Article ; Online: Can ECIS Biosensor Technology Be Used to Measure the Cellular Responses of Glioblastoma Stem Cells?
2021 Volume 11, Issue 12
Abstract: 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 ... ...
| Abstract | 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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| MeSH term(s) | Biosensing Techniques ; Electric Impedance ; Glioblastoma ; Humans ; Stem Cells ; Technology |
| Language | English |
| Publishing date | 2021-12-06 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2662125-3 |
| ISSN | 2079-6374 ; 2079-6374 |
| ISSN (online) | 2079-6374 |
| ISSN | 2079-6374 |
| DOI | 10.3390/bios11120498 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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