1
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Arman S, Tilley RD, Gooding JJ. A review of electrochemical impedance as a tool for examining cell biology and subcellular mechanisms: merits, limits, and future prospects. Analyst 2024; 149:269-289. [PMID: 38015145 DOI: 10.1039/d3an01423a] [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: 11/29/2023]
Abstract
Herein the development of cellular impedance biosensors, electrochemical impedance spectroscopy, and the general principles and terms associated with the cell-electrode interface is reviewed. This family of techniques provides quantitative and sensitive information into cell responses to stimuli in real-time with high temporal resolution. The applications of cell-based impedance biosensors as a readout in cell biology is illustrated with a diverse range of examples. The current state of the field, its limitations, the possible available solutions, and the potential benefits of developing biosensors are discussed.
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Affiliation(s)
- Seyedyousef Arman
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia.
- Australia Centre for Nanomedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Richard D Tilley
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia.
- Electron Microscope Unit, Mark Wainwright Analytical Centre, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - J Justin Gooding
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia.
- Australia Centre for Nanomedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
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2
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Chen Y, Ni C, Zhang X, Ni Z, Xiang N. High-Throughput Sorting and Single-Cell Mechanotyping by Hydrodynamic Sorting-Mechanotyping Cytometry. SMALL METHODS 2024:e2301195. [PMID: 38213022 DOI: 10.1002/smtd.202301195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/28/2023] [Indexed: 01/13/2024]
Abstract
The existence of many background blood cells hinders the accurate identification of circulating tumor cells (CTCs) in the blood of cancer patients. To unlock this limitation, a hydrodynamic sorting-mechanotyping cytometry (HSMC) integrated with a sorting-concentration chip and a detection chip is proposed for simultaneously achieving the high-throughput cell sorting and the multi-parameter mechanotyping of the sorted tumor cells. The HSMC adopts the spiral inertial microfluidics for label-free sorting of cells in a high-throughput manner, allowing the efficient enrichment of tumor cells from the large background blood cells. Then, the sorted cells are concentrated by the concentration unit and finally passed through the detection unit for hydrodynamic deformation. The HSMC has a high throughput for sorting and detection and can successfully reveal the differences in the cellular mechanical properties. After characterizing and optimizing the single chips, the identification of white blood cells (WBCs) and three types of tumor cells (A549, MCF-7, and MDA-MB-231 cells) is successfully achieved. The identification accuracies for WBCs and different tumor cells are all larger than 94%, while the highest identification accuracy is up to 99.2%. This study envisions that the HSMC will offer an avenue for the analysis of single cell intrinsic mechanics in clinical medicine.
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Affiliation(s)
- Yao Chen
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Chen Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Xiaozhe Zhang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Zhonghua Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Nan Xiang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
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3
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Hua H, Zou S, Ma Z, Guo W, Fong CY, Khoo BL. A deformability-based biochip for precise label-free stratification of metastatic subtypes using deep learning. MICROSYSTEMS & NANOENGINEERING 2023; 9:120. [PMID: 37780810 PMCID: PMC10539402 DOI: 10.1038/s41378-023-00577-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/08/2023] [Accepted: 07/07/2023] [Indexed: 10/03/2023]
Abstract
Cellular deformability is a promising biomarker for evaluating the physiological state of cells in medical applications. Microfluidics has emerged as a powerful technique for measuring cellular deformability. However, existing microfluidic-based assays for measuring cellular deformability rely heavily on image analysis, which can limit their scalability for high-throughput applications. Here, we develop a parallel constriction-based microfluidic flow cytometry device and an integrated computational framework (ATMQcD). The ATMQcD framework includes automatic training set generation, multiple object tracking, segmentation, and cellular deformability quantification. The system was validated using cancer cell lines of varying metastatic potential, achieving a classification accuracy of 92.4% for invasiveness assessment and stratifying cancer cells before and after hypoxia treatment. The ATMQcD system also demonstrated excellent performance in distinguishing cancer cells from leukocytes (accuracy = 89.5%). We developed a mechanical model based on power-law rheology to quantify stiffness, which was fitted with measured data directly. The model evaluated metastatic potentials for multiple cancer types and mixed cell populations, even under real-world clinical conditions. Our study presents a highly robust and transferable computational framework for multiobject tracking and deformation measurement tasks in microfluidics. We believe that this platform has the potential to pave the way for high-throughput analysis in clinical applications, providing a powerful tool for evaluating cellular deformability and assessing the physiological state of cells.
