Bulk Transcriptome and Single-Cell Sequencing Datasets Reveal Key Programmed Cell Death Patterns in Radiation-Induced

Qiang Wang1,2,3, Chengcheng Xia1,2,3, Lihong Shao1,2,3

  • 1Department of Radiation Oncology & Therapy, The First Hospital of Jilin University, Changchun, China.

Insights

NETosis, a form of programmed cell death involving neutrophils, is key in radiation-induced lung injury. This study reveals enhanced neutrophil-macrophage communication drives this process, offering new therapeutic targets.

Area of Science:

  • Immunology
  • Cell Biology
  • Pulmonary Medicine

Background:

  • Programmed cell death (PCD) is implicated in radiation-induced lung injury (RILI).
  • The specific PCD subtype driving RILI pathogenesis remains largely undefined.
  • Understanding cell-specific PCD is crucial for RILI treatment strategies.

Purpose of the Study:

  • To identify the predominant programmed cell death (PCD) subtype in radiation-induced lung injury (RILI).
  • To elucidate cell type-specific PCD patterns and intercellular communication networks in RILI.
  • To uncover transcription factor (TF) regulatory networks governing RILI pathogenesis.

Main Methods:

  • Integrated bulk and single-cell RNA sequencing data (GSE25295, GSE41789, GSE211713).
  • Identified differentially expressed genes (DEGs) using limma and Seurat.
  • Analyzed PCD subtypes, intercellular communication (CellChat), and TF networks (RcisTarget, AUCell).

Main Results:

  • Bulk analysis identified 465 radiation-responsive genes linked to inflammation and immunity.
  • NETosis, a neutrophil-driven PCD, was significantly enriched in irradiated lung tissue (FDR < 0.05).
  • Neutrophils exhibited high NETosis scores, with enhanced communication with macrophages (AM1/IM1) via SPP1-CD44 and ANXA1-FPR signaling, correlating with M2 polarization.

Conclusions:

  • NETosis is a critical PCD subtype in RILI pathogenesis.
  • Enhanced neutrophil-macrophage crosstalk and TF-driven immune polarization are key mechanisms in RILI.
  • Targeting NETosis and associated signaling pathways presents a potential therapeutic strategy for RILI.