GEO series

A standardized patient-derived glioblastoma organoid platform for evaluating radiotherapy efficacy and overcoming resistance

GSE300985 Homo sapiens (human) RNA-seq (gene expression) 147 samples Submitted 2026/08/20 Platform GPL21697

At a glance

RNA-seq (gene expression) · human · 147 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: GlioblastomaThis series is part of our curated briefing on it.
Samples: 147 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.

Summary (written by the submitters)

Patient-derived glioblastoma organoids (GBOs) maintain characteristics of original tumors, though they have not been applied to assess therapeutics and investigate treatment resistance. In this study, we developed a standardized reaggregated GBO (rGBO) platform for scalable therapy screening and evaluated the efficacy of radiotherapy using rGBOs across 48 patients.

Read the full summary ↓

Radiation responses in rGBOs correlated with clinical outcomes of their corresponding patients treated with standard-of-care radiotherapy. Transcriptomic analyses identified gene signatures differentiating responsive rGBOs from resistant ones. Connectivity mapping with perturbational datasets nominated a panel of drugs capable of decreasing radioresistant and elevating radiosensitive signatures, and subsequent testing demonstrated that bromodomain and extraterminal (BET) family protein inhibitors enhances radiotherapy efficacy in GBO and xenograft models by downregulating radioresistant and inflammatory signatures. Together, our study highlights the potential of rGBOs for standardizing therapy screening, assessing patient-specific treatment responses and associated molecular features, as well as developing novel combination therapies to overcome treatment resistance.

This dataset

Open GSE300985 in finder → Find more human RNA-seq datasets → Glioblastoma 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 GSE300985_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 PRJNA1282957 and SRA study SRP595525. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 147 more — browse all 147 samples with per-sample file links →

More Glioblastoma datasets

GSE112648 SOXC factors as suppressors modulate Rho activity to promote neuronal reprogramming of human glioblastoma cells 18 samples same disease briefing · shares glioblastoma
GSE131928 single cell RNA-seq analysis of adult and paediatric IDH-wildtype Glioblastomas 2 samples same disease briefing · shares glioblastoma
GSE107560 Ivy Glioblastoma Atlas Project 305 samples same disease briefing · shares glioblastoma
GSE13041 Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age 267 samples same disease briefing · shares glioblastoma
GSE10878 Integrative Genome-wide Analysis of Glioblastoma. 60 samples same disease briefing · shares glioblastoma
GSE112650 SOX4/11 Enhances NGN2 Reprogramming Glioblastoma Cells into Neuron Cells by Modulating RhoA and CDC42/RAC1 Pathway Activity 30 samples same disease briefing · shares glioblastoma
GSE112645 SOXC factors as suppressors modulate Rho activity to promote neuronal reprogramming of human glioblastoma cells 12 samples same disease briefing · shares glioblastoma
GSE115459 Exosome-transmitted RVT1 from reactive astrocytes promotes recurrence glioblastoma proliferation 9 samples same disease briefing · shares glioblastoma

Search all human 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.