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Affiliation(s)
- Haojun Hua
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
| | - Shangjie Zou
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
| | - Zhiqiang Ma
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
| | - Wang Guo
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
| | - Ching Yin Fong
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
| | - Bee Luan Khoo
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
- City University of Hong Kong Futian-Shenzhen Research Institute, Shenzhen, 518057 China
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4
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Paglia EB, Baldin EKK, Freitas GP, Santiago TSA, Neto JBMR, Silva JVL, Carvalho HF, Beppu MM. Circulating Tumor Cells Adhesion: Application in Biosensors. BIOSENSORS 2023; 13:882. [PMID: 37754116 PMCID: PMC10526177 DOI: 10.3390/bios13090882] [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: 07/04/2023] [Revised: 08/23/2023] [Accepted: 09/01/2023] [Indexed: 09/28/2023]
Abstract
The early and non-invasive diagnosis of tumor diseases has been widely investigated by the scientific community focusing on the development of sensors/biomarkers that act as a way of recognizing the adhesion of circulating tumor cells (CTCs). As a challenge in this area, strategies for CTCs capture and enrichment currently require improvements in the sensors/biomarker's selectivity. This can be achieved by understanding the biological recognition factors for different cancer cell lines and also by understanding the interaction between surface parameters and the affinity between macromolecules and the cell surface. To overcome some of these concerns, electrochemical sensors have been used as precise, fast-response, and low-cost transduction platforms for application in cytosensors. Additionally, distinct materials, geometries, and technologies have been investigated to improve the sensitivity and specificity properties of the support electrode that will transform biochemical events into electrical signals. This review identifies novel approaches regarding the application of different specific biomarkers (CD44, Integrins, and EpCAm) for capturing CTCs. These biomarkers can be applied in electrochemical biosensors as a cytodetection strategy for diagnosis of cancerous diseases.
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Affiliation(s)
- Eduarda B. Paglia
- School of Chemical Engineering, Department of Process and Product Development, University of Campinas, Campinas 13083-852, Brazil; (E.B.P.); (E.K.K.B.); (G.P.F.); (T.S.A.S.)
| | - Estela K. K. Baldin
- School of Chemical Engineering, Department of Process and Product Development, University of Campinas, Campinas 13083-852, Brazil; (E.B.P.); (E.K.K.B.); (G.P.F.); (T.S.A.S.)
- Renato Archer Information Technology Center, Campinas 13069-901, Brazil;
| | - Gabriela P. Freitas
- School of Chemical Engineering, Department of Process and Product Development, University of Campinas, Campinas 13083-852, Brazil; (E.B.P.); (E.K.K.B.); (G.P.F.); (T.S.A.S.)
- Renato Archer Information Technology Center, Campinas 13069-901, Brazil;
| | - Thalyta S. A. Santiago
- School of Chemical Engineering, Department of Process and Product Development, University of Campinas, Campinas 13083-852, Brazil; (E.B.P.); (E.K.K.B.); (G.P.F.); (T.S.A.S.)
| | - João B. M. R. Neto
- Technology Center, Federal University of Alagoas, Maceió 57072-900, Brazil;
| | - Jorge V. L. Silva
- Renato Archer Information Technology Center, Campinas 13069-901, Brazil;
| | - Hernandes F. Carvalho
- Institute of Biology, Department of Structural and Functional Biology, University of Campinas, Campinas 13083-864, Brazil;
| | - Marisa M. Beppu
- School of Chemical Engineering, Department of Process and Product Development, University of Campinas, Campinas 13083-852, Brazil; (E.B.P.); (E.K.K.B.); (G.P.F.); (T.S.A.S.)
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5
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Nguyen TH, Nguyen HA, Tran Thi YV, Hoang Tran D, Cao H, Chu Duc T, Bui TT, Do Quang L. Concepts, electrode configuration, characterization, and data analytics of electric and electrochemical microfluidic platforms: a review. Analyst 2023; 148:1912-1929. [PMID: 36928639 DOI: 10.1039/d2an02027k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Microfluidic cytometry (MC) and electrical impedance spectroscopy (EIS) are two important techniques in biomedical engineering. Microfluidic cytometry has been utilized in various fields such as stem cell differentiation and cancer metastasis studies, and provides a simple, label-free, real-time method for characterizing and monitoring cellular fates. The impedance microdevice, including impedance flow cytometry (IFC) and electrical impedance spectroscopy (EIS), is integrated into MC systems. IFC measures the impedance of individual cells as they flow through a microfluidic device, while EIS measures impedance changes during binding events on electrode regions. There have been significant efforts to improve and optimize these devices for both basic research and clinical applications, based on the concepts, electrode configurations, and cell fates. This review outlines the theoretical concepts, electrode engineering, and data analytics of these devices, and highlights future directions for development.
