JoŽef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia.
Soft Matter. 2020 Apr 1;16(13):3209-3215. doi: 10.1039/c9sm02310k.
Tissues transition between solid-like and fluid-like behavior, which has major implications for morphogenesis and disease. These transitions can occur due to changes in the intrinsic shape of constituent cells and cell motility. We consider an alternative mechanism by studying tissues that explore the energy landscape through stochastic dynamics, driven by turnover of junctional molecular motors. To identify the solid-fluid transition, we start with single-component tissues and show that the mean cell-shape index uniquely describes the effective diffusion coefficient of cell movements, which becomes finite at the transition. We generalize our approach to two-component tissues, and explore cell-sorting dynamics both due to differential adhesion and due to differential degree of junctional fluctuations. We recover some known characteristic scaling relations describing the sorting kinetics, and discover some discrepancies from these relations in the case of differential-fluctuations-driven sorting. Finally, we show that differential fluctuations efficiently sort two solid-like tissues with a fluid intercompartmental boundary.
组织在固态和液态之间转变，这对形态发生和疾病有重大影响。这些转变可能是由于组成细胞的内在形状和细胞运动的变化而发生的。我们通过研究通过连接分子马达的周转率驱动的随机动力学来探索能量景观的组织，从而考虑了一种替代机制。为了确定固-液转变，我们从单组分组织开始，并表明平均细胞形状指数唯一地描述了细胞运动的有效扩散系数，该系数在转变时变为有限值。我们将我们的方法推广到双组分组织，并探索由于差异粘附和由于连接点波动的差异程度而导致的细胞分选动力学。我们恢复了一些描述分选动力学的已知特征标度关系，并发现了在由差异波动驱动的分选情况下与这些关系的一些差异。最后，我们表明，差异波动可有效地将具有流体相间边界的两种固态组织进行分选。
