Using computational fluid dynamics (CFD) modeling to understand murine embryonic stem cell aggregate size and pluripotency distributions in stirred suspension bioreactors
| Autor: | Breanna S. Borys, Derrick E. Rancourt, Charlie Yu-Ming Hsu, Tiffany Dang, Leili Rohani, An Le, Ian D. Gates, Michael S. Kallos, Alexander A. Wyma, Erin L. Roberts |
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| Rok vydání: | 2019 |
| Předmět: |
Pluripotent Stem Cells
0106 biological sciences 0301 basic medicine Homeobox protein NANOG Cell Culture Techniques Bioengineering Average level Computational fluid dynamics complex mixtures 01 natural sciences Applied Microbiology and Biotechnology Mice 03 medical and health sciences Bioreactors 010608 biotechnology Bioreactor Animals Cells Cultured Embryonic Stem Cells Cell Aggregation Cell Size business.industry Chemistry technology industry and agriculture General Medicine Models Theoretical equipment and supplies Embryonic stem cell 030104 developmental biology Distribution pattern Hydrodynamics Biophysics Stress Mechanical business Biotechnology |
| Zdroj: | Journal of Biotechnology. 304:16-27 |
| ISSN: | 0168-1656 |
| Popis: | Computational fluid dynamics (CFD) modeling can be applied to understand hydrodynamics in stirred suspension bioreactors, which can in turn affect cell viability, proliferation, pluripotency and differentiation. In this study, we developed a CFD model to determine the effects of average shear rates and turbulent eddies on the formation and growth of murine embryonic stem cell aggregates. We found a correlation between average eddy size and aggregate size, which depended on bioreactor agitation rates. By relating these computational and biological variables, CFD modeling can predict optimal agitation rates to grow embryonic stem cell aggregates in stirred suspension bioreactors. To examine the effect of hydrodynamics on pluripotency, mESCs cultured in bioreactors under various agitation rates were tested for SSEA-1, Sox-2, and Nanog expression. Cells maintained a minimum of 95% positive expression with no change in the intensity distribution pattern between the different bioreactor conditions. This indicates that the average level of pluripotency marker expression is independent of changes in the hydrodynamic profile and resulting aggregate size distribution. The findings here can be further extended to other cell types that grow as aggregates in stirred suspension bioreactors and offer important insights necessary to realize cell therapies. |
| Databáze: | OpenAIRE |
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