论文标题
蜂窝梯度流结构连接单细胞级规则和人口级动力学
Cellular gradient flow structure connects single-cell-level rules and population-level dynamics
论文作者
论文摘要
在多细胞系统中，单细胞行为应与总体动态和功能保持一致。但是，单细胞规则与人口级目标之间的相互关系仍然难以捉摸。在这项工作中，我们揭示了这两个级别通过异质细胞种群的梯度流结构自然连接，并且在生物学上普遍存在的单细胞规则，例如单向类型转换和类型的分层顺序。我们还证明了T细胞免疫反应的标准模型中的梯度流结构。该理论框架是理解多细胞动力学和功能的基础。
In multicellular systems, the single-cell behaviors should be coordinated consistently with the overall population dynamics and functions. However, the interrelation between single-cell rules and the population-level goal is still elusive. In this work, we reveal that these two levels are naturally connected via a gradient flow structure of the heterogeneous cellular population and that biologically prevalent single-cell rules such as unidirectional type-switching and hierarchical order in types emerge from this structure. We also demonstrate the gradient flow structure in a standard model of the T-cell immune response. This theoretical framework works as a basis for understanding multicellular dynamics and functions.
