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Updated: Feb 1, 2026

Lab-on-a-CD Platform for Generating Multicellular Three-dimensional Spheroids
Published on: November 7, 2019
Generation of Hepatic Tissue Structures Using Multicellular Spheroid Culture
Fumiya Tao1, Hirotaka Mihara1, Nobuhiko Kojima2
1Department of Life and Environmental System Science, Graduate School of Nanobioscience, Yokohama City University, Yokohama, Japan.
Researchers engineered liver multicellular spheroids (MCSs) to improve hepatic function. By creating internal void spaces or extracellular matrix (ECM) fillings, they mimicked liver microarchitectures for enhanced cell performance.
Area of Science:
- Biotechnology
- Tissue Engineering
- Hepatology
Background:
- Hepatocytes within multicellular spheroids (MCSs) exhibit reduced hepatic functions compared to in vivo liver cells.
- Conventional hepatic MCSs lack liver-specific microstructures, such as hepatic cords, hindering optimal function.
- Replicating the structural features of hepatic cords is crucial for enhancing hepatic functions in engineered tissues.
Purpose of the Study:
- To engineer the microarchitecture of hepatic multicellular spheroids (MCSs).
- To mimic the structural features of hepatic cords within MCSs.
- To improve the hepatic functions of hepatocytes in engineered MCS models.
Main Methods:
- Development of a novel method for engineering microarchitectures within hepatic MCSs.
- Utilizing the formation of void spaces within the MCS structure.
- Incorporating extracellular matrices (ECMs) into the MCS to engineer microarchitecture.
Main Results:
- Successfully engineered microarchitectures in hepatic MCSs.
- Demonstrated the ability to create void spaces or fill with ECMs.
- Laid the groundwork for improved hepatic function representation in MCS models.
Conclusions:
- The developed method allows for the precise engineering of hepatic MCS microarchitecture.
- Mimicking liver-specific structures like hepatic cords is achievable through void formation or ECM filling.
- This approach holds potential for advancing hepatic tissue engineering and disease modeling.
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