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Luo X, Yan S, Chen G, Wang Y, Zhang X, Lan J, Chen J, Yao X. A cavity induced mode hybridization plasmonic sensor for portable detection of exosomes. Biosens Bioelectron 2024; 261:116492. [PMID: 38870828 DOI: 10.1016/j.bios.2024.116492] [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: 01/14/2024] [Revised: 03/20/2024] [Accepted: 06/08/2024] [Indexed: 06/15/2024]
Abstract
Exosomes have been considered as promising biomarkers for cancer diagnosis due to their abundant information from originating cells. However, sensitive and reliable detection of exosomes is still facing technically challenges due to the lack of a sensing platform with high sensitivity and reproducibility. To address the challenges, here we propose a portable surface plasmon resonance (SPR) sensing of exosomes with a three-layer Au mirror/SiO2 spacer/Au nanohole sensor, fabricated by an economical polystyrene nanosphere self-assembly method. The SiO2 spacer can act as an optical cavity and induce mode hybridization, leading to excellent optimization of both sensitivity and full width at half maximum compared with normal single layer Au nanohole sensors. When modified with CD63 or EpCAM aptamers, a detection of limit (LOD) of as low as 600 particles/μL was achieved. The sensors showed good capability to distinguish between non-tumor derived L02 exosomes and tumor derived HepG2 exosomes. Additionally, high reproducibility was also achieved in detection of artificial serum samples with RSD as low as 2%, making it feasible for clinical applications. This mode hybridization plasmonic sensor provides an effective approach to optimize the detection sensitivity of exosomes, pushing SPR sensing one step further towards cancer diagnosis.
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Affiliation(s)
- Xinming Luo
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, 350108, China
| | - Sen Yan
- State Key Laboratory of Physical Chemistry of Solid Surfaces, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Guanyu Chen
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, 350108, China
| | - Yuxin Wang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, 350108, China
| | - Xi Zhang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, 350108, China; Innovative Drug Research Institute, Fujian Medical University, Fuzhou, 350108, China
| | - Jianming Lan
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, 350108, China; Innovative Drug Research Institute, Fujian Medical University, Fuzhou, 350108, China
| | - Jinghua Chen
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, 350108, China; Innovative Drug Research Institute, Fujian Medical University, Fuzhou, 350108, China.
| | - Xu Yao
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, 350108, China; Innovative Drug Research Institute, Fujian Medical University, Fuzhou, 350108, China.
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2
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Yang R, Ji J, Ding L, Yuan X, Qu L, Wu Y, Li Y. CRISPR-Enhanced Photocurrent Polarity Switching for Dual-lncRNA Detection Combining Deep Learning for Cancer Diagnosis. Anal Chem 2024. [PMID: 39092917 DOI: 10.1021/acs.analchem.4c02617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Abnormal expression in long noncoding RNAs (lncRNAs) is closely associated with cancers. Herein, a novel CRISPR/Cas13a-enhanced photocurrent-polarity-switching photoelectrochemical (PEC) biosensor was engineered for the joint detection of dual lncRNAs, using deep learning (DL) to assist in cancer diagnosis. After target lncRNA-activated CRISPR/Cas13a cleaves to induce DNAzyme bidirectional walkers with the help of cofactor Mg2+, nitrogen-doped carbon-Cu/Cu2O octahedra are introduced into the biosensor, producing a photocurrent in the opposite direction of CdS quantum dots (QDs). The developed PEC biosensor shows high specificity and sensitivity with limits of detection down to 25.5 aM for lncRNA HOTAIR and 53.1 aM for lncRNA MALAT1. More importantly, this platform for the lncRNA joint assay in whole blood can successfully differentiate cancers from healthy people. Furthermore, the DL model is applied to explore the potential pattern hidden in data of the established technology, and the accuracy of DL cancer diagnosis can acquire 93.3%. Consequently, the developed platform offers a new avenue for lncRNA joint detection and early intelligent diagnosis of cancer.
