In their native environment, cells are immersed in a complex milieu of biochemical and biophysical cues. These cues may include growth factors, the extracellular matrix, cell-cell contacts, stiffness, and topography, and they are responsible for regulating cellular behaviors such as adhesion, proliferation, migration, apoptosis, and differentiation. The decision-making process used to convert these extracellular inputs into actions is highly complex and sensitive to changes both in the type of individual cue (e.g., growth factor dose/level, timing) and in how these individual cues are combined (e.g., homotypic/heterotypic combinations). In this review, we highlight recent advances in the development of engineering-based approaches to study the cellular decision-making process. Specifically, we discuss the use of biomaterial platforms that enable controlled and tailored delivery of individual and combined cues, as well as the application of computational modeling to analyses of the complex cellular decision-making networks.

中文翻译：

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研究细胞决策的工程方法。

在其自然环境中，细胞沉浸在生化和生物物理线索的复杂环境中。这些提示可能包括生长因子，细胞外基质，细胞间接触，刚度和形貌，它们负责调节细胞行为，如粘附，增殖，迁移，凋亡和分化。用于将这些细胞外输入转化为作用的决策过程非常复杂，并且对单个提示的类型（例如，生长因子剂量/水平，时间）以及这些单个提示的组合方式（例如，同型）的变化都非常敏感。 /异型组合）。在这篇综述中，我们重点介绍了基于工程的方法研究细胞决策过程的最新进展。具体来说，