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A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation

机译:细胞分化过程中增强子活化动力学的数学模型

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Cell differentiation and development are for a great part steered by cell type specific enhancers. Transcription factor (TF) binding to an enhancer together with DNA looping result in transcription initiation. In addition to binding motifs for TFs, enhancer regions typically contain specific histone modifications. This information has been used to detect enhancer regions and classify them into different subgroups. However, it is poorly understood how TF binding and histone modifications are causally connected and what kind of molecular dynamics steer the activation process. Contrary to previous studies, we do not treat the activation events as static epigenetic marks but consider the enhancer activation as a dynamic process. We develop a mathematical model to describe the dynamic mechanisms between TF binding and histone modifications known to characterize an active enhancer. We estimate model parameters from time-course data and infer the causal relationships between TF binding and different histone modifications. We benchmark the performance of this framework using simulated data and survey the ability of our method to identify the correct model structures for a variety of system dynamics, noise levels and the number of measurement time points.
机译:细胞的分化和发育在很大程度上受细胞类型特异性增强子的控制。与增强子结合的转录因子(TF)与DNA环化一起导致转录启动。除了结合TF的基序外,增强子区域通常还包含特定的组蛋白修饰。此信息已用于检测增强子区域并将其分为不同的亚组。但是,人们对TF结合和组蛋白修饰之间的因果关系以及什么样的分子动力学控制活化过程知之甚少。与以前的研究相反,我们不将激活事件视为静态表观遗传标记,而是将增强子激活视为动态过程。我们开发了一个数学模型来描述TF绑定和已知的表征活性增强子的组蛋白修饰之间的动力学机制。我们从时程数据估计模型参数,并推断TF结合和不同组蛋白修饰之间的因果关系。我们使用模拟数据对这个框架的性能进行基准测试,并调查我们的方法针对各种系统动力学,噪声水平和测量时间点的数量识别正确的模型结构的能力。

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