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Affiliation(s)
- Ruiying Yang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jiangying Ji
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Lihua Ding
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xinxin Yuan
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Lingbo Qu
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
| | - Yongjun Wu
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yuling Li
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
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Zeng Y, Wang X, Zhu N, Yu Y, Wang X, Kang K, Wu Y, Yi Q. Magnetic lanthanide sensor with self-ratiometric time-resolved luminescence for accurate detection of epithelial cancerous exosomes. J Mater Chem B 2024; 12:7203-7214. [PMID: 38952178 DOI: 10.1039/d4tb00497c] [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: 07/03/2024]
Abstract
Fluorescence-based LB (liquid biopsy) offers a rapid means of detecting cancer non-invasively. However, the widespread issue of sample loss during purification steps will diminish the accuracy of detection results. Therefore, in this study, we introduce a magnetic lanthanide sensor (MLS) designed for sensitive detection of the characteristic protein, epithelial cell adhesion molecule (EpCAM), on epithelial tumor exosomes. By leveraging the inherent multi-peak emission and time-resolved properties of the sole-component lanthanide element, combined with the self-ratiometric strategy, MLS can overcome limitations imposed by manual operation and/or sample complexity, thereby providing more stable and reliable output results. Specifically, terbium-doped NaYF4 nanoparticles (NaYF4:Tb) and deformable aptamers terminated with BHQ1 were sequentially introduced onto superparamagnetic silica-decorated Fe3O4 nanoparticles. Prior to target binding, emission from NaYF4:Tb at 543 nm was partially quenched due to the fluorescence resonance energy transfer (FRET) from NaYF4:Tb to BHQ1. Upon target binding, changes in the secondary structure of aptamers led to the fluorescence intensity increasing since the deconfinement of distance-dependent FRET effect. The characteristic emission of NaYF4:Tb at 543 nm was then utilized as the detection signal (I1), while the less changed emission at 583 nm served as the reference signal (I2), further reporting the self-ratiometric values of I1 and I2 (I1/I2) to illustrate the epithelial cancerous features of exosomes while ignoring possible sample loss. Consequently, over a wide range of exosome concentrations (2.28 × 102-2.28 × 108 particles per mL), the I1/I2 ratio exhibited a linear increase with exosome concentration [Y(I1/I2) = 0.166 lg (Nexosomes) + 3.0269, R2 = 0.9915], achieving a theoretical detection limit as low as 24 particles per mL. Additionally, MLS effectively distinguished epithelial cancer samples from healthy samples, showcasing significant potential for clinical diagnosis.
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Affiliation(s)
- Yating Zeng
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
| | - Xuekang Wang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
| | - Nanhang Zhu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
| | - Yue Yu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
| | - Xingyou Wang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
| | - Ke Kang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
| | - Yao Wu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
| | - Qiangying Yi
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, P. R. China
- College of Biomedical Engineering, Sichuan University, Chengdu 610064, P. R. China.
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Zhao M, Li Q, Zhao Y, Zhou H, Yan Y, Kong RM, Tan Q, Kong W, Qu F. Dual-Aptamer Recognition of DNA Logic Gate Sensor-Based Specific Exosomal Proteins for Ovarian Cancer Diagnosis. ACS Sens 2024; 9:2540-2549. [PMID: 38635557 DOI: 10.1021/acssensors.4c00270] [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] [Indexed: 04/20/2024]
Abstract
Clinical diagnosis of ovarian cancer lacks high accuracy due to the weak selection of specific biomarkers along with the circumstance biomarkers localization. Clustering analysis of proteins transported on exosomes enables a more precise screening of effective biomarkers. Herein, through bioinformatics analysis of ovarian cancer and exosome proteomes, two coexpressed proteins, EpCAM and CD24, specifically enriched, were identified, together with the development of an as-derived dual-aptamer targeted exosome-based strategy for ovarian cancer screening. In brief, a DNA ternary polymer with aptamers targeting EpCAM and CD24 was designed to present a logic gate reaction upon recognizing ovarian cancer exosomes, triggering a rolling circle amplification chemiluminescent signal. A dynamic detection range of 6 orders of magnitude was achieved by quantifying exosomes. Moreover, for clinical samples, this strategy could accurately differentiate exosomes from healthy persons, other cancer patients, and ovarian cancer patients, enabling promising in situ detection. By accurately selecting biomarkers and constructing a dual-targeted exosomal protein detection strategy, the limitation of insufficient specificity of traditional protein markers was circumvented. This work contributed to the development of exosome-based prognosis monitoring in ovarian cancer through the identification of disease-specific exosome protein markers.
