Spatial gene expression-based, non-small cell lung carcinoma patients with paired brain metastases(Dataset ID: STDS0000164)

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PMID: 36216799
Summary
Visualization
Data
Analysis results
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Dataset information
Summary:
Spatial RNA-seq were successfully constructed through expression profiling of a total of 18,694 genes in non-small cell lung cancer (NSCLC) cases with paired brain metastases.
Overall design:
In the study presented here, 35 cases from a well-defined cohort of 44 NSCLC cases with paired brain metastases was used to acquire expression profiles of a total of 18,694 unique genes.
Technology:
GeoMx DSP
Platform:
NextSeq 550 (Homo sapiens)
Species:
Homo sapiens(hg38)
Tissues:
Lung
Cell types:
Metastatic lung cancer in a lymph node,tumor immune microenviroment in the metastatic brain,tumor im
Disease:
Non-small cell lung cancer
Submission date: 2022-04-10Update date: 2022-10-12
Sample number: 120
DOI: To be continue
Contributors
Abdo, Rober
Accessions
GEO Series Accessions: GSE200563
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] Abdo, Rober. Spatial gene expression-based, non-small cell lung carcinoma patients with paired brain metastases[DS/OL]. STOmicsDB, 2022[2022-04-10]. https://db.cngb.org/stomics/datasets/STDS0000164/. 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: Zhang, Qi et al. “The spatial transcriptomic landscape of non-small cell lung cancer brain metastasis.” Nature communications vol. 13,1 5983. 10 Oct. 2022, doi:10.1038/s41467-022-33365-y