Spatial resolution of cellular senescence dynamics in colorectal liver metastasis(Dataset ID: STDS0000219)

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PMID: 37157887
Summary
Visualization
Data
Analysis results
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How to cite
Dataset information
Summary:
Heterogeneity of senescent cancer cells have been dissected by Spatial Transcriptomic in human colorectal liver metastasis (CRLM).
Overall design:
Comparative spatial gene expression profiling of senescent cancer cells subpopulations
Technology:
10x Visium
Platform:
NextSeq 550
Species:
Homo sapiens(hg38)
Tissues:
Liver
Organ parts:
CRLM
Submission date: 2022-06-21Update date: 2023-07-17
Sample number: 4Section number: 4
DOI: To be continue
Contributors
Faggioli, Francesca,Lambroia, Luca
Accessions
GEO Series Accessions: GSE206552
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] Faggioli, Francesca,Lambroia, Luca. Spatial resolution of cellular senescence dynamics in colorectal liver metastasis[DS/OL]. STOmicsDB, 2022[2022-06-21]. https://db.cngb.org/stomics/datasets/STDS0000219/. 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: Garbarino, Ombretta et al. “Spatial resolution of cellular senescence dynamics in human colorectal liver metastasis.” Aging cell vol. 22,7 (2023): e13853. doi:10.1111/acel.13853