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Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [CUT&Tag]

GSE263360 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2025/03/30 Platform GPL21626
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 36 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
36 samples: 12 conditions, mostly in triplicateGroups 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, a common malignant pediatric brain tumor that typically originating from the cerebellum, is characterized by mutations in chromatin modifiers, highlighting the significance of epigenomic abnormalities in their progression. To prove this significance, the development and use of animal models that closely recapitulate the disease have been highly effective.
Read the full summary ↓
However, due to substantial time and cost limitations of developing genetically engineered mouse models, a complete understanding of the oncogenic potential of chromatin modifiers’ mutations found in human medulloblastomas is still elusive. In this study, we address this by CRISPR-mediated gene editing platform to knock out chromatin modifiers mutated human in SHH-subgroup medulloblastoma as well as the Ptch1 gene in cerebellar granule neuron progenitors. We functionally screened molecules involved tumor formation, identifying CHD7 and KMT2C as tumor suppressor genes. Multi-layered omics analysis revealed that these molecules epigenetically regulate the expression of Neurod1 that encodes a transcription factor crucial for neuronal differentiation, through histone H3 modification. Mutations impairing these factors suppress Neurod1, accelerating tumor growth. Conversely, forced expression of Neurod1 inhibits proliferation and promotes differentiation, underscoring its role as a key regulator in medulloblastoma aggressiveness. These findings not only demonstrate converging epigenomic abnormalities in SHH-subgroup medulloblastoma but also hold significant potential for evaluating epigenetic drugs targeting medulloblastoma, advancing the development of novel treatments.
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 GSE263360_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 PRJNA1096764 and SRA study SRP499990. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in triplicate
NC H3K4me1 ×3 NC H3K4me3 ×3 NC H3K27ac ×3 NC H3K27me3 ×3 Kmt2c_KO H3K4me1 ×3 Kmt2c_KO H3K4me3 ×3 Kmt2c_KO H3K27ac ×3 Kmt2c_KO H3K27me3 ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.