Spatially resolved multi-omics analytics of pituitary plasticity in mammals
Dataset ID: STDS0000141
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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 (Pituitary Stem Cells), GEC (Glandular Epithelial Cells), MSC (Mesenchymal Stromal Cells), EC (Endothelial Cell), Mic (Microglia), Ser (Serotonin), Mel (Melaotrope), CC (Cell Cycle), Axon (axonal projections of neuron), Pit (Pituicyte)
Development stage:
Adult
Submission date: 2022-01-24Update date: 2022-01-24
Sample number: 4Section number: 5
Contributors
Shang Liu; Chuqing Wang; Liang Wu; Yannan Cao
Contact: liushang@genomics.cn
Accessions
No results.