Spatiotemporal atlas of human endometrial receptivity(Dataset ID: STDS0000249)

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Summary
Visualization
Data
Analysis results
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Dataset information
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Dataset information
Summary:
Via integrating Stereo-seq (spatiotemporal enhanced resolution omics-sequencing) with single-cell transcriptomic profiling, we constructed a spatiotemporal atlas of human endometrial receptivity at single-cell resolution.
Overall design:
This human endometrium dataset depict the spatial distribution and dynamic organization of these distinct cell types in LH2, LH7, LH9 and LH12. Stereo-seq was applied to capture the spatial transcriptomic landscapes of endometrium during the establishment of receptivity. To enhance the accuracy of spatial cell annotation, particularly for cell types with smaller populations and diffuse distributions, such as endothelial cells and immune cells, Stereo-seq was integrated with scRNA-seq to annotate cells in endometrium. This combined approach mapped these cell types across 179,520 spatial spots in the endometrium with high precision
Technology:
Stereo-seq
Platform:
DNBSEQ-T7
Tissues:
Endometrium
Sex:
female
Submission date: 2025-01-14Update date: 2025-01-14
Sample number: 4Section number: 4
DOI: To be continue
Contributors
zhang leilei
Contact: luiwi.vip@gmail.com
Accessions
STOmicsDB Project ID: STT0000132
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] zhang leilei. Spatiotemporal atlas of human endometrial receptivity[DS/OL]. STOmicsDB, 2025[2025-01-14]. https://db.cngb.org/stomics/datasets/STDS0000249/. doi: xxxxxx
    #Format: {contributors}. {title}[DS/OL]. STOmicsDB, {the year of submission data}[{submission data}]. {dataset link}. doi: {doi ID}
  • Cite original data article:
    No results.