Publication | Open Access
Tissue geometry drives deterministic organoid patterning
459
Citations
39
References
2022
Year
Cell CultureOrgan DevelopmentAnatomyStem Cell BiologyCellular PhysiologyTissue DevelopmentTissue GeometryOrganoid ModelsMatrix BiologyOrganoid CultureComputational AnatomyMorphogenesisOrganogenesisCell BiologyOrganoid FormationPattern FormationEpithelial OrganoidsDevelopmental BiologyStem Cell EngineeringStem Cell ResearchMedicineHuman TissueOrganoids
Epithelial organoids are stem‑cell derived tissues that mimic real organs but are often heterogeneous and irreproducible, limiting their research and clinical utility. The study develops spatially and temporally controlled organoid formation methods to render the process deterministic and to use this reproducibility to investigate epithelial patterning mechanisms. Bioengineered stem‑cell microenvironments set the initial geometry of intestinal organoids, thereby directing their patterning and crypt formation. Controlled organoids enable addressing questions that standard, variable models cannot, demonstrating their potential for more precise research applications.
Epithelial organoids are stem cell–derived tissues that approximate aspects of real organs, and thus they have potential as powerful tools in basic and translational research. By definition, they self-organize, but the structures formed are often heterogeneous and irreproducible, which limits their use in the lab and clinic. We describe methodologies for spatially and temporally controlling organoid formation, thereby rendering a stochastic process more deterministic. Bioengineered stem cell microenvironments are used to specify the initial geometry of intestinal organoids, which in turn controls their patterning and crypt formation. We leveraged the reproducibility and predictability of the culture to identify the underlying mechanisms of epithelial patterning, which may contribute to reinforcing intestinal regionalization in vivo. By controlling organoid culture, we demonstrate how these structures can be used to answer questions not readily addressable with the standard, more variable, organoid models.
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