Organoid > Volume 2; 2022 > Article |
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Funding
This work was supported by the Korea Research Institute of Bioscience and Biotechnology (KRIBB) Research Initiative Program (KGM4722223 and KGM5362212), a National Research Foundation (NRF) grant funded by the Korean government (MSIT) (NRF-2022R1A2B5B02001644), and a grant (22213MFDS386) from the Ministry of Food and Drug Safety, Korea, in 2022.
Approaches | Features | Common advantages | Common limitations | Reference |
---|---|---|---|---|
3D co-culture | ||||
PHHs/KCs | Enhanced DILI sensitivity | ∙ Easy to culture | ∙ Structural complexity↓ | [5] |
∙ Suitable for HTS | ∙ Low in vivo similarity | |||
PHHs/LSECs/KCs /HSCs | Enhanced hepatic functions | ∙ Relatively homogeneous | [42] | |
Tissue engineering | ||||
Organs-on-a-chip | Spatial relationships with fluidics | ∙ In vivo-mimicking of the microenvironment | ∙ Less compatible with HTS | [30,31] |
Bioprinting | Enhanced structural complexity | ∙ Tissue-like structures | ∙ Comparatively difficult to culture | [32] |
Decellularized scaffolds | Native tissue structures, tissue-specific ECM | [35-38] | ||
Organoids | ||||
Multi-tissue organoids | Liver buds (vascularization/easy engrafting in vivo) | ∙ Structural complexity↑ | ∙ High cost | [10,41,45,46] |
∙ Long-term stability | ∙ Time-consuming | |||
∙ Cryopreservation | ∙ Less compatible with HTS | |||
Co-differentiation (advanced disease modeling and DILI prediction) | ∙ High fidelity | [11,47,48] | ||
Multi-organ organoids | Integrated hepato-biliary-pancreatic tissues | ∙ Patient-specific models | [49,51] |
Seon Ju Mun
https://orcid.org/0000-0001-8045-9038
Jaeseo Lee
https://orcid.org/0000-0002-2153-9684
Yongbo Shin
https://orcid.org/0000-0003-3941-8941
Vincent Eun
https://orcid.org/0000-0002-3220-5153
Youngmi Ji
https://orcid.org/0000-0002-4007-5838
Myung Jin Son
https://orcid.org/0000-0003-3487-4809