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Steering cell orientation through light-based spatiotemporal modulation of the mechanical environment
Ignasi Jorba1,2,3, Sil Gussenhoven1, Atze van der Pol1,2
1Department of Biomedical Engineering, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands.
Biofabrication
|April 4, 2024
Summary
Researchers developed novel in vitro models to study how mechanical forces influence cell and tissue organization. These models reveal how stiffness patterns guide cell alignment, crucial for understanding tissue development and disease.
Area of Science:
- Biomaterials Science
- Mechanobiology
- Tissue Engineering
Background:
- Anisotropic organization of cells and extracellular matrix (ECM) is vital for tissue function, especially in the myocardium.
- This organization is altered during diseases like myocardial infarction, with mechanical stimuli playing a key role in its regulation.
- Current understanding of the underlying mechanobiological mechanisms controlling tissue organization is limited.
Purpose of the Study:
- To develop advanced in vitro model systems for spatiotemporally controlling multiscale mechanical environments.
- To investigate the mechanobiological mechanisms governing cell and ECM orientation using these novel systems.
- To study the effects of stiffness anisotropies on cardiac fibroblast (cFBs) and ECM alignment.
Main Methods:
- Fabrication of 2D and 3D in vitro models using light-sensitive materials and illumination techniques.
- Creation of spatiotemporally resolved stiffness anisotropies at both cellular (micron) and tissue (millimeter) scales.
- Introduction of stiffness anisotropies at defined timepoints post-cell seeding to assess temporal effects.
Main Results:
- 2D stiffness micropatterns induced anisotropic alignment of cardiac fibroblasts (cFBs), dependent on micropattern spacing but not stimulus timing.
- 3D stiffness macropatterns also promoted organized cFB alignment, influenced by stimulus timing.
- In 3D models, cFB alignment was temporally followed by slower extracellular matrix (ECM) co-alignment.
Conclusions:
- The developed model systems enable a deeper understanding of mechanobiological factors influencing cell and ECM orientation.
- Stiffness guidance and boundary constraints are identified as key factors steering tissue organization.
- These models provide a platform for studying tissue remodeling and mechanobiology in health and disease.
Keywords:
cardiac fibroblastscellular orientationextracellular matrixin vitro modelsmechanobiologytissue engineering
