A micro-fabricated in vitro complex neuronal circuit platform
journal contributionposted on 12.06.2019, 13:40 by M. Kamudzandu, Matthew Kose-Dunn, M.G. Evans, Rosemary Fricker, Paul RoachPaul Roach
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+ andK+ 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.
This work was supported by a Parkinson’sUK Innovation Grant K1302 to RF and PR. For part of the study, MKandMKDwere funded as doctoral students by the EPSRC Centre for Doctoral Training in Regenerative Medicine, held at Keele, Loughborough and Nottingham Universities (EP/F500491/1).