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细胞迁移的大分子尺度因果网络中的可塑性。

Plasticity in the macromolecular-scale causal networks of cell migration.

作者信息

Lock John G, Mamaghani Mehrdad Jafari, Shafqat-Abbasi Hamdah, Gong Xiaowei, Tyrcha Joanna, Strömblad Staffan

机构信息

Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.

Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden ; Division of Mathematical Statistics, Department of Mathematics, Stockholm University, Stockholm, Sweden.

出版信息

PLoS One. 2014 Feb 28;9(2):e90593. doi: 10.1371/journal.pone.0090593. eCollection 2014.

Abstract

Heterogeneous and dynamic single cell migration behaviours arise from a complex multi-scale signalling network comprising both molecular components and macromolecular modules, among which cell-matrix adhesions and F-actin directly mediate migration. To date, the global wiring architecture characterizing this network remains poorly defined. It is also unclear whether such a wiring pattern may be stable and generalizable to different conditions, or plastic and context dependent. Here, synchronous imaging-based quantification of migration system organization, represented by 87 morphological and dynamic macromolecular module features, and migration system behaviour, i.e., migration speed, facilitated Granger causality analysis. We thereby leveraged natural cellular heterogeneity to begin mapping the directionally specific causal wiring between organizational and behavioural features of the cell migration system. This represents an important advance on commonly used correlative analyses that do not resolve causal directionality. We identified organizational features such as adhesion stability and adhesion F-actin content that, as anticipated, causally influenced cell migration speed. Strikingly, we also found that cell speed can exert causal influence over organizational features, including cell shape and adhesion complex location, thus revealing causality in directions contradictory to previous expectations. Importantly, by comparing unperturbed and signalling-modulated cells, we provide proof-of-principle that causal interaction patterns are in fact plastic and context dependent, rather than stable and generalizable.

摘要

异质性和动态的单细胞迁移行为源自一个复杂的多尺度信号网络,该网络包含分子成分和大分子模块,其中细胞与基质的黏附以及F-肌动蛋白直接介导迁移。迄今为止,表征该网络的全局布线架构仍不清楚。同样不清楚的是,这样的布线模式是稳定且可推广到不同条件,还是具有可塑性且依赖于上下文。在这里,基于同步成像对迁移系统组织进行量化(以87个形态学和动态大分子模块特征表示)以及对迁移系统行为(即迁移速度)进行量化,促进了格兰杰因果关系分析。我们借此利用天然细胞异质性开始绘制细胞迁移系统组织特征与行为特征之间方向特异性的因果布线图。这代表了相对于常用的无法解析因果方向性的相关性分析的重要进展。我们确定了诸如黏附稳定性和黏附F-肌动蛋白含量等组织特征,正如预期的那样,这些特征因果性地影响细胞迁移速度。令人惊讶的是,我们还发现细胞速度可对包括细胞形状和黏附复合体位置在内的组织特征施加因果影响,从而揭示了与先前预期相反方向的因果关系。重要的是,通过比较未受干扰的细胞和信号调制的细胞,我们提供了原理证明,即因果相互作用模式实际上是具有可塑性且依赖于上下文的,而非稳定且可推广的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c6d/3938764/ad5b60636b07/pone.0090593.g001.jpg

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