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Mitochondrial metabolism and signaling direct dendritic cell function in antitumor immunity

GSE285346 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 39 samples Submitted 2026/01/21 Platform GPL21103Platform GPL23038
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 39 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
39 samples: 8 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Paper
Mitochondrial metabolism and signaling direct dendritic cell function in antitumor immunityScience (New York, N.Y.) · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Mitochondrial metabolism and signaling direct dendritic cell function in antitumor immunity
You Z, Kim J, Guo C et al. · Science (New York, N.Y.) 2026 · PMID 41926583 · doi:10.1126/science.adv6582
This dataset
Open GSE285346 in finder → Find more mouse microarray 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 GSE285346_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 PRJNA1203201 and SRA study SRP607127. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41926583) ↗
Study design
8 conditions, mostly with about 4 replicates each
Splenic_cDC1_KO ×4 cDC1_TMRM_low ×4 cDC1_TMRM_high ×4 WT_cDC1 ×4 OPA1KO_cDC1 ×4 cDC1s from B16-OVA at day 7 # ×4 cDC1s from B16-OVA at day 21 # ×4 Splenic_cDC1_WT ×3 +8 more

Supports a case/control comparison: 8 samples read as cases, 4 as controls.

How we read this: 8 replicated groups read from 39 sample titles; they account for 31 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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