Division of Pediatric Neuro-oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Department of Biology, University of Richmond, Richmond, Virginia, United States of America.
PLoS One. 2020 Dec 18;15(12):e0244219. doi: 10.1371/journal.pone.0244219. eCollection 2020.
Cellular differentiation is a tightly regulated process under the control of intricate signaling and transcription factors interaction network working in coordination. These interactions make the systems dynamic, robust and stable but also difficult to dissect. In the spinal cord, recent work has shown that a network of FGF, WNT and Retinoic Acid (RA) signaling factors regulate neural maturation by directing the activity of a transcription factor network that contains CDX at its core. Here we have used partial and ordinary (Hill) differential equation based models to understand the spatiotemporal dynamics of the FGF/WNT/RA and the CDX/transcription factor networks, alone and in combination. We show that in both networks, the strength of interaction among network partners impacts the dynamics, behavior and output of the system. In the signaling network, interaction strength determine the position and size of discrete regions of cell differentiation and small changes in the strength of the interactions among networking partners can result in a signal overriding, balancing or oscillating with another signal. We also show that the spatiotemporal information generated by the signaling network can be conveyed to the CDX/transcription network to produces a transition zone that separates regions of high cell potency from regions of cell differentiation, in agreement with most in vivo observations. Importantly, one emerging property of the networks is their robustness to extrinsic disturbances, which allows the system to retain or canalize NP cells in developmental trajectories. This analysis provides a model for the interaction conditions underlying spinal cord cell maturation during embryonic axial elongation.
细胞分化是一个受复杂信号和转录因子相互作用网络调控的严格过程,这些相互作用使系统具有动态、稳健和稳定的特性,但也使得系统难以剖析。在脊髓中,最近的研究表明,FGF、WNT 和视黄酸(RA)信号因子网络通过指导包含 CDX 核心的转录因子网络的活性来调节神经成熟。在这里,我们使用偏微分和常微分(Hill)方程模型来单独和组合理解 FGF/WNT/RA 和 CDX/转录因子网络的时空动力学。我们表明,在这两个网络中,网络伙伴之间的相互作用强度会影响系统的动态、行为和输出。在信号网络中,相互作用强度决定细胞分化离散区域的位置和大小,网络伙伴之间相互作用强度的微小变化可能导致信号超越、平衡或与另一个信号振荡。我们还表明,信号网络生成的时空信息可以传递到 CDX/转录网络,产生一个过渡区,将高细胞潜能区域与细胞分化区域分开,这与大多数体内观察结果一致。重要的是,网络的一个新兴特性是其对外部干扰的稳健性,这允许系统在发育轨迹中保留或引导 NP 细胞。该分析为胚胎轴向伸长过程中脊髓细胞成熟的相互作用条件提供了一个模型。