journal article·2024-04-01

A long-term storable gel-laden chip composite built in a multi-well plate enabling in situ cell encapsulation for high-throughput liver model

Min Kyeong Kim, Jubin Park, Sungho Tak, Kyurim Paek, Geul Bang, Sang-Mi Woo, Naresh Kumar Ravichandran, Won Gi Hong, Hyun-Wook Kang, Hyang Kim, Ji Yong Bae, Jeong Ah Kim

Biofabrication· Volume 16· Issue 2
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Abstract

Abstract Hydrogels are widely used as scaffold materials for constructing in vitro three-dimensional microphysiological systems. However, their high sensitivity to various external cues hinders the development of hydrogel-laden, microscale, and high-throughput chips. Here, we have developed a long-term storable gel-laden chip composite built in a multi-well plate, which enables in situ cell encapsulation and facilitates high-throughput analysis. Through optimized chemical crosslinking and freeze-drying method (C/FD), we have achieved a high-quality of gel-laden chip composite with excellent transparency, uniform porosity, and appropriate swelling and mechanical characteristics. Besides collagen, decellularized extracellular matrix with tissue-specific biochemical compound has been applied as chip composite. As a ready-to-use platform, in situ cell encapsulation within the gel has been achieved through capillary force generated during gel reswelling. The liver-mimetic chip composite, comprising HepG2 cells or primary hepatocytes, has demonstrated favorable hepatic functionality and high sensitivity in drug testing. The developed fabrication process with improved stability of gels and storability allows chip composites to be stored at a wide range of temperatures for up to 28 d without any deformation, demonstrating off-the-shelf products. Consequently, this provides an exceptionally simple and long-term storable platform that can be utilized for an efficient tissue-specific modeling and various biomedical applications.
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Research context

OpenAlex topics: 3D Printing in Biomedical Research · Tissue Engineering and Regenerative Medicine · Liver physiology and pathology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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