Hydrogel-imposed boundary conditions guide single-lumen neuroepithelial morphogenesis.
Researchers developed novel hyaluronic acid-elastin-like protein (HELP) hydrogels to guide human induced pluripotent stem cells (iPSCs) into forming single-lumen neuroepithelial tissues, improving reproducibility for studying neurodevelopment and disease.
Area of Science:
- Biomaterials Science
- Developmental Biology
- Stem Cell Biology
Background:
- Three-dimensional (3D) stem cell cultures are valuable for studying human neurodevelopment.
- Existing neural organoid methods lack defined extracellular matrix (ECM) signaling and exhibit variable morphologies, limiting reproducibility.
- This variability hinders their use for modeling early developmental processes and diseases.
Purpose of the Study:
- To engineer a biomaterial system that guides human induced pluripotent stem cells (iPSCs) into forming reproducible neuroepithelial tissues.
- To investigate the role of extracellular matrix (ECM) properties in directing self-organization and morphogenesis.
- To establish a platform for modeling neurodevelopmental disorders.
Main Methods:
- Development of hyaluronic acid-elastin-like protein (HELP) hydrogels with dynamic covalent bonds to mimic neural ECM.
- Utilizing these hydrogels to impose extrinsic boundary conditions on self-organizing iPSCs.
- Characterizing the self-organization process and identifying key regulators of tissue morphology.
Main Results:
- iPSCs robustly self-organized into single-lumen neuroepithelial tissues within HELP hydrogels.
- Matrix stress relaxation rate and tensional homeostasis were identified as critical for single-lumen rosette formation.
- Phenotypic abnormalities were observed in a 22q11.2 deletion syndrome model using this system.
Conclusions:
- Tunable engineered hydrogels can initiate single-cell derived 3D neuroepithelial tissues.
- This system allows investigation of how matrix boundary conditions influence developmental morphogenesis.
- The developed hydrogel platform provides a reproducible method for neurodevelopmental disease modeling.
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