GEO series

Synergistic Role of DGKalpha and zeta in Regulatory T cell function, stability, and pathogenecity

GSE276410 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/08/23 Platform GPL17021

At a glance

RNA-seq (gene expression) · mouse · 18 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: 18 samples: 6 × DGKazDKO-Tcons sample vs 4 × WT-Treg sample vs 4 × DGKazDKO-Treg sample vs 4 × WT Tcons 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: DGKα and ζ Deficiency Causes Regulatory T-Cell Dysregulation, Destabilization, and Conversion to Pathogenic T-Follicular Helper Cells to Trigger IgG1-Predominant AutoimmunitybioRxiv : the preprint server for biology · 2025

Summary (written by the submitters)

Regulatory T cells (Tregs) actively engage in immune suppression to prevent autoimmune diseases but also inhibit anti-tumor immunity. Although Tregs express a TCR repertoire with relatively high affinities to self, they are normally quite stable and their inflammatory programs are intrinsically suppressed. We report here that diacylglycerol kinases (DGK) alpha and zeta are crucial for homeostasis, suppression of proinflammatory programs, and stability of Tregs and for enforcing their dependence on CD28 costimulatory signal.

Read the full summary ↓

Treg-specific deficiency of both DGKa and z derails signaling, metabolic, and transcriptional programs in Tregs to cause dysregulated phenotypic and functional properties and to unleash conversion to pathogenic exTregs, especially exTreg-T follicular helper (Tfh) 2 cells, leading to uncontrolled effector T cell differentiation, deregulated germinal center B cell responses and IgG1/IgE predominant antibodies/autoantibodies, and multiorgan autoimmune diseases. Our data not only illustrate the crucial roles of DGKs in Tregs to maintain self-tolerance but also unveil a Treg-to-self-reactive-pathogenic-exTreg-Tfh-cell program that is suppressed by DGKs and that could exert broad pathogenic roles in autoimmune diseases if unchecked.

Published in

DGKα and ζ Deficiency Causes Regulatory T-Cell Dysregulation, Destabilization, and Conversion to Pathogenic T-Follicular Helper Cells to Trigger IgG1-Predominant Autoimmunity

Li L, Huang H, Wang H et al. · bioRxiv : the preprint server for biology 2025 · PMID 39651265 · doi:10.1101/2024.11.26.625360

This dataset

Open GSE276410 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 GSE276410_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 PRJNA1157289 and SRA study SRP530527. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39651265) ↗

Study design

6 × DGKazDKO-Tcons sample vs 4 × WT-Treg sample vs 4 × DGKazDKO-Treg sample vs 4 × WT Tcons sample

Supports a between-group comparison across 18 samples.

How we read this: 4 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

GSM8498215 WT-Treg sample 1 WT-Treg sample
GSM8498216 WT-Treg sample 2 WT-Treg sample
GSM8498217 WT-Treg sample 3 WT-Treg sample
GSM8498218 WT-Treg sample 4 WT-Treg sample
GSM8498219 DGKazDKO-Treg sample 1 DGKazDKO-Treg sample
GSM8498220 DGKazDKO-Treg sample 2 DGKazDKO-Treg sample
GSM8498221 DGKazDKO-Treg sample 3 DGKazDKO-Treg sample
GSM8498222 DGKazDKO-Treg sample 4 DGKazDKO-Treg sample
GSM8498223 WT Tcons sample 1 WT Tcons sample
GSM8498224 WT Tcons sample 2 WT Tcons sample
GSM8498225 WT Tcons sample 3 WT Tcons sample
GSM8498226 WT Tcons sample 4 WT Tcons sample
GSM8498227 DGKazDKO-Tcons sample 1 DGKazDKO-Tcons sample
GSM8498228 DGKazDKO-Tcons sample 2 DGKazDKO-Tcons sample
GSM8498229 DGKazDKO-Tcons sample 3 DGKazDKO-Tcons sample
GSM8498230 DGKazDKO-Tcons sample 4 DGKazDKO-Tcons sample
GSM8498231 DGKazDKO-Tcons sample 5 DGKazDKO-Tcons sample
GSM8498232 DGKazDKO-Tcons sample 6 DGKazDKO-Tcons sample

Datasets on a similar topic

GSE228457 IL-7 mediated immunoregulatory feedback loop promotes dampening of immune effector functions by hypoinflammatory monocytes. 305 samples shares regulatory
GSE274992 Splenic fibroblasts control marginal zone B-cell movement and function via two distinct Notch2-dependent regulatory programs 119 samples shares regulatory
GSE292261 A dynamic gene regulatory code drives synaptic development of hippocampal granule cells [SS2] 576 samples shares regulatory
GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 samples shares regulatory
GSE309517 Inhibition of the cancer stem cell immune checkpoint SOAT1 suppresses regulatory T cell functions through a trans-cellular 20(S)-Hydroxycholesterol-GPR132 pathway in mice. 45 samples shares regulatory
GSE217662 Decoding Trp53 regulatory program with knockout cell transcriptomic landscape analyses [scRNA-seq] 247 samples shares regulatory
GSE252120 Oxidative stress induced telomere instability/damage drives T cell dysfunction in cancer 32 samples shares stability
GSE267967 Foxp3 and BATF cooperatively direct cis-regulatory programs and gene expression for functional differentiation of Treg cells [RNA-seq] 26 samples shares regulatory

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.