Fuhr Matthias Jörg, Meyer Michael, Fehr Eric, Ponzio Gilles, Werner Sabine, Herrmann Hans Jürgen
ETH Zurich, Institute for Building Materials, Computational Physics for Engineering Materials, Zurich, Switzerland.
ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland.
PLoS One. 2015 Feb 11;10(2):e0117676. doi: 10.1371/journal.pone.0117676. eCollection 2015.
The skin forms an efficient barrier against the environment, and rapid cutaneous wound healing after injury is therefore essential. Healing of the uppermost layer of the skin, the epidermis, involves collective migration of keratinocytes, which requires coordinated polarization of the cells. To study this process, we developed a model that allows analysis of live-cell images of migrating keratinocytes in culture based on a small number of parameters, including the radius of the cells, their mass and their polarization. This computational approach allowed the analysis of cell migration at the front of the wound and a reliable identification and quantification of the impaired polarization and migration of keratinocytes from mice lacking fibroblast growth factors 1 and 2--an established model of impaired healing. Therefore, our modeling approach is suitable for large-scale analysis of migration phenotypes of cells with specific genetic defects or upon treatment with different pharmacological agents.
皮肤形成了一道抵御外界环境的有效屏障,因此受伤后皮肤伤口的快速愈合至关重要。皮肤最上层即表皮的愈合涉及角质形成细胞的集体迁移,这需要细胞的协调极化。为了研究这一过程,我们开发了一个模型,该模型能够基于包括细胞半径、质量及其极化等少量参数,对培养中迁移的角质形成细胞的活细胞图像进行分析。这种计算方法能够分析伤口前沿的细胞迁移情况,并可靠地识别和量化来自缺乏成纤维细胞生长因子1和2的小鼠的角质形成细胞的极化和迁移受损情况——这是一个公认的愈合受损模型。因此,我们的建模方法适用于对具有特定基因缺陷的细胞或经不同药物处理后的细胞的迁移表型进行大规模分析。