在细胞集体中自动检测时空信号模式
Paolo Armando Gagliardi1, Benjamin Grädel1,2, Marc-Antoine Jacques1,2
1Institute of Cell Biology, University of Bern , Bern, Switzerland.
The Journal of cell biology
|July 30, 2023
概括
细胞集体使用时空相关性来完成复杂的任务. 一种新的计算方法,ARCOS,量化了这种集体细胞信号,并揭示了突变如何过度刺激信号波.
科学领域:
- 细胞生物学 细胞生物学
- 计算生物学 计算生物学
- 生物物理学的生物物理.
背景情况:
- 细胞信号中的时空相关性对于诸如伤口愈合和形态发生等生理过程至关重要.
- 协调的细胞间通信使细胞集体能够执行复杂的任务并适应环境挑战.
研究的目的:
- 开发一种计算方法 (ARCOS) 来检测和量化集体细胞信号.
- 在不同尺度和维度的细胞集体中分析时空相关性.
- 为了研究特定的瘤基因突变对细胞间信号传递动态的影响.
主要方法:
- 开发ARCOS,一种用于分析集体细胞信号的计算方法.
- 将ARCOS应用于二维和三维的细胞和生物集体.
- 使用ARCOS与R和Python包,以及用于交互式分析的napari插件.
主要成果:
- ARCOS成功地检测和量化了集体细胞信号中的时空相关性.
- 一个新的观察:MCF10A细胞中MAPK/ERK和PIK3CA/Akt通路中的瘤基因突变过度刺激细胞间ERK活动波.
- 这些高刺激波在很大程度上依赖于矩阵金属蛋白酶介导的细胞间信号传输.
结论:
- ARCOS为研究细胞集体中新出现的现象提供了一个强大的工具.
- 细胞间信号传递动态受到瘤原性突变的深刻影响.
- 矩阵金属蛋白酶在与癌症相关的途径中调解异常信号方面发挥着关键作用.
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