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Modeling the behavior of human induced pluripotent stem cells seeded on melt electrospun scaffolds Hall, Meghan E; Mohtaram, Nima K; Willerth, Stephanie M; Edwards, Roderick

Abstract

Background: Human 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. Results: We 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. Conclusions: Our mathematical model determined the key factors controlling hiPSC behavior on melt electrospun scaffolds, enabling optimization of experimental parameters.

Item Metadata

Title
Modeling the behavior of human induced pluripotent stem cells seeded on melt electrospun scaffolds
Creator
Hall, Meghan E; Mohtaram, Nima K; Willerth, Stephanie M; Edwards, Roderick
Contributor
International Collaboration on Repair Discoveries
Publisher
BioMed Central
Date Issued
2017-10-23
Description
Background: Human 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. Results: We 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. Conclusions: Our mathematical model determined the key factors controlling hiPSC behavior on melt electrospun scaffolds, enabling optimization of experimental parameters.
Subject
Stem cell; Ordinary differential equation; Differentiation; Proliferation; Tissue engineering
Genre
Article
Type
Text
Language
eng
Date Available
2018-05-16
Provider
Vancouver : University of British Columbia Library
Rights
Attribution 4.0 International (CC BY 4.0)
DOI
10.14288/1.0366880
URI
http://hdl.handle.net/2429/65933
Affiliation
Medicine, Faculty of; Other UBC; Non UBC; Biochemistry and Molecular Biology, Department of
Citation
Journal of Biological Engineering. 2017 Oct 23;11(1):38
Publisher DOI
10.1186/s13036-017-0080-5
Peer Review Status
Reviewed
Scholarly Level
Faculty
Copyright Holder
The Author(s)
Rights URI
http://creativecommons.org/licenses/by/4.0/
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Attribution 4.0 International (CC BY 4.0)