Modeling elucidates context dependence in adipose regulation.

IF 7.7 Cell systems Pub Date : 2023-12-20 DOI:10.1016/j.cels.2023.11.002
Cameron D Vasquez, John G Albeck
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Abstract

Single-cell data and computational simulations reveal the dynamics of the transcription factors HIF1α and PPARγ during adipocyte differentiation and maturation. Modeling feedback within this network predicts a HIF1α-mediated choice between lipid accumulation and incomplete differentiation. In vitro experiments support this model, with implications for adipose dynamics in metabolic disorders involving hypoxia.

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建模阐明了脂肪调节的环境依赖性。
单细胞数据和计算模拟揭示了转录因子 HIF1α 和 PPARγ 在脂肪细胞分化和成熟过程中的动态变化。该网络中的反馈模型预测,HIF1α介导的脂质积累和不完全分化之间的选择。体外实验支持这一模型,并对涉及缺氧的代谢紊乱中的脂肪动态产生影响。
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