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A tumor-associated photoreceptor signature unifies distinct central nervous system malignancies [bulkRNA-seq]

GSE275306 Mus musculus (mouse) Single-cell RNA-seq 39 samples Submitted 2026/02/07 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 39 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
Mus musculus (mouse)
Samples
39 samples
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
A tumor-associated photoreceptor signature unifies distinct central nervous system malignanciesCancer cell · 2026
Summary (written by the submitters)
Pineoblastoma is a clinically aggressive childhood brain tumor that segregates into molecularly distinct subgroups. Mechanisms governing pineoblastoma pathogenesis, including developmental origins, remain poorly defined. Herein, we resolved the cellular composition of pineoblastoma and other pineal parenchymal tumors at single-cell resolution, aligning malignant cells with pineal gland development to retrace cellular origins.
Read the full summary ↓
Integrative computational analyses mapped divergent pineoblastoma subgroups to cycling progenitors of the pinealocyte lineage. Lineage-specific perturbation of suspected drivers provoked the generation of genetically accurate preclinical models representing distinct molecular subgroups, while uncovering an oncogenic photoreceptor program conserved across pineoblastoma, retinoblastoma, and Group 3 medulloblastoma. Transcriptional activity of this program was acquired from cellular origin, incriminating photoreceptor identity as a common developmental vulnerability, substantiated as a strong dependency. Illuminated through multidisciplinary analysis of an uncommon, heterogeneous pediatric brain tumor, these advances motivate future studies evaluating developmentally encoded transcriptional programs of malignancy as potential therapeutic liabilities in clinically challenging entities.
Published in
A tumor-associated photoreceptor signature unifies distinct central nervous system malignancies
Gudenas BL, Ahmad ST, Englinger B et al. · Cancer cell 2026 · PMID 41791379 · doi:10.1016/j.ccell.2026.02.010
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 GSE275306_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: 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 PRJNA1150229 and SRA study SRP527608. Searching any of these in the dataset finder brings you back here.

Samples in this study

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