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Elongin B orchestrates chromatin and transcriptional programs in H3K27M‑mutant diffuse midline glioma [XIII_ELOBKO_chIP_ELOB_RNAPII]

GSE324875 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2026/04/27 Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 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
Homo sapiens (human)
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
Elongin B orchestrates chromatin and transcriptional programs in H3K27M-mutant diffuse midline gliomabioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Recurrent driver mutations in genes encoding histone H3 (H3.3K27M and H3.1K27M) are observed in ~80% of diffuse midline gliomas (DMG), which lead to aberrant gene regulation, yet the specific RNA polymerase 2 (Pol2) regulators inducing aberrant DMG transcription are not fully defined. We identified multiple regulators of Pol2 elongation as DMG genetic dependencies in a chromatin-focused CRISPR screen.
Read the full summary ↓
Additional studies confirm that knockout (KO) of the Pol2 SIII complex gene Elongin B (ELOB) inhibits DMG cell proliferation in tissue culture and tumor growth in xenograft models. Further genomic analyses reveal that ELOB binding sites are enriched in H3K27M oncohistones and that ELOB knockout alters H3K27me3 and H3K27M incorporation at thousands of genomic regions, suggesting a role for ELOB in maintaining dysfunctional chromatin states in DMG. Correspondingly, ELOB loss disrupts Pol2 transcriptional activity and alters the expression of transcripts involved in metabolism, proliferation, and brain development. These findings suggest that Pol2 elongation factors cooperate with H3K27M oncohistones to maintain the epigenetic and transcriptional landscape driving DMG malignancy.
Published in
Elongin B orchestrates chromatin and transcriptional programs in H3K27M-mutant diffuse midline glioma
Jiao AL, Murdaugh RL, Kebede AF et al. · bioRxiv : the preprint server for biology 2026 · PMID 42239282 · doi:10.64898/2026.05.16.724973
This dataset
Open GSE324875 in finder → Find more human 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 GSE324875_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 PRJNA1438026 and SRA study SRP683990. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42239282) ↗
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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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.