Browsing by Author "Joung, Daeha"

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    Supporting data for "3D Bioprinted In Vitro Metastatic Models via Reconstruction of Tumor Microenvironments"
    (2020-05-29) Meng, Fanben; Meyer, Carolyn M; Joung, Daeha; Vallera, Daniel A; McAlpine, Michael C; Panoskaltsis-Mortari, Angela; mcalpine@umn.edu; McAlpine, Michael C; McAlpine Research Group
    The data set includes the experimental data and the corresponding code files for " 3D Bioprinted In Vitro Metastatic Models via Reconstruction of Tumor Microenvironments", Fanben Meng, Carolyn M Meyer, Daeha Joung, Daniel A Vallera, Michael C McAlpine, Angela Panoskaltsis‐Mortari, Adv. Mater. 2019, 31 (10), 1806899. The development of 3D in vitro models capable of recapitulating native tumor microenvironments could improve the translatability of potential anticancer drugs and treatments. Here, 3D bioprinting techniques are used to build tumor constructs via precise placement of living cells, functional biomaterials, and programmable release capsules. This enables the spatiotemporal control of signaling molecular gradients, thereby dynamically modulating cellular behaviors at a local level. Vascularized tumor models are created to mimic key steps of cancer dissemination (invasion, intravasation, and angiogenesis), based on guided migration of tumor cells and endothelial cells in the context of stromal cells and growth factors. The utility of the metastatic models for drug screening is demonstrated by evaluating the anticancer efficacy of immunotoxins. These 3D vascularized tumor tissues provide a proof-of-concept platform to i) fundamentally explore the molecular mechanisms of tumor progression and metastasis, and ii) preclinically identify therapeutic agents and screen anticancer drugs.
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    Supporting data for "3D Printed Polymer Photodetectors"
    (2020-05-29) Park, Sung Hyun; Su, Ruitao; Guo, Shuang-Zhuang; Qiu, Kaiyan; Joung, Daeha; Fanben, Meng; McAlpine, Michael C; Jeong, Jaewoo; mcalpine@umn.edu; McAlpine, Michael C; McAlpine Research Group
    Extrusion-based 3D printing, an emerging technology, has been previously used in the comprehensive fabrication of light-emitting diodes using various functional inks, without cleanrooms or conventional microfabrication techniques. Here, polymer-based photodetectors exhibiting high performance are fully 3D printed and thoroughly characterized. A semiconducting polymer ink is printed and optimized for the active layer of the photodetector, achieving an external quantum efficiency of 25.3%, which is comparable to that of microfabricated counterparts and yet created solely via a one-pot custom built 3D-printing tool housed under ambient conditions. The devices are integrated into image sensing arrays with high sensitivity and wide field of view, by 3D printing interconnected photodetectors directly on flexible substrates and hemispherical surfaces. This approach is further extended to create integrated multifunctional devices consisting of optically coupled photodetectors and light-emitting diodes, demonstrating for the first time the multifunctional integration of multiple semiconducting device types which are fully 3D printed on a single platform. The 3D-printed optoelectronic devices are made without conventional microfabrication facilities, allowing for flexibility in the design and manufacturing of next-generation wearable and 3D-structured optoelectronics, and validating the potential of 3D printing to achieve high-performance integrated active electronic materials and devices.
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    Supporting data for 3D Printed Stem-Cell Derived Neural Progenitors Generate Spinal Cord Scaffolds
    (2020-05-15) Joung, Daeha; Truong, Vincent; Neitzke, Colin C; Guo, Shuang-Zhuang; Walsh, Patrick J; Monat, Joseph R; Meng, Fanben; Park, Sung Hyun; Dutton, James R; Parr, Ann M; McAlpine, Michael C; mcalpine@umn.edu; McAlpine, Michael C; McAlpine Research Group
    A bioengineered spinal cord is fabricated via extrusion-based multilateral 3D bioprinting, in which clusters of induced pluripotent stem cell (iPSC)-derived spinal neuronal progenitor cells (sNPCs) and oligodendrocyte progenitor cells (OPCs) are placed in precise positions within 3D printed biocompatible scaffolds during assembly. The location of a cluster of cells, of a single type or multiple types, is controlled using a point-dispensing printing method with a 200 μm center-to-center spacing within 150 μm wide channels. The bioprinted sNPCs differentiate and extend axons throughout microscale scaffold channels, and the activity of these neuronal networks is confirmed by physiological spontaneous calcium flux studies. Successful bioprinting of OPCs in combination with sNPCs demonstrates a multicellular neural tissue engineering approach, where the ability to direct the patterning and combination of transplanted neuronal and glial cells can be beneficial in rebuilding functional axonal connections across areas of central nervous system (CNS) tissue damage. This platform can be used to prepare novel biomimetic, hydrogel-based scaffolds modeling complex CNS tissue architecture in vitro and harnessed to develop new clinical approaches to treat neurological diseases, including spinal cord injury.