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SOX2 Binds to CD133 in Glioblastoma Stem Cells to Regulate Cellular Stress Pathways Underlying Treatment Resistance

GSE299313 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2025/06/23 Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 24 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
Homo sapiens (human)
Topic
GlioblastomaThis series is part of our curated briefing on it.
Samples
24 samples
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
CRISPR screen reveals SOX2 as a critical regulator of CD133 and cellular stress response in glioblastomaScientific reports · 2025
Summary (written by the submitters)
Glioblastoma (GBM) remains a formidable challenge in clinical settings due to limited treatments available for patients. The surface protein CD133 identifies glioblastoma stem cells (GSCs), cells capable of overcoming therapeutic pressures and correlate with more aggressive tumor phenotypes. In our study, we utilized a CRISPR-based genetic screen and Cleavage Under Targets and Release Using Nuclease (CUT&RUN) workflows to distinguish molecular differences between healthy neural stem cells (NSCs) and GSCs.
Read the full summary ↓
This revealed heightened SOX2 expression directly binds to the PROM1 gene in GSCs, and upregulates genes associated with stress responses including those contributing to chemoradiation resistance. Our findings demonstrate the power of complementary genomic tools, CRISPR screens with CUT&RUN, to unravel complex gene regulatory networks. This integrated approach offers insights into overlapping fields of cancer biology and stem cell research.
Published in
CRISPR screen reveals SOX2 as a critical regulator of CD133 and cellular stress response in glioblastoma
Savage N, Danis E, Chokshi CR et al. · Scientific reports 2025 · PMID 41102523 · doi:10.1038/s41598-025-20183-7
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 GSE299313_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 PRJNA1273897 and SRA study SRP593604. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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