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Affiliation(s)
- Thu Hang Nguyen
- University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam.
| | | | - Y-Van Tran Thi
- University of Science, Vietnam National University, Hanoi, Vietnam.
| | | | - Hung Cao
- University of California, Irvine, USA
| | - Trinh Chu Duc
- University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam.
| | - Tung Thanh Bui
- University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam.
| | - Loc Do Quang
- University of Science, Vietnam National University, Hanoi, Vietnam.
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6
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Kim H, Zhbanov A, Yang S. Microfluidic Systems for Blood and Blood Cell Characterization. BIOSENSORS 2022; 13:13. [PMID: 36671848 PMCID: PMC9856090 DOI: 10.3390/bios13010013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
A laboratory blood test is vital for assessing a patient's health and disease status. Advances in microfluidic technology have opened the door for on-chip blood analysis. Currently, microfluidic devices can reproduce myriad routine laboratory blood tests. Considerable progress has been made in microfluidic cytometry, blood cell separation, and characterization. Along with the usual clinical parameters, microfluidics makes it possible to determine the physical properties of blood and blood cells. We review recent advances in microfluidic systems for measuring the physical properties and biophysical characteristics of blood and blood cells. Added emphasis is placed on multifunctional platforms that combine several microfluidic technologies for effective cell characterization. The combination of hydrodynamic, optical, electromagnetic, and/or acoustic methods in a microfluidic device facilitates the precise determination of various physical properties of blood and blood cells. We analyzed the physical quantities that are measured by microfluidic devices and the parameters that are determined through these measurements. We discuss unexplored problems and present our perspectives on the long-term challenges and trends associated with the application of microfluidics in clinical laboratories. We expect the characterization of the physical properties of blood and blood cells in a microfluidic environment to be considered a standard blood test in the future.
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Affiliation(s)
- Hojin Kim
- Department of Mechatronics Engineering, Dongseo University, Busan 47011, Republic of Korea
| | - Alexander Zhbanov
- School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Sung Yang
- School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
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7
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Discrimination of tumor cell type based on cytometric detection of dielectric properties. Talanta 2022; 246:123524. [DOI: 10.1016/j.talanta.2022.123524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/27/2022] [Accepted: 05/01/2022] [Indexed: 01/03/2023]
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8
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Wang M, Zhang J, Tan H, Chen D, Lei Y, Li Y, Wang J, Chen J. Inherent Single-Cell Bioelectrical Parameters of Thousands of Neutrophils, Eosinophils and Basophils Derived from Impedance Flow Cytometry. Cytometry A 2022; 101:639-647. [PMID: 35419939 DOI: 10.1002/cyto.a.24559] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 03/20/2022] [Accepted: 04/01/2022] [Indexed: 11/08/2022]
Abstract
Single-cell bioelectrical properties are commonly used for blood cell phenotyping in a label-free manner. However, previously reported inherent single-cell bioelectrical parameters (e.g., diameter Dc , specific membrane capacitance Csm and cytoplasmic conductivity σcy ) of neutrophils, eosinophils and basophils were obtained from only tens of individual cells with limited statistical significance. In this study, granulocytes were separated into neutrophils, eosinophils and basophils based on fluorescent flow cytometry, which were further aspirated through a constriction-microchannel impedance flow cytometry for electrical property characterization. Based on this microfluidic impedance flow cytometry, single-cell values of Dc , Csm and σcy were measured as 10.25 ± 0.66 μm, 2.17 ± 0.30 μF/cm2 , and 0.37 ± 0.05 S/m for neutrophils (ncell = 9 442); 9.73 ± 0.51 μm, 2.07 ± 0.19 μF/cm2 , and 0.30 ± 0.04 S/m for eosinophils (ncell = 2 982); 9.75 ± 0.49 μm, 2.06 ± 0.17 μF/cm2 , and 0.31 ± 0.04 S/m for basophils (ncell = 5 377). Based on these inherent single-cell bioelectrical parameters, neural pattern recognition was conducted, producing classification rates of 80.8% (neutrophil vs. eosinophil), 77.7% (neutrophil vs. basophil) and 59.3% (neutrophil vs. basophil). These results indicate that as inherent single-cell bioelectrical parameters, Dc , Csm and σcy can be used to classify neutrophils from eosinophils or basophils to some extent while they cannot be used to effectively distinguish eosinophils from basophils.
