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Wei J, Zhang J, Wang W, Zhou H, Ma H, Gong Y, Tang Q, Zhang K, Liao X. Precision miRNA profiling: Electrochemiluminescence powered by CRISPR-Cas13a and hybridization chain reaction. Anal Chim Acta 2024; 1307:342641. [PMID: 38719418 DOI: 10.1016/j.aca.2024.342641] [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: 02/28/2024] [Revised: 04/09/2024] [Accepted: 04/20/2024] [Indexed: 05/18/2024]
Abstract
The article details a groundbreaking platform for detecting microRNAs (miRNAs), crucial biomolecules involved in gene regulation and linked to various diseases. This innovative platform combines the CRISPR-Cas13a system's precise ability to specifically target and cleave RNA molecules with the amplification capabilities of the hybridization chain reaction (HCR). HCR aids in signal enhancement by creating branched DNA structures. Additionally, the platform employs electrochemiluminescence (ECL) for detection, noted for its high sensitivity and low background noise, making it particularly effective. A key application of this technology is in the detection of miR-17, a biomarker associated with multiple cancer types. It exhibits remarkable detection capabilities, characterized by low detection limits (14.38 aM) and high specificity. Furthermore, the platform's ability to distinguish between similar miRNA sequences and accurately quantify miR-17 in cell lysates underscores its significant potential in clinical and biomedical fields. This combination of precise targeting, signal amplification, and sensitive detection positions the platform as a powerful tool for miRNA analysis in medical diagnostics and research.
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Affiliation(s)
- Jihua Wei
- Guangxi Key Laboratory for Preclinical and Translational Research on Bone and Joint Degenerative Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China
| | - Jiayi Zhang
- Key Laboratory of Research on Prevention and Control of High Incidence Diseases in Western Guangxi, Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China
| | - Wei Wang
- Guangxi Key Laboratory for Preclinical and Translational Research on Bone and Joint Degenerative Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China
| | - Haidong Zhou
- Guangxi Key Laboratory for Preclinical and Translational Research on Bone and Joint Degenerative Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China
| | - Huade Ma
- Guangxi Key Laboratory for Preclinical and Translational Research on Bone and Joint Degenerative Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China
| | - Yuanxun Gong
- Guangxi Key Laboratory for Preclinical and Translational Research on Bone and Joint Degenerative Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China
| | - Qianli Tang
- Guangxi Key Laboratory for Preclinical and Translational Research on Bone and Joint Degenerative Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China.
| | - Kai Zhang
- School of Chemistry and Materials Science, Nanjing University of Information Science and Technology. Nanjing, 210044, China.
| | - Xianjiu Liao
- Key Laboratory of Research on Prevention and Control of High Incidence Diseases in Western Guangxi, Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China.
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He W, Liu X, Na J, Bian H, Zhong L, Li G. Application of CRISPR/Cas13a-based biosensors in serum marker detection. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:1426-1438. [PMID: 38385279 DOI: 10.1039/d3ay01927f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
The detection of serum markers is important for the early diagnosis and monitoring of diseases, but conventional detection methods have the problem of low specificity or sensitivity. CRISPR/Cas13a-based biosensors have the characteristics of simple detection methods and high sensitivity, which have a certain potential to solve the problems of conventional detection. This paper focuses on the research progress of CRISPR/Cas13a-based biosensors in serum marker detection, introduces the principles and applications of fluorescence, electrochemistry, colorimetric, and other biosensors based on CRISPR/Cas13a in the detection of serum markers, compares and analyzes the differences between the above CRISPR/Cas13a-based biosensors, and looks forward to the future development direction of CRISPR/Cas13a-based biosensors.
