs were first divided into four types according to the difference of bases in the domains 2 and 3 on sequences. To identify the type of targets, a DNA logic gate was constructed with two strand displacement reactions on magnetic beads that could be initiated by different types of targets. Based on the difference of the output signals after two strand displacement reactions, the type of targets was distinguished preliminarily. Then, the discrimination of a specific target was achieved with EDC-based lanthanide labeling ICP-MS detection. By labeling the different magnetic probes with different elemental tags, a specific element signal released from magnetic beads after EDC could be detected by ICP-MS, and therefore, simultaneous detection of homologous sequences was completed. This work provided a novel and simple method for highly specific identification of homologous sequences with the assistance of a logic gate and can promote further development of elemental labeling ICP-MS in the field of multiple analysis.
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Affiliation(s)
- Qi Kang
- Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Beibei Chen
- Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Man He
- Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Bin Hu
- Department of Chemistry, Wuhan University, Wuhan 430072, China
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Martino S, Tammaro C, Misso G, Falco M, Scrima M, Bocchetti M, Rea I, De Stefano L, Caraglia M. microRNA Detection via Nanostructured Biochips for Early Cancer Diagnostics. Int J Mol Sci 2023; 24:7762. [PMID: 37175469 PMCID: PMC10178165 DOI: 10.3390/ijms24097762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/15/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
MicroRNA (miRNA) are constituted of approximately 22 nucleotides and play an important role in the regulation of many physiological functions and diseases. In the last 10 years, an increasing interest has been recorded in studying the expression profile of miRNAs in cancer. Real time-quantitative polymerase chain reaction (RT-qPCR), microarrays, and small RNA sequencing represent the gold standard techniques used in the last 30 years as detection methods. The advent of nanotechnology has allowed the fabrication of nanostructured biosensors which are widely exploited in the diagnostic field. Nanostructured biosensors offer many advantages: (i) their small size allows the construction of portable, wearable, and low-cost products; (ii) the large surface-volume ratio enables the loading of a great number of biorecognition elements (e.g., probes, receptors); and (iii) direct contact of the recognition element with the analyte increases the sensitivity and specificity inducing low limits of detection (LOD). In this review, the role of nanostructured biosensors in miRNA detection is explored, focusing on electrochemical and optical sensing. In particular, four types of nanomaterials (metallic nanoparticles, graphene oxide, quantum dots, and nanostructured polymers) are reported for both detection strategies with the aim to show their distinct properties and applications.
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Affiliation(s)
- Sara Martino
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (S.M.); (C.T.); (M.F.); (M.B.); (M.C.)
- Unit of Naples, National Research Council, Institute of Applied Sciences and Intelligent Systems, 80138 Naples, Italy;
| | - Chiara Tammaro
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (S.M.); (C.T.); (M.F.); (M.B.); (M.C.)
| | - Gabriella Misso
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (S.M.); (C.T.); (M.F.); (M.B.); (M.C.)
| | - Michela Falco
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (S.M.); (C.T.); (M.F.); (M.B.); (M.C.)
- Laboratory of Molecular and Precision Oncology, Biogem Scarl, Institute of Genetic Research, 83031 Ariano Irpino, Italy;
| | - Marianna Scrima
- Laboratory of Molecular and Precision Oncology, Biogem Scarl, Institute of Genetic Research, 83031 Ariano Irpino, Italy;
| | - Marco Bocchetti
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (S.M.); (C.T.); (M.F.); (M.B.); (M.C.)
- Laboratory of Molecular and Precision Oncology, Biogem Scarl, Institute of Genetic Research, 83031 Ariano Irpino, Italy;
| | - Ilaria Rea
- Unit of Naples, National Research Council, Institute of Applied Sciences and Intelligent Systems, 80138 Naples, Italy;
| | - Luca De Stefano
- Unit of Naples, National Research Council, Institute of Applied Sciences and Intelligent Systems, 80138 Naples, Italy;
| | - Michele Caraglia
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (S.M.); (C.T.); (M.F.); (M.B.); (M.C.)
