Literature DB >> 27387257

Impedimetric real-time monitoring of neural pluripotent stem cell differentiation process on microelectrode arrays.

Diana Seidel1, Janine Obendorf1, Beate Englich1, Heinz-Georg Jahnke1, Vesselina Semkova2, Simone Haupt3, Mathilde Girard4, Marc Peschanski5, Oliver Brüstle3, Andrea A Robitzki6.   

Abstract

In today's neurodevelopment and -disease research, human neural stem/progenitor cell-derived networks represent the sole accessible in vitro model possessing a primary phenotype. However, cultivation and moreover, differentiation as well as maturation of human neural stem/progenitor cells are very complex and time-consuming processes. Therefore, techniques for the sensitive non-invasive, real-time monitoring of neuronal differentiation and maturation are highly demanded. Using impedance spectroscopy, the differentiation of several human neural stem/progenitor cell lines was analyzed in detail. After development of an optimum microelectrode array for reliable and sensitive long-term monitoring, distinct cell-dependent impedimetric parameters that could specifically be associated with the progress and quality of neuronal differentiation were identified. Cellular impedance changes correlated well with the temporal regulation of biomolecular progenitor versus mature neural marker expression as well as cellular structure changes accompanying neuronal differentiation. More strikingly, the capability of the impedimetric differentiation monitoring system for the use as a screening tool was demonstrated by applying compounds that are known to promote neuronal differentiation such as the γ-secretase inhibitor DAPT. The non-invasive impedance spectroscopy-based measurement system can be used for sensitive and quantitative monitoring of neuronal differentiation processes. Therefore, this technique could be a very useful tool for quality control of neuronal differentiation and moreover, for neurogenic compound identification and industrial high-content screening demands in the field of safety assessment as well as drug development.
Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Equivalent circuit modeling; Impedance spectroscopy; Label-free neuronal differentiation monitoring; Microelectrode array; Neuronal stem cells

Mesh:

Year:  2016        PMID: 27387257     DOI: 10.1016/j.bios.2016.06.056

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  12 in total

Review 1.  Impedance-based cellular assays for regenerative medicine.

Authors:  W Gamal; H Wu; I Underwood; J Jia; S Smith; P O Bagnaninchi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-07-05       Impact factor: 6.237

Review 2.  Towards Three-Dimensional Dynamic Regulation and In Situ Characterization of Single Stem Cell Phenotype Using Microfluidics.

Authors:  Sébastien Sart; Spiros N Agathos
Journal:  Mol Biotechnol       Date:  2018-11       Impact factor: 2.695

Review 3.  Integration of biological systems with electronic-mechanical assemblies.

Authors:  Ning Yi; Haitao Cui; Lijie Grace Zhang; Huanyu Cheng
Journal:  Acta Biomater       Date:  2019-04-17       Impact factor: 8.947

4.  High Aspect Ratio and Light-Sensitive Micropillars Based on a Semiconducting Polymer Optically Regulate Neuronal Growth.

Authors:  Frano Milos; Gabriele Tullii; Federico Gobbo; Francesco Lodola; Francesco Galeotti; Chiara Verpelli; Dirk Mayer; Vanessa Maybeck; Andreas Offenhäusser; Maria Rosa Antognazza
Journal:  ACS Appl Mater Interfaces       Date:  2021-05-13       Impact factor: 9.229

5.  Improvement of Depth Profiling into Biotissues Using Micro Electrical Impedance Spectroscopy on a Needle with Selective Passivation.

Authors:  Joho Yun; Hyeon Woo Kim; Jong-Hyun Lee
Journal:  Sensors (Basel)       Date:  2016-12-21       Impact factor: 3.576

6.  Transistor in a tube: A route to three-dimensional bioelectronics.

Authors:  C Pitsalidis; M P Ferro; D Iandolo; L Tzounis; S Inal; R M Owens
Journal:  Sci Adv       Date:  2018-10-26       Impact factor: 14.136

7.  Machine Learning for Stem Cell Differentiation and Proliferation Classification on Electrical Impedance Spectroscopy.

Authors:  André B Cunha; Jie Hou; Christin Schuelke
Journal:  J Electr Bioimpedance       Date:  2019-12-31

8.  Impedance-based Real-time Monitoring of Neural Stem Cell Differentiation.

Authors:  F J Shah; C Caviglia; K Zór; M Carminati; G Ferrari; M Sampietro; A Martínez-Serrano; J K Emnéus; A R Heiskanen
Journal:  J Electr Bioimpedance       Date:  2021-11-20

Review 9.  Recent Advances in Monitoring Cell Behavior Using Cell-Based Impedance Spectroscopy.

Authors:  Qusai Hassan; Soha Ahmadi; Kagan Kerman
Journal:  Micromachines (Basel)       Date:  2020-06-13       Impact factor: 2.891

10.  Surface Coatings Modulate the Differences in the Adhesion Forces of Eukaryotic and Prokaryotic Cells as Detected by Single Cell Force Microscopy.

Authors:  Philipp Wysotzki; Jan Gimsa
Journal:  Int J Biomater       Date:  2019-04-01
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