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Microscale unorganized wrinkle topographies on biomaterial surfaces modulate cell migration
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- Sasaki Saori
- Department of Mechanical Engineering, Faculty of Engineering, Kyushu University
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- Eguchi Keita
- Department of Mechanical Engineering, Graduate School of Engineering, Kyushu University
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- Wei Ming
- Department of Mechanical Engineering, Graduate School of Engineering, Kyushu University
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- Takahashi Ryu
- Department of Mechanical Engineering, Graduate School of Engineering, Kyushu University
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- Sera Toshihiro
- Department of Mechanical Engineering, Faculty of Engineering, Kyushu University Department of Medical and Robotic Engineering Design, Faculty of Advanced Engineering, Tokyo University of Science
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- Takeishi Naoki
- Department of Mechanical Engineering, Faculty of Engineering, Kyushu University
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- Kudo Susumu
- Department of Mechanical Engineering, Faculty of Engineering, Kyushu University
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Description
<p>Directional migration of eukaryotic cells results from an interplay between cell motility and environmental cues such as stiffness, roughness, and microtopological features of substrates. While the effects of aligned grooves on the substrate lithographically designed on active cell migration are well documented, the impact of unorganized and wrinkled substrates remains poorly understood. We investigated how microscale wrinkles on gelatin substrates regulate two-dimensional (2D) migration of immortalized human mesenchymal stem cells (iMSCs). We showed that there exists an optimal wrinkle size to enhance iMSC migration, where the iMSCs exhibited larger travel distance with moderate wrinkle size (30 μm) than shorter or larger wrinkle sizes (10 μm and 50 μm). These findings reveal a size-dependent effect of wrinkles on iMSC migration and provide insights into designing biomaterials to control stem cell behavior in regenerative medicine applications.</p>
Journal
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- Journal of Biorheology
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Journal of Biorheology 38 (2), 120-125, 2024
JAPANESE SOCIETY OF BIORHEOLOGY
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Details 詳細情報について
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- CRID
- 1390865596627593472
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- ISSN
- 18670474
- 18670466
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- KAKEN
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- Abstract License Flag
- Disallowed