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Affiliation(s)
- Mingzhu Zhao
- Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, China
| | - Qin Li
- Department of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang, China
- School of Molecular Medicine, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang, China
| | - Yan Zhao
- Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, China
| | - Hanlin Zhou
- Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, China
| | - Yuntian Yan
- Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, China
| | - Rong-Mei Kong
- Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, China
| | - Qingqing Tan
- Department of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang, China
- School of Molecular Medicine, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang, China
| | - Weiheng Kong
- Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, China
| | - Fengli Qu
- Department of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang, China
- School of Molecular Medicine, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang, China
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5
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Wu Y, Gao Z, Chai Y, Zhang A, He S, Liu X, Yuan H, Tan L, Ding L, Wu Y. One-step and label-free ratiometric fluorescence assay for the detection of plasma exosome towards cancer diagnosis. Talanta 2024; 271:125700. [PMID: 38277965 DOI: 10.1016/j.talanta.2024.125700] [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: 10/07/2023] [Revised: 01/01/2024] [Accepted: 01/18/2024] [Indexed: 01/28/2024]
Abstract
Exosomes are closely associated with tumor development and are regarded as viable biomarkers for cancer. Here, a ratiometric fluorescence method was proposed for the one-step and label-free detection of plasma exosomes. A bicolor streptavidin magnetic beads were specifically created with an immobilized Cy5-labeled hairpin aptamer for CD63 (Cy5-Apt) on its surface to identify exosome, and a green color SYBR Green I (SGI) embedded in the stem of Cy5-Apt to respond to exosomes. After exosome capture, the Cy5-Apt could undergo a conformational shift and release the encapsulated SGI, allowing exosome measurement based on the fluorescence ratio of Cy5 and SGI. The enrichment, separation and detection of exosomes in proposed method could be completed in one step (30 min), which is a significant improvement over previous method. Furthermore, the use of ratiometric fluorescence and magnetic separation allows for exosome enrichment and interference elimination from complex matrices, improving accuracy and sensitivity. Particularly, the assay could detect exosomes in plasma and has potential to distinguish lung cancer patients from healthy volunteers with an area under the receiver operator characteristic curve of 0.85. Besides, the study provided an efficient method for analyzing the various divisions of exosomes by merely modifying the aptamer, which holds great promise for point-of-care applications.
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Affiliation(s)
- Yan Wu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Zibo Gao
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, 130000, China
| | - Yaru Chai
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Aiai Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Sitian He
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Xia Liu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Huijie Yuan
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Longlong Tan
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Lihua Ding
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
| | - Yongjun Wu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
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6
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Nandipati M, Fatoki O, Desai S. Bridging Nanomanufacturing and Artificial Intelligence-A Comprehensive Review. MATERIALS (BASEL, SWITZERLAND) 2024; 17:1621. [PMID: 38612135 PMCID: PMC11012965 DOI: 10.3390/ma17071621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/05/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024]
Abstract
Nanomanufacturing and digital manufacturing (DM) are defining the forefront of the fourth industrial revolution-Industry 4.0-as enabling technologies for the processing of materials spanning several length scales. This review delineates the evolution of nanomaterials and nanomanufacturing in the digital age for applications in medicine, robotics, sensory technology, semiconductors, and consumer electronics. The incorporation of artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize nanomanufacturing processes, and aid high-fidelity nanoscale characterization is discussed. This paper elaborates on different machine-learning and deep-learning algorithms for analyzing nanoscale images, designing nanomaterials, and nano quality assurance. The challenges associated with the application of machine- and deep-learning models to achieve robust and accurate predictions are outlined. The prospects of incorporating sophisticated AI algorithms such as reinforced learning, explainable artificial intelligence (XAI), big data analytics for material synthesis, manufacturing process innovation, and nanosystem integration are discussed.
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Affiliation(s)
- Mutha Nandipati
- Department of Industrial and Systems Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA; (M.N.); (O.F.)
| | - Olukayode Fatoki
- Department of Industrial and Systems Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA; (M.N.); (O.F.)
| | - Salil Desai
- Department of Industrial and Systems Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA; (M.N.); (O.F.)
- Center of Excellence in Product Design and Advanced Manufacturing, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
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7
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Jiang Z, Luo K, Zeng H, Li J. Monitoring of Medical Wastewater by Sensitive, Convenient, and Low-Cost Determination of Small Extracellular Vesicles Using a Glycosyl-Imprinted Sensor. ACS Sens 2024; 9:1252-1260. [PMID: 38373338 DOI: 10.1021/acssensors.3c02091] [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] [Indexed: 02/21/2024]
Abstract
The monitoring of small extracellular vesicles (sEVs) in medical waste is of great significance for the prevention of the spread of infectious diseases and the treatment of environmental pollutants in medical waste. Highly sensitive and selective detection methods are urgently needed due to the low content of sEVs in waste samples and the complex sample composition. Herein, a glycosyl-imprinted electrochemical sensor was constructed and a novel strategy for rapid, sensitive, and selective sEVs detection was proposed. The characteristic trisaccharide at the end of the glycosyl chain of the glycoprotein carried on the surface of the sEVs was used as the template molecule. The glycosyl-imprinted polymer films was then prepared by electropolymerization with o-phenylenediamine (o-PD) and 3-aminophenylboronic acid (m-APBA) as functional monomers. sEVs were captured by the imprinted cavities through the recognition and adsorption of glycosyl chains of glycoproteins on sEVs. The m-APBA molecule also acted as a signal probe and was then attached on the immobilized glycoprotein on the surface of sEVs by boric acid affinity. The electrochemical signal of m-APBA was amplificated due to the abundant glycoproteins on the surface of sEVs. The detection range of the sensor was 2.1 × 104 to 8.7 × 107 particles/mL, and the limit of detection was 1.7 × 104 particles/mL. The sensor was then applied to the determination of sEVs in medical wastewater and urine, which showed good selectivity, low detection cost, and good sensitivity.
