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Succinate preserves CD8+ T cell fitness to augment anti-tumor immunity

GSE298906 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 46 samples Submitted 2025/08/14 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 46 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
46 samples: 18 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.
Summary (written by the submitters)
The tricarboxylic acid cycle intermediate succinate accumulates in tumors harboring succinate dehydrogenase (SDH) mutations. Despite evidence that succinate modulates CD8+ T cell cytotoxicity, its influence on T cell differentiation trajectories remains poorly understood. Here we reveal that SDHB-deficient tumors exhibit enriched tumor-specific CD8+ T cell infiltration and enhanced responsiveness to PD-L1 blockade.
This dataset
Open GSE298906 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 GSE298906_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1271764 and SRA study SRP589774. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
18 conditions, mostly in triplicate
CTR.vitro.D7 ×3 SUCC.vitro.D7 ×3 CTRL.LM-OVA-MPEC.D7 ×3 SUCC.LM-OVA-MPEC.D7 ×3 CTRL.LM-OVA-SLEC.D7 ×3 SUCC.LM-OVA-SLEC.D7 ×3 CTRL-WT ×3 CTRL-WT-aPDL1 ×3 +10 more

Supports a between-group comparison across 46 samples.

How we read this: 18 replicated groups read from 46 sample titles; they account for 46 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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