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Endothelins influence the proliferation-migration balance of IDH1-mutant glioma cells and promote proneural to mesenchymal transition

GSE298282 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2025/09/05 Platform GPL23227
At a glance

RNA-seq (gene expression) · human · 14 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
Lower-grade gliomaThis series is part of our curated briefing on it.
Samples
14 samples: 14 samples, each with a distinct title — no replicated groupsGroups 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
EDNRB-dependent endothelin signaling reduces proliferation and promotes proneural-to-mesenchymal transition in gliomasMolecular oncology · 2026
Summary (written by the submitters)
Adult diffuse gliomas are the deadliest brain tumours including IDH-wildtype glioblastomas of worst prognosis and diffuse low grade IDH-mutant astrocytomas and oligodendrogliomas. These glial tumours display distinct tumoral cell population defeating current therapies. Our group has unveiled the role of NOTCH signalling in glioblastoma cell plasticity and in the conversion of oligodendrocytic-like to astrocytic-like tumoral cells in IDH-mutant low-grade gliomas which escalate inevitably to higher grade malignant gliomas.
Read the full summary ↓
To gain insight into signalling pathways regulating glioma cell plasticity and malignancy, we focused our work on endothelin signalling including endothelin peptide ligands (ET-1, ET-2, ET-3) binding to G-protein coupled endothelin receptors A and B (EDNRA, EDNRB). Here, using glioma patient samples and glioma patient-derived cell lines, we showed that endothelin reduces glioma cell proliferation while increasing migration initiating a proneural to mesenchymal transition. Mechanistically, EDNRB activation led to IP3-dependent calcium mobilization, apamin-sensitive KCNN2/KCNN3 potassium currents and phosphorylation of ERK1/2 and STAT3 in glioma cells. Finally, we studied endothelin receptor regulation by tumoral microenvironment stimuli highlighting a role for EDNRA induced by NOTCH and hypoxia in perivascular hypoxic area in glioblastoma. Altogether, this study demonstrates endothelin signalling as a key player in mesenchymal transformation of diffuse IDH-mutant gliomas and glioblastomas.
Published in
EDNRB-dependent endothelin signaling reduces proliferation and promotes proneural-to-mesenchymal transition in gliomas
Pineau D, Garcia L, Arnold H et al. · Molecular oncology 2026 · PMID 42026941 · doi:10.1002/1878-0261.70223
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 GSE298282_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 PRJNA1268877 and SRA study SRP588425. Searching any of these in the dataset finder brings you back here.

Study design
14 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 14 sample titles: 14 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
More Lower-grade glioma datasets

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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.