- Laboratory of Molecular and Precision Oncology, Biogem Scarl, Institute of Genetic Research, 83031 Ariano Irpino, Italy;
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Liu J, Xie G, Lv S, Xiong Q, Xu H. Recent applications of rolling circle amplification in biosensors and DNA nanotechnology. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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A Novel Helper qPCR Assay for the Detection of miRNA Using Target/Helper Template for Primer Formation. Int J Anal Chem 2022; 2022:6918054. [PMID: 35469146 PMCID: PMC9034933 DOI: 10.1155/2022/6918054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 03/28/2022] [Indexed: 12/02/2022] Open
Abstract
A novel, simple, and sensitive quantitative polymerase chain reaction (qPCR) technology, which is termed as helper qPCR, was established to detect miRNA. In this assay, the target miRNA sequence was introduced as helper template for a reaction switch preforming two-step real-time qPCR strategy. Firstly, the reverse primer was reverse transcribed to form “mediator primer” after binding to the target miRNA. Then, the mediator primer was further extended to form “active template” with annealing to the mediator template. In the end, the active template was amplified and detected by the qPCR reaction system with the help of reverse and forward primers. The SYBR Green dye was used for fluorescence quantification, which is quicker and cheaper than the fluorescent probes, as the detection limit of this assay was 1 pM. This helper qPCR system can be used for different miRNAs detection by redesigning reverse primer for target, indicating this strategy could afford good performance in detecting multiple miRNAs and has a promising application prospect.
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Xu F, Qiao Z, Luo L, He X, Lei Y, Tang J, Shi H, Wang K. A label-free cyclic amplification strategy for microRNA detection by coupling graphene oxide-controlled adsorption with superlong poly(thymine)-hosted fluorescent copper nanoparticles. Talanta 2022; 243:123323. [PMID: 35247818 DOI: 10.1016/j.talanta.2022.123323] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 12/22/2022]
Abstract
Herein, based on a terminal deoxynucleotidyl transferase (TdT)-mediated superlong poly-T-templated-copper nanoparticles (poly T-CuNPs) strategy, a simple, universal and label-free fluorescent biosensor for the detection of miRNA was constructed by employing graphene oxide (GO) and DNase I. In this strategy, GO and DNase I were used as a switch and amplifier of the signal generation pathway, respectively, and the fluorescence of poly T-CuNPs was used as the signal output. In the presence of target miRNA, the DNA dissociated from the GO surface by forming a miRNA/DNA duplex and was degraded by DNase I. The short oligos with 3'-OH, the product of DNase I degradation, could be recognized by the TdT and added to a long poly-T tail. Finally, the fluorescence signal was output through the synthesis of poly T-CuNPs. As a proof of concept, let-7a was analyzed. The method showed good sensitivity and selectivity with a linear response in the 50 pM-10,000 pM let-7a concentration range and a 30 pM limit of detection (LOD = 30 pM, R2 = 0.9954, the relative standard deviation were 2.79%-5.30%). It was also successfully applied to the determination of miRNA in spiked human serum samples. It showed good linearity in the range of 500-10000 pM (R2 = 0.9969, the relative standard deviation were 1.61%-3.85%). Moreover, both the adsorption of GO and the degradation of DNase I are DNA sequence-independent; thus, this method can be applied to the detection of any miRNA simply by changing the assisted-DNA sequence.
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Affiliation(s)
- Fengzhou Xu
- Fujian Provincial Key Laboratory of Ecology-toxicological Effects & Control for Emerging Contaminants, Key Laboratory of Ecological Environment and Information Atlas (Putian University) Fujian Provincial University, College of Environmental and Biological Engineering, Putian University, Putian, 351100, China; State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China
| | - Zhenzhen Qiao
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China
| | - Lan Luo
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China
| | - Xiaoxiao He
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China
| | - Yanli Lei
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China
| | - Jinlu Tang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China
| | - Hui Shi
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China.
| | - Kemin Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Hunan University, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Changsha, 410082, China.
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Kim S, Park KS. Fluorescence resonance energy transfer using DNA-templated copper nanoparticles for ratiometric detection of microRNAs. Analyst 2021; 146:1844-1847. [PMID: 33606855 DOI: 10.1039/d0an02371j] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
We examined the effectiveness of a ratiometric method using DNA-templated copper nanoparticles, which can function as a probe for fluorescence resonance energy transfer. This method in combination with PCR successfully detected the target microRNA, which corresponded well with the results obtained by quantitative reverse transcription PCR.
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Affiliation(s)
- Seokjoon Kim
- Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.
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