细胞极化模式的平衡反应-扩散网络,具有稳定性和不对称性
Yixuan Chen1,2,3, Guoye Guan1,4,5, Lei-Han Tang1,5
1South Bay Interdisciplinary Science Center, Songshan Lake Materials Laboratory, Dongguan, China.
eLife
|July 22, 2025
概括
细胞极化对于细胞分裂和分化至关重要,可以通过某些网络修改来破坏稳定. 然而,将相反的效果或调参数与空间线索相结合,可以恢复和稳定两极分化的模式.
科学领域:
- 细胞生物学 细胞生物学
- 系统生物学 系统生物学
- 生物物理学的生物物理.
背景情况:
- 细胞极化是细胞分裂和分化在原生细胞和真核细胞的基础.
- 现有的反应-扩散网络解释了细胞两极分化,但操纵模式稳定性和不对称性尚未完全理解,尤其是在不完整的网络知识的情况下.
研究的目的:
- 研究对抗性反应-扩散网络的修改如何影响细胞极化模式.
- 探索恢复和稳定细胞系统中极化模式的方法.
- 开发一种用于模拟和分析基因调节网络的计算工具.
主要方法:
- 在各种监管条件和参数变化下,对一个双节点对抗性网络的数值模拟.
- 一个5节点网络的重建和模拟,灵感来自于*Caenorhabditis elegans*细胞极性.
- 开发一个用户友好的软件,PolarSim,用于网络探索.
主要成果:
- 单面的自我调节,额外的调节,或不平等的参数使双节点网络中的极化模式不稳定,导致同质状态.
- 结合对立的修改可以恢复极性,空间不均的参数稳定域界面.
- 一个重建的5个节点网络显示,参数调整,特别是空间线索,可以稳定极化模式.
结论:
- 了解网络组件相互作用是控制细胞两极分化的关键.
- 像PolarSim这样的计算建模和模拟工具对于探索复杂的生物系统非常有价值.
- 该研究提供了关于稳定细胞极性的见解,与发育生物学和疾病研究相关.
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