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SETD2 contributes to PAF1C interactions with the elongating RNA Pol II and is required for neuronal differentiation [ChIP-Seq]

GSE278956 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2026/05/20 Platform GPL24247Platform GPL21103
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: 6 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
The H3K36me3 methyltransferase SETD2 contributes to PAF1C interactions with RNA Pol II and is required for neuronal differentiationThe EMBO journal · 2026
Summary (written by the submitters)
Chromatin modifications are relevant for mammalian development, and their aberrant deposition is associated with human disease. While the mechanisms that deposit and remove these modifications have been largely elucidated, their role in regulating gene activity during cellular differentiation has yet to be completely understood. By differentiating a panel of mouse embryonic stem cells lacking major chromatin regulators towards neuronal cells, we identified their requirement at different stages of cellular differentiation.
Read the full summary ↓
We show that the H3K36me3 methyltransferase SETD2 is important for the establishment of neuronal gene expression during late stages of differentiation but is dispensable once the cells have fully differentiated. While we don’t find evidence for a requirement of the histone methyltransferase activity in this process, we identify an indirect role of SETD2 in mediating interactions between the PAF1 complex and the elongating RNA Pol II, which could be required for optimal transcriptional processivity of neuronal genes.
Published in
The H3K36me3 methyltransferase SETD2 contributes to PAF1C interactions with RNA Pol II and is required for neuronal differentiation
Ambrosi C, Pfaendler R, Eleftheriou K et al. · The EMBO journal 2026 · PMID 41963556 · doi:10.1038/s44318-026-00768-2
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 GSE278956_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 PRJNA1169824 and SRA study SRP536990. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
H4panAc_KO ×2 H4panAc_WT ×2 Pol2_KO ×2 Pol2_WT ×2 Pol2S2P_KO ×2 Pol2S2P_WT ×2 H3K4me3_KO ×1 H3K4me3_WT ×1 +4 more

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 12 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.