近日，Simon Haas及其研究小组揭示了基于超高尺度细胞计数的细胞相互作用制图。相关论文于2025年8月7日发表于国际顶尖学术期刊《自然—方法学》杂志上。

在这里，该研究团队介绍了相互作用组学，这是一种基于细胞计量的框架，以超高分辨率和规模准确地绘制所有免疫细胞类型的细胞景观和细胞相互作用。研究组展示了他们的方法在研究动力学、作用模式和免疫疗法的个性化反应预测以及体内感染后细胞组成和细胞相互作用动力学的全生物体变化方面的实用性。其可扩展的框架可以应用于现有的细胞计数数据集或纳入新设计的基于细胞计数的研究，以绘制从基础生物学到应用生物医学的广泛应用的细胞相互作用。

据了解，细胞间的相互作用是至关重要的，协调着生物体的发育、组织的稳态和免疫。近年来，单细胞基因组技术在解剖物理相互作用细胞方面的研究得到了发展。然而，这些方法的特点是蜂窝吞吐量低，处理时间长，成本高，并且通常限于预定义的蜂窝类型。

附：英文原文

Title: Ultra-high-scale cytometry-based cellular interaction mapping

Author: Vonficht, Dominik, Jopp-Saile, Lea, Yousefian, Schayan, Flore, Viktoria, Sim Vesperinas, Ins, Teuber, Ruth, Avanesyan, Bogdan, Luo, Yanjiang, Rthemeier, Caroline, Grnschlger, Florian, Fernandez-Vaquero, Mirian, Fregona, Vincent, Ordoez-Rueda, Diana, Schmalbrock, Laura K., Deininger, Luca, Yamachui Sitcheu, Angelo Jovin, Gu, Zuguang, Funk, Maja C., Mikut, Ralf, Heikenwlder, Mathias, Eggert, Angelika, von Stackelberg, Arend, Kobold, Sebastian, Krnke, Jan, Keller, Ulrich, Trumpp, Andreas, Hegazy, Ahmed N., Eckert, Cornelia, Hbschmann, Daniel, Haas, Simon

Issue&Volume: 2025-08-07

Abstract: Cellular interactions are of fundamental importance, orchestrating organismal development, tissue homeostasis and immunity. Recently, powerful methods that use single-cell genomic technologies to dissect physically interacting cells have been developed. However, these approaches are characterized by low cellular throughput, long processing times and high costs and are typically restricted to predefined cell types. Here we introduce Interact-omics, a cytometry-based framework to accurately map cellular landscapes and cellular interactions across all immune cell types at ultra-high resolution and scale. We demonstrate the utility of our approach to study kinetics, mode of action and personalized response prediction of immunotherapies, and organism-wide shifts in cellular composition and cellular interaction dynamics following infection in vivo. Our scalable framework can be applied a posteriori to existing cytometry datasets or incorporated into newly designed cytometry-based studies to map cellular interactions with a broad range of applications from fundamental biology to applied biomedicine.

DOI: 10.1038/s41592-025-02744-w

Source: https://www.nature.com/articles/s41592-025-02744-w