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Telomere damage enhances immunogenicity of neuroblastoma and accelerates response to anti-PD-L1 treatment

GSE312549 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2026/02/26 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 14 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
14 samples: 14 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; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Telomere damage enhances immunogenicity of neuroblastoma and accelerates response to anti-PD-L1 treatmentOncoimmunology · 2026
Summary (written by the submitters)
In human neuroblastoma cell lines, absence of baseline cGAS expression and lack of cGAS induction upon stimulation by cytosolic DNA has been reported, whereas the functionality of the cGAS-STING pathway in primary neuroblastoma has remained uncertain. To assess whether cGAS-STING pathway may be active in human neuroblastoma, we analyzed CGAS expression in primary tumor samples and compared it with that in human neuroblastoma cell lines.
Published in
Telomere damage enhances immunogenicity of neuroblastoma and accelerates response to anti-PD-L1 treatment
Höppner S, Werr L, Szilagyi B et al. · Oncoimmunology 2026 · PMID 41948996 · doi:10.1080/2162402X.2026.2653918
This dataset
Open GSE312549 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 GSE312549_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 PRJNA1374147 and SRA study SRP651436. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41948996) ↗
Study design
14 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 14 sample titles: 14 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
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.