Ultra-high-scale cytometry-based cellular interaction mapping

Area of Science:

• Immunology
• Systems Biology
• Biomedical Science

Background:

• Cellular interactions are crucial for development, tissue homeostasis, and immunity.
• Existing single-cell genomic methods for studying cell interactions have limitations in throughput, cost, and cell type specificity.

Purpose of the Study:

• To introduce Interact-omics, a cytometry-based framework for mapping cellular landscapes and interactions.
• To enable ultra-high resolution and large-scale analysis of all immune cell types and their interactions.

Main Methods:

• Development of a cytometry-based framework named Interact-omics.
• Application of the framework to analyze cellular interactions in immunotherapy and infection models.

Main Results:

• Accurate mapping of cellular landscapes and interactions across all immune cell types at ultra-high resolution and scale.
• Demonstration of utility in studying immunotherapy kinetics, mode of action, and personalized response prediction.
• Analysis of organism-wide cellular composition and interaction dynamics following in vivo infection.

Conclusions:

• Interact-omics offers a scalable solution for mapping cellular interactions.
• The framework can be applied to existing or new cytometry datasets.
• Broad applications in fundamental biology and applied biomedicine, including immunotherapy and infection research.