ArticleAmerican journal of physiology. Lung cellular and molecular physiology2022
Mouse lung organoid responses to reduced, increased, and cyclic stretch.
Article in American journal of physiology. Lung cellular and molecular physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Mechanochemical regulation of organoid morphogenesis: Integrated signaling circuits in engineered microenvironments.Materials today. Bio · 2026Review
- Epithelial Dysfunction in Congenital Diaphragmatic Hernia: Mechanisms, Models and Emerging Therapies.Cells · 2025Review
- Dynamic mechanical stimulation of alveolar epithelial-fibroblast models using the Flexcell tension system to study of lung disease mechanisms.Frontiers in medicine · 2025Article
- Influence of mesenchymal and biophysical components on distal lung organoid differentiation.Stem cell research & therapy · 2024Article
- The Role of Biophysical Factors in Organ Development: Insights from Current Organoid Models.Bioengineering (Basel, Switzerland) · 2024Review
- Anti-CELA1 antibody KF4 prevents emphysema by inhibiting stretch-mediated remodeling.JCI insight · 2024Article
- Engineering Dynamic 3D Models of Lung.Advances in experimental medicine and biology · 2023Article
- Engineering and Modeling the Lung Mesenchyme.Advances in experimental medicine and biology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
Most lung development occurs in the context of cyclic stretch. Alteration of the mechanical microenvironment is a common feature of many pulmonary diseases, with congenital diaphragmatic hernia (CDH) and fetal tracheal occlusion (FETO, a therapy for CDH) being extreme examples with changes in lung structure, cell differentiation, and function. To address limitations in cell culture and in vivo mechanotransductive models, we developed two mouse lung organoid (mLO) mechanotransductive models using
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