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ILC2 regulate a fibroblast progenitor niche in the pancreas (Dpp4CreERT2 lineage trace scRNA-seq)

GSE308872 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2026/07/03 Platform GPL34328
At a glance

Single-cell RNA-seq · mouse · 2 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
2 samples
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.
Summary (written by the submitters)
Local fibroblast development and densities greatly influence organ health and disease, although it remains unclear how tissue fibroblast topography is controlled in situ. Here we define group 2 innate lymphoid cells (ILC2) as key regulators of fibroblast homeostasis in the pancreas. ILC2 co-localise with Pi16+Dpp4+Ly6c+ fibroblasts in an interstitial niche of the exocrine pancreas, which encapsulates the organ parenchyma.
Read the full summary ↓
ILC2 specifically regulate the expansion of Pi16+Dpp4+Ly6c+ fibroblasts, which have progenitor capacity, while paradoxically also restraining differentiated intra-parenchymal Col15a1+ fibroblasts during inflammation. These homeostatic circuits reinforce fibroblast numbers after injury and set an inflammatory threshold. The ILC2-Pi16+Dpp4+Ly6c+ fibroblast progenitor niche expands locally in cancer, and controls cancer associated fibroblast ontogeny and density. Hence, ILC2-fibroblast dialogue represents a regulatory node that locally orchestrates tissue homeostasis and pathology.
This dataset
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.

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 GSE308872_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1333300 and SRA study SRP625508. Searching any of these in the dataset finder brings you back here.

Samples in this study

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