论文标题

机械反馈控制生长组织单层动态记忆的出现

Mechanical feedback controls the emergence of dynamical memory in growing tissue monolayers

论文作者

Sinha, Sumit, Li, Xin, Das, Rajsekhar, Thirumalai, D.

论文摘要

组织的生长取决于细胞 - 细胞相互作用和与生物学相关的过程,例如细胞分裂和凋亡,受到机械反馈机制的调节。我们在最小的二维模型中解释了这些效果,以研究机械反馈的后果,该后果由临界压力($ p_c $)控制。如果由于与邻居的互动而遇到的压力小于$ p_c $,则单元格才能生长和分裂。由于温度是模型中无关的变量,因此细胞动力学是由由细胞分裂创建的自我生成的活性力(SGAF)驱动的。结果表明,即使在没有细胞间相互作用的情况下,细胞也会发生扩散行为。 SGAF驱动的扩散与在固定有限温度下的自由布朗粒子的众所周知动力学没有区别。当考虑到细胞间相互作用时,我们发现力量自相关函数($ faf $)中的持续时间相关性,该函数延伸了几个细胞分裂时间的时间表。 $ FAF $的时间依赖性揭示了内存效果,随着PC的增加,它会增加。由于细胞分裂和机械反馈的相互作用而引起的观察到的非马克维亚效应出现,并且本质上是一种非平衡现象。

The growth of a tissue, which depends on cell-cell interactions and biologically relevant process such as cell division and apoptosis, is regulated by a mechanical feedback mechanism. We account for these effects in a minimal two-dimensional model in order to investigate the consequences of mechanical feedback, which is controlled by a critical pressure, $p_c$. A cell can only grow and divide if the pressure it experiences, due to interaction with its neighbors, is less than $p_c$. Because temperature is an irrelevant variable in the model, the cell dynamics is driven by self-generated active forces (SGAFs) that are created by cell division. It is shown that even in the absence of intercellular interactions, cells undergo diffusive behavior. The SGAF driven diffusion is indistinguishable from the well-known dynamics of a free Brownian particle at a fixed finite temperature. When intercellular interactions are taken into account, we find persistent temporal correlations in the force-force autocorrelation function ($FAF$) that extends over timescale of several cell division times. The time-dependence of the $FAF$ reveals memory effects, which increases as pc increases. The observed non-Markovian effects emerge due to the interplay of cell division and mechanical feedback, and is inherently a non-equilibrium phenomenon.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源