Journal
JOURNAL OF NEUROSCIENCE METHODS
Volume 329, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jneumeth.2019.108460
Keywords
Entrapment; Cortical neurons; 3D Neuronal culture; Hydrogel; ECM-collagen hydrogel
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Funding
- U.S. Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
- LLNL-LDRD Program [17-SI-002. LLNL-JRNL-775640]
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Background: The emergence of three-dimensional (3D) cell culture in neural tissue engineering has significantly elevated the complexity and relevance of in vitro systems. This is due in large part to the incorporation of biomaterials to impart structural dimensionality on the neuronal cultures. However, a comprehensive understanding of how key seeding parameters affect changes in cell distribution and viability remain unreported. New method: In this study, we systematically evaluated permutations in seeding conditions (i.e., cell concentration and atmospheric CO2 levels) to understand how these affect key parameters in 3D culture characterization (i.e., cell health and distribution). Primary rat cortical neurons (i.e., 2 x 10(6), 4 x 10(6), and 1 x 10(7) cells/mL) were entrapped in collagen blended with ECM proteins (ECM-Collagen) and exposed to atmospheric CO2 (i.e., 0 vs 5% CO2 ) during fibrillogenesis. Results: At 14 days in vitro (DIV), cell distribution within the hydrogel was dependent on cell concentration and atmospheric CO2 during fibrillogenesis. A uniform distribution of cells was observed in cultures with 2 x 10(6) and 4 x 10(6) cells/mL in the presence of 5% CO2, while a heterogeneous distribution was observed in cultures with 1 x 10(7) cells/mL or in the absence of CO2. Furthermore, increased cell concentration was proportional to the rise in cell death at 14 DIV, although cells remain viable > 30 DIV. Comparison with existing methods: ECM-Collagen gels have been shown to increase cell viability of neurons long-term. Conclusion: In using ECM-collagen gels, we highlight the importance of optimizing seeding parameters and thorough 3D culture characterization to understand the neurophysiological responses of these 3D systems.
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