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C/EBP⍺ activates Irf8 expression in myeloid progenitors at the +56 kb

GSE283421 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2025/06/22 Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 10 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
10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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
C/EBPα activates Irf8 expression in myeloid progenitors at the +56-kb enhancer to initiate cDC1 developmentScience immunology · 2025
Summary (written by the submitters)
Development of type 1 conventional dendritic cells (cDC1) underlies the capacity to generate antiviral and antitumor immune responses. Here, we identify the basis for cDC1 development from its earliest progenitors, determining the hierarchy of several required transcription factors and uncovering a novel paradigm for superenhancer function.
Read the full summary ↓
We produced in vivo mutations of two C/EBP binding sites that comprise the Irf8 +56 kb enhancer that abrogate IRF8 expression in all myeloid progenitors and impair cDC1 development. These sites do not bind RUNX1 or RUNX3, and C/EBPα expression instead is regulated by their action at the Cebpa +37 kb enhancer, placing RUNX factors upstream of Cepba in regulating Irf8. Finally, we demonstrate that cis interactions between the +56 kb Irf8 enhancer and the previously reported +41 kb and +32 kb Irf8 enhancers are mandatory in the sequential progression of these stage specific constituent elements.
Published in
C/EBPα activates Irf8 expression in myeloid progenitors at the +56-kb enhancer to initiate cDC1 development
Chen J, Liu TT, Ou F et al. · Science immunology 2025 · PMID 40378239 · doi:10.1126/sciimmunol.adt5899
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 GSE283421_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 PRJNA1193611 and SRA study SRP549101. Searching any of these in the dataset finder brings you back here.

Study design
10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 distinct titles with little repetition. 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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