Work

Optimizing cell encapsulation condition in ECM-Collagen I hydrogels to support 3D neuronal cultures

Year: 2019
Type: article
Abstract: 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 CO 2 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 × 10 6 , 4 × 10 6 , and 1 × 10 7 cells/mL) were entrapped in collagen blended with ECM proteins (ECM-Collagen) and exposed to atmospheric CO 2 (i.e., 0 vs 5% CO 2 ) during fibrillogenesis. Results At 14 days in vitro (DIV), cell distribution within the hydrogel was dependent on cell concentration and atmospheric CO 2 during fibrillogenesis. A uniform distribution of cells was observed in cultures with 2 × 10 6 and 4 × 10 6 cells/mL in the presence of 5% CO 2 , while a heterogeneous distribution was observed in cultures with 1 × 10 7 cells/mL or in the absence of CO 2 . 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.
Language: English
Open Access status: hybrid
Estimated APC paid: $2,450
OpenAlex ID: W2980714100
FWCI: 2.591
Cites: 42
Cited by: 50
Related to: 10