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Bo B, Li W, Li J, Han C, Fang Q, Yang M, Ni J, Zhou C. Programmable DNA Circuit-Facilitated Determination of Circulating Extracellular Vesicle PD-L1 for Lung Cancer Diagnosis and Immunotherapy Response Prediction. ACS APPLIED MATERIALS & INTERFACES 2023; 15:17696-17704. [PMID: 36978260 DOI: 10.1021/acsami.3c01607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Circulating extracellular vesicle (EV) PD-L1 is correlated with the occurrence and progression of lung cancer and has great potential as a valuable diagnostic and immunotherapy predictive biomarker. In this work, we propose a fluorescent biosensing method for the sensitive and accurate determination of circulating EV PD-L1. Specifically, after the phosphatidylserine-targeting peptide-assisted magnetic enrichment, a programmable DNA circuit is designed to translate the presence of PD-L1 to the appearance of numerous duplex DNA probes on the circulating EV surface. Upon fructose treatment, these newly formed duplex DNA probes are released from the EV surface to activate the trans-cleavage activity of CRISPR/Cas12a system, which finally produces a significant fluorescence signal. Experimental results reveal that the method not only enables sensitive determination of EV PD-L1 with a detection limit of 67 particles/mL but also demonstrates the potential use in the diagnosis and immunotherapy response prediction of lung cancer in a principle-of-proof study. Therefore, the method may provide a useful tool for EV PD-L1 determination, which may provide valuable information for the precise diagnosis and personalized treatment of lung cancer patients.
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Affiliation(s)
- Bing Bo
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Wei Li
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Jiayu Li
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Chaonan Han
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Qiyu Fang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Menghang Yang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Jian Ni
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Caicun Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
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Liu Q, Yao J, Huang Z, Wang S, Jiang J, Cao Y, Bei Y, Zhao J. A Versatile Design-Enabled Analysis of Circulating Extracellular Vesicles in Disease Diagnosis. Adv Healthc Mater 2023:e2203119. [PMID: 36740726 DOI: 10.1002/adhm.202203119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/31/2023] [Indexed: 02/07/2023]
Abstract
Circulating extracellular vesicles (EVs) are considered as potential biomarkers for treatment and diagnosis of many diseases. Most of the existing methods for the EV analysis only have a single function and thus reveal limited information carried by EVs. Herein, a phosphatidylserine-targeting peptide-facilitated design that enables the versatile analysis of circulating EVs for varying requirement is proposed. In the design, DNA probes are inserted into the EV membrane through hydrophobic interactions, and accelerate the removal of protective shielding from DNA-gated metal-organic framework, thereby releasing a large number of methylene blue molecules to amplify the electrochemical signal. Electrochemical results demonstrate equally high sensitivities toward the quantification of EVs derived from different cell sources using an indiscriminative DNA probe. More importantly, the probe can be endowed with extended function for more accurate classification of cell-specific features through the identification of specific EV biomarkers, and demonstrates the potential use in the diagnosis of cardiovascular in a principle-of-proof study for clinical application. Therefore, the method provides a versatile design for the identification of EV features, and may address the needs of clinical diagnosis in the future.
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Affiliation(s)
- Qi Liu
- Center for Molecular Recognition and Biosensing, Shanghai Engineering Research Center of Organ Repair, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China.,Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, P. R. China
| | - Jianhua Yao
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, P. R. China
| | - Zichen Huang
- Center for Molecular Recognition and Biosensing, Shanghai Engineering Research Center of Organ Repair, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Shuning Wang
- Center for Molecular Recognition and Biosensing, Shanghai Engineering Research Center of Organ Repair, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Jizong Jiang
- Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, P. R. China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Ya Cao
- Center for Molecular Recognition and Biosensing, Shanghai Engineering Research Center of Organ Repair, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Yihua Bei
- Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, P. R. China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
| | - Jing Zhao
- Center for Molecular Recognition and Biosensing, Shanghai Engineering Research Center of Organ Repair, School of Life Sciences, Shanghai University, Shanghai, 200444, P. R. China
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Kadaira K, Kuramitz H, Sugawara K. Designing a Peptide‐Modified Screen‐Printed Gold Electrode as a Sensor for the Human Monocytic Leukemia Cell Line. ELECTROANAL 2022. [DOI: 10.1002/elan.202200204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Nirbhaya V, Chaudhary C, Chauhan D, Chandra R, Kumar S. Multiwalled carbon nanotube nanofiller-polyindole polymer matrix-based efficient biosensor for the rapid detection of swine flu. NEW J CHEM 2022. [DOI: 10.1039/d1nj06173a] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Pictorial representation of the synthesis of the electrode material, fabrication and electrochemical response of the biosensing platform for swine flu detection.
