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Shen B, Li L, Liu C, Li X, Li X, Cheng X, Wu H, Yang T, Cheng W, Ding S. Mesoporous Nanozyme-Enhanced DNA Tetrahedron Electrochemiluminescent Biosensor with Three-Dimensional Walking Nanomotor-Mediated CRISPR/Cas12a for Ultrasensitive Detection of Exosomal microRNA. Anal Chem 2023; 95:4486-4495. [PMID: 36802524 DOI: 10.1021/acs.analchem.2c05217] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Exosomal microRNAs (exomiRNAs) have emerged as ideal biomarkers for early clinical diagnostics. The accurate detection of exomiRNAs plays a crucial role in facilitating clinical applications. Herein, an ultrasensitive electrochemiluminescent (ECL) biosensor was constructed using three-dimensional (3D) walking nanomotor-mediated CRISPR/Cas12a and tetrahedral DNA nanostructures (TDNs)-modified nanoemitters (TCPP-Fe@HMUiO@Au-ABEI) for exomiR-155 detection. Initially, the 3D walking nanomotor-mediated CRISPR/Cas12a strategy could effectively convert the target exomiR-155 into amplified biological signals for improving the sensitivity and specificity. Then, TCPP-Fe@HMUiO@Au nanozymes with excellent catalytic performance were used to amplify ECL signals because of the enhanced mass transfer and increased catalytic active sites, originating from its high surface areas (601.83 m2/g), average pore size (3.46 nm), and large pore volumes (0.52 cm3/g). Meanwhile, the TDNs as the scaffold to fabricate "bottom-up" anchor bioprobes could improve the trans-cleavage efficiency of Cas12a. Consequently, this biosensor achieved the limit of detection down to 273.20 aM ranging from 1.0 fM to 1.0 nM. Furthermore, the biosensor could discriminate breast cancer patients evidently by analyzing exomiR-155, and these results conformed to that of qRT-PCR. Thus, this work provides a promising tool for early clinical diagnostics.
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Affiliation(s)
- Bo Shen
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, P. R. China.,Chongqing Key Laboratory of Sichuan-Chongqing Co-construction for Diagnosis and Treatment of Infectious Diseases Integrated Traditional Chinese and Western Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, P. R. China
| | - Li Li
- Department of Laboratory Medicine, Chongqing General Hospital, Chongqing 401147, P. R. China
| | - Changjin Liu
- Department of Laboratory Medicine, The Fifth People's Hospital of Chongqing, Chongqing 400062, P. R. China
| | - Xinmin Li
- Chongqing Key Laboratory of Sichuan-Chongqing Co-construction for Diagnosis and Treatment of Infectious Diseases Integrated Traditional Chinese and Western Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, P. R. China
| | - Xinyu Li
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, P. R. China
| | - Xiaoxue Cheng
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P. R. China
| | - Haiping Wu
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, P. R. China
| | - Tiantian Yang
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P. R. China
| | - Wei Cheng
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P. R. China
| | - Shijia Ding
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, P. R. China
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Sun Z, Chen X, Niu R, Chen H, Zhu Y, Zhang C, Wang L, Mou H, Zhang H, Luo Y. Liposome fusogenic enzyme-free circuit enables high-fidelity determination of single exosomal RNA. Mater Today Bio 2023; 19:100613. [PMID: 37009069 PMCID: PMC10060373 DOI: 10.1016/j.mtbio.2023.100613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/09/2023] [Accepted: 03/16/2023] [Indexed: 03/22/2023] Open
Abstract
Accurate determination of single exosomal inclusions in situ presents a significant challenge due to their extremely low abundance as well sub-100 nm vesicle dimensions. Here, we created a Liposome Fusogenic Enzyme-free circuit (LIFE) approach for the high-fidelity identification of exosome-encapsulated cargoes without destroying the vesicle integrity. The probe-loaded cationic fusogenic liposome could capture and fuse with a single target exosome, enabling probes delivery and target biomolecule-initiated cascaded signal amplification in situ. Then the DNAzyme probe encountered conformal change upon exosomal microRNA activation, and generated a convex DNAzyme structure to cleave the RNA site of substrate probe. After that, the target microRNA could be released to introduce a cleavage cycle to yield amplified fluorescence readout. Therefore, trace cargoes in a single exosome could be accurately determined by elaborately controlling the ratio of introduced LIFE probe, paving the way toward the exploration of a universal sensing platform for the assessment of exosomal cargoes to facilitate early disease diagnosis and personalized treatment.
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Affiliation(s)
- Zixin Sun
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
- Sanxia Hospital, Chongqing University, Chongqing, 404100, PR China
| | - Xiaohui Chen
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
- Key Laboratory for Biotechnological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, PR China
| | - Ruyan Niu
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
- Key Laboratory for Biotechnological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, PR China
| | - Hengyi Chen
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
| | - Ying Zhu
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
| | - Chong Zhang
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
- Key Laboratory for Biotechnological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, PR China
| | - Liu Wang
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
| | - Huaming Mou
- Sanxia Hospital, Chongqing University, Chongqing, 404100, PR China
- Corresponding author.
| | - Hong Zhang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, Shandong, 250033, PR China
- Corresponding author.
| | - Yang Luo
- Department of Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing, 400044, PR China
- Corresponding author.
