Cargando…

On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation

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,...

Descripción completa

Detalles Bibliográficos
Autores principales: Choi, Seungyeop, Park, Insu, Lee, Sang Hyun, Yeo, Kang In, Min, Gyeongjun, Woo, Sung-Hun, Kim, Yoon Suk, Lee, Sei Young, Lee, Sang Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688586/
https://www.ncbi.nlm.nih.gov/pubmed/36421154
http://dx.doi.org/10.3390/bios12111037
_version_ 1784836305707859968
author Choi, Seungyeop
Park, Insu
Lee, Sang Hyun
Yeo, Kang In
Min, Gyeongjun
Woo, Sung-Hun
Kim, Yoon Suk
Lee, Sei Young
Lee, Sang Woo
author_facet Choi, Seungyeop
Park, Insu
Lee, Sang Hyun
Yeo, Kang In
Min, Gyeongjun
Woo, Sung-Hun
Kim, Yoon Suk
Lee, Sei Young
Lee, Sang Woo
author_sort Choi, Seungyeop
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9688586
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96885862022-11-25 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 Biosensors (Basel) Article 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. MDPI 2022-11-17 /pmc/articles/PMC9688586/ /pubmed/36421154 http://dx.doi.org/10.3390/bios12111037 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Choi, Seungyeop
Park, Insu
Lee, Sang Hyun
Yeo, Kang In
Min, Gyeongjun
Woo, Sung-Hun
Kim, Yoon Suk
Lee, Sei Young
Lee, Sang Woo
On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation
title On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation
title_full On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation
title_fullStr On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation
title_full_unstemmed On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation
title_short On-Chip Single-Cell Bioelectrical Analysis for Identification of Cell Electrical Phenotyping in Response to Sequential Electric Signal Modulation
title_sort on-chip single-cell bioelectrical analysis for identification of cell electrical phenotyping in response to sequential electric signal modulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688586/
https://www.ncbi.nlm.nih.gov/pubmed/36421154
http://dx.doi.org/10.3390/bios12111037
work_keys_str_mv AT choiseungyeop onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT parkinsu onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT leesanghyun onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT yeokangin onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT mingyeongjun onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT woosunghun onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT kimyoonsuk onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT leeseiyoung onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation
AT leesangwoo onchipsinglecellbioelectricalanalysisforidentificationofcellelectricalphenotypinginresponsetosequentialelectricsignalmodulation