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Neuro-Glioblastoma Connectivity: Brain-Wide Mapping and Cholinergic Modulation of Tumor Progression

GSE300506 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2025/07/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 21 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
21 samples: 7 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)
This study explores the effect of long-range cholinergic input on glioblastoma (GBM) progression based on systematically mapping neuron-glioma connectivity via monosynaptic rabies virus tracing. To address the mechanism of cholinergic and glutamate inputs lead to increased GBM cell proliferation, we examined transcriptomic changes in patient-derived GBM cells at both early (3h) and chronic (24h) time points following brief exposure to glutamate, Cev, or their combination.
This dataset
Open GSE300506 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 GSE300506_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 PRJNA1281079 and SRA study SRP594049. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 conditions, mostly in triplicate
Vehicle treatment ×3 Cevimeline treatment for 1 hour, total RNA wa… ×3 Glutmate treatment for 1 hour, total RNA was … ×3 Combination treatment of Cevimeline and glutm… ×3 Cevimeline treatment for 1 hour, total RNA wa… ×3 Glutmate treatment for 1 hour, total RNA was … ×3 Combination treatment of Cevimeline and glutm… ×3

Supports a between-group comparison across 21 samples.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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
More Glioblastoma 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.