Laboratory Adhesion and Inflammation (LAI), Inserm UMR 1067, Cnrs UMR 7333, Aix-Marseille Université UM 61, 13009 Marseille, France.
Int J Mol Sci. 2023 Jan 23;24(3):2266. doi: 10.3390/ijms24032266.
Cell biologists have long aimed at quantitatively modeling cell function. Recently, the outstanding progress of high-throughput measurement methods and data processing tools has made this a realistic goal. The aim of this paper is twofold: First, to suggest that, while much progress has been done in modeling cell states and transitions, current accounts of environmental cues driving these transitions remain insufficient. There is a need to provide an integrated view of the biochemical, topographical and mechanical information processed by cells to take decisions. It might be rewarding in the near future to try to connect cell environmental cues to physiologically relevant outcomes rather than modeling relationships between these cues and internal signaling networks. The second aim of this paper is to review exogenous signals that are sensed by living cells and significantly influence fate decisions. Indeed, in addition to the composition of the surrounding medium, cells are highly sensitive to the properties of neighboring surfaces, including the spatial organization of anchored molecules and substrate mechanical and topographical properties. These properties should thus be included in models of cell behavior. It is also suggested that attempts at cell modeling could strongly benefit from two research lines: (i) trying to decipher the way cells encode the information they retrieve from environment analysis, and (ii) developing more standardized means of assessing the quality of proposed models, as was done in other research domains such as protein structure prediction.
细胞生物学家一直致力于对细胞功能进行定量建模。最近,高通量测量方法和数据处理工具的杰出进展使得这一目标成为现实。本文的目的有二:首先,尽管在建模细胞状态和转变方面已经取得了很大进展,但目前关于驱动这些转变的环境线索的解释仍然不够充分。有必要提供一个综合的观点,即细胞处理的生化、拓扑和机械信息,以便做出决策。在不久的将来,尝试将细胞环境线索与生理相关的结果联系起来,而不是对这些线索与内部信号网络之间的关系进行建模,可能会有回报。本文的第二个目的是回顾被活细胞感知并显著影响命运决定的外源性信号。事实上,除了周围介质的组成外,细胞还对相邻表面的特性高度敏感,包括锚定分子的空间组织以及基质的机械和拓扑特性。因此,这些特性应该包含在细胞行为模型中。本文还提出,细胞建模的尝试可以从两个研究方向中受益:(i)尝试解码细胞从环境分析中获取信息的方式,(ii)开发更标准化的方法来评估所提出模型的质量,就像在其他研究领域(如蛋白质结构预测)中所做的那样。