该文章介绍了一种计算框架，用于对空间机械转录组学数据进行联合统计分析，旨在探索生物分子信号与机械线索在组织中的相互作用。研究人员利用该框架对发育中的小鼠胚胎空间转录组学数据进行分析，推断出细胞间的机械力，并将其与基因表达特征联系起来，从而识别出组织隔室边界的标志。具体来说，他们应用变分应力推断法（VMSI）来量化细胞压力和张力，发现组织边界处异型连接张力升高，并利用配体-受体（LR）分析表明Ephrin信号通路可能是这种高张力的分子决定因素。此外，该研究还使用了地理附加结构方程模型（gSEM）来识别与细胞机械状态相关的基因模块，揭示了机械力与基因表达之间存在的非线性关联。References: Hallou A, He R, Simons B D, et al. A computational pipeline for spatial mechano-transcriptomics[J]. Nature methods, 2025: 1-14.
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