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Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?

Glioblastoma is considered the most aggressive and lethal form of brain cancer. Glioblastoma tumours are complex, comprising a spectrum of oncogenically transformed cells displaying distinct phenotypes. These can be generated in culture and are called differentiated-glioblastoma cells and glioblasto...

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Autores principales: Robilliard, Laverne Diana, Yu, Jane, Jun, Sung-Min, Anchan, Akshata, Finlay, Graeme, Angel, Catherine E., Graham, Euan Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699647/
https://www.ncbi.nlm.nih.gov/pubmed/34940255
http://dx.doi.org/10.3390/bios11120498
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author Robilliard, Laverne Diana
Yu, Jane
Jun, Sung-Min
Anchan, Akshata
Finlay, Graeme
Angel, Catherine E.
Graham, Euan Scott
author_facet Robilliard, Laverne Diana
Yu, Jane
Jun, Sung-Min
Anchan, Akshata
Finlay, Graeme
Angel, Catherine E.
Graham, Euan Scott
author_sort Robilliard, Laverne Diana
collection PubMed
description Glioblastoma is considered the most aggressive and lethal form of brain cancer. Glioblastoma tumours are complex, comprising a spectrum of oncogenically transformed cells displaying distinct phenotypes. These can be generated in culture and are called differentiated-glioblastoma cells and glioblastoma stem cells. These cells are phenotypically and functionally distinct, where the stem-like glioblastoma cells give rise to and perpetuate the tumour. Electric cell-substrate impedance sensing (ECIS) is a real-time, label-free, impedance-based method for the analysis of cellular behaviour, based on cellular adhesion. Therefore, we asked the question of whether ECIS was suitable for, and capable of measuring the adhesion of glioblastoma cells. The goal was to identify whether ECIS was capable of measuring glioblastoma cell adhesion, with a particular focus on the glioblastoma stem cells. We reveal that ECIS reliably measures adhesion of the differentiated glioblastoma cells on various array types. We also demonstrate the ability of ECIS to measure the migratory behaviour of differentiated glioblastoma cells onto ECIS electrodes post-ablation. Although the glioblastoma stem cells are adherent, ECIS is substantially less capable at reliably measuring their adhesion, compared with the differentiated counterparts. This means that ECIS has applicability for some glioblastoma cultures but much less utility for weakly adherent stem cell counterparts.
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spelling pubmed-86996472021-12-24 Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells? Robilliard, Laverne Diana Yu, Jane Jun, Sung-Min Anchan, Akshata Finlay, Graeme Angel, Catherine E. Graham, Euan Scott Biosensors (Basel) Article Glioblastoma is considered the most aggressive and lethal form of brain cancer. Glioblastoma tumours are complex, comprising a spectrum of oncogenically transformed cells displaying distinct phenotypes. These can be generated in culture and are called differentiated-glioblastoma cells and glioblastoma stem cells. These cells are phenotypically and functionally distinct, where the stem-like glioblastoma cells give rise to and perpetuate the tumour. Electric cell-substrate impedance sensing (ECIS) is a real-time, label-free, impedance-based method for the analysis of cellular behaviour, based on cellular adhesion. Therefore, we asked the question of whether ECIS was suitable for, and capable of measuring the adhesion of glioblastoma cells. The goal was to identify whether ECIS was capable of measuring glioblastoma cell adhesion, with a particular focus on the glioblastoma stem cells. We reveal that ECIS reliably measures adhesion of the differentiated glioblastoma cells on various array types. We also demonstrate the ability of ECIS to measure the migratory behaviour of differentiated glioblastoma cells onto ECIS electrodes post-ablation. Although the glioblastoma stem cells are adherent, ECIS is substantially less capable at reliably measuring their adhesion, compared with the differentiated counterparts. This means that ECIS has applicability for some glioblastoma cultures but much less utility for weakly adherent stem cell counterparts. MDPI 2021-12-06 /pmc/articles/PMC8699647/ /pubmed/34940255 http://dx.doi.org/10.3390/bios11120498 Text en © 2021 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
Robilliard, Laverne Diana
Yu, Jane
Jun, Sung-Min
Anchan, Akshata
Finlay, Graeme
Angel, Catherine E.
Graham, Euan Scott
Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?
title Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?
title_full Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?
title_fullStr Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?
title_full_unstemmed Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?
title_short Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?
title_sort can ecis biosensor technology be used to measure the cellular responses of glioblastoma stem cells?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699647/
https://www.ncbi.nlm.nih.gov/pubmed/34940255
http://dx.doi.org/10.3390/bios11120498
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