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A Micro-fabricated in vitro Platform to Model Complex Neuronal Functionality of a Central Nervous System Circuit

A Micro-fabricated in vitro Platform to Model Complex Neuronal Functionality of a Central Nervous System Circuit Thumbnail


Abstract

Developments in micro-manufacture as well as biofabrication technologies are driving our ability to create complex tissue models such as‘organ-on-a-chip’ devices. The complexity of neural tissue, however, requires precisely specific cellular connectivity across many neuronal populations, and thus there have been limited reports of complex ‘brain-on-a-chip’ technologies modelling specific cellular circuit function. Here we describe the development of a model of in vitro brain circuitry designed to accurately reproduce part of the complex circuitry involved in neurodegenerative diseases; using segregated co-culture of specific basal ganglia (BG) neuronal subtypes to model central nervous system circuitry. Lithographic methods and chemical modification were used to form structured microchannels, which were populated by specifically cultured neuronal sub-types to represent parts of the inter-communicating neural circuit. Cell morphological assessment and immunostaining showed connectivity, which was supported by electrophysiology measurements. Electrical activity of cells was measured using patch-clamp, showing voltage dependant Na+ and K+ currents, and blocking of Na+ current by TTX, and calcium imaging showing TTX-sensitive slow Ca2+ oscillations resulting from action potentials. Monitoring cells across connected ports post-TTX addition demonstrated both upstream and downstream changes in activity, indicating network connectivity. The model developed herein provides a platform technology that could be used to better understand neurological function and dysfunction, contributing to a growing urgency for better treatments of neurodegenerative disease. We anticipate the use of this advancing technology for the assessment of pharmaceutical and cellular therapies as a means of pre-clinical assessment, and further for the advancement of neural engineering approaches for tissue engineering.

Acceptance Date May 20, 2019
Publication Date Jun 3, 2019
Publicly Available Date Mar 28, 2024
Journal Biomedical Physics & Engineering Express
Print ISSN 2057-1976
Publisher IOP Publishing
DOI https://doi.org/10.1088/2057-1976/ab2307
Keywords neuronal
Publisher URL https://iopscience.iop.org/article/10.1088/2057-1976/ab2307

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