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Affiliation(s)
- Minruihong Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Jie Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,China National Center for Bioinformation, Beijing, People's Republic of China
| | - Huiwen Tan
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Deyong Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Ying Lei
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,China National Center for Bioinformation, Beijing, People's Republic of China
| | - Yueying Li
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,China National Center for Bioinformation, Beijing, People's Republic of China
| | - Junbo Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Jian Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.,School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, People's Republic of China
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9
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Feng Y, Cheng Z, Chai H, He W, Huang L, Wang W. Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization. LAB ON A CHIP 2022; 22:240-249. [PMID: 34849522 DOI: 10.1039/d1lc00755f] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Single-cell impedance flow cytometry (IFC) is emerging as a label-free and non-invasive method for characterizing the electrical properties and revealing sample heterogeneity. At present, most IFC studies utilize phenomenological parameters (e.g., impedance amplitude, phase and opacity) to characterize single cells instead of intrinsic biophysical metrics (e.g., radius r, cytoplasm conductivity σi and specific membrane capacitance Csm). Intrinsic parameters are normally calculated off-line by time-consuming model-fitting methods. Here, we propose to employ neural network (NN)-enhanced IFC to achieve both real-time single-cell intrinsic characterization and intrinsic parameter-based cell classification at high throughput. Three intrinsic parameters (r, σi and Csm) can be obtained online and in real-time via a trained NN at 0.3 ms per single-cell event, achieving significant improvement in calculation speed. Experiments involving four cancer cells and one lymphocyte cell demonstrated 91.5% classification accuracy in the cell type for a test group of 9751 cell samples. By performing a viability assay, we provide evidence that the IFC test per se would not substantially affect the cell property. We envision that the NN-enhanced real-time IFC will provide a new platform for high-throughput, real-time and online cell intrinsic electrical characterization.
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Affiliation(s)
- Yongxiang Feng
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
| | - Zhen Cheng
- Department of Automation, Tsinghua University, Beijing, China
| | - Huichao Chai
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
| | - Weihua He
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
| | - Liang Huang
- Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology, Hefei, Anhui, China
| | - Wenhui Wang
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
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10
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Jiang M, Jin S, Han J, Li T, Shi J, Zhong Q, Li W, Tang W, Huang Q, Zong H. Detection and clinical significance of circulating tumor cells in colorectal cancer. Biomark Res 2021; 9:85. [PMID: 34798902 PMCID: PMC8605607 DOI: 10.1186/s40364-021-00326-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 08/27/2021] [Indexed: 02/08/2023] Open
Abstract
Histopathological examination (biopsy) is the "gold standard" for the diagnosis of colorectal cancer (CRC). However, biopsy is an invasive method, and due to the temporal and spatial heterogeneity of the tumor, a single biopsy cannot reveal the comprehensive biological characteristics and dynamic changes of the tumor. Therefore, there is a need for new biomarkers to improve CRC diagnosis and to monitor and treat CRC patients. Numerous studies have shown that "liquid biopsy" is a promising minimally invasive method for early CRC detection. A liquid biopsy mainly samples circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), microRNA (miRNA) and extracellular vesicles (EVs). CTCs are malignant cells that are shed from the primary tumors and/or metastases into the peripheral circulation. CTCs carry information on both primary tumors and metastases that can reflect dynamic changes in tumors in a timely manner. As a promising biomarker, CTCs can be used for early disease detection, treatment response and disease progression evaluation, disease mechanism elucidation, and therapeutic target identification for drug development. This review will discuss currently available technologies for plasma CTC isolation and detection, their utility in the management of CRC patients and future research directions.
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Affiliation(s)
- Miao Jiang
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, NO.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Shuiling Jin
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, NO.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Jinming Han
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, NO.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Tong Li
- BGI College, Zhengzhou University, 40 Daxue Road, Zhengzhou, 450052, Henan, China
| | - Jianxiang Shi
- BGI College, Zhengzhou University, 40 Daxue Road, Zhengzhou, 450052, Henan, China.,Precision Medicine Center, Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, 40 Daxue Road, Zhengzhou, 450052, China
| | - Qian Zhong
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, NO.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Wen Li
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, NO.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Wenxue Tang
- Departments of Otolaryngology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China.
| | - Qinqin Huang
- Academy of medical science, Zhengzhou University, Zhengzhou, 450052, Henan, China.
| | - Hong Zong
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University, NO.1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China.
