Ultra-high-scale cytometry-based cellular interaction mapping
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...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
September 2025
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| In: |
Nature methods
Year: 2025, Volume: 22, Issue: 9, Pages: 1887-1899 |
| ISSN: | 1548-7105 |
| DOI: | 10.1038/s41592-025-02744-w |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41592-025-02744-w Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41592-025-02744-w |
| Author Notes: | Dominik Vonficht, Lea Jopp-Saile, Schayan Yousefian, Viktoria Flore, Inés Simó Vesperinas, Ruth Teuber, Bogdan Avanesyan, Yanjiang Luo, Caroline Röthemeier, Florian Grünschläger, Mirian Fernandez-Vaquero, Vincent Fregona, Diana Ordoñez-Rueda, Laura K. Schmalbrock, Luca Deininger, Angelo Jovin Yamachui Sitcheu, Zuguang Gu, Maja C. Funk, Ralf Mikut, Mathias Heikenwälder, Angelika Eggert, Arend von Stackelberg, Sebastian Kobold, Jan Krönke, Ulrich Keller, Andreas Trumpp, Ahmed N. Hegazy, Cornelia Eckert, Daniel Hübschmann & Simon Haas |
| Summary: | 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. |
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| Item Description: | Veröffentlicht: 07 August 2025 Gesehen am 19.12.2025 |
| Physical Description: | Online Resource |
| ISSN: | 1548-7105 |
| DOI: | 10.1038/s41592-025-02744-w |