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Single-nuclei RNA-seq of meningioma

GSE313693Maas et al., 2026

Heidelberg snRNA-seq + spatial cohort

The most methodologically current paired dataset in the registry (Maas, Sahm et al., Nature Genetics 2026, PMID 41663806): 26 meningiomas profiled by single-nucleus RNA-seq and 42 by Visium spatial transcriptomics, spanning WHO grades and DNA methylation classes. The series description reports a decrease in myeloid cell proportion from grade 1 to grade 3, a concrete, testable finding for anyone reusing this data. Genuinely multi-modal at the single-cell/spatial resolution level, which very few meningioma datasets in this registry achieve simultaneously.

Modality
snRNA-seq
Sample count
26
Patient count
Not reported (26 samples; patient count not distinguished from sample count in series metadata)
Institution
Heidelberg University Hospital
Corresponding author
Sybren N. Maas / Felix Sahm
Platform
Illumina NovaSeq 6000 (GPL24676)
Access type
open
Tissue preservation
Not reported
WHO edition
Not reported
Grade breakdown
Not reported
Sex distribution
Not reported
Age distribution
Not reported
Anatomic location
Not reported
Brain invasion
Not reported
Normal/control tissue
None

All 26 samples merged (unintegrated) · 72,167 cells, 100 genes, 26 samples merged.

All 26 samples were merged by raw concatenation, not batch-corrected/integrated (same approach ScPCA documents for its own merged objects) -- use "color by sample" to check for patient-driven rather than biological clustering. 24 Leiden clusters at this scale means several likely resolve to the same broad cell type rather than being 24 distinct identities.

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Single-cell resolutionLinked to other modalitiesLarge cohort (top quartile)Molecular subtype annotatedPeer-reviewed
  • Maas SLN, et al. A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification. Nature Genetics, 2026. PMID 41663806 · DOI

Sources

  • GEO
    https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE313693
  • PubMed
    https://pubmed.ncbi.nlm.nih.gov/41663806/
  • DOI
    https://doi.org/10.1038/s41588-025-02475-w