Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Materials Science and Engineering, Arizona State University, Tempe, Arizona; Department of Physics, Arizona State University, Tempe, Arizona.
Biophys J. 2024 Mar 19;123(6):730-744. doi: 10.1016/j.bpj.2024.02.010. Epub 2024 Feb 16.
Cell migration, which is primarily characterized by directional persistence, is essential for the development of normal tissues and organs, as well as for numerous pathological processes. However, there is a lack of simple and efficient tools to analyze the systematic properties of persistence based on cellular trajectory data. Here, we present a novel approach, the entropy of angular distribution , which combines cellular turning dynamics and Shannon entropy to explore the statistical and time-varying properties of persistence that strongly correlate with cellular migration modes. Our results reveal the changes in the persistence of multiple cell lines that are tightly regulated by both intra- and extracellular cues, including Arpin protein, collagen gel/substrate, and physical constraints. Significantly, some previously unreported distinctive details of persistence have also been captured, helping to elucidate how directional persistence is distributed and evolves in different cell populations. The analysis suggests that the entropy of angular distribution-based approach provides a powerful metric for evaluating directional persistence and enables us to better understand the relationships between cellular behaviors and multiscale cues, which also provides some insights into the migration dynamics of cell populations, such as collective cell invasion.
细胞迁移主要表现为定向持久性，对于正常组织和器官的发育以及许多病理过程都至关重要。然而，目前缺乏简单而有效的工具来基于细胞轨迹数据分析持久性的系统特性。在这里，我们提出了一种新的方法，即角分布熵，它结合了细胞转向动力学和香农熵来探索与细胞迁移模式密切相关的持久性的统计和时变特性。我们的结果揭示了多种细胞系的持久性变化，这些变化受到细胞内和细胞外信号的严格调控，包括 Arpin 蛋白、胶原凝胶/底物和物理约束。重要的是，还捕捉到了一些以前未报道的持久性的独特细节，有助于阐明定向持久性在不同细胞群体中的分布和演变方式。该分析表明，基于角分布熵的方法提供了评估定向持久性的有力指标，并使我们能够更好地理解细胞行为和多尺度信号之间的关系，这也为细胞群体的迁移动力学提供了一些见解，例如细胞的集体入侵。
