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YAPTAZ and neuroblastoma cell plasticity [RNA-Seq]

GSE292598 Homo sapiens (human) RNA-seq (gene expression) 25 samples Submitted 2026/05/10 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 25 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
NeuroblastomaThis series is part of our curated briefing on it.
Samples
25 samples: 11 conditions, mostly in duplicateGroups 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)
Spontaneous and reversible plasticity between two tumor cell states, noradrenergic and mesenchymal, has been described in neuroblastoma cell lines. Here, we show that YAP, TAZ, and their target genes are marked by super-enhancers and are strongly and specifically expressed in mesenchymal tumor cells. We characterize a core regulatory circuitry containing YAP/TAZ, TEAD, FOSL and RUNX factors that controls gene expression linked to a mesenchymal identity in neuroblastoma.
Read the full summary ↓
Genetic or pharmacological inactivation of YAP/TAZ reduces cell proliferation of mesenchymal neuroblastoma cells. The expression of a YAP/TAZ gene signature fully correlates with a mesenchymal identity in several models exhibiting plasticity between noradrenergic and mesenchymal states. Whereas YAP/TAZ inhibition impairs the noradrenergic to mesenchymal transition, YAP and/or TAZ overexpression induces a mesenchymal shift traduced by transcriptional and functional reprogramming, accompanied by the repression of noradrenergic identity. Altogether, these findings uncover a neuroblastoma-specific YAP/TAZ core regulatory circuitry controlling the switch of cell state towards a mesenchymal identity in neuroblastoma.
This dataset
Open GSE292598 in finder → Find more human RNA-seq datasets → Neuroblastoma 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 GSE292598_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 PRJNA1240276 and SRA study SRP572221. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
11 conditions, mostly in duplicate
5Yclone MES ×3 Xenograft 5Yclone MES ×3 Culture of Xenograft 5Yclone MES ×3 SH-SY5Y CTRL_J3 ×2 SH-SY5Y CTRL_J6 ×2 SH-SY5Y YAP_J3 ×2 SH-SY5Y YAP_J6 ×2 SH-SY5Y TAZ_J3 ×2 +3 more

Supports a between-group comparison across 25 samples.

How we read this: 11 replicated groups read from 25 sample titles; they account for 25 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 Neuroblastoma 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.