论文标题
细胞调节基序的缓冲可变性接近关键性
Buffering variability in cell regulation motifs close to criticality
论文作者
论文摘要
双态生物调节系统需要应对随机噪声，以微调其功能接近分叉点。在这里，我们研究了通用系统中这种制度的稳定性特性，以证明合作相互作用的缓冲系统变异性，阻碍了噪声引起的状态变化。我们的分析还表明，在考虑的合作范围内，可以通过分布数据中的统计预警信号来检测到即将进行的政权转移。我们基于最小模型的通用框架可用于提取更复杂模型的鲁棒性和可变性属性，以及接近关键性的经验数据。
Bistable biological regulatory systems need to cope with stochastic noise to fine-tune their function close to bifurcation points. Here, we study stability properties of this regime in generic systems to demonstrate that cooperative interactions buffer system variability, hampering noise-induced regime shifts. Our analysis also shows that, in the considered cooperativity range, impending regime shifts can be generically detected by statistical early warning signals from distributional data. Our generic framework, based on minimal models, can be used to extract robustness and variability properties of more complex models and empirical data close to criticality.
