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YAP/TAZ cooperate with AP-1 to drive the mesenchymal cell state in neuroblastoma [RNAseq]

GSE275995 Homo sapiens (human) Single-cell RNA-seq 36 samples Submitted 2025/10/02 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 36 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Topic
NeuroblastomaThis series is part of our curated briefing on it.
Samples
36 samples: 6 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)
Cellular plasticity is a major driver of therapy resistance in cancer. For the pediatric solid tumor neuroblastoma, two distinct tumor cell phenotypes have been identified: adrenergic (ADR) and mesenchymal (MES) cells. Of those, the MES cells pose a rare subtype resistant to common treatment options. Here, we developed an image-based compound screen to interrogate vulnerabilities specific to the MES phenotype at single-cell resolution in heterogeneous neuroblastoma cultures.
Read the full summary ↓
Among the top hits, we identified inhibition of the transcriptional co-activators YAP/TAZ as a specific target in MES cells. Based on their chromatin binding, we show that YAP/TAZ cooperate with AP-1 transcription factors to regulate MES gene expression by forming a core-regulatory circuitry. We further provide evidence of a subset of tumor cells in patients co-expressing these factors. Collectively, we demonstrate that YAP/TAZ and AP-1 drive neuroblastoma tumor cell plasticity and present a novel therapeutic vulnerability with the potential to overcome treatment resistance.
This dataset
Open GSE275995 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 GSE275995_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1154237 and SRA study SRP529437. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
CLB-Ma k-975 treatment 24h ×3 CLB-Ma k-975 treatment 48h ×3 CLB-Ma k-975 control treatment ×3 SK-N-SH k-975 treatment 24h ×3 SK-N-SH k-975 treatment 48h ×3 SK-N-SH k-975 control treatment ×3 STA-NB-8 Mesenchymal, ×1 SK-N-SH Mesenchymal, ×1 +16 more

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 36 sample titles; they account for 18 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

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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.