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Longitudinal bulk RNA-seq of murine Il10KO colitis

GSE260595 Mus musculus (mouse) Single-cell RNA-seq 18 samples Submitted 2026/04/28 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Spatiotemporal analysis reveals distinct inflammatory programs underlying chronic colitisImmunity · 2026
Summary (written by the submitters)
In order to describe in detail the processes involved in chronic colitis, we performed bulk RNA-seq at multiple time points in murine Il10KO colitis. These data were compared to scRNAseq and spatial transcriptomics results from the same mice within the same study. Bulk data were analyzed by identifying differentially expressed genes between time points and treatment groups.
Published in
Spatiotemporal analysis reveals distinct inflammatory programs underlying chronic colitis
Fransson J, Sorini C, Castillo F et al. · Immunity 2026 · PMID 42097141 · doi:10.1016/j.immuni.2026.04.005
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 GSE260595_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 PRJNA1082287 and SRA study SRP492598. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Colon, WT W6, ×3 Colon, Il10KO W6, ×3 Colon, Il10KO W8, ×3 Colon, Il10KO W10, ×3 Colon, Il10KO W12, ×3 Colon, Il10KO W14, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.

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.