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On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation.
Choi, Seungyeop; Park, Insu; Lee, Sang Hyun; Yeo, Kang In; Min, Gyeongjun; Woo, Sung-Hun; Kim, Yoon Suk; Lee, Sei Young; Lee, Sang Woo.
Afiliação
  • Choi S; Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
  • Park I; Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
  • Lee SH; Department of Biomedical Engineering, Konyang University, Daejeon 35365, Republic of Korea.
  • Yeo KI; Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
  • Min G; Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
  • Woo SH; Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
  • Kim YS; Department of Biomedical Laboratory Science, Yonsei University, Wonju 26493, Republic of Korea.
  • Lee SY; Department of Biomedical Laboratory Science, Yonsei University, Wonju 26493, Republic of Korea.
  • Lee SW; Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
Biosensors (Basel) ; 12(11)2022 Nov 17.
Article em En | MEDLINE | ID: mdl-36421154
ABSTRACT
In recent years, an interesting biomarker called membrane breakdown voltage has been examined using artificial planar lipid bilayers. Even though they have great potential to identify cell electrical phenotyping for distinguishing similar cell lines or cells under different physiological conditions, the biomarker has not been evaluated in the context of living cell electrical phenotyping. Herein, we present a single-cell analysis platform to continuously measure the electric response in a large number of cells in parallel using electric frequency and voltage variables. Using this platform, we measured the direction of cell displacement and transparent cell image alteration as electric polarization of the cell responds to signal modulation, extracting the dielectrophoretic crossover frequency and membrane breakdown voltage for each cell, and utilizing the measurement results in the same spatiotemporal environment. We developed paired parameters using the dielectrophoretic crossover frequency and membrane breakdown voltage for each cell and evaluated the paired parameter efficiency concerning the identification of two different breast cancer cells and cell drug response. Moreover, we showed that the platform was able to identify cell electrical phenotyping, which was generated by subtle changes in cholesterol depletion-induced cell membrane integrity disruption when the paired parameter was used. Our platform introduced in this paper is extremely useful for facilitating more accurate and efficient evaluation of cell electrical phenotyping in a variety of applications, such as cell biology and drug discovery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Bicamadas Lipídicas Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Bicamadas Lipídicas Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2022 Tipo de documento: Article