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Divergent medulloblastoma chromatin states disclose KDM2B as a selective dependency [RNA-Seq]

GSE269909 Homo sapiens (human) RNA-seq (gene expression) 50 samples Submitted 2026/06/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 50 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)
Topic
MedulloblastomaThis series is part of our curated briefing on it.
Samples
50 samples: 35 distinct titles, 8 of them repeatedGroups 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.
Summary (written by the submitters)
Medulloblastoma (MB) is a biologically heterogeneous childhood cerebellar tumor harboring frequent chromatin-modifying gene alterations. How these alterations promote transcriptional programs governing malignancy remains poorly defined. To address this knowledge gap, we evaluated chromatin states across MB subgroups by multi-modal integration of histone modifications with mutational, DNA methylation, and transcriptomic profiles.
Read the full summary ↓
A bivalent/poised enhancer (EnhBiv) state was specifically enriched at the promoters of neurodevelopmental genes in Groups 3 and 4-MB. Integrative bioinformatics coupled with chromatin occupancy studies identified aberrant KDM2B binding at EnhBiv-enriched promoters. CRISPR-mediated knockout or acute protein degradation of KDM2B selectively suppressed the growth of MB models in vitro and in vivo. Mechanistically, KDM2B promotes sequential recruitment of Polycomb repressive complexes (PRC1/PRC2) and EnhBiv chromatin, thereby repressing neuronal differentiation programs. Collectively, we provide foundational insights into an epigenetic basis of MB, nominating KDM2B as a selective dependency in high-risk subgroups that warrants consideration as a candidate therapeutic target.
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 GSE269909_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: 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 PRJNA1124104 and SRA study SRP514105. Searching any of these in the dataset finder brings you back here.

Study design
35 distinct titles, 8 of them repeated
D283_Day4_control ×3 D283_Day4_KDM2B_gRNA10 ×3 D283_Day4_KDM2B_gRNA28 ×3 D283_Day7_control ×3 D283_Day7_KDM2B_gRNA10 ×3 D283_Day7_KDM2B_gRNA28 ×3 DMB006_gRNA10 ×3 DMB006_control ×2

How we read this: Read from 50 sample titles: 35 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

+ 10 more — browse all 50 samples with per-sample file links →

More Medulloblastoma datasets

Search all human RNA-seq datasets in GEO →

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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.