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首页> 外文期刊>PLoS Computational Biology >Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis
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Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis

机译:基于样本的建模显示细胞周期进展与外在凋亡之间的双向相互作用

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TRAIL (TNF-related apoptosis-inducing ligand) induces cell death preferentially in cancer cells. Whether cell cycle progression notably affects extrinsic apoptosis has remained unclear, since systematic experimental and mathematical studies to quantitatively understand such interdependencies remained challenging. Here, we applied statistical and mechanistic modeling, linked with experimental analyses, to determine if cell cycle and apoptosis progression are interconnected. Using sample-based modeling, we demonstrate that times required to commit apoptotic cell death depend on the cell cycle position at the time of TRAIL exposure, with delays manifesting during S phase, around a time that can be defined as a point of apoptosis deceleration (PAD). Overall, cells receiving TRAIL in the G1 phase were more likely to die, providing scope to optimize TRAIL-based treatment strategies with respect to cell cycle dynamics.
机译:足迹(TNF相关的凋亡诱导配体)优先在癌细胞中诱导细胞死亡。无论细胞周期进展是否显着影响外在的细胞凋亡都仍不清楚,因为系统的实验和数学研究定量地理解这种相互依赖性仍然挑战。这里,我们应用与实验分析相关的统计和机械建模,以确定细胞周期和凋亡进展是否相互连接。使用基于样品的建模,我们证明提交凋亡细胞死亡所需的时间取决于径至暴露时的细胞周期位置,在S相期间表现出延迟,大约可以定义为细胞凋亡减速度的时间(软垫)。总体而言,在G1相中接收迹线的细胞更有可能死,提供范围,以优化基于基于轨迹的治疗策略,相对于细胞周期动态。

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