Characterizing Neonatal Heart Maturation, Regeneration, and Scar Resolution Using Spatial Transcriptomics [spatial](Dataset ID: STDS0000124)

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Spots: 19,968
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Genes: 32,285
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PMID: 35050211
Summary
Visualization
Data
Analysis results
Related
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Dataset information
Contributors
Accessions
How to cite
Dataset information
Summary:
We use spatial transcriptomics to establish regional transcriptional profile of neonatal heart tissue obtained at indicated timpoints after apical resection surgery.
Overall design:
The cardiac apex was resected at P2, within the regenerative window, and hearts were isolated at indicated timepoints for spatial transcriptomics.
Technology:
10x Visium
Platform:
GPL24247
Species:
Mus musculus(mm10)
Submission date: 2021-11-15Update date: 2021-12-23
Sample number: 4
DOI: To be continue
Contributors
Small, Eric M,Misra, Adwiteeya,Baker, Cameron
Contact: cameron_baker@urmc.rochester.edu
Accessions
GEO Series Accessions: GSE188888
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] Small, Eric M,Misra, Adwiteeya,Baker, Cameron. Characterizing Neonatal Heart Maturation, Regeneration, and Scar Resolution Using Spatial Transcriptomics [spatial][DS/OL]. STOmicsDB, 2021[2021-11-15]. https://db.cngb.org/stomics/datasets/STDS0000124/. 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: Misra, Adwiteeya et al. “Characterizing Neonatal Heart Maturation, Regeneration, and Scar Resolution Using Spatial Transcriptomics.” Journal of cardiovascular development and disease vol. 9,1 1. 21 Dec. 2021, doi:10.3390/jcdd9010001