单细胞形态动力学预测了粘膜上皮质分化过程中的细胞命运决定
Mari Tolonen1,2, Ziwei Xu1,2, Ozgur Beker3,4
1The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), University of Copenhagen, Copenhagen, Denmark.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
随着时间的推移,跟踪细胞形状和位置可以准确地预测细胞在发育表皮质中的命运. 这种形态动力学方法为了解单独的基因表达之外的细胞分化提供了一种新的方法.
科学领域:
- 发展生物学 发展生物学
- 细胞生物学 细胞生物学
- 生物物理学的生物物理.
背景情况:
- 细胞状态转换对于发育至关重要,传统上通过基因表达来研究.
- 在分化过程中细胞形态和行为转变的理解较少,特别是在密集的上皮组织中.
研究的目的:
- 开发一个定量框架来分析细胞在分化过程中的形态动力学.
- 调查时间解析的形态特征是否可以预测Xenopus粘膜上皮质 (MCE) 的最终细胞命运.
主要方法:
- 利用实时成像来追踪数千个在分化MCE中的单个细胞.
- 提取动态特征 (形状,位置,运动) 来创建一个时间解析的形态动力学数据集.
- 应用监督机器学习 (梯度增强树,逻辑回归) 来预测细胞命运.
主要成果:
- 集成的时间解决的形态动力学特征稳定地预测了最终的细胞类型.
- 正常化的Z位置,膜核偏移和时间是关键的预测特征.
- 细胞运动对命运预测准确性的贡献很小.
结论:
- 形态动力学签名包含关于细胞身份的预测信息.
- 这项研究提供了一个框架,将物理细胞动力学与分化过程中的分子状态联系起来.
- 这些发现为复杂的上皮组织中细胞命运决定提供了新的见解.
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