论文标题
基于单细胞数据对细胞信号变异性进行建模：TGFB/SMAD信号通路
Modelling cellular signalling variability based on single-cell data: the TGFb/SMAD signaling pathway
论文作者
论文摘要
非遗传异质性是细胞决策的关键，因为即使是遗传上相同的细胞对相同的外部刺激，例如在细胞分化或治疗疾病治疗期间的反应非常不同。通常已经在信号通路的水平上观察到强的异质性，这些信号通路是外部输入的第一个传感器，并将信息传输到做出决策的核。由于异质性是由细胞成分的随机波动引起的，因此需要数学模型充分描述现象并了解异质细胞群体的动力学。在这里，我们回顾了有关细胞信号传导异质性的实验和理论文献，特别关注TGFB/SMAD信号通路。
Non-genetic heterogeneity is key to cellular decisions, as even genetically identical cells respond in very different ways to the same external stimulus, e.g., during cell differentiation or therapeutic treatment of disease. Strong heterogeneity is typically already observed at the level of signaling pathways that are the first sensors of external inputs and transmit information to the nucleus where decisions are made. Since heterogeneity arises from random fluctuations of cellular components, mathematical models are required to fully describe the phenomenon and to understand the dynamics of heterogeneous cell populations. Here, we review the experimental and theoretical literature on cellular signaling heterogeneity, with special focus on the TGFb/SMAD signaling pathway.
