GEO series

Fluid shear stress activates a targetable mechano-metastatic cascade to promote medulloblastoma metastasis

GSE288458 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/04/25 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 12 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: MedulloblastomaThis series is part of our curated briefing on it.
Samples: 12 samples: 3 × ONS76_FSS vs 3 × ONS76_Static vs 3 × DAOY _FSS vs 3 × DAOY _StaticGroups 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: Fluid shear stress activates a targetable mechano-metastatic cascade to promote medulloblastoma metastasisNature biomedical engineering · 2026

Summary (written by the submitters)

Biofluidflow generates fluid shear stress(FSS), a mechanical force widely present in tissue microenvironment. How brain tumor growth alters the conduit of biofluid, thereby impacting FSS-regulated cancer progression is unknown. Dissemination of medulloblastoma(MB) cells into the cerebrospinal fluid(CSF) initiates metastasis within the central nervous system.

Read the full summary ↓

By simulating CSF dynamics based on magnetic resonance imaging of MB patients, we discovered that FSS is elevated at the cervicomedullary junction. MB-relevant FSS promotes metastasis along mouse spinal cord. Mechanistically, FSS induces metastatic cell behaviours, including weakened cell-substrate adhesion, increased motility, cell clustering, and plasma membrane localization of glucose transporter 1 (GLUT1) to enhance glucose uptake. FSS is perceived by mechanosensitive ion channel PIEZO2, which drives actomyosin contractility-dependent GLUT1 recruitment at the plasma membrane. Genetic targeting of PIEZO2 or pharmacologic inhibition of GLUT1 mitigates metastasis. Collectively, these findings define a targetable FSS-activated mechano-metastatic cascade for the treatment of MB metastasis.

Published in

Fluid shear stress activates a targetable mechano-metastatic cascade to promote medulloblastoma metastasis

Min HK, Zhao H, Bahcheli A et al. · Nature biomedical engineering 2026 · PMID 40897897 · doi:10.1038/s41551-025-01487-5

This dataset

Open GSE288458 in finder → Find more human RNA-seq datasets → Medulloblastoma 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 GSE288458_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 PRJNA1217797 and SRA study SRP560879. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40897897) ↗

Study design

3 × ONS76_FSS vs 3 × ONS76_Static vs 3 × DAOY _FSS vs 3 × DAOY _Static

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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

GSM8768240 ONS76_FSS_Rep1 ONS76_FSS
GSM8768241 ONS76_FSS_Rep2 ONS76_FSS
GSM8768242 ONS76_FSS_Rep3 ONS76_FSS
GSM8768243 ONS76_Static_Rep1 ONS76_Static
GSM8768244 ONS76_Static_Rep2 ONS76_Static
GSM8768245 ONS76_Static_Rep3 ONS76_Static
GSM8768246 DAOY _FSS_Rep1 DAOY _FSS
GSM8768247 DAOY _FSS_Rep2 DAOY _FSS
GSM8768248 DAOY _FSS_Rep3 DAOY _FSS
GSM8768249 DAOY _Static_Rep1 DAOY _Static
GSM8768250 DAOY _Static_Rep2 DAOY _Static
GSM8768251 DAOY _Static_Rep3 DAOY _Static

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GSE323995 CReP-mediated control of eIF2a phosphorylation is a central node in high-risk medulloblastoma [RNA-Seq 3] 48 samples same disease briefing · shares medulloblastoma
GSE253557 Single-nuclei RNA-Seq profiles from Group 3 and Group 4 medulloblastomas [scRNA-Seq] 39 samples same disease briefing · shares medulloblastoma
GSE318970 Metabolic Dependencies in Medulloblastoma Reflect Underlying Cellular Origins 33 samples same disease briefing · shares medulloblastoma

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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.