Savina M S, Mironova V V
Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia.
Vavilovskii Zhurnal Genet Selektsii. 2020 Feb;24(1):102-107. doi: 10.18699/VJ20.590.
To study the mechanisms underlying developmental pattern formation in a tissue, one needs to analyze the dynamics of the regulators in time and space across the tissue of a specific architecture. This problem is essential for the developmental regulators (morphogens) that distribute over the tissues anisotropically, forming there maxima and gradients and guiding cellular processes in a dose-dependent manner. Here we present the PlantLayout pipeline for MATLAB software, which facilitates the computational studies of tissue patterning. With its help, one can build a structural model of a two-dimensional tissue, embed it into a mathematical model in ODEs, perform numerical simulations, and visualize the obtained results - everything on the same platform. As a result, one can study the concentration dynamics of developmental regulators over the cell layout reconstructed from the real tissue. PlantLayout allows studying the dynamics and the output of gene networks guided by the developmental regulator in specific cells. The gene networks could be different for different cell types. One of the obstacles that PlantLayout removes semi-automatically is the determination of the cell wall orientation which is relevant when cells in the tissue have a polarity. Additionally, PlantLayout allows automatically extracting other quantitative and qualitative features of the cells and the cell walls, which might help in the modeling of a developmental pattern, such as the length and the width of the cell walls, the set of the neighboring cells, cell volume and cell perimeter. We demonstrate PlantLayout performance on the model of phytohormone auxin distribution over the plant root tip.
为了研究组织中发育模式形成的潜在机制,需要分析特定结构组织中调控因子在时间和空间上的动态变化。对于在组织中各向异性分布、形成最大值和梯度并以剂量依赖方式引导细胞过程的发育调控因子(形态发生素)而言,这个问题至关重要。在此,我们展示了适用于MATLAB软件的PlantLayout管道,它有助于组织模式形成的计算研究。借助它,人们可以构建二维组织的结构模型,将其嵌入常微分方程的数学模型中,进行数值模拟,并可视化获得的结果——所有这些都在同一平台上完成。因此,人们可以研究发育调控因子在从真实组织重建的细胞布局上的浓度动态变化。PlantLayout允许研究特定细胞中由发育调控因子引导的基因网络的动态变化和输出。不同细胞类型的基因网络可能不同。PlantLayout半自动消除的障碍之一是确定细胞壁方向,这在组织中的细胞具有极性时很重要。此外,PlantLayout允许自动提取细胞和细胞壁的其他定量和定性特征,这可能有助于发育模式的建模,例如细胞壁的长度和宽度、相邻细胞集、细胞体积和细胞周长。我们在植物根尖上植物激素生长素分布模型上展示了PlantLayout的性能。