← BioTransfer GEO Dataset Finder
GEO series

Redox sensor KEAP1 promotes stemness and prevents reductive stress in exhausted CD8+ T cells via inhibiting NRF2

GSE224756 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2024/11/11 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 18 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
18 samples: 3 × ATAC_P14_Cl13_D7_TerminallyExhaused_Control vs 3 × ATAC_P14_Cl13_D7_TerminallyExhaused_KeaP1KO vs 2 × Chipseq_CD8_NRF2 vs 2 × Chipseq_CD8_InputGroups 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)
Persistent antigen stimulation exposes CD8+ T cells to various metabolic stresses and induces a dysfunctional state termed T-cell exhaustion. Exhausted CD8+ T cells are continuously replenished by a recently discovered self-renewing stem-like CD8+ T-cell subset, which maintains long-term immunity and provides proliferative burst in response to immunotherapies.
Read the full summary ↓
Although the redox system plays an important role in regulating T-cell activation, how cellular redox affects the differentiation of stem-like and exhausted CD8+ T cells is incompletely understood. Here, we showed that both antigen stimulation and terminal differentiation reduced mitochondrial oxidation and reactive oxygen species (ROS) in exhausted CD8+ T cells, which displayed a chromatin state primed for regulation by the redox sensing KEAP1-NRF2 pathway. During chronic viral infection, KEAP1 promoted expansion of antiviral CD8+ T cells and facilitated their differentiation into the stem-like subset in a cell autonomous manner. In addition, KEAP1 was required for establishing proper transcriptional programs of stem-like and exhausted CD8+ T cells. Mechanistically, KEAP1 maintained oxidation by upregulating genes involved in mitochondrial oxidation and repressing NRF2-driven transcription of antioxidant pathways. Deleting KEAP1 binding domain in NRF2 released NRF2 from regulation by KEAP1, impaired expansion and stemness of CD8+ T cells, and dysregulated multiple metabolic pathways including redox pathways. Thus, our study revealed a novel role of the redox pathway in regulating the molecular program and differentiation of stem-like and exhausted CD8+ T cells during chronic antigen stimulation.
This dataset
Open GSE224756 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 GSE224756_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 PRJNA932424 and SRA study SRP421379. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × ATAC_P14_Cl13_D7_TerminallyExhaused_Control vs 3 × ATAC_P14_Cl13_D7_TerminallyExhaused_KeaP1KO vs 2 × Chipseq_CD8_NRF2 vs 2 × Chipseq_CD8_Input

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 18 sample titles; they account for 10 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

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.