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11
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Ren X, Ellis BW, Ronan G, Blood SR, DeShetler C, Senapati S, March KL, Handberg E, Anderson D, Pepine C, Chang HC, Zorlutuna P. A multiplexed ion-exchange membrane-based miRNA (MIX·miR) detection platform for rapid diagnosis of myocardial infarction. LAB ON A CHIP 2021; 21:3876-3887. [PMID: 34546237 PMCID: PMC9115728 DOI: 10.1039/d1lc00685a] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Micro RNAs (miRNAs) have shown great potential as rapid and discriminating biomarkers for acute myocardial infarction (AMI) diagnosis. We have developed a multiplexed ion-exchange membrane-based miRNA (MIX·miR) preconcentration/sensing amplification-free platform for quantifying in parallel a panel of miRNAs, including miR-1, miR-208b, and miR-499, from the same plasma samples from: 1) reference subjects with no evident coronary artery disease (NCAD); 2) subjects with stable coronary artery disease (CAD); and 3) subjects experiencing ST-elevation myocardial infarction (STEMI) prior to (STEMI-pre) and following (STEMI-PCI) percutaneous coronary intervention. The picomolar limit of detection from raw plasma and 3-decade dynamic range of MIX·miR permits detection of the miRNA panel in untreated samples from disease patients and its precise standard curve, provided by large 0.1 to 1 V signals and eliminates individual sensor calibration. The use of molecular concentration feature reduces the assay time to less than 30 minutes and increases the detection sensitivity by bringing all targets close to the sensors. miR-1 was low for NCAD patients but more than one order of magnitude above the normal value for all samples from three categories (CAD, STEMI-pre, and STEMI-PCI) of patients with CAD. In fact, miR-1 expression levels of stable CAD, STEMI-pre and STEMI-PCI are each more than 10-fold higher than the previous class, in that order, well above the 95% confidence level of MIX·miR. Its overexpression estimate is significantly higher than the PCR benchmark. This suggests that, in contrast to protein biomarkers of myocardial injury, miR-1 appears to differentiate ischemia from both reperfusion injury and non-AMI CAD patients. The battery-operated MIX·miR can be a portable and low-cost AMI diagnostic device, particularly useful in settings where cardiac catheterization is not readily available to determine the status of coronary reperfusion.
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Affiliation(s)
- Xiang Ren
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
| | - Bradley W Ellis
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
| | - George Ronan
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
| | - Stuart Ryan Blood
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Cameron DeShetler
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Satyajyoti Senapati
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Keith L March
- Division of Cardiology, Department of Medicine in the College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - Eileen Handberg
- Division of Cardiology, Department of Medicine in the College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - David Anderson
- Division of Cardiology, Department of Medicine in the College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - Carl Pepine
- Division of Cardiology, Department of Medicine in the College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - Hsueh-Chia Chang
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Pinar Zorlutuna
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
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12
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Latest Updates on the Advancement of Polymer-Based Biomicroelectromechanical Systems for Animal Cell Studies. ADVANCES IN POLYMER TECHNOLOGY 2021. [DOI: 10.1155/2021/8816564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Biological sciences have reached the fundamental unit of life: the cell. Ever-growing field of Biological Microelectromechanical Systems (BioMEMSs) is providing new frontiers in both fundamental cell research and various practical applications in cell-related studies. Among various functions of BioMEMS devices, some of the most fundamental processes that can be carried out in such platforms include cell sorting, cell separation, cell isolation or trapping, cell pairing, cell-cell communication, cell differentiation, cell identification, and cell culture. In this article, we review each mentioned application in great details highlighting the latest advancements in fabrication strategy, mechanism of operation, and application of these tools. Moreover, the review article covers the shortcomings of each specific application which can open windows of opportunity for improvement of these devices.
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Abstract
Over the past decades, microfluidic devices based on many advanced techniques have aroused widespread attention in the fields of chemical, biological, and analytical applications. Integration of microdevices with a variety of chip designs will facilitate promising functionality. Notably, the combination of microfluidics with functional nanomaterials may provide creative ideas to achieve rapid and sensitive detection of various biospecies. In this review, focused on the microfluids and microdevices in terms of their fabrication, integration, and functions, we summarize the up-to-date developments in microfluidics-based analysis of biospecies, where biomarkers, small molecules, cells, and pathogens as representative biospecies have been explored in-depth. The promising applications of microfluidic biosensors including clinical diagnosis, food safety control, and environmental monitoring are also discussed. This review aims to highlight the importance of microfluidics-based biosensors in achieving high throughput, highly sensitive, and low-cost analysis and to promote microfluidics toward a wider range of applications.