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Affiliation(s)
- Wei He
- State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
| | - Xiyu Liu
- State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
| | - Jintong Na
- State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
| | - Huimin Bian
- State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
| | - Liping Zhong
- State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
| | - Guiyin Li
- State Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
- College of Chemistry, Guangdong University of Petrochemical Technology, Guandu Road, Maoming, Guangdong 525000, China
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Zhou X, Tang W, Zhang Y, Deng A, Guo Y, Qian L. Liposome-exosome hybrids for in situ detection of exosomal miR-1246 in breast cancer. Analyst 2024; 149:403-409. [PMID: 38058177 DOI: 10.1039/d3an01600e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Several lines of evidence suggest that exosomal miRNAs are potential biomarkers for cancer monitoring. An urgent need remains for the in situ detection of exosomal miRNAs at low concentrations without destroying the exosome structure. In the present study, a novel sensitive exosomal miR-1246 in situ detection strategy has been developed by integrating the CRISPR/Cas13a system with the formation of hybrids between exosomes and cationic liposomes. The liposomes were loaded with CRISPR/Cas13a, CRISPR RNA (crRNA), and RNA reporter probes. In the presence of exosomes, the liposome-exosome hybrids were formed through electrostatic interactions, and CRISPR/Cas13a was activated to cleave the reporter probes by exosomal miR-1246. The acquired fluorescence signal showed a linear response to the logarithm of MCF-7 exosome concentrations, indicating a quantitative response to exosomal miR-1246. The regression equation is y = 5021 log C - 9976 (R2 = 0.9985) with a limit of detection of 3 × 102 particles per mL. This strategy could not only be used to detect serum exosomal miR-1246 in breast cancer patients but also to distinguish early form advanced disease. This strategy can be exploited in future exosomal miRNA analyses.
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Affiliation(s)
- Xuting Zhou
- Department of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, China.
- Department of Oncology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, 226006, China
| | - Wenting Tang
- Department of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, China.
| | - Yan Zhang
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, China
| | - Aidong Deng
- Department of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, China.
| | - Yuehua Guo
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226000, China.
| | - Li Qian
- Department of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, China.
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Cui J, Luo Q, Wei C, Deng X, Liang H, Wei J, Gong Y, Tang Q, Zhang K, Liao X. Electrochemical biosensing for E.coli detection based on triple helix DNA inhibition of CRISPR/Cas12a cleavage activity. Anal Chim Acta 2024; 1285:342028. [PMID: 38057050 DOI: 10.1016/j.aca.2023.342028] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/08/2023] [Accepted: 11/11/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Escherichia coli (E.coli) is both a commensal and a foodborne pathogenic bacterium in the human gastrointestinal tract, posing significant potential risks to human health and food safety. However, one of the major challenges in E.coli detection lies in the preparation and storage of antibodies. In traditional detection methods, antibodies are indispensable, but their instability often leads to experimental complexity and increased false positives. This underscores the need for new technologies and novel sensors. Therefore, the development of a simple and sensitive method for analyzing E.coli would make significant contributions to human health and food safety. RESULTS We constructed an electrochemical biosensor based on triple-helical DNA and entropy-driven amplification reaction (EDC) to inhibit the cleavage activity of Cas12a, enabling high-specificity detection of E.coli. Replacing antibodies with nucleic acid aptamers (Apt) as recognition elements, we utilized the triple-helical DNA generated by the binding of DNA2 and DNA5/DNA6 double-helical DNA through the entropy-driven amplification reaction to inhibit the collateral cleavage activity of clustered regularly interspaced short palindromic repeats gene editing system (CRISPR) and its associated proteins (Cas). By converting E.coli into electrical signals and recording signal changes in the form of square wave voltammetry (SWV), rapid detection of E.coli was achieved. Optimization of experimental conditions and data detection under the optimal conditions provided high sensitivity, low detection limits, and high specificity. SIGNIFICANCE With a minimal detection limit of 5.02 CFU/mL and a linear range of 1 × 102 - 1 × 107 CFU/mL, the suggested approach was successfully verified to analyze E.coli at various concentrations. Additionally, after examining E.coli samples from pure water and pure milk, the recoveries ranged between 95.76 and 101.20%, demonstrating the method's applicability. Additionally, it provides a feasible research direction for the detection of pathogenic bacteria causing other diseases using the CRISPR/Cas gene editing system.
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Affiliation(s)
- Jiuying Cui
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - Qisheng Luo
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - Cheng Wei
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - Xiandong Deng
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - Hongqu Liang
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - Jihua Wei
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - Yuanxun Gong
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China
| | - Qianli Tang
- Guangxi key laboratory of basic and translational research of Bone and joint Degenerative Disease, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China.
| | - Kai Zhang
- School of Chemistry and Materials Science, Nanjing University of Information Science and Technology. Nanjing, 210044, P. R. China.
| | - Xianjiu Liao
- School of Pharmacy, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, China.
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