Multiomic researches revealed a spatial-temporal cellular atlas of mouse liver regeneration(Dataset ID: STDS0000059)

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21,457
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10,717
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Spots: 632,810
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Genes: 29,075
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Dataset information
Summary:
Despite the liver is one of the largest and most important organs in mammals, hepatic cell responses in homeostasis and perturbation are yet poorly understood. This is due to the difficulty of systematically studying multiple cell types in different cell states and locations, many of which are transient. Here, we used Stereo-seq (Spatio-Temporal Enhanced REsolution Omics-sequencing) combined with high-throughput single-cell transcriptomic analysis to profile murine liver homeostasis and regeneration after partial resection. Our integrative analysis dissects with unprecedented resolution the transcriptomic gradients controlling liver cell function at whole lobe scale, carefully defining how genes and gene regulatory networks are modulated through intercellular communication. Among other important regulators, we identified the transcriptional cofactor TBL1XR1 as an inflammation-induced master switch derepressing genes necessary for hepatocyte proliferation including metabolic genes and Wnt/β-catenin signaling pathway components. Our works lays the foundation for future high-definition spatiotemporal studies of liver malfunction.
Overall design:
overall_design is gone!
Technology:
Stereo-Seq
Platform:
DNBSEQ-T1
Tissues:
Liver
Development stage:
12 weeks
Sex:
Male
Disease:
Partial hepatectomy
Submission date: 2021-10-22Update date: 2021-10-22
Sample number: 12Section number: 30
Contributors
Shijie Hao | Jiangshan Xu | Quan Shi | Pengcheng Guo | Shuncheng Shangguan
Contact: haoshijie@genomics.cn
Accessions
database url: https://db.cngb.org/stomics/lista/
Reference way
No results.