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A Mathematical Model for Selective Differentiation of Neural Progenitor Cells on Micropatterned Polymer Substrates

机译:一种用于微型祖细胞对微仿性聚合物基材的分化的数学模型

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摘要

The biological hypothesis that the atrocyte-secreted cytokine, interleukin-6 (IL6), stimulates differentiation of adult rat hippocampal progenitor cells (AHPCs) is considered from a mathematical perspective. The proposed mathematical model includes two different mechanisms for stimulation and is based on mass-action kinetics. Both biological mechanisms involve sequential binding, with one pathway solely utilizing surface receptors while the other pathway also involves soluble receptors. Choosing biologically-reasonable values for parameters, simulations of the mathematical model show good agreement with experimental results. A global sensitivity analysis is also conducted to determine both the most influential and non-influential parameters on cellular differentiation, providing additional insights into the biological mechanisms.
机译:从数学的角度考虑了从数学的角度考虑了阿脱肽分泌的细胞因子,白细胞介素-6(IL6),刺激成年大鼠海马祖细胞(AHPC)的分化的生物假设。所提出的数学模型包括两种不同的刺激机制,并且基于大规模动作动力学。这两个生物机制涉及序贯结合,一种途径仅利用表面受体,而其他途径也涉及可溶性受体。为参数选择生物学 - 合理的值,数学模型的模拟显示了与实验结果的良好一致性。还进行了全局敏感性分析,以确定蜂窝分化中最有影响力和非影响力的参数,为生物机制提供了额外的见解。

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