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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Tan H, Wang M, Zhang Y, Huang X, Chen D, Li Y, Wu MH, Wang K, Wang J, Chen J. Inherent Bioelectrical Parameters of Hundreds of Thousands of Single Leukocytes Based on Impedance Flow Cytometry. Cytometry A 2022; 101:630-638. [PMID: 35150049 DOI: 10.1002/cyto.a.24544] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/15/2022] [Accepted: 02/02/2022] [Indexed: 11/11/2022]
Abstract
As label-free biomarkers, bioelectrical properties of single cells have been widely used in hematology analyzers for 3-part differential of leukocytes, in which, however, instrument dependent bioelectrical parameters (e.g., DC/AC impedance values) rather than inherent bioelectrical parameters (e.g., diameter Dc , specific membrane capacitance Csm and cytoplasmic conductivity σcy ) were used, leading to poor comparisons among different instruments. In order to address this issue, this study collected inherent bioelectrical parameters from hundreds of thousands of white blood cells based on a home-developed impedance flow cytometry with corresponding 3-part differential of leukocytes realized. More specifically, leukocytes were separated into three major subtypes of granulocytes, monocytes and lymphocytes based on density gradient centrifugation. Then these separated cells were aspirated through a constriction-microchannel based impedance flow cytometry where inherent bioelectrical parameters of Dc , Csm and σcy were quantified as 9.8 ± 0.7 μm, 2.06 ± 0.26 μF/cm2 , and 0.34 ± 0.05 S/m for granulocytes (ncell = 134 829); 10.4 ± 1.0 μm, 2.45 ± 0.48 μF/cm2 , and 0.42 ± 0.08 S/m for monocytes (ncell = 40 226); 8.0 ± 0.5 μm, 2.23 ± 0.34 μF/cm2 , and 0.35 ± 0.08 S/m for lymphocytes (ncell = 129 193). Based on these inherent bioelectrical parameters, neural pattern recognition was conducted, producing a high "classification accuracy" of 93.5% in classifying these three subtypes of leukocytes. These results indicate that as inherent bioelectrical parameters, Dc , Csm and σcy can be used to electrically phenotype white blood cells in a label-free manner.
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Affiliation(s)
- 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
| | - 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
| | - Yi Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, 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
| | - Xukun Huang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, 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
| | - 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
| | - 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
| | - Min-Hsien Wu
- Graduate Institute of Biochemical and Biomedical Engineering, Chang Gung University, Taoyuan City, Taiwan, Republic of China
| | - Ke Wang
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, 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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