解码由动态细胞-细胞通信驱动的细胞状态转换在空间转录学中
Lulu Yan1, Dongyan Zhang1, Xiaoqiang Sun2,3
1School of Mathematics, Sun Yat-sen University, Guangzhou, China.
Nature computational science
|January 6, 2026
概括
我们开发了CCCvelo,这是一种新的方法,用于绘制由细胞间通信驱动的细胞命运过渡. 这种方法重建了时空动态,揭示了沟通如何协调发展和疾病.
科学领域:
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 发育生物学 发展生物学
背景情况:
- 细胞命运的确定依赖于复杂的细胞内和细胞间信号传递.
- 空间转录学 (ST) 提供了对这些过程的见解,但通过细胞-细胞通信 (CCC) 驱动的细胞状态转换 (CST) 的建模具有挑战性.
研究的目的:
- 引入CCCvelo,这是一个用于重建CCC驱动的CST动态的新型计算框架.
- 整合细胞间信号梯度和细胞内转录因子级联以建模基因表达动态.
主要方法:
- 开发了CCCvelo,一个统一的多尺度非线性运动模型.
- 设计了PINN-CELL,这是一个基于物理的神经网络共进化的学习算法,用于参数优化和伪时空排序.
- 将CCCvelo应用于来自小鼠皮质,胚胎发育和人类前列腺癌的高分辨率ST数据集.
主要成果:
- CCCvelo成功地重建了已知的形态遗传轨迹.
- 该方法揭示了在CST进展过程中动态CCC信号重新布线.
- 证明了推断由CCC控制的细胞状态转换的时空动态的能力.
结论:
- CCCvelo为了解CCC驱动的细胞命运决定提供了一个强大的工具.
- 该框架推进了用于发展和疾病研究的空间转录组学数据的分析.
- 强调了动态信号网络重新布线在编排细胞状态转换中的重要性.
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