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Type II IL-4 receptor complex drives mesenchymal fibroblast activation in keloids via STAT6 signaling

GSE325137 Homo sapiens (human) Single-cell RNA-seq 13 samples Submitted 2026/10/01 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 13 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
13 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Keloids result from aberrant wound healing characterized by excessive collagen and mesenchymal-related protein production. The type II IL-4 receptor complex, composed of IL-4Rα and IL-13Rα1, is implicated in keloid pathogenesis but remains underexplored. To address this, we applied single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to healthy normal skin, adjacent normal skin, active keloids, and regressed keloids.
Read the full summary ↓
Integrated scRNA-seq and ST analyses identified IL4R+/IL13RA1+/POSTN+ fibroblasts with combined reticular and mesenchymal phenotypes that were enriched in fibrotic regions of keloids. Immunofluorescence studies confirmed co-localization of IL4R, IL13RA1, and POSTN proteins in keloid tissue. Elevated mRNA levels of IL4R, IL13RA1, COL1A1, FN1, and POSTN were found in both keloid tissue and fibroblasts compared to normal skin. Furthermore, silencing IL13RA1 or IL4R using siRNA in keloid fibroblasts (KFs) resulted in reduced expression of COL1A1, FN1, and POSTN. Lastly, inhibiting type II receptor signaling with dupilumab, an anti-IL4R monoclonal antibody, suppressed IL-13-induced COL1A1, FN1, and POSTN protein expression in KF and collagen deposition in keloid explants. In conclusion, our in vitro and ex vivo findings suggest that inhibition of type II IL-4 receptor signaling with dupilumab may reduce mesenchymal protein expression and collagen deposition, warranting further investigation of this pathway in keloid disease.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE325137_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1438695. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

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