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Mechanotransduction unifies healthy non-diabetic wound healing over time by promoting a Cd14+/C1qa+ fibroblast subpopulation

GSE326622 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2026/04/03 Platform GPL21103
At a glance

Single-cell RNA-seq · mouse · 12 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
Mus musculus (mouse)
Samples
12 samples: 4 × GDB_POD vs 4 × PDB_POD vs 4 × NDB_PODGroups 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.
Summary (written by the submitters)
Diabetes is a major growing public health concern, but the impact on cellular impairments in chronic wounds remains incompletely understood. Fibroblasts, key players in all phases of wound healing, are particularly responsive to mechanotransduction. Here, we characterize fibroblast heterogeneity in genetically induced and pathophysiological diabetic murine wounding models across all wound healing phases.
Read the full summary ↓
Full-thickness excisional wounds were created on the dorsum of C57BL/6 non-diabetic wild-type (WT) mice (N-DB), WT-mice fed a high-fat diet to create pathophysiologic diabetes (P-DB), and leptin-receptor-deficient mice, a genetically induced diabetic model (G-DB). Tissue was submitted for single-cell RNA sequencing at postoperative days (PODs) 0, 2, 7 and 30. Both G-DB and P-DB significantly impaired wound healing compared to N-DB. N-DB expressed distinct myeloid-like Cd14+/C1qa+ angiogenic fibroblasts at PODs 2, and 7. Mechanotransduction pathways FAK and MAPK were consistently upregulated in N-DB fibroblasts and depleted in both diabetic models. G-DB upregulated WNT-activated Dpp4+ fibrotic fibroblasts at POD7 compared to N-DB. Thus, mechanotransduction pathways are present in physiologically healing fibroblasts and are selectively depleted in both pathophysiologic and genetically induced diabetes. In genetically induced diabetes, overactivation of canonical and non-canonical WNT pathways overwhelms cells and impairs healing processes. Transcriptomic insights into these mechanotransducive perturbations may lead to new therapies for diabetic wound repair.
This dataset
Open GSE326622 in finder → Find more mouse 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 GSE326622_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: 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 PRJNA1446331 and SRA study SRP688423. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × GDB_POD vs 4 × PDB_POD vs 4 × NDB_POD

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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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