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Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [RNA-seq]

GSE263358 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/03/30 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 21 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
Mus musculus (mouse)
Samples
21 samples: 7 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
Open GSE263358 in finder → Find more mouse 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 GSE263358_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 PRJNA1096762 and SRA study SRP499986. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 conditions, mostly in triplicate
Atoh1EGFP,Ptch1+/- spontaneous tumor ×3 sgPtch1 induced tumors ×3 sgPtch1-sgChd7 tumors ×3 sgPtch1-sgKmt2c tumors ×3 Group3 medulloblatoma ×3 GNP SAG(+) ×3 GNP SAG(-) ×3

Supports a between-group comparison across 21 samples.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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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