wbi@bwh.harvard.edu

Single-cell RNA sequencing of meningiomas

GSE213544Harmanci et al., 2022
Modality
scRNA-seq
Sample count
2
Patient count
1
Institution
Baylor College of Medicine
Corresponding author
Arif Harmanci, Akash Patel
Platform
Illumina NextSeq 500 (GPL18573)
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
convexity (parietal and frontal regions, one sample each); source overall_design literally reads 'postal and frontal regions', apparently a typo for 'parietal'
Brain invasion
Not reported
Normal/control tissue
None

Both samples merged (unintegrated) · 42,936 cells, 200 genes, 2 samples merged.

Both samples were merged by raw concatenation, not batch-corrected/integrated (same approach ScPCA documents for its own merged per-project objects) -- use "color by sample" to check whether cells separate by patient/site rather than assuming a shared embedding means removed batch effects.

Loading…

Single-cell resolutionPeer-reviewed
  • Harmanci A, et al. XCVATR: detection and characterization of variant impact on the Embeddings of single -cell and bulk RNA-sequencing samples. BMC genomics, 2022. PMID 36539717 · DOI

Sources

  • GEO
    https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE213544
  • PubMed
    https://pubmed.ncbi.nlm.nih.gov/36539717/