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Interleukin-12 drives a rapid STAT4/DDX5-dependent change in the RNA polymerase II landscape for IFN-γ production by NK cells [CUT&RUN]

GSE326112 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2026/05/28 Platform GPL34328
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: 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
Interleukin-12 induces rapid STAT4/DDX5-dependent remodeling of RNA polymerase II occupancy in NK cellsThe Journal of experimental medicine · 2026
Summary (written by the submitters)
Natural killer (NK) cells are innate lymphocytes that respond to inflammatory cytokines produced during infection by mounting a rapid response. However, the mechanisms that allow NK cells to launch such a swift response upon inflammation remains incompletely understood. Here, we investigate whether RNA Polymerase II (Pol II) may regulate this rapid responsiveness of NK cells.
Read the full summary ↓
Exposure of NK cells to the proinflammatory cytokine interleukin-12 (IL-12) results in a highly dynamic Pol II genomic landscape mediated by the transcription factor STAT4, especially at the interferon-gamma (Ifng) locus. We identify a STAT4 interacting partner, the RNA helicase DDX5, that was required for optimal IFN-γ production by modulating Pol II occupancy following IL-12 stimulation. Thus, our findings highlight STAT4/DDX5-mediated regulation of Pol II binding as a critical mechanism driving the rapid responsiveness of NK cells to proinflammatory cytokines.
Published in
Interleukin-12 induces rapid STAT4/DDX5-dependent remodeling of RNA polymerase II occupancy in NK cells
Kim H, Grassmann S, Wong W et al. · The Journal of experimental medicine 2026 · PMID 42313084 · doi:10.1084/jem.20250995
This dataset
Open GSE326112 in finder → Find more mouse ChIP / ATAC / CUT&Tag 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 GSE326112_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 PRJNA1443382 and SRA study SRP687006. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42313084) ↗
Study design
8 conditions, mostly in duplicate
mouse NK cells, IL-12 stimulated, DDX5, ×3 mouse NK cells, unstimulated, DDX5, ×3 mouse NK cells, IL-12 stimulated, CDK9, ×2 mouse NK cells, IL-12 then IL-18 stimulated, … ×2 mouse NK cells, unstimulated, CDK9, ×2 mouse NK cells, IL-12 stimulated, NELFE, ×2 mouse NK cells, unstimulated, NELFE, ×2 mouse NK cells, IL-12 stimulated, STAT4, ×2

Supports a between-group comparison across 18 samples.

How we read this: 8 replicated groups read from 18 sample titles; they account for 18 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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