Journal Article

DKFZ-2025-01647

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Ultra-high-scale cytometry-based cellular interaction mapping.

Vonficht, D. (First author)DKFZ* ; Jopp-Saile, L. (First author)DKFZ* ; Yousefian, S. ; Flore, V. ; Simó Vesperinas, I. ; Teuber, R. ; Avanesyan, B. ; Luo, Y. ; Röthemeier, C. ; Grünschläger, F.DKFZ* ; Fernandez-Vaquero, M.DKFZ* ; Fregona, V. ; Ordoñez-Rueda, D. ; Schmalbrock, L. K.DKFZ* ; Deininger, L. ; Yamachui Sitcheu, A. J. ; Gu, Z. ; Funk, M. C. ; Mikut, R. ; Heikenwälder, M.DKFZ* ; Eggert, A.DKFZ* ; von Stackelberg, A. ; Kobold, S.DKFZ* ; Krönke, J.DKFZ* ; Keller, U.DKFZ* ; Trumpp, A.DKFZ* ; Hegazy, A. N. ; Eckert, C. ; Hübschmann, D.DKFZ* ; Haas, S. (Last author)DKFZ*

2025
Nature Publishing Group London [u.a.]

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Please use a persistent id in citations: doi:10.1038/s41592-025-02744-w

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.

Note: #EA:A010#LA:A010# / 2025 Sep;22(9):1887-1899

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Contributing Institute(s):

1. A010 Stammzellen und Krebs (A010)
2. Chronische Entzündung und Krebs (D440)
3. DKTK Koordinierungsstelle Berlin (BE01)
4. DKTK Koordinierungsstelle München (MU01)
5. DKTK HD zentral (HD01)
6. Innovations- und Service-Unit für Bioinformatik und Präzisionsmedizin (W015)

Research Program(s):

1. 311 - Zellbiologie und Tumorbiologie (POF4-311) (POF4-311)

Appears in the scientific report 2025

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DEAL Nature ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 40 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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