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Affiliation(s)
- Yanlong Xing
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Linlu Zhao
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Ziyi Cheng
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Chuanzhu Lv
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Feifei Yu
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Fabiao Yu
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
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The Mechanical Fingerprint of Circulating Tumor Cells (CTCs) in Breast Cancer Patients. Cancers (Basel) 2021; 13:cancers13051119. [PMID: 33807790 PMCID: PMC7961579 DOI: 10.3390/cancers13051119] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 02/17/2021] [Accepted: 02/26/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Detection of circulating tumor cells (CTCs) in the blood of cancer patients is a challenging issue, since they adapt to the biochemical and physical landscape of the bloodstream. We approached the issue of CTC identification on a biophysical level. For the first time, we recorded the mechanical deformation profiles of potential CTCs, which were isolated from the blood of breast cancer patients, at the force regime of the deforming blood flow. Mechanical fingerprints of CTCs were significantly different from healthy white blood cells. We used machine learning to further evaluate the differences and identify discrimination criteria. Our results suggest that mechanical characterization of CTCs at low forces is a promising path towards CTC detection. Abstract Circulating tumor cells (CTCs) are a potential predictive surrogate marker for disease monitoring. Due to the sparse knowledge about their phenotype and its changes during cancer progression and treatment response, CTC isolation remains challenging. Here we focused on the mechanical characterization of circulating non-hematopoietic cells from breast cancer patients to evaluate its utility for CTC detection. For proof of premise, we used healthy peripheral blood mononuclear cells (PBMCs), human MDA-MB 231 breast cancer cells and human HL-60 leukemia cells to create a CTC model system. For translational experiments CD45 negative cells—possible CTCs—were isolated from blood samples of patients with mamma carcinoma. Cells were mechanically characterized in the optical stretcher (OS). Active and passive cell mechanical data were related with physiological descriptors by a random forest (RF) classifier to identify cell type specific properties. Cancer cells were well distinguishable from PBMC in cell line tests. Analysis of clinical samples revealed that in PBMC the elliptic deformation was significantly increased compared to non-hematopoietic cells. Interestingly, non-hematopoietic cells showed significantly higher shape restoration. Based on Kelvin–Voigt modeling, the RF algorithm revealed that elliptic deformation and shape restoration were crucial parameters and that the OS discriminated non-hematopoietic cells from PBMC with an accuracy of 0.69, a sensitivity of 0.74, and specificity of 0.63. The CD45 negative cell population in the blood of breast cancer patients is mechanically distinguishable from healthy PBMC. Together with cell morphology, the mechanical fingerprint might be an appropriate tool for marker-free CTC detection.
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Farshchi F, Hasanzadeh M. Microfluidic biosensing of circulating tumor cells (CTCs): Recent progress and challenges in efficient diagnosis of cancer. Biomed Pharmacother 2020; 134:111153. [PMID: 33360045 DOI: 10.1016/j.biopha.2020.111153] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 12/11/2020] [Accepted: 12/14/2020] [Indexed: 10/22/2022] Open
Abstract
Cancer metastasis is one of the foremost causes of cancer incidence and fatality in the whole of the world. Circulating tumor cells (CTC) have been confirmed to be among the most significant stimuli of metastasis in recent years and presently are the subject of extensive research aiming to be accurately identified by using biological and physical properties. Among the various studies conducted for isolation, identification, and characterization of CTCs, microfluidic systems have aroused great attention owing to their unique advantages such as low-cost, simplicity, reduction in reagent consumption, miniaturization, fast and precise control. The purpose of this review is to provide an overview of current state of the microfluidic biosensors for the screening of CTCs. Additionally, given the recent progress in this field, future outlook for the development of the microfluidics biosensing is briefly discussed.
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Affiliation(s)
- Fatemeh Farshchi
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Hasanzadeh
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
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Daguerre H, Solsona M, Cottet J, Gauthier M, Renaud P, Bolopion A. Positional dependence of particles and cells in microfluidic electrical impedance flow cytometry: origin, challenges and opportunities. LAB ON A CHIP 2020; 20:3665-3689. [PMID: 32914827 DOI: 10.1039/d0lc00616e] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Microfluidic electrical impedance flow cytometry is now a well-known and established method for single-cell analysis. Given the richness of the information provided by impedance measurements, this non-invasive and label-free approach can be used in a wide field of applications ranging from simple cell counting to disease diagnostics. One of its major limitations is the variation of the impedance signal with the position of the cell in the sensing area. Indeed, identical particles traveling along different trajectories do not result in the same data. The positional dependence can be considered as a challenge for the accuracy of microfluidic impedance cytometers. On the other hand, it has recently been regarded by several groups as an opportunity to estimate the position of particles in the microchannel and thus take a further step in the logic of integrating sensors in so-called "Lab-on-a-chip" devices. This review provides a comprehensive overview of the physical grounds of the positional dependence of impedance measurements. Then, both the developed strategies to reduce position influence in impedance-based assays and the recent reported technologies exploiting that dependence for the integration of position detection in microfluidic devices are reviewed.
