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Updated: Jun 13, 2025

Generation of 3D Whole Lung Organoids from Induced Pluripotent Stem Cells for Modeling Lung Developmental Biology and Disease
Published on: April 12, 2021
A Tunable Pulmonary Organoid Model Demonstrates Compositionally Driven Epithelial Plasticity and Immune Polarization
Cellular context alone shapes lung repair trajectories in a novel organoid model. This reveals how immune, epithelial, and mesenchymal interactions influence disease-relevant cell states and macrophage polarization for chronic lung diseases.
Area of Science:
- Pulmonary Medicine
- Regenerative Biology
- Cellular Biology
Background:
- Chronic lung diseases like idiopathic pulmonary fibrosis (IPF) and COPD involve abnormal epithelial repair and immune responses.
- The precise role of cellular context in directing these aberrant regenerative processes remains unclear.
Purpose of the Study:
- To investigate how varying immune, epithelial, and mesenchymal cell compositions influence lung epithelial plasticity and macrophage polarization.
- To model context-specific regenerative mechanisms in chronic lung diseases.
Main Methods:
- Development of a tunable, primary rat-derived lung organoid model.
- Systematic variation of immune, epithelial, and mesenchymal cell inputs.
- Analysis of emergent cell states, macrophage polarization, and multicellular signaling networks.
Main Results:
- Observed spontaneous emergence of disease-relevant transitional epithelial cell states (e.g., Sox9+ progenitors, RAS/AT0-like intermediates, hillock-like cells).
- Identified distinct macrophage activation profiles correlating with different cellular contexts.
- Mesenchyme-rich contexts promoted inflammatory signaling and persistence; immune-dominant contexts favored alveolar repair or squamous remodeling.
- Hillock-like cells exhibited context-specific immune-regulatory functions, potentially orchestrating inflammatory responses.
Conclusions:
- Lung organoid composition dictates epithelial plasticity and macrophage polarization, driving distinct regenerative outcomes.
- Multicellular signaling networks integrate stress, immune coordination, and epithelial fate to determine regenerative trajectories.
- This model offers a platform for studying context-dependent lung repair and developing targeted therapies for chronic lung diseases.
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