Spatial Transcriptomics of Human Cardiac Tissue(Dataset ID: STDS0000083)

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1,766
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1,088
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Spots: 3,752
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Genes: 12,734
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PMID: 31862877
Summary
Visualization
Data
Analysis results
Related
Sample
Catalog
Dataset information
Contributors
Accessions
How to cite
Dataset information
Summary:
Transplanted (healthy) and explanted human heart tissue sections (affected by different heart failure etiologies) were investigated for gene expression differences by using the Spatial Transcriptomics technology.
Overall design:
Spatial transcriptomics analysis of biopsies from normal and hypertrophic, dilated and ischemic cardiomyopathy patients.
Technology:
Spatial Transcriptomics
Platform:
GPL18573
Species:
Homo sapiens(hg19)
Tissues:
Heart
Disease:
Heart failure
Submission date: 2019-08-14Update date: 2019-12-31
DOI: To be continue
Contributors
Olof Gidlöf,Gustav Smith
Contact: olof.gidlof@med.lu.se
Accessions
GEO Series Accessions: GSE135805
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] Olof Gidlöf,Gustav Smith. Spatial Transcriptomics of Human Cardiac Tissue[DS/OL]. STOmicsDB, 2019[2019-08-14]. https://db.cngb.org/stomics/datasets/STDS0000083/. 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: Egerstedt, Anna et al. “Profiling of the plasma proteome across different stages of human heart failure.” Nature communications vol. 10,1 5830. 20 Dec. 2019, doi:10.1038/s41467-019-13306-y