LOSS OF MFAP5 AND ITS EFFECT ON SKIN HOMEOSTASIS AND WOUND HEALING
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
Read the full summary ↓
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.
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.
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).
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.
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.
- GSM8991927 WTD0-1 WTD0
- GSM8991928 WTD0-2 WTD0
- GSM8991929 KOD0-1 KOD0
- GSM8991930 KOD0-2 KOD0
- GSM8991931 WTD3-1 WTD3
- GSM8991932 WTD3-2 WTD3
- GSM8991933 KOD3-1 KOD3
- GSM8991934 KOD3-2 KOD3
- GSM8991935 WTD7-1 WTD7
- GSM8991936 WTD7-2 WTD7
- GSM8991937 KOD7-1 KOD7
- GSM8991938 KOD7-2 KOD7
- GSE255837 Dysregulation of the Normal Wound Healing Cascade in Volumetric Muscle Loss Injury 30 samples shares healing, wound, loss
- GSE278527 Clearance of p21-highly-expressing senescent cells accelerates cutaneous wound healing 36 samples shares healing, wound
- GSE273056 Skin wounds in mice of different number of days the transcriptome sequencing 28 samples shares wound, skin
- GSE210798 Splenic CD169+Tim4+ Marginal Zone Metallophilic Macrophages Are Essential for Wound Healing and Resolution of Inflammation After Myocardial Infarction 24 samples shares healing, wound
- GSE267091 Ageing-induced cell type-specific transcriptomic changes in the skin are associated with abnormal early healing responses to injury 23 samples shares healing, skin
- GSE281205 Clonally expanded targetable natural killer-like T cells seed the aged spinal cord to disrupt wound healing [scRNA-seq] 18 samples shares healing, wound
- GSE326622 Mechanotransduction unifies healthy non-diabetic wound healing over time by promoting a Cd14+/C1qa+ fibroblast subpopulation 12 samples shares healing, wound
- GSE274513 Smad7-based biologic targeting epidermis and stroma promotes healing of diabetic wounds in mice and pigs 12 samples shares healing, wound
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.