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首页> 外文期刊>Mathematical Biosciences: An International Journal >Modeling the dynamics of hypoxia inducible factor-1 alpha (HIF-1 alpha) within single cells and 3D cell culture systems
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Modeling the dynamics of hypoxia inducible factor-1 alpha (HIF-1 alpha) within single cells and 3D cell culture systems

机译:在单细胞和3D细胞培养系统中模拟缺氧诱导因子1α(HIF-1 alpha)的动力学

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HIP (hypoxia inducible factor) is an oxygen-regulated transcription factor that mediates the intracellular response to hypoxia in human cells. There is increasing evidence that cell signaling pathways encode temporal information, and thus cell fate may be determined by the dynamics of protein levels. We have developed a mathematical model to describe the transient dynamics of the HIF-1 alpha protein measured in single cells subjected to hypoxic shock. The essential characteristics of these data are modeled with a system of differential equations describing the feedback inhibition between HIP-1 alpha and prolyl hydroxylases (PHD) oxygen sensors. Heterogeneity in the single-cell data is accounted through parameter variation in the model. We previously identified the PHD2 isoform as the main PHD sensor responsible for controlling the HIP-1 alpha transient response, and make here testable predictions regarding HIF-1 alpha dynamics subject to repetitive hypoxic pulses. The model is further developed to describe the dynamics of HIP-1 alpha in cells cultured as 3D spheroids, with oxygen dynamics parameterized using experimental measurements of oxygen within spheroids. We show that the dynamics of HIP-1 alpha and transcriptional targets of HIP-1 alpha display a non-monotone response to the oxygen dynamics. Specifically we demonstrate that the dynamic transient behavior of HIP-1 alpha results in differential dynamics in transcriptional targets. (C) 2014 Elsevier Inc. All rights reserved.
机译:HIP(低氧诱导因子)是一种氧调节的转录因子,可介导人类细胞对低氧的细胞内应答。越来越多的证据表明细胞信号通路编码时间信息,因此细胞命运可能由蛋白质水平的动态决定。我们已经开发了一个数学模型来描述在缺氧休克的单个细胞中测量的HIF-1α蛋白的瞬态动力学。这些数据的基本特征通过微分方程系统建模,该系统描述了HIP-1α和脯氨酰羟化酶(PHD)氧传感器之间的反馈抑制。单细胞数据的异质性是通过模型中的参数变化来解决的。我们先前将PHD2亚型确定为主要的PHD传感器,负责控制HIP-1α的瞬态响应,并在此进行关于可重复缺氧脉冲的HIF-1α动态的可测预测。进一步开发该模型以描述培养为3D球体的细胞中HIP-1α的动力学,并使用对球体中氧的实验测量对氧动力学进行参数化。我们表明,HIP-1 alpha的动力学和HIP-1 alpha的转录目标显示出对氧气动力学的非单调响应。具体来说,我们证明了HIP-1 alpha的动态瞬态行为会导致转录靶标中的差异动力学。 (C)2014 Elsevier Inc.保留所有权利。

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