stereo-seq data of primary lung and liver organoid
IDSTT0000115(Source: STOmics DB)
STOmics technology:BGI Stereomics Stereo-Seq
Organism(s):
Data type:Spatial transcriptomics
Sample scope:Other
Summary:Spatial transcriptomics technologies have demonstrated exceptional performance in characterizing brain and visceral organ tissues, as well as brain and retinal organoids. However, it has not yet been proven whether spatial transcriptomics can effectively characterize primary tissue-derived organoids, as the standardized tissue sectioning or slicing methods are not applicable for such organoids. Herein, we present a technique for organoid-spatially resolved transcriptomics based on organoid lamination. Primary mouse lung and liver-derived organoids were used in this study. The organoids were formulated using the droplet-engineering method, and laminated using a homemade device with weight compression. This technique preserved most cells in individual organoids while maintaining delicate epithelium structures in laminated domains that can be recognized through visual segmentation. The mouse lung and liver organoids were resolved comprising various cell types, including alveolar cells, damage-associated transient progenitor cells, basal cells, macrophages, endothelial cells, fibroblasts, hepatocytes, and hepatic stellate cells. The distribution and count of cells were confirmed using immunohistology and identified with spatial transcriptomic features. This study reports first the automated and integrated spatial transcriptomics method for primary organoids. It has the potential to standardize and rapidly characterize primary tissue-derived organoids
Contributor(s):Ma Shaohua, Wang Wanlong, Zhou Jiaqi, Liao Shangfeng, Hai Cheng et al.
Submitter:廖上峰(Liao Shangfeng),BGI Group
Release date:2024-10-24
Updated:2024-10-24
Statistics:
- Sample: 5
- Tissue Section: 5
Datasize:1.85GB
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