Different Decellularization Methods in Bovine Lung Tissue Reveals Distinct Biochemical Composition, Stiffness, and Viscoelasticity in Reconstituted Hydrogels.
Alican KuşoğluKardelen YangınSena N ÖzkanSevgi SarıcaDeniz ÖrnekNuriye SolcanIsmail Can KaraogluSeda KızılelPınar BulutayPınar FıratSuat ErusSerhan TanjuŞükrü DilegeEce OzturkPublished in: ACS applied bio materials (2023)
Extracellular matrix (ECM)-derived hydrogels are in demand for use in lung tissue engineering to mimic the native microenvironment of cells in vitro. Decellularization of native tissues has been pursued for preserving organotypic ECM while eliminating cellular content and reconstitution into scaffolds which allows re-cellularization for modeling homeostasis, regeneration, or diseases. Achieving mechanical stability and understanding the effects of the decellularization process on mechanical parameters of the reconstituted ECM hydrogels present a challenge in the field. Stiffness and viscoelasticity are important characteristics of tissue mechanics that regulate crucial cellular processes and their in vitro representation in engineered models is a current aspiration. The effect of decellularization on viscoelastic properties of resulting ECM hydrogels has not yet been addressed. The aim of this study was to establish bovine lung tissue decellularization for the first time via pursuing four different protocols and characterization of reconstituted decellularized lung ECM hydrogels for biochemical and mechanical properties. Our data reveal that bovine lungs provide a reproducible alternative to human lungs for disease modeling with optimal retention of ECM components upon decellularization. We demonstrate that the decellularization method significantly affects ECM content, stiffness, and viscoelastic properties of resulting hydrogels. Lastly, we examined the impact of these aspects on viability, morphology, and growth of lung cancer cells, healthy bronchial epithelial cells, and patient-derived lung organoids.
Keyphrases
- extracellular matrix
- tissue engineering
- stem cells
- high density
- endothelial cells
- gene expression
- machine learning
- induced apoptosis
- cell proliferation
- drug delivery
- electronic health record
- oxidative stress
- artificial intelligence
- cell death
- signaling pathway
- single cell
- genome wide
- endoplasmic reticulum stress
- high resolution
- drug release
- ultrasound guided
- deep learning