Spatiotemporal multi-omics decoding of the developing human spinal cord(Dataset ID: STDS0000217)

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PMID: 37095395
Summary
Visualization
Data
Analysis results
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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 Authors state "However, raw reads from our cohort are considered sensitive and protected by GDPR regulations, and will therefore be uploaded to Swedish federated EGA."
Technology:
10x Visium
Platform:
Illumina NovaSeq 6000
Species:
Homo sapiens(hg38)
Tissues:
Spinal cord
Submission date: 2022-11-30Update date: 2023-07-27
Sample number: 55Section number: 55
DOI: To be continue
Contributors
Czarnewski, Paulo
Accessions
GEO Series Accessions: GSE219122
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] Czarnewski, Paulo. Spatiotemporal multi-omics decoding of the developing human spinal cord[DS/OL]. STOmicsDB, 2022[2022-11-30]. https://db.cngb.org/stomics/datasets/STDS0000217/. 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: Li, Xiaofei et al. “Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin.” Nature neuroscience vol. 26,5 (2023): 891-901. doi:10.1038/s41593-023-01312-9