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首页> 外文期刊>Physical review, E. Statistical physics, plasmas, fluids, and related interdisciplinary topics >Discrete stochastic model for self-renewal and differentiation of progenitor cells
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Discrete stochastic model for self-renewal and differentiation of progenitor cells

机译:祖细胞自我更新和分化的离散随机模型

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摘要

We propose a discrete model for self-renewal and differentiation of hematopoietic stem cells based on the notion that, in a favorable environment, the commitment of the cells to a particular pair of progeny is a stochastic event with the possibility of either self-renewal or differentiation. Regulatory mechanisms are incorporated into the model, as is diffusion of the cytokines that carry the signals for such mechanisms. The model can produce chaotic states, and is shown to be capable of predicting some key features of the experimental data.
机译:我们基于以下观点提出了一种用于造血干细胞自我更新和分化的离散模型:在有利的环境中,细胞对特定后代对的承诺是随机事件,可能会自我更新或差异化。调节机制被纳入模型,携带这种机制信号的细胞因子的扩散也被纳入模型。该模型可以产生混沌状态,并显示出能够预测实验数据的一些关键特征。

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