Capturing mesenchymal stem cell heterogeneity during osteogenic differentiation: an experimental–modeling approach
Industrial & Engineering Chemistry Research, 2019•ACS Publications
Currently, there is an increasing clinical demand for bone implants for several orthopedic
and maxillofacial surgical procedures. Meeting these demands can be achieved with stem
cells differentiated in vitro toward the osteogenic lineage to produce cells suitable for
implantation in critical size bone defects. Toward this end, we present a population balance
model (PBM) of the osteogenic differentiation of umbilical cord mesenchymal stem cells. Our
experimental–modeling approach describes osteogenesis with a dynamic cell PBM …
and maxillofacial surgical procedures. Meeting these demands can be achieved with stem
cells differentiated in vitro toward the osteogenic lineage to produce cells suitable for
implantation in critical size bone defects. Toward this end, we present a population balance
model (PBM) of the osteogenic differentiation of umbilical cord mesenchymal stem cells. Our
experimental–modeling approach describes osteogenesis with a dynamic cell PBM …
Currently, there is an increasing clinical demand for bone implants for several orthopedic and maxillofacial surgical procedures. Meeting these demands can be achieved with stem cells differentiated in vitro toward the osteogenic lineage to produce cells suitable for implantation in critical size bone defects. Toward this end, we present a population balance model (PBM) of the osteogenic differentiation of umbilical cord mesenchymal stem cells. Our experimental–modeling approach describes osteogenesis with a dynamic cell PBM incorporating the expression of key osteogenic genes and the activity of metabolic pathways involved in osteogenesis. In addition to accurately capturing the phenotypic heterogeneity of osteogenic differentiation, the model also predicts a delay for the onset of differentiation when the cells grow faster, thus a trade-off between proliferation and differentiation over the course of in vitro osteoinduction. The mathematical model from this work sets a solid foundation for future model-based culture or reactor optimization.
ACS Publications
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