Modeling stem cell population growth: Incorporating terms for proliferative heterogeneity

被引:64
作者
Deasy, BM
Jankowski, RJ
Payne, TR
Cao, B
Goff, JP
Greenberger, JS
Huard, J [1 ]
机构
[1] Childrens Hosp Pittsburgh, Growth & Dev Lab, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Sch Med, Dept Orthoped Surg, Pittsburgh, PA 15213 USA
[3] Univ Pittsburgh, Sch Med, Dept Mol Genet, Pittsburgh, PA 15213 USA
[4] Univ Pittsburgh, Sch Med, Dept Biochem, Pittsburgh, PA 15213 USA
[5] Univ Pittsburgh, Sch Med, Dept Bioengn, Pittsburgh, PA 15213 USA
[6] Univ Pittsburgh, Sch Med, Dept Radiat Oncol, Pittsburgh, PA 15213 USA
关键词
nonexponential; mathematical model; kinetics; muscle-derived stem cell; proliferation;
D O I
10.1634/stemcells.21-5-536
中图分类号
Q813 [细胞工程];
学科分类号
摘要
Expansion of the undifferentiated stem cell phenotype is one of the most challenging aspects in stem cell research. Clinical protocols for stem cell therapeutics will require standardization of defined culture conditions. A first step in the development of predictable and reproducible, scalable bioreactor processes is the development of mathematical growth models. This paper provides practical models for describing cell growth in general, which are particularly well suited for examining stem cell populations. The nonexponential kinetics of stem cells derive from proliferative heterogeneity, which is biologically recognized as mitosis, quiescence, senescence, differentiation, or death. Here, we examined the assumptions of the Sherley model, which describes heterogeneous expansion in the absence of cell loss. We next incorporated terms into the model to account for A) cell loss or apoptosis and B) cell differentiation. We conclude that the basic assumptions of the model are valid and a high correlation between the modified equations and experimental data obtained using muscle-derived stem cells was observed. Finally, we demonstrate an improved estimation of the kinetic parameters. This study contributes to both the biological and mathematical understanding of stem cell dynamics. Further, it is expected that the models will prove useful in establishing standardization of cell culture conditions and scalable systems and will be required to develop clinical protocols for stem cell therapeutics.
引用
收藏
页码:536 / 545
页数:10
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