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.
Overview
- 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
Cohort detail
- Grade breakdown
- Not reported
- Sex distribution
- Not reported
- Age distribution
- Not reported
- Anatomic location
- Not reported
- Brain invasion
- Not reported
- Normal/control tissue
- None
Interactive gene-expression viewer
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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Priority attributes
Publications
- 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