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CD4+ T cell activation in absence of WNK1

GSE201228 Mus musculus (mouse) RNA-seq (gene expression) 72 samples Submitted 2024/12/03 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 72 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
72 samples: 72 × BIG104AGroups 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
WNK1-dependent water influx is required for CD4(+) T cell activation and T cell-dependent antibody responsesNature communications · 2025
Summary (written by the submitters)
Signaling from the T cell antigen receptor (TCR) on CD4+ T cells triggers the adaptive immune response by inducing T cell activation, proliferation, and differentiation. However, TCR signaling pathways are incompletely understood. Unexpectedly, we demonstrate that WNK1, a kinase previously implicated in osmoregulation in the kidney, is required for T-dependent antibody responses.
Read the full summary ↓
We show that WNK1-OXSR1-STK39-dependent water influx through AQP3 is required for TCR signaling in CD4+ T cells and for entry into cell cycle. Additionally, by preventing ATR activation this signaling pathway is required for T cells to progress through the G2 phase of the cell cycle. Thus, TCR signaling via WNK1, OXSR1, STK39 and AQP3 leads to water entry that is essential for CD4+ T cell proliferation and hence T cell-dependent antibody responses.
Published in
WNK1-dependent water influx is required for CD4(+) T cell activation and T cell-dependent antibody responses
Biggs O'May J, Vanes L, de Boer LL et al. · Nature communications 2025 · PMID 39984435 · doi:10.1038/s41467-025-56778-x
This dataset
Open GSE201228 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 GSE201228_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 PRJNA830460 and SRA study SRP371516. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39984435) ↗
Study design
72 × BIG104A

Supports a between-group comparison across 72 samples.

How we read this: 1 replicated groups read from 72 sample titles; they account for 72 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

+ 32 more — browse all 72 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.