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LOSS OF MFAP5 AND ITS EFFECT ON SKIN HOMEOSTASIS AND WOUND HEALING

GSE297449 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2025/12/10 Platform GPL24247
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: 6 conditions, mostly in duplicateGroups 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
Loss of MFAP5 and Its Effect on Skin Homeostasis and Wound HealingFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
Summary (written by the submitters)
MFAP5, also known as microfibrillar-associated glycoprotein-2 (MAGP2), may influence parameters of skin wound healing related to scar formation. To further elucidate its role in skin wound healing, we assessed skin wound repair in Mfap5-/- mice. Loss of MFAP5 significantly reduced wound closure rates and angiogenesis while enhancing neutrophil and macrophage influx into wounds.
Read the full summary ↓
Loss of MFAP5 also reduced the deposition of total and mature collagen in uninjured normal skin (NS), but not in wounds. Furthermore, NS dermis of Mfap5-/- mice was thinner without any reduction in tensile strength. Single-cell RNA-sequencing of NS and wounds from Mfap5+/+ and Mfap5-/- mice revealed two fibroblast subclusters that express MFAP5 more highly than other subclusters. Enrichment analysis of the differentially expressed genes (DEGs) in these two subclusters suggests these fibroblasts engage in extracellular matrix (ECM) deposition and angiogenesis. Mfap5+/+ and Mfap5-/- fibroblasts also exhibit transcriptomic differences throughout in vivo wound healing, though as healing progressed, fewer differences were evident. To examine the direct effect of MFAP5 on fibroblasts outside of the wound space, fibroblasts were isolated from Mfap5+/+ and Mfap5-/- mice for in vitro analysis. MRNA-sequencing of Mfap5+/+ and Mfap5-/- fibroblasts found genes involved in cellular migration and proliferation, ECM synthesis, and angiogenesis to be downregulated in Mfap5-/- fibroblasts vs Mfap5+/+ fibroblasts. Functionally, Mfap5-/- fibroblasts exhibited reduced migration, contractility, proliferation, and ECM deposition. Our findings indicate that MFAP5 is a multifunctional glycoprotein in skin wound healing as it promotes angiogenesis and collagen deposition, inhibits inflammatory cell influx, and promotes pro-scarring fibroblast behavior.
Published in
Loss of MFAP5 and Its Effect on Skin Homeostasis and Wound Healing
Han C, Yuan H, Koh TJ et al. · FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2025 · PMID 41348119 · doi:10.1096/fj.202501770R
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 GSE297449_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 PRJNA1263862 and SRA study SRP586004. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
WTD0 ×2 KOD0 ×2 WTD3 ×2 KOD3 ×2 WTD7 ×2 KOD7 ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 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
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