3D Electrophysiological Measurements on Cells Embedded within Fiber-Reinforced Matrigel

Please always quote using this URN: urn:nbn:de:bvb:20-opus-244194
  • 2D electrophysiology is often used to determine the electrical properties of neurons, while in the brain, neurons form extensive 3D networks. Thus, performing electrophysiology in a 3D environment provides a closer situation to the physiological condition and serves as a useful tool for various applications in the field of neuroscience. In this study, we established 3D electrophysiology within a fiber-reinforced matrix to enable fast readouts from transfected cells, which are often used as model systems for 2D electrophysiology. Using melt2D electrophysiology is often used to determine the electrical properties of neurons, while in the brain, neurons form extensive 3D networks. Thus, performing electrophysiology in a 3D environment provides a closer situation to the physiological condition and serves as a useful tool for various applications in the field of neuroscience. In this study, we established 3D electrophysiology within a fiber-reinforced matrix to enable fast readouts from transfected cells, which are often used as model systems for 2D electrophysiology. Using melt electrowriting (MEW) of scaffolds to reinforce Matrigel, we performed 3D electrophysiology on a glycine receptor-transfected Ltk-11 mouse fibroblast cell line. The glycine receptor is an inhibitory ion channel associated when mutated with impaired neuromotor behaviour. The average thickness of the MEW scaffold was 141.4 ± 5.7µm, using 9.7 ± 0.2µm diameter fibers, and square pore spacings of 100 µm, 200 µm and 400 µm. We demonstrate, for the first time, the electrophysiological characterization of glycine receptor-transfected cells with respect to agonist efficacy and potency in a 3D matrix. With the MEW scaffold reinforcement not interfering with the electrophysiology measurement, this approach can now be further adapted and developed for different kinds of neuronal cultures to study and understand pathological mechanisms under disease conditions.show moreshow less

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Metadaten
Author: Natascha Schaefer, Dieter Janzen, Ezgi Bakirci, Andrei Hrynevich, Paul D. Dalton, Carmen Villmann
URN:urn:nbn:de:bvb:20-opus-244194
Document Type:Preprint
Faculties:Medizinische Fakultät / Institut für Klinische Neurobiologie
Medizinische Fakultät / Abteilung für Funktionswerkstoffe der Medizin und der Zahnheilkunde
Language:English
Parent Title (English):Advanced Healthcare Materials
Year of Completion:2019
Source:Advanced Healthcare Materials 2019, 8, 1801226. https://doi.org/10.1002/adhm.201801226
DOI:https://doi.org/10.1002/adhm.201801226
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:3D cultures
Release Date:2021/09/08
Licence (German):License LogoDeutsches Urheberrecht