Miotto Mattia, Rosito Maria, Paoluzzi Matteo, de Turris Valeria, Folli Viola, Leonetti Marco, Ruocco Giancarlo, Rosa Alessandro, Gosti Giorgio
Center for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.
Department of Physics, Sapienza University of Rome, Rome, Italy.
Front Cell Dev Biol. 2023 Aug 10;11:1134091. doi: 10.3389/fcell.2023.1134091. eCollection 2023.
Neural rosettes develop from the self-organization of differentiating human pluripotent stem cells. This process mimics the emergence of the embryonic central nervous system primordium, i.e., the neural tube, whose formation is under close investigation as errors during such process result in severe diseases like spina bifida and anencephaly. While neural tube formation is recognized as an example of self-organization, we still do not understand the fundamental mechanisms guiding the process. Here, we discuss the different theoretical frameworks that have been proposed to explain self-organization in morphogenesis. We show that an explanation based exclusively on stem cell differentiation cannot describe the emergence of spatial organization, and an explanation based on patterning models cannot explain how different groups of cells can collectively migrate and produce the mechanical transformations required to generate the neural tube. We conclude that neural rosette development is a relevant experimental 2D model of morphogenesis because it is a multi-scale self-organization process that involves both cell differentiation and tissue development. Ultimately, to understand rosette formation, we first need to fully understand the complex interplay between growth, migration, cytoarchitecture organization, and cell type evolution.
神经玫瑰花结由分化的人类多能干细胞自组织形成。这一过程模拟了胚胎中枢神经系统原基即神经管的出现,由于该过程中的错误会导致脊柱裂和无脑畸形等严重疾病,因此神经管的形成受到密切研究。虽然神经管形成被认为是自组织的一个例子,但我们仍然不了解指导这一过程的基本机制。在这里,我们讨论了为解释形态发生中的自组织而提出的不同理论框架。我们表明,仅基于干细胞分化的解释无法描述空间组织的出现,而基于模式模型的解释无法解释不同细胞群如何集体迁移并产生生成神经管所需的机械转变。我们得出结论,神经玫瑰花结的发育是形态发生的一个相关实验二维模型,因为它是一个多尺度自组织过程,涉及细胞分化和组织发育。最终,为了理解玫瑰花结的形成,我们首先需要充分理解生长、迁移、细胞结构组织和细胞类型进化之间的复杂相互作用。