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A biohybrid chiral hydrogel enhances preclinical postoperative glioblastoma therapy by multi-pronged inhibition of tumor stemness

GSE308216 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/03/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 5 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)
Glioblastoma stem cells (GSCs), which exhibit resistance to multiple treatments, are a prominent driver of postoperative glioblastoma (GBM) relapse. Declining the GSC population holds promise in GBM therapy but remains challenging, due to the difficulty in orchestrating the complex cytokine signaling programs and extracellular matrix features that induce GSC expansion.
Read the full summary ↓
Here, we develop a biohybrid chiral hydrogel that allows intracavity implantation after GBM surgical debulking to comprehensively regulate GSC stemness, enhancing postoperative therapy. The hydrogel encapsulates GSC membrane-coated nanoparticles (GSNP), which serve as potent decoys to broadly neutralizing GSC-targeted pro-stemness and chemotaxis cytokines, allowing functional blocking and hydrogel infiltration of GSCs. Moreover, we showed that the D-chiral biohybrid hydrogel (D-gel@GSNP), in contrast to its L- and DL-chiral counterparts, further diminishes GSC stemness phenotype via D-chiral geometry-regulated mechanotransduction pathways. In three orthotopic intracranial GBM models, multi-pronged inhibition of GSC stemness enhances the gold nanoclusters-based hydrogel scaffold-sensitized radioimmunotherapy, enabling suppression of GBM relapse post-resection. This integrated regulation of biochemical and biophysical cues shows potential for treating cancer stem cell (CSC)-enriched malignancies.
This dataset
Open GSE308216 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 GSE308216_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 PRJNA1329232 and SRA study SRP620808. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly in triplicate
Hoechst-CD133+ GL261 cells, DGSNP + cytokine … ×3 Hoechst-CD133+ GL261 cells, DNP + cytokine co… ×3 Hoechst-CD133+ GL261 cells, LGSNP + cytokine … ×3 Hoechst-CD133+ GL261 cells, PBS + cytokine co… ×3 Untreated non-SP GL261 cells, Day 6, ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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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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.