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Single neurons on microelectrode array chip: manipulation and analyses
Chips-based platforms intended for single-cell manipulation are considered powerful tools to analyze intercellular interactions and cellular functions. Although the conventional cell co-culture models could investigate cell communication to some extent, the role of a single cell requires further ana...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565505/ https://www.ncbi.nlm.nih.gov/pubmed/37829565 http://dx.doi.org/10.3389/fbioe.2023.1258626 |
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author | Zhang, Hongyong Wang, Pengbo Huang, Nan Zhao, Lingrui Su, Yi Li, Lingfei Bian, Sumin Sawan, Mohamad |
author_facet | Zhang, Hongyong Wang, Pengbo Huang, Nan Zhao, Lingrui Su, Yi Li, Lingfei Bian, Sumin Sawan, Mohamad |
author_sort | Zhang, Hongyong |
collection | PubMed |
description | Chips-based platforms intended for single-cell manipulation are considered powerful tools to analyze intercellular interactions and cellular functions. Although the conventional cell co-culture models could investigate cell communication to some extent, the role of a single cell requires further analysis. In this study, a precise intercellular interaction model was built using a microelectrode array [microelectrode array (MEA)]-based and dielectrophoresis-driven single-cell manipulation chip. The integrated platform enabled precise manipulation of single cells, which were either trapped on or transferred between electrodes. Each electrode was controlled independently to record the corresponding cellular electrophysiology. Multiple parameters were explored to investigate their effects on cell manipulation including the diameter and depth of microwells, the geometry of cells, and the voltage amplitude of the control signal. Under the optimized microenvironment, the chip was further evaluated using 293T and neural cells to investigate the influence of electric field on cells. An examination of the inappropriate use of electric fields on cells revealed the occurrence of oncosis. In the end of the study, electrophysiology of single neurons and network of neurons, both differentiated from human induced pluripotent stem cells (iPSC), was recorded and compared to demonstrate the functionality of the chip. The obtained preliminary results extended the nature growing model to the controllable level, satisfying the expectation of introducing more elaborated intercellular interaction models. |
format | Online Article Text |
id | pubmed-10565505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105655052023-10-12 Single neurons on microelectrode array chip: manipulation and analyses Zhang, Hongyong Wang, Pengbo Huang, Nan Zhao, Lingrui Su, Yi Li, Lingfei Bian, Sumin Sawan, Mohamad Front Bioeng Biotechnol Bioengineering and Biotechnology Chips-based platforms intended for single-cell manipulation are considered powerful tools to analyze intercellular interactions and cellular functions. Although the conventional cell co-culture models could investigate cell communication to some extent, the role of a single cell requires further analysis. In this study, a precise intercellular interaction model was built using a microelectrode array [microelectrode array (MEA)]-based and dielectrophoresis-driven single-cell manipulation chip. The integrated platform enabled precise manipulation of single cells, which were either trapped on or transferred between electrodes. Each electrode was controlled independently to record the corresponding cellular electrophysiology. Multiple parameters were explored to investigate their effects on cell manipulation including the diameter and depth of microwells, the geometry of cells, and the voltage amplitude of the control signal. Under the optimized microenvironment, the chip was further evaluated using 293T and neural cells to investigate the influence of electric field on cells. An examination of the inappropriate use of electric fields on cells revealed the occurrence of oncosis. In the end of the study, electrophysiology of single neurons and network of neurons, both differentiated from human induced pluripotent stem cells (iPSC), was recorded and compared to demonstrate the functionality of the chip. The obtained preliminary results extended the nature growing model to the controllable level, satisfying the expectation of introducing more elaborated intercellular interaction models. Frontiers Media S.A. 2023-09-27 /pmc/articles/PMC10565505/ /pubmed/37829565 http://dx.doi.org/10.3389/fbioe.2023.1258626 Text en Copyright © 2023 Zhang, Wang, Huang, Zhao, Su, Li, Bian and Sawan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Zhang, Hongyong Wang, Pengbo Huang, Nan Zhao, Lingrui Su, Yi Li, Lingfei Bian, Sumin Sawan, Mohamad Single neurons on microelectrode array chip: manipulation and analyses |
title | Single neurons on microelectrode array chip: manipulation and analyses |
title_full | Single neurons on microelectrode array chip: manipulation and analyses |
title_fullStr | Single neurons on microelectrode array chip: manipulation and analyses |
title_full_unstemmed | Single neurons on microelectrode array chip: manipulation and analyses |
title_short | Single neurons on microelectrode array chip: manipulation and analyses |
title_sort | single neurons on microelectrode array chip: manipulation and analyses |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565505/ https://www.ncbi.nlm.nih.gov/pubmed/37829565 http://dx.doi.org/10.3389/fbioe.2023.1258626 |
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