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

GSE324874 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/04/27 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
12 samples: 3 × BT245_RNA_CTLsg vs 3 × BT245_RNA_ELOBKO vs 3 × DIPGXIII_RNA_CTLsg vs 3 × DIPGXIII_RNA_ELOBKOGroups 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 GSE324874 in finder → Find more human RNA-seq 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 GSE324874_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1438027 and SRA study SRP683993. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42239282) ↗
Study design
3 × BT245_RNA_CTLsg vs 3 × BT245_RNA_ELOBKO vs 3 × DIPGXIII_RNA_CTLsg vs 3 × DIPGXIII_RNA_ELOBKO

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 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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