Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic and targetable tissue states(Dataset ID: STDS0000211)

0
|
1,183
|
2,007
|
PMID: 37142563
Summary
Visualization
Data
Analysis results
Related
Sample
Catalog
Dataset information
Contributors
Accessions
How to cite
Dataset information
Summary:
This SuperSeries is composed of the SubSeries listed below.
Overall design:
Refer to individual Series
Technology:
10x Visium,snRNA,RNAseq
Platform:
Illumina NextSeq 500, NextSeq 550, Illumina NovaSeq 6000
Species:
Homo sapiens(Ensemble 91)
Tissues:
Brain
Organ parts:
GBM Tissue,Human cell lines
Development stage:
64,65,53,54,33,41,63,71,25,22,68,61,30,59,70,58,48,42,43,69,23
Sex:
F/M
Disease:
Primary | Recurrent | Cortex with astrogliosis | Focal architecture abnormalities; hippocampus with focal neuronal loss | Seizure epileptic brain
Submission date: 2023-03-29Update date: 2023-05-24
Sample number: 130
DOI: To be continue
Contributors
Al Dalahmah, Osama
Accessions
GEO Series Accessions: GSE228500
How to cite
  • Cite database of STOmicsDB:
    [1] Xu, Zhicheng et al. "STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization." Nucleic acids research vol. 52,D1 (2024): D1053-D1061. doi: 10.1093/nar/gkad933'
  • Cite visualization dataset:
    [2] Al Dalahmah, Osama. Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic and targetable tissue states[DS/OL]. STOmicsDB, 2023[2023-03-29]. https://db.cngb.org/stomics/datasets/STDS0000211/. doi: xxxxxx
    #Format: {contributors}. {title}[DS/OL]. STOmicsDB, {the year of submission data}[{submission data}]. {dataset link}. doi: {doi ID}
  • Cite original data article:
    Citation: Al-Dalahmah, Osama et al. “Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic and targetable tissue states.” Nature communications vol. 14,1 2586. 4 May. 2023, doi:10.1038/s41467-023-38186-1