← BioTransfer GEO Dataset Finder
GEO series

BMP4 induces a p21-dependent cell state shift in glioblastoma linking mesenchymal transition to senescence

GSE273244 Homo sapiens (human) RNA-seq (gene expression) 80 samples Submitted 2025/05/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 80 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
80 samples: 58 distinct titles, 13 of them repeatedGroups 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
p21-Dependent Senescence Induction by BMP4 Renders Glioblastoma Cells Vulnerable to SenolyticsInternational journal of molecular sciences · 2025
Summary (written by the submitters)
Bone morphogenetic protein 4 (BMP4) has emerged as a potential glioblastoma therapy due to its anti-proliferative effect via SOX2 downregulation and differentiation promotion. However BMP4 responses vary across and within tumors. Our previous data indicate that BMP4 induces a mesenchymal-like cell state which is associated with therapy-resistance and tumor recurrence similar to senescence in cancer.
Read the full summary ↓
In this study we investigated BMP4?s potential to induce senescence in primary glioblastoma cells including proneural- and mesenchymal-like clones derived from the same tumor. BMP4 treatment induced senescence-associated genes and phenotypic changes such as cell enlargement senescence-associated-?-gal expression lamin B1 downregulation and elevated p21 levels. Importantly the most robust senescence induction was observed in the mesenchymal-like clone compared to its proneural counterpart. Notably mesenchymal-like cells displayed elevated basal levels of p21 and other senescence-associated markers suggesting a convergence of mesenchymal and senescent traits. p21 knockout abolished BMP4-induced senescence maintaining proliferation and cell size despite SOX2 downregulation. Additionally senolytic treatment effectively eliminated senescent cells through apoptosis thereby favoring survival of cells retaining normal p21 levels. Our findings demonstrate BMP4?s ability to induce p21-dependent senescence in glioblastoma particularly in therapy-resistant mesenchymal-like cells. These insights provide potential therapeutic strategies targeting senescence pathways in this challenging disease.
Published in
p21-Dependent Senescence Induction by BMP4 Renders Glioblastoma Cells Vulnerable to Senolytics
Niklasson M, Dalmo E, Segerman A et al. · International journal of molecular sciences 2025 · PMID 40362216 · doi:10.3390/ijms26093974
This dataset
Open GSE273244 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 GSE273244_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 PRJNA1140857 and SRA study SRP522577. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40362216) ↗
Study design
58 distinct titles, 13 of them repeated
clone-475, wt, ctrl 14d, ×4 clone-475, wt, bmp4 14d, ×3 clone-475, p21-ko, ctrl 14d, ×3 clone-475, p21-ko, bmp4 14d, ×3 u3065mg, wt, bmp4 14d, ×3 u3065mg, wt, ctrl 14d, ×3 u3065mg, p21-ko, bmp4 14d, ×3 u3065mg, p21-ko, ctrl 14d, ×3 +5 more

How we read this: Read from 80 sample titles: 58 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

+ 40 more — browse all 80 samples with per-sample file links →

More Glioblastoma datasets

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.