Spatial transcriptomics of the ageing ovary(Dataset ID: STDS0000162)

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824
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546
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Spots: 4,263
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Genes: 32,285
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PMID: 35996587 (IF:5.8 Q1)
Summary
Visualization
Data
Analysis results
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How to cite
Dataset information
Summary:
Ageing is a physiological process that manifests through progressive molecular, cellular, and systemic changes. Female reproductive potential gradually declines with age as oocyte quality and quantity decline. The purpose of this study was to better understand the spatiotemporal dynamics of the ovary.
Overall design:
The Visium Spatial Gene Expression technology from 10x Genomics was used to evaluate expression in ovary sections from young (3-4 months) and aged (15-16 months) mice. RNA was captured and sequenced from 4 capture areas, each containing 2 ovary sections (one young, one aged) for a total of 4 young and 4 aged samples.
Technology:
10x Visium
Platform:
NextSeq 550 (Mus musculus)
Species:
Mus musculus(mm10)
Tissues:
Ovarian
Organ parts:
Follicles
Development stage:
3-4 months,15-16 months
Disease:
Infertility
Submission date: 2021-11-05Update date: 2022-08-25
Sample number: 4Section number: 4
DOI: To be continue
Contributors
Russ, Jennifer E,Haywood, Mary E,Lane, Sydney C,Schoolcraft, William B,Katz-Jaffe, Mandy G
Accessions
GEO Series Accessions: GSE188257
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] Russ, Jennifer E,Haywood, Mary E,Lane, Sydney C,Schoolcraft, William B,Katz-Jaffe, Mandy G. Spatial transcriptomics of the ageing ovary[DS/OL]. STOmicsDB, 2021[2021-11-05]. https://db.cngb.org/stomics/datasets/STDS0000162/. 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: Russ, Jennifer E et al. “Spatially resolved transcriptomic profiling of ovarian aging in mice.” iScience vol. 25,8 104819. 4 Aug. 2022, doi:10.1016/j.isci.2022.104819