以色列魏茨曼科学研究所Uri Alon小组的一项最新研究揭示空间快照的时间组织动力学。相关论文于2026年1月21日发表于国际顶尖学术期刊《自然》杂志上。

在这里，小组提出了一次组织动力学重建（OSDR），一种基于单个组织样本估计细胞群动态模型的方法。OSDR以空间蛋白质组学为主题，了解细胞邻域的组成如何影响分裂率，提供细胞种群随时间变化的动态模型。研究组将OSDR应用于人乳腺癌数据，并重建成纤维细胞和巨噬细胞相互作用的两个固定点。这些固定点对应于热纤维和冷纤维，与直接测量这些动态的共培养实验相一致。然后，该团队将OSDR作为主题，在肿瘤微环境中发现T细胞和B细胞产生脉冲的可兴奋回路，这表明抗癌免疫反应的暂时爆发。最后，研究小组研究了一项三阴性乳腺癌临床试验的纵向活组织检查，其中OSDR根据早期治疗活组织检查预测了应答者的肿瘤细胞群的崩溃，而非应答者的肿瘤细胞群的崩溃。OSDR可以应用于广泛的空间蛋白质组学分析，以实现基于患者活检的组织动力学分析。

研究人员表示，炎症和癌症等生理和病理过程是细胞间长期相互作用的结果。然而，由于活组织检查只能提供单一的快照，因此缺乏在人体组织的自然环境中随时间跟踪细胞群的方法。

附：英文原文

Title: Temporal tissue dynamics from a spatial snapshot

Author: Somer, Jonathan, Mannor, Shie, Alon, Uri

Issue&Volume: 2026-01-21

Abstract: Physiological and pathological processes such as inflammation and cancer emerge from interactions between cells over time1. However, methods to follow cell populations over time within the native context of a human tissue are lacking because a biopsy offers only a single snapshot. Here we present one-shot tissue dynamics reconstruction (OSDR), an approach to estimate a dynamical model of cell populations based on a single tissue sample. OSDR uses spatial proteomics to learn how the composition of cellular neighbourhoods influences division rate, providing a dynamical model of cell population change over time. We apply OSDR to human breast cancer data2,3,4, and reconstruct two fixed points of fibroblasts and macrophage interactions5,6. These fixed points correspond to hot and cold fibrosis7, in agreement with co-culture experiments that measured these dynamics directly8. We then use OSDR to discover a pulse-generating excitable circuit of T and B cells in the tumour microenvironment, suggesting temporal flares of anticancer immune responses. Finally, we study longitudinal biopsies from a triple-negative breast cancer clinical trial3, in which OSDR predicts the collapse of the tumour cell population in responders but not in non-responders, based on early-treatment biopsies. OSDR can be applied to a wide range of spatial proteomics assays to enable analysis of tissue dynamics based on patient biopsies.

DOI: 10.1038/s41586-025-09876-1

Source: https://www.nature.com/articles/s41586-025-09876-1