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TH17 cells converted into exTH17 cells sustain rheumatoid-like IL-17–independent inflammatory arthritis

GSE234595 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/09/19 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
Mus musculus (mouse)
Samples
16 samples: 4 × Lymph nodes Th17_Sample vs 4 × Lymph nodes exTh17_Sample vs 4 × Joint Th17_Sample vs 4 × Joint exTh17_SampleGroups 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
T(H)17 cells converted into exT(H)17 cells sustain rheumatoid-like IL-17-independent inflammatory arthritisScience immunology · 2025
Summary (written by the submitters)
T helper 17 (TH17) cells are found in the periphery and synovium of patients with rheumatoid arthritis (RA); however, IL-17–targeted interventions have limited efficacy in established RA. Inflammation can induce TH17 cell transdifferentiation into IL-17–negative exTH17 cells, but the role of exTH17 cells in arthritis is unknown. We performed TH17 cell lineage tracing in the SKG mouse model of RA.
Read the full summary ↓
In arthritic mice, synovial TH17 cells transdifferentiate into CD44+ exTH17 cells, which are more arthritogenic and sustain inflammation that is IL-17 independent. The exTH17 cell gene signature includes up-regulation of CD44 and sphingosine-1-phosphate receptor 4 (S1PR4) and correlates with the profile of human RA synovial CD4+ T cells. We demonstrate that cross-talk between TH17 cells and fibroblast-like synoviocytes (FLSs) via S1P promotes TH17-exTH17 cell conversion. CD44 is necessary for exTH17 cell–mediated arthritis. Our study suggests that FLS expansion during RA progression promotes TH17-exTH17 cell conversion. These results could potentially enable RA precision therapy.
Published in
T(H)17 cells converted into exT(H)17 cells sustain rheumatoid-like IL-17-independent inflammatory arthritis
Zoccheddu M, Suga K, Seng A et al. · Science immunology 2025 · PMID 41202149 · doi:10.1126/sciimmunol.adm7800
This dataset
Open GSE234595 in finder → Find more mouse 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 GSE234595_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: 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 PRJNA982107 and SRA study SRP442014. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41202149) ↗
Study design
4 × Lymph nodes Th17_Sample vs 4 × Lymph nodes exTh17_Sample vs 4 × Joint Th17_Sample vs 4 × Joint exTh17_Sample

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
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