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Affiliation(s)
- Zejun Jiang
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China
| | - Kui Luo
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China
| | - Honghu Zeng
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China
| | - Jianping Li
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China
- College of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, China
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Liu X, Cheng H, Zhao Y, Wang Y, Ge L, Huang Y, Li F. Immobilization-free dual-aptamer-based photoelectrochemical platform for ultrasensitive exosome assay. Talanta 2024; 266:125001. [PMID: 37517342 DOI: 10.1016/j.talanta.2023.125001] [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: 03/14/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 08/01/2023]
Abstract
Exosomes, involved in cancer-specific biological processes, are promising noninvasive biomarkers for early diagnosis of cancer. Herein, an immobilization-free dual-aptamer-based photoelectrochemical (PEC) biosensor was proposed for the enrichment and quantification of cancer exosome based on photoactive bismuch oxyiodide/gold/cadmium sulfide (BiOI/Au/CdS) composites, nucleic acid-based recognition and signal amplification. In this biosensor, the recognition of exosome by two aptamers would trigger the deoxyribonucleotidyl transferase (TdT) enzyme-aided polymerization, leading to the enrichment of alkaline phosphatase (ALP) on Fe3O4 surface. After magnetic separation, ALP could catalyze the generation of ascorbic acid (AA) as electron donor and initiate the following redox cycle reaction for further signal amplification. Furthermore, all the above processes were performed in solution, the recognition and signal amplification efficiency would be superior than the heterogeneous strategy owing to the avoidance of steric hindrance effect. As a result, the proposed PEC biosensor was capable of enriching and detecting of cancer exosomes with high sensitivity and selectivity. The linear range of the biosensor was from 1.0 × 102 particles·μL-1 to 1.0 × 106 particles·μL-1 and the detection limit was estimated to be 21 particles·μL-1. Therefore, the proposed PEC biosensor holds great promise in quantifying tumor exosome for nondestructive early clinical cancer diagnosis and various other bioassay applications.
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Affiliation(s)
- Xiaojuan Liu
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China
| | - Hao Cheng
- College of Plant Health & Medicine, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China
| | - Yuecan Zhao
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China
| | - Yue Wang
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China
| | - Lei Ge
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China
| | - Yiping Huang
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China
| | - Feng Li
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China.
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Ma Z, Xu H, Ye BC. Recent progress in quantitative technologies for the analysis of cancer-related exosome proteins. Analyst 2023; 148:4954-4966. [PMID: 37721099 DOI: 10.1039/d3an01228j] [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: 09/19/2023]
Abstract
Exosomes are a kind of extracellular vesicles, which play a significant role in intercellular communication and molecular exchange. Cancer-derived exosomes are potential and ideal biomarkers for the early diagnosis and treatment monitoring of cancers because of their abundant biological information and contribution to the interaction between cancer cells and the tumor microenvironment. However, there are a number of drawbacks, such as low sensitivity and tedious steps, in conventional detection techniques. Furthermore, exosome quantification is not enough to accurately distinguish cancer patients from healthy individuals. Therefore, developing efficient, accurate, and inexpensive exosome surface protein analysis techniques is necessary and critical. In recent years, a considerable number of researchers have presented novel detection strategies in this field. This review summarizes the recent progress in quantitative technologies for the analysis of cancer-related exosome proteins, mainly including the detection methods based on aptamers, nanomaterials, and antibodies, discusses a roadmap for future developments, and aims to offer an innovative perspective of exosome research.
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Affiliation(s)
- Zhongwen Ma
- Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China.
| | - Huiying Xu
- Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China.
| | - Bang-Ce Ye
- Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China.
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10
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Li C, Guo Z, Pu S, Zhou C, Cheng X, Zhao R, Jia N. Molybdenum Disulfide-Integrated Iron Organic Framework Hybrid Nanozyme-Based Aptasensor for Colorimetric Detection of Exosomes. BIOSENSORS 2023; 13:800. [PMID: 37622886 PMCID: PMC10452346 DOI: 10.3390/bios13080800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/05/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023]
Abstract
Tumor-derived exosomes are considered as a potential marker in liquid biopsy for malignant tumor screening. The development of a sensitive, specific, rapid, and cost-effective detection strategy for tumor-derived exosomes is still a challenge. Herein, a visualized and easy detection method for exosomes was established based on a molybdenum disulfide nanoflower decorated iron organic framework (MoS2-MIL-101(Fe)) hybrid nanozyme-based CD63 aptamer sensor. The CD63 aptamer, which can specifically recognize and capture tumor-derived exosomes, enhanced the peroxidase activity of the hybrid nanozyme and helped to catalyze the 3,3',5,5'-tetramethylbenzidine (TMB)-H2O2 system to generate a stronger colorimetric signal, with its surface modification on the hybrid nanozyme. With the existence of exosomes, CD63 aptamer recognized and adsorbed them on the surface of the nanozyme, which rescued the enhanced peroxidase activity of the aptamer-modified nanozyme, resulting in a deep-to-moderate color change in the TMB-H2O2 system where the change is visible and can be monitored with ultraviolet-visible spectroscopy. In the context of optimal circumstances, the linear range of this exosome detection method is measured to be 1.6 × 104 to 1.6 × 106 particles/μL with a limit of detection as 3.37 × 103 particles/μL. Generally, a simple and accessible approach to exosome detection is constructed, and a nanozyme-based colorimetric aptamer sensor is proposed, which sheds light on novel oncological biomarker measurements in the field of biosensors.
