ArticleNature methods2025
Ultra-high-scale cytometry-based cellular interaction mapping.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Functional immune profiling translates T cell dynamics into predictive biomarkers for myeloma immunotherapy.Leukemia · 2026Article
- Decoding Immune Cell Doublets in Humans: From Artifacts to Insights.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2026Review
- Oncogene inactivation-induced senescence facilitates tumor relapse.Nature communications · 2026Article
- Generalizable self-supervised learning for imaging flow cytometry on multi-dataset leukocyte differential.Microsystems & nanoengineering · 2026Article
- Aberrant SUMOylation Restricts the Targetable Cancer Immunopeptidome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Review
- Ultra-high-scale cytometry-based cellular interaction mapping.Nature methods · 2025Article
- Compartment-Specific NK Cell Phenotypes Reveal Distinct Maturation and Activation States in Inflammatory Arthritis.Journal of innate immunity · 2025Article
Corrections and comments
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Authors and funding
30 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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