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- W2911465096 abstract "The extracellular matrix (ECM) is a dynamic three-dimensional (3D) fibrous network, surrounding all cells in vivo. Fiber manufacturing techniques are employed to mimic the ECM but still lack the knowledge and methodology to produce single fibers approximating cell size with different surface topographies to study cell-material interactions. Using solvent-assisted spinning (SAS), the potential to continuously produce single microscale fibers with unlimited length, precise diameter, and specific surface topographies was demonstrated. By applying solvents with different solubilities and volatilities, fibers with smooth, grooved, and porous surface morphologies are produced. Due to their hierarchical structures, the porous fibers are the most hydrophobic, followed by the grooved and the smooth fibers. The fiber diameter is increased by increasing the polymer concentration or decreasing the collector rotational speed. Moreover, SAS offers the advantage to control the interfiber distance and angle to fabricate multilayered 3D constructs. This report shows for the first time that the micro- and nanoscale topographies of single fibers mechanically regulate cell behavior. Fibroblasts, grown on fibers with grooved topographical features, stretch and elongate more compared to smooth and porous fibers, whereas both porous and grooved fibers induce nuclear translocation of yes-associated protein. The presented technique, therefore, provides a unique platform to study the interaction between cells and single ECM-like fibers in a precise and reproducible manner, which is of great importance for new material developments in the field of tissue engineering." @default.
- W2911465096 created "2019-02-21" @default.
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- W2911465096 date "2019-01-29" @default.
- W2911465096 modified "2023-10-15" @default.
- W2911465096 title "Solvent-Induced Nanotopographies of Single Microfibers Regulate Cell Mechanotransduction" @default.
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- W2911465096 doi "https://doi.org/10.1021/acsami.8b17955" @default.
- W2911465096 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30694648" @default.
- W2911465096 hasPublicationYear "2019" @default.
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