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Capmatinib shows superior efficacy for MET-fusion driven pediatric high-grade glioma and synergizes with radiotherapy.

GSE252459 Mus musculus (mouse) DNA methylation 48 samples Submitted 2024/06/12 Platform GPL32685Platform GPL24247Platform GPL21145
At a glance

DNA methylation · mouse · 48 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
48 samples: 41 distinct titles, 3 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.
Paper
Capmatinib is an effective treatment for MET-fusion driven pediatric high-grade glioma and synergizes with radiotherapyMolecular cancer · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Capmatinib is an effective treatment for MET-fusion driven pediatric high-grade glioma and synergizes with radiotherapy
Zuckermann M, He C, Andrews J et al. · Molecular cancer 2024 · PMID 38849845 · doi:10.1186/s12943-024-02027-6
This dataset
Open GSE252459 in finder → Find more 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 GSE252459_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 beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1060685 and SRA study SRP472165. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38849845) ↗
Study design
41 distinct titles, 3 of them repeated
TRIM24-MET-i_P ×4 TRIM24-MET-r_P ×3 TFG-MET_Allograft ×3

How we read this: Read from 48 sample titles: 41 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

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