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Affiliation(s)
- Hugo Daguerre
- FEMTO-ST Institute, CNRS, Univ. Bourgogne Franche-Comté, AS2M Department, 24 rue Alain Savary, F-25000 Besançon, France.
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Ghassemi P, Harris KS, Ren X, Foster BM, Langefeld CD, Kerr BA, Agah M. Comparative Study of Prostate Cancer Biophysical and Migratory Characteristics via Iterative Mechanoelectrical Properties (iMEP) and Standard Migration Assays. SENSORS AND ACTUATORS. B, CHEMICAL 2020; 321:128522. [PMID: 32863589 PMCID: PMC7455013 DOI: 10.1016/j.snb.2020.128522] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
This study reveals a new microfluidic biosensor consisting of a multi-constriction microfluidic device with embedded electrodes for measuring the biophysical attributes of single cells. The biosensing platform called the iterative mechano-electrical properties (iMEP) analyzer captures electronic records of biomechanical and bioelectrical properties of cells. The iMEP assay is used in conjunction with standard migration assays, such as chemotaxis-based Boyden chamber and scratch wound healing assays, to evaluate the migratory behavior and biophysical properties of prostate cancer cells. The three cell lines evaluated in the study each represent a stage in the standard progression of prostate cancer, while the fourth cell line serves as a normal/healthy counterpart. Neither the scratch assay nor the chemotaxis assay could fully differentiate the four cell lines. Furthermore, there was not a direct correlation between wound healing rate or the migratory rate with the cells' metastatic potential. However, the iMEP assay, through its multiparametric dataset, could distinguish between all four cell line populations with p-value < 0.05. Further studies are needed to determine if iMEP signatures can be used for a wider range of human cells to assess the tumorigenicity of a cell population or the metastatic potential of cancer cells.
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Affiliation(s)
- Parham Ghassemi
- The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Koran S. Harris
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, United States
| | - Xiang Ren
- The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Brittni M. Foster
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, United States
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, 27157, United States
| | - Bethany A. Kerr
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, United States
| | - Masoud Agah
- The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
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Gajdosova V, Lorencova L, Kasak P, Tkac J. Electrochemical Nanobiosensors for Detection of Breast Cancer Biomarkers. SENSORS (BASEL, SWITZERLAND) 2020; 20:E4022. [PMID: 32698389 PMCID: PMC7412172 DOI: 10.3390/s20144022] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/14/2020] [Accepted: 07/15/2020] [Indexed: 12/16/2022]
Abstract
This comprehensive review paper describes recent advances made in the field of electrochemical nanobiosensors for the detection of breast cancer (BC) biomarkers such as specific genes, microRNA, proteins, circulating tumor cells, BC cell lines, and exosomes or exosome-derived biomarkers. Besides the description of key functional characteristics of electrochemical nanobiosensors, the reader can find basic statistic information about BC incidence and mortality, breast pathology, and current clinically used BC biomarkers. The final part of the review is focused on challenges that need to be addressed in order to apply electrochemical nanobiosensors in a clinical practice.
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Affiliation(s)
- Veronika Gajdosova
- Institute of Chemistry, Slovak Academy of Sciences, Dubravska cesta 9, 845 38 Bratislava, Slovakia; (V.G.); (L.L.)
| | - Lenka Lorencova
- Institute of Chemistry, Slovak Academy of Sciences, Dubravska cesta 9, 845 38 Bratislava, Slovakia; (V.G.); (L.L.)
| | - Peter Kasak
- Center for Advanced Materials, Qatar University, Doha 2713, Qatar
| | - Jan Tkac
- Institute of Chemistry, Slovak Academy of Sciences, Dubravska cesta 9, 845 38 Bratislava, Slovakia; (V.G.); (L.L.)
