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Identification and Characterization of Adrenergic and Mesenchymal Cancer Cell States in Neuroblastoma Using Spatial-Omics [Spatial Transcriptomics]

GSE332618 Homo sapiens (human) Spatial transcriptomics 16 samples Submitted 2026/08/20 Platform GPL24676
At a glance

Spatial transcriptomics · human · 16 samples

What it is
Spatial transcriptomicsGene activity measured with its position in a tissue section.
Organism
Homo sapiens (human)
Topic
NeuroblastomaThis series is part of our curated briefing on it.
Samples
16 samples: 16 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.
Summary (written by the submitters)
Neuroblastoma is a pediatric cancer arising from the developing sympathoadrenal lineage and cell lines derived from neuroblastoma patients have features of either adrenergic neurons (ADRN) or mesenchymal cells (MES). However, identification of MES neuroblastoma cells in patient tumors has been challenging and controversial. This may be due to inter- or intra-patient tumor heterogeneity or discrepancies between the established neuroblastoma cell lines and patient tumors.
Read the full summary ↓
To characterize the intra- and inter-patient cellular heterogeneity, we analyzed 54 neuroblastoma tumors, spanning a broad range of clinical, genetic, and histologic features. We combined single-cell/nucleus RNA-seq (sc/scRNA-seq), bulk RNA-seq, spatial transcriptomics, and spatial proteomics. We discovered that the tumor cells are in distinct cellular neighborhoods from the non-malignant immune and stromal cells, but we could not identify MES neuroblastoma cells using the established gene expression signatures developed from cell lines. However, using ADRN/MES gene expression signatures developed from early passage orthotopic patient-derived xenografts, we were able to identify MES neuroblastoma tumor cells. We validated our results using RNA-seq, RNA in situ hybridization, immunostaining, chromatin profiling, spatial transcriptomics, functional studies in organoids, and electron microscopy. MES neuroblastoma tumor cells were more likely to be found in high-risk, MYCN amplified post-treatment samples. Taken together, our results demonstrate that MES neuroblastoma tumor cells are present in patient tumors and may correlate with response to therapy and outcome.
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE332618_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.

Also filed as BioProject PRJNA1468688. Searching any of these in the dataset finder brings you back here.

Study design
16 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 16 sample titles: 16 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
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