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Affiliation(s)
| | - Chhaya Chaudhary
- Department of Chemistry, University of Delhi, Delhi-110007, India
| | - Dipti Chauhan
- Department of Chemistry, University of Delhi, Delhi-110007, India
| | - Ramesh Chandra
- Department of Chemistry, University of Delhi, Delhi-110007, India
| | - Suveen Kumar
- Department of Chemistry, University of Delhi, Delhi-110007, India
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Miao X, Yu H, Gu Z, Yang L, Teng J, Cao Y, Zhao J. Peptide self-assembly assisted signal labeling for an electrochemical assay of protease activity. Anal Bioanal Chem 2017; 409:6723-6730. [PMID: 29026956 DOI: 10.1007/s00216-017-0636-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2017] [Revised: 09/10/2017] [Accepted: 09/12/2017] [Indexed: 10/18/2022]
Abstract
Peptide self-assembly holds tremendous promise for a range of applications in chemistry and biology. In the work reported here, we explored the potential functions of peptide self-assembly in electrochemical bioanalysis by developing a peptide self-assembly assisted signal labeling strategy for assaying protease activity. The fundamental principle of this assay is that target-protease-catalyzed specific proteolytic cleavage blocks self-assembly between the probe peptide and signal peptide, thus preventing the signal labeling of electroactive silver nanoparticles on the electrode surface, which in turn causes the electrochemical signal to decrease. Using trypsin as an example protease target, the linear range of this assay was found to be 1 ng mL-1 to 100 mg mL-1, and its detection limit was 0.032 ng mL-1, which are better than the corresponding parameters for previously reported assays. Further experiments also highlighted the good selectivity of the assay method and demonstrated its usability when applied to serum samples. Therefore, this report not only introduces a valuable tool for assaying protease activity, but it also promotes the utilization of peptide self-assembly in electrochemical bioanalysis, as this approach has great potential for practical use in the future.
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Affiliation(s)
- Xiangyang Miao
- Department of Biological and Chemical Engineering, Suzhou Chien-shiung Institute of Technology, Taicang, Jiangsu, 215411, China.,Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai, 200444, China
| | - Huizhen Yu
- Department of Biological and Chemical Engineering, Suzhou Chien-shiung Institute of Technology, Taicang, Jiangsu, 215411, China
| | - Zhun Gu
- Department of Biological and Chemical Engineering, Suzhou Chien-shiung Institute of Technology, Taicang, Jiangsu, 215411, China
| | - Lili Yang
- Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai, 200444, China
| | - Jiahuan Teng
- Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai, 200444, China
| | - Ya Cao
- Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
| | - Jing Zhao
- Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
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Hasanzadeh M, Shadjou N, de la Guardia M. Early stage diagnosis of programmed cell death (apoptosis) using electroanalysis: Nanomaterial and methods overview. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.06.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Gu C. Quantum dots-based fluorescence resonance energy transfer biosensor for monitoring cell apoptosis. LUMINESCENCE 2017; 32:1186-1191. [PMID: 28422382 DOI: 10.1002/bio.3309] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 02/03/2017] [Accepted: 02/10/2017] [Indexed: 12/19/2022]
Abstract
The development of advanced methods for accurately monitoring cell apoptosis has extensive significance in the diagnostic and pharmaceutical fields. In this study, we developed a rapid, sensitive and selective approach for the detection of cell apoptosis by combining the site-specific recognition and cleavage of the DEVD-peptide with quantum dots (QDs)-based fluorescence resonance energy transfer (FRET). Firstly, biotin-peptide was conjugated on the surface of AuNPs to form AuNPs-pep through the formation of an Au-S bond. Then, AuNPs-pep-QDs nanoprobe was obtained through the connection between AuNPs-pep and QDs. FRET is on and the fluorescence of QDs is quenched at this point. The evidence of UV-vis spectra, transmission electron microscopy (TEM), and Fourier transform infrared (FT-IR) spectroscopy revealed that the connection was successful. Upon the addition of apoptosis cell lysis solution, peptide was cleaved by caspase-3, and AuNPs was dissociated from the QDs. At this time, FRET is off, and thus the QDs fluorescence was recovered. The experimental conditions were optimized in terms of ratio of peptide to AuNPs, buffer solution, and the temperature of conjugation and enzyme reaction. The biosensor was successfully applied to distinguishing apoptosis cells and normal cells within 2 h. This study demonstrated that the biosensor could be utilized to evaluate anticancer drugs.
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Affiliation(s)
- Chunchuan Gu
- Department of Clinical Laboratory, Hangzhou Cancer Hospital, Zhejiang, Hangzhou, China
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Meng F, Han K, Wang B, Liu T, Liu G, Li Y, Miao P. Nanoarchitectured Electrochemical Cytosensor for Selective Detection of Cancer Cells. ChemistrySelect 2016. [DOI: 10.1002/slct.201600193] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Fanyu Meng
- CAS Key Lab of Bio-Medical Diagnostics; Suzhou Institute of Biomedical Engineering and Technology; Chinese Academy of Sciences; Suzhou 215163 P. R. China
| | - Kun Han
- CAS Key Lab of Bio-Medical Diagnostics; Suzhou Institute of Biomedical Engineering and Technology; Chinese Academy of Sciences; Suzhou 215163 P. R. China
- University of Chinese Academy of Sciences; Beijing 100049 P. R. China
| | - Bidou Wang
- CAS Key Lab of Bio-Medical Diagnostics; Suzhou Institute of Biomedical Engineering and Technology; Chinese Academy of Sciences; Suzhou 215163 P. R. China
| | - Tao Liu
- CAS Key Lab of Bio-Medical Diagnostics; Suzhou Institute of Biomedical Engineering and Technology; Chinese Academy of Sciences; Suzhou 215163 P. R. China
- University of Chinese Academy of Sciences; Beijing 100049 P. R. China
| | - Guangxing Liu
- CAS Key Lab of Bio-Medical Diagnostics; Suzhou Institute of Biomedical Engineering and Technology; Chinese Academy of Sciences; Suzhou 215163 P. R. China
| | - Yueran Li
- Patent Examination Cooperation Jiangsu Center of the Patent Office; State Intellectual Property Office; Suzhou 215163 P. R. China
| | - Peng Miao
- CAS Key Lab of Bio-Medical Diagnostics; Suzhou Institute of Biomedical Engineering and Technology; Chinese Academy of Sciences; Suzhou 215163 P. R. China
- University of Chinese Academy of Sciences; Beijing 100049 P. R. China
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