Gas6-Axl signaling drives oral regenerative wound repair [scRNA-seq]
Single-cell RNA-seq · mouse · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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
- Growth arrest specific-6 and angiotoxin receptor-like signaling drive oral regenerative wound repairScience translational medicine · 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 GSE287528_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 PRJNA1213150 and SRA study SRP558569. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 10 sample titles: 10 distinct titles with little repetition. 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.
- GSM8747075 F_POD1 scRNA-seq
- GSM8747076 OM_UW scRNA-seq
- GSM8747077 F_UW scRNA-seq
- GSM8747078 F_POD4 scRNA-seq
- GSM8747079 OM_POD4 scRNA-seq
- GSM8747080 OM_POD2 scRNA-seq
- GSM8747081 F_POD2 scRNA-seq
- GSM8747082 OM_POD1 scRNA-seq
- GSM8747083 F_POD7 scRNA-seq
- GSM8747084 OM_POD7 scRNA-seq
- GSE287839 Gas6-Axl signaling drives oral regenerative wound repair [bulk RNA] 23 samples shares gas6-axl, regenerative, drives, repair, wound, oral
- GSE280373 Spatiotemporal dynamics of the cardioimmune niche during lesion repair [scRNA-seq] 28 samples shares scrna-seq, repair, oral
- GSE290194 Repair-Associated Macrophages Increase after Early-phase Microglia Attenuation to Promote Ischemic Stroke Recovery [scRNA-Seq] 16 samples shares scrna-seq, repair
- GSE295472 NOD2 drives regenerative fetal-like reprogramming in the intestinal epithelium 15 samples shares regenerative, drives
- GSE303460 Spatiotemporal single-cell atlas of suture stem cell dynamics in craniosynostosis [scRNA-Seq] 14 samples shares scrna-seq, oral
- GSE277998 Multi-omic analysis reveals retinoic acid molecular drivers for fibrosis and regenerative repair in skin fibrosis 11 samples shares regenerative, repair
- GSE319694 Myeloid Piezo1 Drives Cardiac Repair Through Orai1–Rac1-Dependent Efferocytosis 10 samples shares drives, repair
- GSE283483 Novel environment exposure drives temporally defined and region-specific chromatin accessibility and gene expression programs in the hippocampus 160 samples shares drives, oral
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.