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H3K9me3 controls epidermis development by repressing RNA Pol II activity on key promoters and enhancers [CUT&Run - Temporal]

GSE318406 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 11 samples Submitted 2026/04/13 Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 11 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
11 samples: 11 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
H3K9me3 controls epidermis morphogenesis by regulating RNA Pol II dynamics at developmental promoters and enhancersNature communications · 2026
Summary (written by the submitters)
Histone H3 lysine 9 trimethylation (H3K9me3) is a heterochromatin mark important for silencing repetitive DNA elements and for repressing lineage-inappropriate genes during early murine development, but its role in later organogenesis remains understudied. Here, we simultaneously target three histone methylases, Suv39h1, Suv39h2 and Setdb1, to deplete H3K9me3 specifically in developing epidermis.
Read the full summary ↓
H3K9me3 loss blocks epidermis morphogenesis, resulting in defective cell differentiation, impaired barrier function, disrupted hair follicle formation, and failed Merkel cell specification. Single cell transcriptomic analysis reveals epidermal cells with mixed lineage identity and perturbed cell-type specific gene programs, including cell cycle, extracellular matrix, cytoskeleton, and metabolism. Using our recently developed approach, PReCIS-seq, we present the first cell-type specific, genome-wide landscape of transcriptionally engaged RNA polymerase II (RNA Pol II) in intact tissue following H3K9me3 depletion. We find that H3K9me3-enriched islands restrict inappropriate RNA Pol II activity at select developmentally regulated enhancers and promoters. This work highlights the indispensable role of H3K9me3, mediated by its three major histone methyltransferases, in regulating lineage diversification and developmental progression during mouse organogenesis.
Published in
H3K9me3 controls epidermis morphogenesis by regulating RNA Pol II dynamics at developmental promoters and enhancers
Bai CK, Chovatiya G, Pollack EJ et al. · Nature communications 2026 · PMID 42140939 · doi:10.1038/s41467-026-73308-5
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 GSE318406_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 PRJNA1418679 and SRA study SRP674613. Searching any of these in the dataset finder brings you back here.

Study design
11 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 11 sample titles: 11 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
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