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Affiliation(s)
- Chao Li
- The Education Ministry Key Lab of Resource Chemistry, Joint International Research Laboratory of Resource Chemistry, Ministry of Education, Shanghai Frontiers Science Center of Biomimetic Catalysis and Shanghai Key Laboratory of Rare Earth Functional Materials, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Zichao Guo
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Sisi Pu
- The Education Ministry Key Lab of Resource Chemistry, Joint International Research Laboratory of Resource Chemistry, Ministry of Education, Shanghai Frontiers Science Center of Biomimetic Catalysis and Shanghai Key Laboratory of Rare Earth Functional Materials, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Chaohui Zhou
- The Education Ministry Key Lab of Resource Chemistry, Joint International Research Laboratory of Resource Chemistry, Ministry of Education, Shanghai Frontiers Science Center of Biomimetic Catalysis and Shanghai Key Laboratory of Rare Earth Functional Materials, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Xi Cheng
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ren Zhao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Nengqin Jia
- The Education Ministry Key Lab of Resource Chemistry, Joint International Research Laboratory of Resource Chemistry, Ministry of Education, Shanghai Frontiers Science Center of Biomimetic Catalysis and Shanghai Key Laboratory of Rare Earth Functional Materials, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
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11
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Yan S, Zheng H, Zhao J, Gao M, Zhang X. Quantification of GPC1(+) Exosomes Based on MALDI-TOF MS In Situ Signal Amplification for Pancreatic Cancer Discrimination and Evaluation. Anal Chem 2023. [PMID: 37368911 DOI: 10.1021/acs.analchem.3c00193] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
Pancreatic cancer (PC) has a high mortality, with a fairly low five-year survival rate, because of its delayed diagnosis. Recently, liquid biopsy, especially based on exosomes, has attracted vast attention, thanks to its low invasiveness. Herein, we constructed a protocol for pancreatic cancer related Glypican 1 (GPC1) exosome quantification, based on in situ mass spectrometry signal amplification, by utilizing mass tag molecules on gold nanoparticles (AuNPs). Exosomes were extracted and purified by size-exclusion chromatography (SEC), captured by TiO2 modified magnetic nanoparticles, and then targeted specifically by anti-GPC1 antibody modified on AuNPs. With matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), the signal of PC biomarker, GPC1, was converted to a mass tag signal and amplified. With addition of a certain amount of internal standard molecules modified on AuNPs, the relative intensity ratio of mass tag to internal standard was proportional to the concentration of GPC1(+) exosomes derived from pancreatic cancer cell lines, PANC-1, with good linearity (R2 = 0.9945) in a wide dynamic range from 7.1 × 10 to 7.1 × 106 particles/μL. This method was further applied to plasma samples from healthy control (HC) and pancreatic cancer patients with different tumor load, and exhibited a great potential in discriminating diagnosed PC patients from HC, and has the monitoring potential in PC progression.
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Affiliation(s)
- Shaohan Yan
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Haoyang Zheng
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Jiandong Zhao
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Mingxia Gao
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Xiangmin Zhang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
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12
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Zhang X, Zhu X, Li Y, Hai X, Bi S. A colorimetric and photothermal dual-mode biosensing platform based on nanozyme-functionalized flower-like DNA structures for tumor-derived exosome detection. Talanta 2023; 258:124456. [PMID: 36940568 DOI: 10.1016/j.talanta.2023.124456] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/09/2023] [Accepted: 03/12/2023] [Indexed: 03/17/2023]
Abstract
Tumor-derived exosomes can be served as a kind of promising biomarkers for early diagnosis of cancers. Herein, a colorimetric/photothermal dual-mode exosomes sensing platform is developed for human breast cancer cell (MCF-7)-derived exosomes based on encapsulation of 3,3',5,5'-tetramethylbenzidine-loaded graphene quantum dot nanozymes (TMB-GQDzymes) into DNA flowers (DFs) via rolling circle amplification (RCA). To achieve specific detection, EpCAM aptamer for MCF-7 cell-derived exosomes is immobilized on the well plate, while the complementary sequence of another CD63 aptamer is designed into the circular template to obtain abundant capture probes. Benefitting from the dual-aptamer recognition strategy, a sandwich structure of EpCAM aptamer/exosomes/TMB-GQDzymes@DFs is formed, in which the GQDzymes can catalyze the oxidation of TMB in the presence of H2O2. The resulting products of TMB oxidation (oxTMB) can induce not only the absorption changes but also a near-infrared (NIR) laser-driven photothermal effect, achieving dual-mode detection of exosomes with the limit of detection (LOD) of 1027 particles/μL (colorimetry) and 2170 particles/μL (photothermal detection), respectively. In addition, this sensing platform has demonstrated excellent performance to well distinguish breast cancer patients from healthy individuals in serum samples analysis. Overall, the proposed dual-readout biosensor opens promising prospects for exosome detection in biological study and clinical applications.
