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Targeting Setdb1 in T Cells Induces Transplant Tolerance without Compromising Antitumor Immunity

GSE288264 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2025/03/17 Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
16 samples: 8 conditions, mostly in duplicateGroups 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
Targeting Setdb1 in T cells induces transplant tolerance without compromising antitumor immunityNature communications · 2025
Summary (written by the submitters)
Suppressing immune responses promotes allograft survival but also favors tumor progression and recurrence. How to selectively suppress allograft rejection while maintaining or even enhancing antitumor immunity is challenging. Here, we found mice deficient in Setdb1, an H3K9 methyltransferase, retained allograft-related rejection but exhibited retentive antitumor immunity.
Read the full summary ↓
RNA-Seq showed that Setdb1 deficiency did not affect T-cell activation or cytokine production, but it induced an increase in regulatory T (Treg) cell-associated gene expression. Treg cell depletion impaired graft acceptance in Setdb1-deficient mice, indicating that the Treg cells promoted allograft survival. Surprisingly, Treg cell-specific Setdb1 deficiency did not prolong allograft survival, suggesting that Setdb1 may function prior to Foxp3 induction. Using single-cell RNA sequencing, we found that Setdb1 deficiency induced a new Treg population in the thymus. This subset of Treg cells expressed less IL-1R2 and IL-18R1. Mechanistically, during Treg cell induction, Setdb1 was recruited by transcription factor ATF and modified histone methylation. Our data define Setdb1 in T cells as a target for suppressing allograft rejection while maintaining antitumor immunity.
Published in
Targeting Setdb1 in T cells induces transplant tolerance without compromising antitumor immunity
Tan X, Zhao X, Hu Z et al. · Nature communications 2025 · PMID 40374612 · doi:10.1038/s41467-025-58841-z
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 GSE288264_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 PRJNA1216646 and SRA study SRP560461. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in duplicate
SETDB1 WT control ×2 SETDB1 WT HT ×2 SETDB1 KO control ×2 SETDB1 KO HT ×2 H3K9ME3 WT control ×2 H3K9ME3 WT HT ×2 H3K9ME3 KO control ×2 H3K9ME3 KO HT ×2

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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

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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.