Assessing pulmonary response to TNF-α in human precision-cut lung slices using single-cell RNA sequencing 4294

Abstract Description Respiratory infections pose significant health challenges, particularly for high-risk groups. Understanding host responses to respiratory pathogens may open new avenues for therapeutic strategies. Human-relevant models are essential for studying host-targeting therapies that modulate immune responses and enable rapid, adaptable treatments. This study characterizes a human precision cut lung slice (hPCLS) model to investigate early, cell-type-specific inflammatory responses seen during pulmonary infections. hPCLSs were exposed to TNF-α, a pro-inflammatory cytokine induced during infection, and cellular and molecular changes were assessed using single-cell RNA sequencing. The data identified T cells, B cells, NK cells, macrophages, as well as epithelial, fibroblast, and endothelial populations. Notably, following a 24-hour exposure to TNF-α, minimal cell proliferation was observed across these populations. Macrophages exhibited the highest TNF-α receptor expression and upregulation of myeloid migration and chemotaxis genes. TNF-α exposure elevated chemokine expression (CXCL17, CCL2) in endothelial, macrophage, and epithelial cells. Additionally, epithelial cells upregulated apoptosis-related genes, indicating a damage response. These findings highlight the hPCLS model’s ability to capture early, cell-specific lung responses to inflammation, reinforcing its value as a preclinical tool to study host-pathogen interactions and inform future therapeutic strategies. Funding Sources This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. Funding was provided by internal Lawrence Livermore National Laboratory Directed Research and Development funds (24-ERD-025) to N.R.H. LLNL-ABS-2001042. Topic Categories Cellular Adhesion, Migration, and Inflammation (CAM)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1994
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing pulmonary response to TNF-α in human precision-cut lung slices using single-cell RNA sequencing 4294

Nicole F. Leon, Nicholas R. Hum, Aimy Sebastian, Oscar A. Davalos et al.
The Journal of Immunology
Single-cell and spatial transcriptomics
article

Assessing pulmonary response to TNF-α in human precision-cut lung slices using single-cell RNA sequencing 4294

Nicole F. Leon, Nicholas R. Hum, Aimy Sebastian, Oscar A. Davalos, Luan C. Nguyen, Dina R. Weilhammer
article en

Abstract

Abstract Description Respiratory infections pose significant health challenges, particularly for high-risk groups. Understanding host responses to respiratory pathogens may open new avenues for therapeutic strategies. Human-relevant models are essential for studying host-targeting therapies that modulate immune responses and enable rapid, adaptable treatments. This study characterizes a human precision cut lung slice (hPCLS) model to investigate early, cell-type-specific inflammatory responses seen during pulmonary infections. hPCLSs were exposed to TNF-α, a pro-inflammatory cytokine induced during infection, and cellular and molecular changes were assessed using single-cell RNA sequencing. The data identified T cells, B cells, NK cells, macrophages, as well as epithelial, fibroblast, and endothelial populations. Notably, following a 24-hour exposure to TNF-α, minimal cell proliferation was observed across these populations. Macrophages exhibited the highest TNF-α receptor expression and upregulation of myeloid migration and chemotaxis genes. TNF-α exposure elevated chemokine expression (CXCL17, CCL2) in endothelial, macrophage, and epithelial cells. Additionally, epithelial cells upregulated apoptosis-related genes, indicating a damage response. These findings highlight the hPCLS model’s ability to capture early, cell-specific lung responses to inflammation, reinforcing its value as a preclinical tool to study host-pathogen interactions and inform future therapeutic strategies. Funding Sources This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. Funding was provided by internal Lawrence Livermore National Laboratory Directed Research and Development funds (24-ERD-025) to N.R.H. LLNL-ABS-2001042. Topic Categories Cellular Adhesion, Migration, and Inflammation (CAM)

The Journal of ImmunologyVol. 214(Supplement_1)
Lawrence Livermore National Laboratory (US)
Openalex Percentile: Top 68%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.