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PIEZO2 mechanoreceptor-expressing fibroblasts in keloids cause short-term recurrence after surgical resection

GSE274709 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2025/06/20 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 30 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
30 samples: 10 × scRNA_ml vs 10 × scRNA_sl vs 10 × scRNAs KeloidGroups are read from the sample names, not from the paper. Check the list below.
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.
Paper
Increased expression of the PIEZO2 mechanoreceptor in fibroblasts and endothelial cells within the lymphatic and vascular vessels of keloidsThe Journal of pathology · 2025
Summary (written by the submitters)
Keloids are characterized by persistent scar tissue growth that causes abnormal sensory perceptions due to mechanical stress. But the molecular dysfunction and disease-specific cells that fashion keloid pathophysiology are still not evident. Here, we found a distinct subpopulation of fibroblasts with enhanced expression of PIEZO2 in the dermal layer of keloid patients experiencing dysesthesia, including pain and pressure-tactile itch.
Read the full summary ↓
The PIEZO2-expressing fibroblasts exhibited a keloid-typical phenotype marked by increased extracellular matrix production signaling and higher levels of collagens such as COL1A1, COL1A2, and COL3A1 compared with other fibroblasts. Notably, patients with higher PIEZO2 expression tend to experience keloid recurrence more quickly after keloidectomy (4/5 vs. 0/5, p = 0.047) than those with lower PIEZO2 expression. Thus, the PIEZO2-positive fibroblasts are indicative cells that most accurately reflect the keloid characteristics, suggesting the driving role for the persistent growth of Keloids.
Published in
Increased expression of the PIEZO2 mechanoreceptor in fibroblasts and endothelial cells within the lymphatic and vascular vessels of keloids
Akita S, Ikehara S, Kiuchi M et al. · The Journal of pathology 2025 · PMID 40742741 · doi:10.1002/path.6455
This dataset
Open GSE274709 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE274709_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1147694 and SRA study SRP526078. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40742741) ↗
Study design
10 × scRNA_ml vs 10 × scRNA_sl vs 10 × scRNAs Keloid

Supports a between-group comparison across 30 samples.

How we read this: 3 replicated groups read from 30 sample titles; they account for 30 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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