Spatially resolved multi-omics analytics of pituitary plasticity in mammals(Dataset ID: STDS0000141)

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Summary
Data
Sample
Catalog
Dataset information
Contributors
Accessions
How to cite
Dataset information
Summary:
Our results reveal the pituitary cell composition and spatial-temporal molecular features of mesenchymal, epithelial and stem cells, and hormonal cells. Analysis of pseudotime trajectory and transcription factor activity unveil the critical regulatory networks for cell fate determination and functions, including Axon guidance and Hippo pathways. The importance of endoplasmic reticulum stress and unfolded protein response in the regulation of oxidative stress, and enrichment of potent antioxidants in pituitary is identified. The plastic regulation of working, resting and multihormonal status for neuroendocrine cells is essential for the balance of pituitary hormones. Furthermore, the putative ligand-receptor interactions exhibit the regulatory relationships among diverse cell types, suggesting the pituitary stem cell niche comprising growth factors and extracellular matrix proteins. Our findings systematically illustrate the cellular and mechanistic basis of mammalian pituitary plasticity.
Overall design:
we integrate omics data of the single-nucleus RNA and ATAC sequencing, high-resolution spatial transcriptomics, and metabolomics to investigate the cell diversity and plasticity in anterior pituitaries from adult human, monkey, and mouse. The single-cell transcriptomics of mouse pituitary organoids are analyzed.
Technology:
Stereo-Seq
Platform:
DIPSEQ-T10
Species:
Homo sapiens
Tissues:
Pituitary
Cell types:
Som (Somatotropes),Lac (Lactotropes),Thy (Thyrotropes),Gon (Gonadotropes),Cor (Corticotropes),PSC (P
Development stage:
Adult
Submission date: 2022-01-24Update date: 2022-01-24
Sample number: 4Section number: 5
DOI: To be continue
Contributors
Shang Liu,Chuqing Wang,Liang Wu,Yannan Cao
Contact: liushang@genomics.cn
Accessions
No results.
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] Shang Liu,Chuqing Wang,Liang Wu,Yannan Cao. Spatially resolved multi-omics analytics of pituitary plasticity in mammals[DS/OL]. STOmicsDB, 2022[2022-01-24]. https://db.cngb.org/stomics/datasets/STDS0000141/. 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.