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Choi, Suji

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Choi

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Suji

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Choi, Suji
Author's Publications: search.filters.isAuthorOfPublication.229403ba-8fe4-4056-9ff7-430cd61276e8

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    Recreating the heart’s helical structure-function relationship with focused rotary jet spinning
    (American Association for the Advancement of Science (AAAS), 2022-07-08) Chang, Huibin; Liu, Qihan; Zimmerman, John F.; Lee, Keel Yong; Jin, Qianru; Peters, Michael M.; Rosnach, Michael; Choi, Suji; Kim, Sean L.; Ardoña, Herdeline Ann M.; MacQueen, Luke A.; Chantre, Christophe O.; Motta, Sarah E.; Cordoves, Elizabeth M.; Parker, Kevin
    Helical alignments within the heart’s musculature have been speculated to be important in achieving physiological pumping efficiencies. Testing this possibility is difficult, however, because it is challenging to reproduce the fine spatial features and complex structures of the heart’s musculature using current techniques. Here we report focused rotary jet spinning (FRJS), an additive manufacturing approach that enables rapid fabrication of micro/nanofiber scaffolds with programmable alignments in three-dimensional geometries. Seeding these scaffolds with cardiomyocytes enabled the biofabrication of tissue-engineered ventricles, with helically aligned models displaying more uniform deformations, greater apical shortening, and increased ejection fractions compared with circumferential alignments. The ability of FRJS to control fiber arrangements in three dimensions offers a streamlined approach to fabricating tissues and organs, with this work demonstrating how helical architectures contribute to cardiac performance.
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    A Bioinspired and Hierarchically Structured Shape-Memory Material
    (Springer Science and Business Media LLC, 2020-08-31) Cera, Luca; Gonzalez, Grant; Liu, Qihan; Choi, Suji; Chantre, Christophe O.; Lee, Juncheol; Gabardi, Rudy; Choi, Myung Chul; Shin, Kwanwoo; Parker, Kevin
    Shape memory polymeric materials lack long-range molecular order enabling more controlled and efficient actuation mechanisms. Here, we develop a hierarchical structured keratin-based system that has long-range molecular order and shape memory properties in response to hydration. We explore the metastable reconfiguration of keratin secondary structure – alpha-helix-to-beta-sheet transition – as an actuation mechanism to design a high-strength shape memory material that is biocompatible and processable through fiber spinning and 3D printing. We extract keratin protofibrils from animal hair and subject them to shear stress to induce their self-organization into a nematic phase, which recapitulates the native hierarchical organization of the protein. This self-assembly process can be tuned to create materials with desired anisotropic structuring and responsiveness. Our combination of bottom-up assembly and top-down manufacturing allows for the scalable fabrication of strong and hierarchically structured shape memory fibers and 3D printed scaffolds with potential applications in bioengineering and smart textiles.