Institute of Cell Biology, University of Bern , Bern, Switzerland.
Graduate School for Cellular and Biomedical Sciences, University of Bern , Bern, Switzerland.
J Cell Biol. 2023 Oct 2;222(10). doi: 10.1083/jcb.202207048. Epub 2023 Jul 27.
Increasing experimental evidence points to the physiological importance of space-time correlations in signaling of cell collectives. From wound healing to epithelial homeostasis to morphogenesis, coordinated activation of biomolecules between cells allows the collectives to perform more complex tasks and to better tackle environmental challenges. To capture this information exchange and to advance new theories of emergent phenomena, we created ARCOS, a computational method to detect and quantify collective signaling. We demonstrate ARCOS on cell and organism collectives with space-time correlations on different scales in 2D and 3D. We made a new observation that oncogenic mutations in the MAPK/ERK and PIK3CA/Akt pathways of MCF10A epithelial cells hyperstimulate intercellular ERK activity waves that are largely dependent on matrix metalloproteinase intercellular signaling. ARCOS is open-source and available as R and Python packages. It also includes a plugin for the napari image viewer to interactively quantify collective phenomena without prior programming experience.
越来越多的实验证据表明，时空相关性在细胞群体信号传递中具有重要的生理学意义。从伤口愈合到上皮组织稳态到形态发生，细胞间生物分子的协调激活使群体能够执行更复杂的任务，并更好地应对环境挑战。为了捕捉这种信息交换，并推进新兴现象的新理论，我们创建了 ARCOS，这是一种用于检测和量化群体信号的计算方法。我们在二维和三维空间中具有不同尺度的时空相关性的细胞和生物体群体上展示了 ARCOS。我们有了一个新的观察结果，即在 MCF10A 上皮细胞的 MAPK/ERK 和 PIK3CA/Akt 通路中的致癌突变会过度刺激细胞间 ERK 活性波，而这些波在很大程度上依赖于细胞间基质金属蛋白酶信号。ARCOS 是开源的，并提供 R 和 Python 包。它还包括一个 napari 图像查看器插件，用于在无需事先编程经验的情况下进行群体现象的交互量化。
