← BioTransfer GEO Dataset Finder
GEO series

Targeting E-Proteins Licenses cDC1 Immunogenicity for Potent Anti-Tumor Vaccination [ChIP-seq]

GSE324468 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2026/03/15 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 2 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
2 samples
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)
Type 1 conventional dendritic cells (cDC1s) are essential for priming anti-tumor CD8⁺ T cells, yet the intrinsic pathways limiting their function remain unclear. Here we identify E-proteins (E2A/HEB) as a master checkpoint that actively suppresses cDC1 immunogenicity by directly transactivating PTEN, thereby restraining PI3K-AKT-mTOR signaling, FLT3L-driven proliferation, and NF-κB-mediated IL-12 production.
Read the full summary ↓
Genetic ablation of E-proteins in DCs unleashes a hyperfunctional program—expanded cDC1 populations, enhanced antigen presentation, and superior CD8⁺ T cell priming—while deletion of the E-protein antagonist Id2 impairs cDC1 function, establishing a bidirectional rheostat. This axis is clinically relevant, as dynamic E-protein activity in human tumor DCs correlates with patient survival and response to immune checkpoint blockade. Finally, vaccination with E-protein-deficient DCs elicits potent antigen-specific T cell expansion and achieves robust therapeutic efficacy across multiple preclinical tumor models, defining a targetable checkpoint and establishing E-protein inactivation as a platform for next-generation cancer immunotherapies.
This dataset
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.

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 GSE324468_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1435198 and SRA study SRP682652. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 2 more — browse all 2 samples with per-sample file links →

Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag 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.