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Creeping fat-derived mechanosensitive fibroblasts drive intestinal fibrosis in Crohn’s disease strictures [Human scRNA-seq]

GSE275145 Homo sapiens (human) Single-cell RNA-seq 29 samples Submitted 2025/08/23 Platform GPL20301
At a glance

Single-cell RNA-seq · human · 29 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
29 samples: 29 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
Creeping fat-derived mechanosensitive fibroblasts drive intestinal fibrosis in Crohn's disease stricturesCell · 2025
Summary (written by the submitters)
A significant complication of Crohn’s disease (CD) is intestinal fibrosis, which narrows the bowel lumen to cause a stricture. Creeping fat (CF) is the wrapping of mesenteric adipose tissue (MAT) around inflamed and fibrotic bowel, but its role in stricture progression in CD is unclear. In this study, we explore whether CF-derived fibroblasts, the cells primarily responsible for extracellular matrix (ECM) deposition, directly contribute to stricture progression.
Read the full summary ↓
By performing scRNA-seq and Visium on pediatric CD strictures, we identified a CF-associated, mechanosensitive, CTHRC1+ fibroblast enriched for YAP/TAZ signaling that localized to the fibrotic CF-bowel wall interface within the stricture. We developed a novel mouse model of intestinal fibrosis that exhibited CF and used lineage tracing to show that Postn+ mouse fibroblasts, analogous to human CTHRC1+ fibroblasts, infiltrate fibrotic bowel and deposit ECM in a YAP/TAZ-dependent manner through scRNA-seq. Our findings identify mesenteric fat as a key source of pro-fibrotic fibroblasts that can be therapeutically targeted to limit intestinal fibrosis.
Published in
Creeping fat-derived mechanosensitive fibroblasts drive intestinal fibrosis in Crohn's disease strictures
Bauer-Rowe KE, Pham B, Griffin M et al. · Cell 2025 · PMID 40967215 · doi:10.1016/j.cell.2025.08.029
This dataset
Open GSE275145 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE275145_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1149688. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40967215) ↗
Study design
29 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 29 sample titles: 29 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.

Samples in this study
Datasets on a similar topic

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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.