Defining the role of fibroblasts in skin expansion
RNA-seq (gene expression) · human · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 4 × LQ vs 4 × SQ vs 2 × ker on SQ# vs 2 × ker on LQ#Groups 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
- A stretch-responsive fibroblast program promotes epidermal stem cell self-renewal during skin expansionNature communications · 2026
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 GSE324558_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1435788 and SRA study SRP682849. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 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.
- GSM9579514 LQ-1 LQ
- GSM9579515 LQ-2 LQ
- GSM9579516 LQ-3 LQ
- GSM9579517 LQ-4 LQ
- GSM9579518 SQ-1 SQ
- GSM9579519 SQ-2 SQ
- GSM9579520 SQ-3 SQ
- GSM9579521 SQ-4 SQ
- GSM9581853 ker on SQ#1 ker on SQ#
- GSM9581854 ker on LQ#1 ker on LQ#
- GSM9581855 ker on SQ#2 ker on SQ#
- GSM9581856 ker on LQ#2 ker on LQ#
- GSE204762 Multi-modal skin atlas associates a multicellular immune-stromal community with altered cornification and T cell expansion in atopic dermatitis [scRNA-seq] 43 samples shares expansion, skin
- GSE311920 Fibroblasts resist Staphylococcus aureus on the skin surface by responding to interleukin-1 and recruiting neutrophils 16 samples shares fibroblasts, skin
- GSE204765 Multi-modal skin atlas associates a multicellular immune-stromal community with altered cornification and T cell expansion in atopic dermatitis. 46 samples shares expansion, skin
- GSE150672 Highly Efficient, Massively-Parallel Single-Cell RNA-Seq Reveals Cellular States and Molecular Features of Human Skin Pathology 438 samples shares skin
- GSE285826 SenCat: Redefining human cell senescence 232 samples shares defining
- GSE290952 IL22 supports Long-Term Expansion of Mouse and Human Hepatocytes in vitro. 51 samples shares expansion
- GSE164528 Defining the lineage of thermogenic perivascular adipose tissue 42 samples shares defining
- GSE235246 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma impair CD8+ T cell activation and responsiveness to immunotherapy in mice 38 samples shares fibroblasts
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.