这篇文章介绍了 拓扑速度推断（TopoVelo） 模型，这是一种旨在从空间转录组数据中共同推断细胞命运转变的 空间和时间动态 的计算方法。TopoVelo 通过使用 空间耦合微分方程 扩展了 RNA 速度框架，将整个组织中的细胞关系建模为一个 图，并利用 图神经网络 捕获相邻细胞之间的相互影响。该模型能够推断 细胞速度（即细胞在物理空间中随时间推移的移动和分化方向和速率），并在发育中的小鼠大脑皮层、神经管闭合和小鼠/人类胚胎类器官等多个生物系统中进行了验证，结果显示它优于不考虑空间信息的现有方法。最终，TopoVelo 有助于深入理解细胞命运转变如何受到其 微环境 的影响，并为建模整个组织的集体细胞动力学奠定了基础。References: Gu Y, Liu J, Lee K H, et al. Topological velocity inference from spatial transcriptomic data[J]. Nature Biotechnology, 2025: 1-12.
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