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Affiliation(s)
- Xiaoyue Zhang
- College of Chemistry and Chemical Engineering, Qingdao University, Qingdao, 266071, PR China
| | - Xueying Zhu
- College of Chemistry and Chemical Engineering, Qingdao University, Qingdao, 266071, PR China
| | - Yuanfang Li
- College of Chemistry and Chemical Engineering, Qingdao University, Qingdao, 266071, PR China
| | - Xin Hai
- College of Chemistry and Chemical Engineering, Qingdao University, Qingdao, 266071, PR China.
| | - Sai Bi
- College of Chemistry and Chemical Engineering, Qingdao University, Qingdao, 266071, PR China.
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13
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Ding L, Liu X, Zhang Z, Liu LE, He S, Wu Y, Effah CY, Yang R, Zhang A, Chen W, Yarmamat M, Qu L, Yang X, Wu Y. Magnetic-nanowaxberry-based microfluidic ExoSIC for affinity and continuous separation of circulating exosomes towards cancer diagnosis. LAB ON A CHIP 2023; 23:1694-1702. [PMID: 36789765 DOI: 10.1039/d2lc00996j] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Exosomes are seen as promising biomarkers for minimally invasive liquid biopsies and disease surveillance. However, the complexity of body fluids, inherent heterogeneity, and tiny size of exosomes impede their extraction, consequently restricting their clinical application. In this study, in order to efficiently isolate exosomes from clinical samples, an irregular serpentine channel microfluidic chip (ExoSIC) was designed to continuously separate exosomes from plasma based on a magnetic-nanowaxberry (MNWB). In the ExoSIC, irregular serpentine microchannels are utilized to increase fluid chaotic mixing, hence improving exosome capture efficiency. In comparison to commonly used spherical magnetic particles, the designed MNWB can not only enhance the capture efficiency of exosomes, but also possess a size-exclusion effect to improve exosome purity. Consequently, the ExoSIC exhibited a large yield (24 times higher than differential centrifugation), optimum purity (greater than precipitation and similar to differential centrifugation), and high specificity. Furthermore, the ExoSIC was utilized for plasma-based cancer diagnosis by multiplex monitoring of five exosomal biomarkers (exosomal concentration, EGFR, EpCAM, SAA1 and FV), and the AUC reached 0.791. This work provides a comprehensive framework for exosome-based cancer diagnostics in order to meet clinical requirements for exosome isolation and downstream analysis.
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Affiliation(s)
- Lihua Ding
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Xia Liu
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Zhenzhong Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Li-E Liu
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Sitian He
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Yan Wu
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Clement Yaw Effah
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Ruiying Yang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Aiai Zhang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Wensi Chen
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Mubarak Yarmamat
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Lingbo Qu
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
- Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou University, Zhengzhou, 450001, China
| | - Xiaonan Yang
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
| | - Yongjun Wu
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
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14
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Lu Y, Li X, Liu Y, Li J, Chen Z, Meng X, Li W, Fang J. Novel Molecular Aptamer Beacon for the Specific Simultaneous Analysis of Circulating Tumor Cells and Exosomes of Colorectal Cancer Patients. Anal Chem 2023; 95:1251-1261. [PMID: 36583760 DOI: 10.1021/acs.analchem.2c04017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Liquid biopsy provides non-invasive and real-time detection for cancer diagnosis, but the lack of specific markers targeted to liquid biopsy components, such as circulating tumor cells (CTCs) and exosomes, has impeded its effective utilization in clinical settings. W3 is an aptamer, and its target has been previously demonstrated to be a predictor of colorectal cancer (CRC) metastasis. Herein, we developed a W3-based molecular beacon (MAB-W3-3G) to specifically detect CTCs and exosomes derived from CRC patients by modifying the W3 sequence and adding a fluorescent group FAM at the 5' end and a quencher group BHQ1 at the 3' end, resulting in a detectable green fluorescence only in the presence of the target. MAB-W3-3G retained features similar to those of the original W3, including high specificity and affinity for metastatic CRC cells, as well as excellent plasma stability. Notably, W3 target-positive CTCs were visualized, positive exosomes were quantified in CRC patients' whole blood without any sample pretreatment, and both detections could be finished in one step without any routine washing procedures. For CRC, the W3 target-positive CTC enumeration in metastasis was higher than that in non-metastasis (p < 0.01), and the quantitation of positive exosomes was correlated with CRC patients (p < 0.0001). Moreover, the MAB-W3-3G-based simultaneous detection of CTCs and exosomes was proven to have the potential for more precise clinical diagnosis. In conclusion, MAB-W3-3G could detect CTCs and exosomes in the blood samples of tumor patients with simple manipulation, rapid analysis, and high specificity, providing an effective liquid biopsy tool for the prediction of CRC.
