← BioTransfer GEO Dataset Finder
GEO series

Effect of ZIC1 on group 3 medulloblastoma cell lines and granule neuron progenitor [RNA-seq]

GSE217571 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2024/09/19 Platform GPL24247Platform GPL24676Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 36 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)
Samples
36 samples: 28 distinct titles, 6 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
ZIC1 is a context-dependent medulloblastoma driver in the rhombic lipNature genetics · 2025
Summary (written by the submitters)
Investigate the DNA binding pattern as well as transcriptional consequences of ZIC1 and its medulloblastoma mutants in group 3 medulloblastoma cell lines and granule neuron progenitors
Published in
ZIC1 is a context-dependent medulloblastoma driver in the rhombic lip
Lee JJY, Tao R, You Z et al. · Nature genetics 2025 · PMID 39753768 · doi:10.1038/s41588-024-02014-z
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 GSE217571_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 PRJNA899858 and SRA study SRP407040. Searching any of these in the dataset finder brings you back here.

Study design
28 distinct titles, 6 of them repeated
D425_RNA_BFP ×3 D425_RNA_ZIC1_4 ×3 ATOH1_GFP_RNA_mch_bulk ×2 ATOH1_GFP_RNA_mch_sort ×2 ATOH1_GFP_RNA_ZIC1_bulk ×2 ATOH1_GFP_RNA_ZIC1_sort ×2

How we read this: Read from 36 sample titles: 28 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
Datasets on a similar topic

Search all RNA-seq datasets in GEO →

Share this dataset

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.