Multi-omic analysis reveals retinoic acid molecular drivers for fibrosis and regenerative repair in skin fibrosis
Single-cell RNA-seq · mouse · 11 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
- 11 samples: 3 × Unwounded vs 3 × Day 28 vs 3 × Day 12 Treatment vs 2 × DayGroups 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
- Multi-omic analysis reveals retinoic acid molecular drivers for dermal fibrosis and regenerative repair in the skinCell stem cell · 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 GSE277998_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 PRJNA1165197 and SRA study SRP534698. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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.
- GSM8536931 Unwounded 1 Unwounded
- GSM8536932 Unwounded 2 Unwounded
- GSM8536933 Unwounded 3 Unwounded
- GSM8536934 Day 12 Day
- GSM8536935 Day 21 Day
- GSM8536936 Day 28_1 Day 28
- GSM8536937 Day 28_2 Day 28
- GSM8536938 Day 28_3 Day 28
- GSM8536939 Day 12 Treatment_1 Day 12 Treatment
- GSM8536940 Day 12 Treatment_2 Day 12 Treatment
- GSM8536941 Day 12 Treatment_3 Day 12 Treatment
- GSE280003 Gpnmb and Spp1 mark a conserved macrophage injury response masking fibrosis-specific programming in the lung 81 samples shares fibrosis, skin
- GSE295426 Targeting branched-chain amino acids alleviates pulmonary fibrosis [RNA-seq] 54 samples shares fibrosis, acid
- GSE307419 Pulmonary fibroblast subsets demonstrate differentially enriched signaling pathways during fibrosis resolution and repair 26 samples shares fibrosis, repair
- GSE287839 Gas6-Axl signaling drives oral regenerative wound repair [bulk RNA] 23 samples shares regenerative, repair
- GSE284043 RNAseq for peritoneal macrophages phagocytosing E.coli in the absence or presence of retinoic acid 16 samples shares retinoic, acid
- GSE328634 Asiatic acid from Centella asiatica alleviates renal fibrosis: coordinated modulation of the gut–kidney axis and retinol metabolism 15 samples shares fibrosis, acid
- GSE320177 All -trans retinoic acid suppresses CD8+ T cell terminal exhaustion which enhances anti–PD-1 efficacy against glioblastoma [RNA-Seq] 12 samples shares retinoic, acid
- GSE255181 Egr1 is a master regulator of regenerative senescence and cardiac repair 12 samples shares regenerative, repair
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.