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Affiliation(s)
- Yanbing Lu
- Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, PR China
| | - Xin Li
- Department of Anesthesiology, Cancer Hospital of China Medical University, Shenyang 110042, PR China
| | - Yun Liu
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200092, PR China
| | - Jiabin Li
- Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, PR China
| | - Zhezhou Chen
- Department of Clinical Laboratory, Shenyang First People's Hospital, Shenyang 110041, PR China
| | - Xianmeng Meng
- Department of Pathology and Clinical Laboratory, Liaoning Provincial Corps Hospital of Chinese People's Armed Police Forces, Shenyang 110034, PR China
| | - Wanming Li
- Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, PR China
| | - Jin Fang
- Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, PR China
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15
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Ding L, Wu Y, Liu LE, He L, Yu S, Effah CY, Liu X, Qu L, Wu Y. Universal DNAzyme walkers-triggered CRISPR-Cas12a/Cas13a bioassay for the synchronous detection of two exosomal proteins and its application in intelligent diagnosis of cancer. Biosens Bioelectron 2023; 219:114827. [PMID: 36308835 DOI: 10.1016/j.bios.2022.114827] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 11/19/2022]
Abstract
Exosomal proteins are considered to be promising indicators of cancer. Herein, a novel DNAzyme walkers-triggered CRISPR-Cas12a/Cas13a strategy was proposed for the synchronous determination of exosomal proteins: serum amyloid A-1 protein (SAA1) and coagulation factor V (FV). In this design, the paired antibodies were used to recognize targets, thereby ensuring the specificity. DNAzyme walkers were employed to convert the contents of SAA1 and FV into activators (P1 and P2), and one target can produce abundant activators, thus achieving an initial amplification of signal. Furthermore, the P1 and P2 can activate CRISPR-Cas12a/Cas13a system, which in turn trans-cleaves the reporters, enabling a second amplification and generating two fluorescent signals. The assay is highly sensitive (limits of detection as low as 30.00 pg/mL for SAA1 and 200.00 pg/mL for FV), highly specific and ideally accurate. More importantly, it is universal and can be used to detect both non-membrane and membrane proteins in exosome. Besides, the method can be successfully applied to detect SAA1 and FV in plasma exosomes to differentiate between lung cancer patients and healthy individuals. To explore the application of the developed method in tumor diagnosis, a deep learning model based on the expressions of SAA1 and FV was developed. The accuracy of this model can achieve 86.96%, which proves that it has a promising practical application capacity. Thus, this study does not only provide a new tool for the detection of exosomal proteins and cancer diagnosis, but also propose a new strategy to detect non-nucleic acid analytes for CRISPR-Cas system.
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Affiliation(s)
- Lihua Ding
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Yan Wu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Li-E Liu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Leiliang He
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Songcheng Yu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Clement Yaw Effah
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Xia Liu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Lingbo Qu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China; College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China; Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou University, Zhengzhou, 450001, China.
