Structure-property relationships of cell clusters in biotissues: 2D analysis
Structure-property relationships of cell clusters in biotissues: 2D analysis
复制标题
生物组织中细胞簇的结构-性质关系：二维分析
DOI：
10.1039/c7cp00007c
复制
发表时间：
2017
影响因子：
3.3
通讯作者：
Zhang Shengli
中科院分区：
文献类型：
--
作者：
Zhou Xiaohua;Zhang Erhu;Xia Minggang;Zhang Lei;Tian Zhiqi;Liu Jianlin;Zhang Shengli
深入了解自组织细胞结构与生物组织特性之间的关系有助于揭示生物材料的功能及其设计原理。然而，传统使用的随机泡沫模型忽略了细胞簇框架的几个重要细节，导致结论不完整。在这里，我们使用更完整的模型，即细胞粘附模型，来研究二维（2D）干细胞泡沫的机械和形态特性。由于这些二维结构是通过细胞粘附形成的，因此系统可以通过最小化自由能来达到平衡。在无体积约束的平衡条件下，推导了高度对称结构的形状方程，并得到了相应的杨氏模量、体积模量和破坏强度等力学参数的解析结果。此外，在体积约束下，应用数值模拟方法研究复杂的形状并获得几种稳定的多细胞结构。还观察到由体积变化引起的对称性破缺。此外，还探讨了典型的周期形状和相应的相变。我们的研究提供了一种新的潜在方法来连接生物组织的微观结构和宏观力学参数。该结果对于理解生物组织结构的形成机制也很有用。
Gaining insight into the relationships between the self-organized cell structures and the properties of biotissues is helpful for revealing the function of biomaterials and its designing principle. However, the traditionally used random foam model neglects several important details of the frameworks of cell clusters resulting in incomplete conclusions. Herein, we use a more complete model, the cell adhesion model, to investigate the mechanical and morphological properties of the two-dimensional (2D) dry cell foams. Since these 2D structures are formed by cell adhesion, the system can reach equilibrium through minimizing free energy. Under the equilibrium conditions without volume constraint, shape equations for highly symmetrical structures are derived, and the analytical results of the corresponding mechanical parameters, such as the Young's modulus, bulk modulus and failure strength, are obtained. Moreover, with volume constraint, numerical simulation method is applied to study the complex shapes and obtain several stable multicellular structures. Symmetry breaking caused by the volume change is also observed. Moreover, typical periodic shapes and the corresponding phase transformations are also explored. Our study provides a new potential method to bridge the microstructure and macro-mechanical parameters of biotissues. The results are also useful for understanding the formation mechanism of biotissue structures.