ArticleProceedings of the National Academy of Sciences of the United States of America2024
Lamination-based organoid spatially resolved transcriptomics technique for primary lung and liver organoid characterization.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- A multi-modal profiling workflow of transcriptomics and biomineralization demonstrated on a tooth-on-chip model.MethodsX · 2026Article
- Construction Strategies, Microenvironmental Modelling and Precision-Therapy Applications of Glioma Organoid Models.Cancers · 2026Review
- Gastric Cancer Organoids: Mechanistic Insights, Drug Discovery, and Translational Advances in Precision Medicine.Journal of gastric cancer · 2026Review
- Single-cell RNA sequencing profiles drug activity within spatially engineered 3D cultures.Nature communications · 2026Article
- Application of spatial transcriptomics across organoids for a high-resolution, spatial whole-transcriptome benchmarking dataset.iScience · 2026Article
- Organoids: generation strategies, applications, and future challenges.Stem cell research & therapy · 2026Review
- Organoids to Model Tumor Microenvironment in Progression of Pathogenesis and Treatment Resistance in Glioblastoma Multiforme.Brain sciences · 2026Review
- Organoid models: Regulations and prospects for the development of investigational new drugs.Chinese medical journal · 2026Review
- Advances in the pathophysiological study of brain development: application of cerebral organoid combined with Spatial omics technology.Stem cell research & therapy · 2026Review
- Temporal proteomic profiling of iPSC-derived human liver organoids reveals optimal maturation for drug metabolism and toxicology.Scientific reports · 2026Article
- Advances in the Research and Development of Breast Cancer Organoids.Oncology research · 2026Review
- Review
- Review
- Multiscale Construction, Evaluation, and Application of Organoids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Spatial omics in 3D culture model systems: decoding cellular positioning mechanisms and microenvironmental dynamics.Journal of translational medicine · 2025Review
- A Unified Map of Airway Interactions: Secretome and Mechanotransduction Loops from Development to Disease.Advances in respiratory medicine · 2025Review
- AI-identified CD133-targeting natural compounds demonstrate differential anti-tumor effects and mechanisms in pan-cancer models.EMBO molecular medicine · 2025Article
- The application of liver cancer organoids in tumour precision medicine: A comprehensive review.iLIVER · 2025Review
- The application of organoids in investigating immune evasion in the microenvironment of gastric cancer and screening novel drug candidates.Molecular cancer · 2025Review
- Spatial profiling of the metabolism-immune axis in ovarian cancer.Frontiers in pharmacology · 2025Review
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15 authors.
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Abstract
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, lamination-based organoid spatially resolved transcriptomics (LOSRT), 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 an automated and integrated spatial transcriptomics method for primary organoids. It has the potential to standardize and rapidly characterize primary tissue-derived organoids.
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