Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.
University of Basel, Switzerland.
FEBS J. 2019 Apr;286(8):1495-1513. doi: 10.1111/febs.14694. Epub 2018 Nov 19.
Self-organization is a process by which interacting cells organize and arrange themselves in higher order structures and patterns. To achieve this, cells must have molecular mechanisms to sense their complex local environment and interpret it to respond accordingly. A combination of cell-intrinsic and cell-extrinsic cues are decoded by the single cells dictating their behaviour, their differentiation and symmetry-breaking potential driving development, tissue remodeling and regenerative processes. A unifying property of these self-organized pattern-forming systems is the importance of fluctuations, cell-to-cell variability, or noise. Cell-to-cell variability is an inherent and emergent property of populations of cells that maximize the population performance instead of the individual cell, providing tissues the flexibility to develop and maintain homeostasis in diverse environments. In this review, we will explore the role of self-organization and cell-to-cell variability as fundamental properties of multicellularity-and the requisite of single-cell resolution for its understanding. Moreover, we will analyze how single cells generate emergent multicellular dynamics observed at the tissue level 'travelling' across different scales: spatial, temporal and functional.
自组织是一个相互作用的细胞组织和排列成更高阶结构和模式的过程。为了实现这一点,细胞必须具有分子机制来感知其复杂的局部环境,并对其进行解释以做出相应的反应。细胞内和细胞外线索的组合被单细胞解码,决定了它们的行为、分化和对称破缺潜力,从而驱动着发育、组织重塑和再生过程。这些自组织模式形成系统的一个统一特性是波动、细胞间变异性或噪声的重要性。细胞间变异性是细胞群体的固有和涌现特性,它使群体性能最大化而不是单个细胞,从而为组织提供了在不同环境中发展和维持内稳态的灵活性。在这篇综述中,我们将探讨自组织和细胞间变异性作为多细胞性基本特性的作用,以及理解它所必需的单细胞分辨率。此外,我们将分析单细胞如何在组织水平上产生观察到的突现的多细胞动力学,这种动力学在不同的尺度上“传播”:空间、时间和功能。