Decoding Immune Regulation: From Genetic Variation to Mechanism Through Single-Cell Genomics

Area of Science:

• Immunology
• Genomics
• Systems Biology

Background:

• Immune cell states are plastic, not fixed, and arise from complex gene regulatory networks (GRNs).
• Cell-to-cell transcriptional variability is a key functional feature diversifying immune responses.
• Single-cell and multi-omic technologies allow detailed immune profiling.

Purpose of the Study:

• To analyze immune cell transcriptional variability using advanced analytical frameworks.
• To integrate human genetics with single-cell genomics to understand genetic influences on immune cell states.
• To validate gene regulatory networks and link genetic variation to cellular function.

Main Methods:

• Distribution-aware and tensor-based analytical frameworks for analyzing single-cell multi-omic data.
• Integration of human genetics with single-cell genomics.
• High-throughput perturbation screens for functional validation of gene regulatory networks.
• Emerging spatial multi-omics and in situ perturbation screens.

Main Results:

• Cell-to-cell transcriptional variability is a functional aspect of immune responses.
• Genetic effects on gene expression, splicing, and chromatin accessibility are cell-type and state-dependent.
• Genetic variant signals converge on GRNs, with transcription factors orchestrating immune programs.
• Integrative approaches link genetic variation to cellular function and disease mechanisms.

Conclusions:

• Dynamic transcriptional programs shape immune cell states, influenced by genetics and cellular context.
• Advanced analytical and experimental approaches enable a deeper understanding of immune cell regulation.
• These findings pave the way for clinical applications, including patient stratification and therapeutic target discovery.