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CReP-mediated control of eIF2a phosphorylation is a central node in high-risk medulloblastoma [D458]

GSE290626 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2026/07/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 24 samples, each with a distinct title — no replicated groupsGroups 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 the most common malignant pediatric brain tumor. The MYC‑amplified group 3 (G3) MB represents a high‑risk disease lacking effective therapies. A genetic screen identified the endoplasmic reticulum chaperone HSPA5 (BiP/GRP78) as a critical dependency in G3 MB. Its silencing induces apoptosis and suppresses tumor growth, with strong activation of the unfolded protein response (UPR).
Read the full summary ↓
The UPR includes three branches, including the PERK–eIF2α axis, which transiently reduces global protein synthesis while enabling selective translation of stress‑responsive factors such as ATF4. We show that G3 MB requires sustained eIF2α activity for survival. Its inhibition triggers cell death through ATF4‑dependent and ‑independent transcriptional programs and translational reprogramming that deplete essential proteins and promote accumulation of detrimental factors. The eIF2α phosphatase PPP1R15B (CReP) maintains basal eIF2α activity and prevents apoptosis. These findings identify the eIF2α axis and its regulators as a crucial node and a targetable vulnerability in G3 MB.
This dataset
Open GSE290626 in finder → Find more human RNA-seq datasets → Medulloblastoma landscape →
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 GSE290626_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 PRJNA1229436 and SRA study SRP566723. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 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
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.