← BioTransfer GEO Dataset Finder
GEO series

Macrophage-derived IL-1β controls metabolic reprograming in distinct fibroblast progenitors to determine cell fate during wound healing

GSE256125 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2025/09/03 Platform GPL24247
Summary
Compare with facial skin, oral mucosa has a high regenerative capacity and rapid healing efficiency, which has long been recognized as an ideal system of wound resolution. To decipher the underlying molecular mechanisms fostering this optimal healing process, we created a parallel injury model for both the oral and facial skin within the same mice. Utilizing single-cell transcriptomics (scRNA-seq) analysis, we were able to illuminate the diverse cell populations and the intricate cell-to-cell interactions taking place at a single cell level. Leveraging tools such as CytoTRACE, along with cell trajectory and RNA velocity analyses, we pinpointed fibroblast progenitors. Through the employment of GSEA and CellChat analyses, corroborated by flow cytometry and immunofluorescence staining, we demonstrated that IL-1β derived from macrophages augments oxidative phosphorylation in Il1rl1+ progenitors in skin. This points to a rapid response mechanism facilitated by heightened cell-cell interactions through IL-1β signals. We elucidated that the underlying mechanism involves a metabolic reprogramming in oral Il1rl1+ fibroblast progenitors driven by IL-1β/IL1R1, triggering the activation of the NFκB signaling pathway. This shift transitions the metabolic state from glycolysis to oxidative phosphorylation, favoring stem cell differentiation over proliferation and consequently accelerating wound healing in the oral mucosa.
Published in
Macrophage-derived IL-1β directs fibroblast progenitor cell fate via metabolic reprogramming in wound healing
Luo H, Yu X, Sun T et al. · Communications biology 2025 · PMID 40866544 · doi:10.1038/s42003-025-08754-w
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE256125_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1078300 and SRA study SRP490455. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.