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Updated: Jul 3, 2025
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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
170
Transcriptomic profiling of immune cells in murine polymicrobial sepsis
Atsushi Murao1, Alok Jha1, Monowar Aziz1,2
1Center for Immunology and Inflammation, The Feinstein Institutes for Medical Research, Manhasset, NY, United States.
Frontiers in Immunology
|February 12, 2024
Summary
Single-cell RNA sequencing revealed diverse immune cell responses in sepsis, identifying distinct subsets and activated pathways in neutrophils, macrophages, B cells, and T cells to improve sepsis understanding and treatment.
Area of Science:
- Immunology
- Genomics
- Computational Biology
Background:
- Sepsis involves complex immune responses with diverse cell subsets.
- Single-cell RNA sequencing (scRNA-seq) offers detailed immune cell profiling.
Purpose of the Study:
- To comprehensively analyze the transcriptomic landscape of immune cells during sepsis.
- To identify distinct immune cell subsets and their activated pathways in sepsis.
Main Methods:
- Induced sepsis in mice via cecal ligation and puncture.
- Collected spleen and peritoneal lavage samples for scRNA-seq.
- Analyzed data using 10× Genomics, Illumina sequencing, Cell Ranger, and Seurat.
Main Results:
- Identified four major immune cell types: neutrophils, macrophages, B cells, and T cells.
- Revealed activated pathways including inflammatory signaling, PAMP responses, cell aging, and ER stress.
- Characterized distinct subsets within each cell type, highlighting varied functions like metabolism, immuneregulation, and maturation.
Conclusions:
- scRNA-seq provides a detailed view of immune cell heterogeneity in sepsis.
- Findings offer insights into sepsis pathophysiology and potential therapeutic targets.