| | - Yongjun Wu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
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16
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Alvarez FA, Kaddour H, Lyu Y, Preece C, Cohen J, Baer L, Stopeck AT, Thompson P, Okeoma CM. Blood plasma derived extracellular vesicles (BEVs): particle purification liquid chromatography (PPLC) and proteomic analysis reveals BEVs as a potential minimally invasive tool for predicting response to breast cancer treatment. Breast Cancer Res Treat 2022; 196:423-437. [PMID: 36114323 PMCID: PMC10560447 DOI: 10.1007/s10549-022-06733-x] [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: 01/11/2022] [Accepted: 08/28/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE Circulating blood plasma derived extracellular vesicles (BEVs) containing proteins hold promise for their use as minimally invasive biomarkers for predicting response to cancer therapy. The main goal of this study was to establish the efficiency and utility of the particle purification liquid chromatography (PPLC) BEV isolation method and evaluate the role of BEVs in predicting breast cancer (BC) patient response to neoadjuvant chemotherapy (NAC). METHODS PPLC isolation was used to separate BEVs from non-EV contaminants and characterize BEVs from 17 BC patients scheduled to receive NAC. Using LC-MS/MS, we compared the proteome of PPLC-isolated BEVs from patients (n = 7) that achieved a pathological complete response (pCR) after NAC (responders [R]) to patients (n = 10) who did not achieve pCR (non-responders [NR]). Luminal MCF7 and basaloid MDA-MB-231 BC cells were treated with isolated BEVs and evaluated for metabolic activity by MTT assay. RESULTS NR had elevated BEV concentrations and negative zeta potential (ζ-potential) prior to receipt of NAC. Eight proteins were enriched in BEVs of NR. GP1BA (CD42b), PECAM-1 (CD31), CAPN1, HSPB1 (HSP27), and ANXA5 were validated using western blot. MTT assay revealed BEVs from R and NR patients increased metabolic activity of MCF7 and MDA-MB-231 BC cells and the magnitude was highest in MCF7s treated with NR BEVs. CONCLUSION PPLC-based EV isolation provides a preanalytical separation process for BEVs devoid of most contaminants. Our findings suggest that PPLC-isolated BEVs and the five associated proteins may be established as predictors of chemoresistance, and thus serve to identify NR to spare them the toxic effects of NAC.
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Affiliation(s)
- Folnetti A Alvarez
- Department of Pharmacology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, 11794-8651, USA
| | - Hussein Kaddour
- Department of Pharmacology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, 11794-8651, USA
- Regeneron Pharmaceuticals, Inc, Tarrytown, NY, 10591, USA
| | - Yuan Lyu
- Department of Pharmacology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, 11794-8651, USA
- Medical Research Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Christina Preece
- Department of Pathology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, 11794-8651, USA
- Department of Medicine, Cedars Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Jules Cohen
- Department of Medicine, Division of Hematology and Medical Oncology, Stony Brook University, Stony Brook, NY, 11794-8651, USA
- Stony Brook University Cancer Center, Stony Brook, NY, 11794-8651, USA
| | - Lea Baer
- Department of Medicine, Division of Hematology and Medical Oncology, Stony Brook University, Stony Brook, NY, 11794-8651, USA
- Stony Brook University Cancer Center, Stony Brook, NY, 11794-8651, USA
| | - Alison T Stopeck
- Department of Medicine, Division of Hematology and Medical Oncology, Stony Brook University, Stony Brook, NY, 11794-8651, USA
- Stony Brook University Cancer Center, Stony Brook, NY, 11794-8651, USA
| | - Patricia Thompson
- Department of Pathology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, 11794-8651, USA
- Stony Brook University Cancer Center, Stony Brook, NY, 11794-8651, USA
| | - Chioma M Okeoma
- Department of Pharmacology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, 11794-8651, USA.
- Department of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, NY, 10595-1524, USA.
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17
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Simultaneous detection of cancerous exosomal miRNA-21 and PD-L1 with a sensitive dual-cycling nanoprobe. Biosens Bioelectron 2022; 216:114636. [PMID: 35986985 DOI: 10.1016/j.bios.2022.114636] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/06/2022] [Accepted: 08/10/2022] [Indexed: 12/19/2022]
Abstract
Simultaneous detection of specific exosomal surface proteins and inner microRNAs are hampered by their heterogeneity, low abundance and spatial segregation in nanovesicles. Here, we design a dual-cycling nanoprobe (DCNP) to enable single-step simultaneous quantitation of cancerous exosomal surface programmed death-ligand 1 (PD-L1) (ExoPD-L1) and miRNA-21 (ExomiR-21) directly in exosome lysates, without resorting to either RNA extraction or time-consuming transmembrane penetration. In this design, DNA molecular machine-based dual-recognition probes co-assemble onto gold nanoparticle surface for engineering 'silent' DCNPs, which enable signal-amplified synchronous response to dual-targets as activated by ExomiR-21 and ExoPD-L1 within 20 min. Benefiting from cycling amplification of the molecular machine, DCNPs sensor achieves detection limits of tumor exosomes, ExoPD-L1 and ExomiR-21 down to 10 particles/μL, 0.17 pg/mL and 66 fM, respectively. Such a sensitive dual-response strategy allows simultaneous tracking the dynamic changes of ExoPD-L1 and ExomiR-21 expression regulated by signaling molecules or therapeutics. This approach further detects circulating ExoPD-L1 and ExomiR-21 in human plasma to differentiate breast cancer patients from healthy individuals with high accuracy, showing great potential of DCNPs for simultaneous profiling exosomal surface and inside biomarkers, and for clinical precision diagnosis.
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18
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Bioprobes-regulated precision biosensing of exosomes: From the nanovesicle surface to the inside. Coord Chem Rev 2022. [DOI: 10.1016/j.ccr.2022.214538] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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