arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2102.00248physics.bio-ph
收藏

PalaCell2D:一种用于详细组织形态发生的框架

PalaCell2D: A framework for detailed tissue morphogenesis

University of Geneva(日内瓦大学)

Raphaël Conradin, Christophe Coreixas, Jonas Latt, Bastien Chopard

AI总结:

PalaCell2D提出了一种基于详细细胞描述和格子玻尔兹曼方法的框架,用于模拟组织形态发生,通过细胞膜动力学和化学信号扩散实现细胞生长与迁移的精确建模。

摘要:

在计算机模拟中,基于细胞的方法用于建模生物形态发生,以测试和验证我们对生长和组织组织过程中生物和机械过程的理解。与活体实验相比,专门用于组织建模的计算机框架使我们能够更容易地测试不同假设,并量化各种生物物理相关参数的影响。在这里,我们提出了一种基于详细但简单的细胞描述的公式,以考虑细胞内、细胞间和细胞外的机制。更具体地说,细胞生长和分裂通过膜顶点的空间和时间演化来描述。这些顶点遵循牛顿动力学,意味着它们的演变由不同类型的力量控制:膜力(弹簧和弯曲)、粘附力(细胞间弹簧)、外部和内部压力力。除了细胞动态外,我们的公式还依赖于使用Palabos库的格子玻尔兹曼方法,用于模拟化学信号的扩散。后者旨在通过简单地改变细胞的状态来驱动组织的生长和迁移。所有这些都导致了对细胞生长和分裂的准确描述,具有现实的细胞形状,其中膜可以有不同的属性。虽然这项工作具有方法论性质,但我们还通过简单但具有生物相关性的基准测试来验证我们的框架,涵盖单细胞和完整组织尺度。这包括在无界域中自由和化学控制的细胞组织生长。我们框架模拟细胞迁移、细胞压缩和外部约束下的形态发生的潜力也以定性方式进行了研究。

英文摘要:

In silico, cell based approaches for modeling biological morphogenesis are used to test and validate our understanding of the biological and mechanical process that are at work during the growth and the organization of multi-cell tissues. As compared to in vivo experiments, computer based frameworks dedicated to tissue modeling allow us to easily test different hypotheses, and to quantify the impact of various biophysically relevant parameters. Here, we propose a formalism based on a detailed, yet simple, description of cells that accounts for intra-, inter- and extra-cellular mechanisms. More precisely, the cell growth and division is described through the space and time evolution of the membrane vertices. These vertices follow a Newtonian dynamics, meaning that their evolution is controlled by different types of forces: a membrane force (spring and bending), an adherence force (inter cellular spring), external and internal pressure forces. In addition to the cells dynamics, our formalism further relies on a lattice Boltzmann method, using the Palabos library, to simulate the diffusion of chemical signals. The latter aims at driving the growth and migration of a tissue by simply changing the state of the cells. All of this leads to an accurate description of the growth and division of cells, with realistic cell shapes and where membranes can have different properties. While this work is of methodological nature, we also propose to validate our framework through simple, yet biologically relevant benchmark tests at both single-cell and full tissue scales. This includes free and chemically controlled cell tissue growth in an unbounded domain. The ability of our framework to simulate cell migration, cell compression and morphogenesis under external constraints is also investigated in a qualitative manner.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