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Meningioma microenvironment harbors a rich immune landscape with therapeutic implications (Bulk RNA-seq part)

GSE290805 Homo sapiens (human) Single-cell RNA-seq 47 samples Submitted 2026/02/11 Platform GPL16791
At a glance

Single-cell RNA-seq · human · 47 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)
Samples
47 samples: 40 distinct titles, 1 of them repeatedGroups 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
Meningioma microenvironment harbors a rich immune landscape that evolves with biological stateNeuro-oncology · 2026
Summary (written by the submitters)
Effective therapeutic targets are urgently needed for aggressive meningiomas. Given the pivotal role of immune microenvironment in tumor progression, we developed a comprehensive atlas of the meningioma microenvironment. Using single-cell and bulk techniques, we revealed a rich immune infiltrate in 2,610 meningiomas, among the highest observed across 34 human cancer types.
Read the full summary ↓
Macrophages predominated in meningioma, contrasting with the lymphoid dominance of peripheral blood, with meninges exhibiting an intermediate immune profile. Cellular states and phenotypes of both immune and tumor cells shift during tumor progression toward an earlier-stage immune-suppressive and proliferative profile in aggressive meningiomas. Using ex vivo patient-derived tumor organoids, we demonstrated inducible responses to STING activation, marked by elevated cytokine release, which were synergistic when combined with PD-1 blockade. Together, these findings provide an extensive resource on the cellular heterogeneity of the meningioma microenvironment and provide a framework for rational therapeutic modeling and strategy development.
Published in
Meningioma microenvironment harbors a rich immune landscape that evolves with biological state
Guo X, Moynihan ZA, Driver J et al. · Neuro-oncology 2026 · PMID 41630100 · doi:10.1093/neuonc/noag022
This dataset
Open GSE290805 in finder → Find more human RNA-seq datasets →
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 GSE290805_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 PRJNA1230148 and SRA study SRP567172. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41630100) ↗
Study design
40 distinct titles, 1 of them repeated
RP-1390_PDO-25321_SM-LLY ×8

How we read this: Read from 47 sample titles: 40 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

+ 7 more — browse all 47 samples with per-sample file links →

Datasets on a similar topic

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.