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Hu X, Qin W, Yuan R, Zhang L, Wang L, Ding K, Liu R, Huang W, Zhang H, Luo Y. Programmable molecular circuit discriminates multidrug-resistant bacteria. Mater Today Bio 2022; 16:100379. [PMID: 36042850 PMCID: PMC9420371 DOI: 10.1016/j.mtbio.2022.100379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/18/2022] [Accepted: 07/21/2022] [Indexed: 10/31/2022] Open
Abstract
Recognizing multidrug-resistant (MDR) bacteria with high accuracy and precision from clinical samples has long been a difficulty. For reliable detection of MDR bacteria, we investigated a programmable molecular circuit called the Background-free isothermal circuital kit (BRICK). The BRICK method provides a near-zero background signal by integrating four inherent modules equivalent to the conversion, amplification, separation, and reading modules. Interference elimination is largely owing to a molybdenum disulfide nanosheets-based fluorescence nanoswitch and non-specific suppression mediated by molecular inhibitors. In less than 70 min, an accurate distinction of various MDR bacteria was achieved without bacterial lysis. The BRICK technique detected 6.73 CFU/mL of methicillin-resistant Staphylococcus aureus in clinical samples in a proof-of-concept trial. By simply reprogramming the sequence panel, such a high signal-to-noise characteristic has been proven in the four other superbugs. The proposed BRICK method can provide a universal platform for infection surveillance and environmental management thanks to its superior programmability.
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Affiliation(s)
- Xiaolin Hu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, 174 Shazhengjie, Shapingba District, Chongqing, 400044, China
| | - Weichao Qin
- Department of Clinical Laboratory, Jiangjin Hospital, Chongqing University, 725 Jiangzhou Road, Jiangjin District, Chongqing, 402260, China
| | - Rui Yuan
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, 174 Shazhengjie, Shapingba District, Chongqing, 400044, China
| | - Liangliang Zhang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, 174 Shazhengjie, Shapingba District, Chongqing, 400044, China
| | - Liangting Wang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, 174 Shazhengjie, Shapingba District, Chongqing, 400044, China
| | - Ke Ding
- Department of Oncology, Jiangjin Hospital, Chongqing University, 725 Jiangzhou Road, Jiangjin District, Chongqing, 402260, China
| | - Ruining Liu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, 174 Shazhengjie, Shapingba District, Chongqing, 400044, China
| | - Wanyun Huang
- Life Science Laboratories, Biology Department, University of Massachusetts Amherst, 240 Thatcher Road, Amherst, MA, 01002, USA
| | - Hong Zhang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, Shandong, 250033, China
| | - Yang Luo
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, 174 Shazhengjie, Shapingba District, Chongqing, 400044, China
- Department of Clinical Laboratory, Jiangjin Hospital, Chongqing University, 725 Jiangzhou Road, Jiangjin District, Chongqing, 402260, China
- Department of Clinical Laboratory, Fuling Hospital, Chongqing University, 2 Gaosuntang Road, Fuling District, Chongqing, 408099, China
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Chen X, Deng Y, Niu R, Sun Z, Batool A, Wang L, Zhang C, Ma N, Yang Q, Liu G, Yang J, Luo Y. Cancer-Derived Small Extracellular Vesicles PICKER. Anal Chem 2022; 94:13019-13027. [PMID: 35980378 DOI: 10.1021/acs.analchem.2c01683] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Cancer-derived small extracellular vesicles (csEVs) play critical roles in the genesis and development of various cancers. However, accurate detection of low-abundance csEVs remains particularly challenging due to the complex clinical sample composition. In the present study, we constructed a Programmable Isothermal Cascade Keen Enzyme-free Reporter (PICKER) for the reliable detection and acquisition of the relative abundance of csEVs in total sEVs (tsEVs) by integrating dual-aptamer recognition (cancer-specific protein EpCAM and tetraspanin protein CD63) with a catalytic hairpin assembly (CHA) amplification. By employing this strategy, we were able to achieve a detection limit of 420 particles/μL csEVs. Particularly, we proposed a novel particle ratio index of csEV against tsEV (PRcsEV/tsEV) to greatly eliminate errors from inconsistent centrifugation, which was calculated from the fluorescence ratio produced by csEVs and tsEVs. The PICKER showed a 1/10,000 discrimination capability by successfully picking out 1.0 × 103 csEV from 1.0 × 107 tsEV per microliter. We also found that the PRcsEV/tsEV value increased proportional to the stages of breast cancer by analyzing EVs from clinical patients' plasma. Taken together, we established a PICKER strategy capable of accurately discriminating csEVs, and the proposed PRcsEV/tsEV had been proven a potential indicator of breast cancer staging, paving the way toward facilitating cancer diagnosis and precision therapeutics.
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Affiliation(s)
- Xiaohui Chen
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China.,Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China
| | - Yun Deng
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China.,Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China
| | - Ruyan Niu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China.,Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China
| | - Zixin Sun
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China
| | - Alya Batool
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China.,Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China
| | - Liu Wang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China
| | - Chong Zhang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China
| | - Ningyu Ma
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China
| | - Qingtang Yang
- Department of Clinical Laboratory, Chongqing University Cancer Hospital, Chongqing 400030, P. R. China
| | - Guoxiang Liu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China
| | - Jichun Yang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China
| | - Yang Luo
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, P. R. China.,Department of Clinical Laboratory, Jiangjin Hospital, Chongqing University, Chongqing 402260, P. R. China.,Department of Clinical Laboratory, Fuling Hospital, Chongqing University, Chongqing 408099, P. R. China
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