Modeling the behavior of human induced pluripotent stem cells seeded on melt electrospun scaffolds |
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| Authors: | Meghan E. Hall Nima Khadem Mohtaram Stephanie M. Willerth |
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| Affiliation: | 1.Department of Mathematics and Statistics,University of Victoria,Victoria,Canada;2.Department of Mechanical Engineering,University of Victoria,Victoria,Canada;3.Division of Medical Sciences,University of Victoria,Victoria,Canada;4.Department of Biochemistry,University of British Columbia,Vancouver,Canada;5.International Collaboration on Repair Discoveries,University of British Columbia,Vancouver,Canada;6.Centre for Biomedical Research,University of Victoria,Victoria,Canada |
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| Abstract: | BackgroundHuman induced pluripotent stem cells (hiPSCs) can form any tissue found in the body, making them attractive for regenerative medicine applications. Seeding hiPSC aggregates into biomaterial scaffolds can control their differentiation into specific tissue types. Here we develop and analyze a mathematical model of hiPSC aggregate behavior when seeded on melt electrospun scaffolds with defined topography.ResultsWe used ordinary differential equations to model the different cellular populations (stem, progenitor, differentiated) present in our scaffolds based on experimental results and published literature. Our model successfully captures qualitative features of the cellular dynamics observed experimentally. We determined the optimal parameter sets to maximize specific cellular populations experimentally, showing that a physiologic oxygen level (～?5%) increases the number of neural progenitors and differentiated neurons compared to atmospheric oxygen levels (～?21%) and a scaffold porosity of ～?63% maximizes aggregate size.ConclusionsOur mathematical model determined the key factors controlling hiPSC behavior on melt electrospun scaffolds, enabling optimization of experimental parameters. |
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