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Hassan Q, Ahmadi S, Kerman K. Recent Advances in Monitoring Cell Behavior Using Cell-Based Impedance Spectroscopy. MICROMACHINES 2020; 11:E590. [PMID: 32545753 PMCID: PMC7345285 DOI: 10.3390/mi11060590] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/05/2020] [Accepted: 06/09/2020] [Indexed: 12/24/2022]
Abstract
Cell-based impedance spectroscopy (CBI) is a powerful tool that uses the principles of electrochemical impedance spectroscopy (EIS) by measuring changes in electrical impedance relative to a voltage applied to a cell layer. CBI provides a promising platform for the detection of several properties of cells including the adhesion, motility, proliferation, viability and metabolism of a cell culture. This review gives a brief overview of the theory, instrumentation, and detection principles of CBI. The recent applications of the technique are given in detail for research into cancer, neurodegenerative diseases, toxicology as well as its application to 2D and 3D in vitro cell cultures. CBI has been established as a biophysical marker to provide quantitative cellular information, which can readily be adapted for single-cell analysis to complement the existing biomarkers for clinical research on disease progression.
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Affiliation(s)
| | | | - Kagan Kerman
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON M1C 1A4, Canada; (Q.H.); (S.A.)
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Wang S, Hong S, Cai S, Lei J, Chen J, Zhang N, Ai Z, Liu K, Tang M. Negative depletion mediated brightfield circulating tumour cell identification strategy on microparticle-based microfluidic chip. J Nanobiotechnology 2020; 18:70. [PMID: 32381091 PMCID: PMC7206695 DOI: 10.1186/s12951-020-00623-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 04/27/2020] [Indexed: 02/08/2023] Open
Abstract
Background The most convenient circulating tumor cells (CTCs) identification method is direct analysis of cells under bright field microscopy by which CTCs can be comprehensive studied based on morphology, phenotype or even cellular function. However, universal cell markers and a standard tumour cell map do not exist, thus limiting the clinical application of CTCs. Results This paper focuses on an automatic and convenient negative depletion strategy for circulating tumour cell identification under bright field microscopy. In this strategy, immune microparticles (IMPs) are applied to negatively label white blood cells rather than the tumour cells, such that tumour cells can be directly distinguished under brightfield of the microscopy. In this way, all of the heterogeneous tumour cells and their phenotype properties can be retained for further cancer-related studies. In addition, a wedge-shaped microfluidic chip is constructed for heterogeneous CTC pre-purification and enrichment by size, thus significantly decreasing the interference of haematological cells. Additionally, all cell treatments are processed automatically, and the tumour cells can be rapidly counted and distinguished via customized cell analytical software, showing high detection efficiency and automation. This IMPs based negative cell labelling strategy can also be combined with other classic cell identification methods, thus demonstrating its excellent compatibility. Conclusion This identification strategy features simple and harmless for tumour cells, as well as excellent accuracy and efficiency. And the low equipment demand and high automation level make it promise for extensive application in basic medical institutions.
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Affiliation(s)
- Shuibing Wang
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Engineering and Technology Research Center for Functional Fiber Fabrication and Testing, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Province Engineering Research Center for Intelligent Micro-nano Medical Equipment and Key Technologies, Wuhan, 30200, People's Republic of China
| | - Shaoli Hong
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Engineering and Technology Research Center for Functional Fiber Fabrication and Testing, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Province Engineering Research Center for Intelligent Micro-nano Medical Equipment and Key Technologies, Wuhan, 30200, People's Republic of China
| | - Shijia Cai
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China
| | - Jia Lei
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China
| | - Jinyao Chen
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China
| | - Nangang Zhang
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Engineering and Technology Research Center for Functional Fiber Fabrication and Testing, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Province Engineering Research Center for Intelligent Micro-nano Medical Equipment and Key Technologies, Wuhan, 30200, People's Republic of China
| | - Zhao Ai
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Engineering and Technology Research Center for Functional Fiber Fabrication and Testing, Wuhan Textile University, Wuhan, 430200, People's Republic of China.,Hubei Province Engineering Research Center for Intelligent Micro-nano Medical Equipment and Key Technologies, Wuhan, 30200, People's Republic of China
| | - Kan Liu
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China. .,Hubei Engineering and Technology Research Center for Functional Fiber Fabrication and Testing, Wuhan Textile University, Wuhan, 430200, People's Republic of China. .,Hubei Province Engineering Research Center for Intelligent Micro-nano Medical Equipment and Key Technologies, Wuhan, 30200, People's Republic of China.
| | - Man Tang
- School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China. .,Hubei Engineering and Technology Research Center for Functional Fiber Fabrication and Testing, Wuhan Textile University, Wuhan, 430200, People's Republic of China. .,Hubei Province Engineering Research Center for Intelligent Micro-nano Medical Equipment and Key Technologies, Wuhan, 30200, People's Republic of China.
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