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Hypoxia Promotes an Adrenergic to Mesenchymal Transcriptional Program Transition in Neuroblastoma

GSE264118 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2026/02/23 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 8 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.
Paper
Hypoxia Promotes an Adrenergic to Mesenchymal Transcriptional Program Transition in NeuroblastomaClinical and translational science · 2026
Summary (written by the submitters)
Purpose: Neuroblastoma is the most common extracranial solid tumor in childhood. We previously showed that circulating cell-free DNA (cfDNA) and tumor biopsy derived 5-hydroxymethylcytosime (5-hmC) profiles identified patients with neuroblastoma who experienced subsequent relapse. Here, we hypothesized that 5-hmC modifications selectively enriched in cfDNA compared with tumor biopsy samples would identify epigenetic changes associated with aggressive tumor behavior and identify novel biomarkers of outcome in patients with high- risk neuroblastoma.
Read the full summary ↓
Methods: 5-hmC profiles from cfDNA (n = 64) and tumor biopsies (n = 48) were compared. Two neuroblastoma cell lines underwent chromatin immunopre- cipitation followed by sequencing (ChIP-Seq) for H3K27me3, H3K4me3, and H3K27ac; kethoxal-associated single-stranded DNA sequencing; hmC-Seal for 5-hmC; and RNA-sequencing (RNA-Seq). Genes enriched for both H3K27me3 and H3K4me3 in the included cell lines were defined as bivalent. Using bivalent genes defined in vitro, a bivalent signature was established in three publicly available cohorts of patients with neuroblastoma through gene set variation analysis. Differences between tumors with high or low bivalent signatures were assessed by the Kaplan-Meier method and Cox proportional hazards models. Results: In cfDNA compared with tumor biopsy derived 5-hmC profiles, we found in- creased 5-hmC deposition on Polycomb Repressive Complex 2 target genes, a finding previously described in the context of bivalent genes. We identified 313 genes that bore bivalent chromatin marks, were enriched for mediators of neuronal differentiation, and were transcriptionally repressed across a panel of heterogeneous neuroblastoma cell lines. In three distinct clinical cohorts, low bivalent signature was significantly and independently associated with worse clinical outcome in patients with high-risk neuroblastoma. Conclusion: Low expression of bivalent genes is a biomarker of worse outcome in patients with high-risk neuroblastoma.
Published in
Hypoxia Promotes an Adrenergic to Mesenchymal Transcriptional Program Transition in Neuroblastoma
Chaves GS, Chennakesavalu M, Moore K et al. · Clinical and translational science 2026 · PMID 41724733 · doi:10.1111/cts.70508
This dataset
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.

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 GSE264118_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1101015 and SRA study SRP502118. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
55N cells, hypoxia, ×3 5S cells, hypoxia, ×3 BE2 cells, hypoxia, ×3 NBLS cells, hypoxia, ×3 SHEP cells, hypoxia, ×3 SY5Y cells, hypoxia, ×3 WN cells, hypoxia, ×3 WS cells, hypoxia, ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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
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