The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Microfluidic organoids-on-a-chip: The future of human models
Abstract
Microfluidics opened the possibility to model the physiological environment by controlling fluids flows, and therefore nutrients supply. It allows to integrate external stimuli such as electricals or mechanicals and in situ monitoring important parameters such as pH, oxygen and metabolite concentrations. Organoids are self-organized 3D organ-like clusters, which allow to closely model original organ functionalities. Applying microfluidics to organoids allows to generate powerful human models for studying organ development, diseases, and drug testing. In this review, after a brief introduction on microfluidics, organoids and organoids-on-a-chip are described by organs (brain, heart, gastrointestinal tract, liver, pancreas) highlighting the microfluidic approaches since this point of view was overlooked in previously published reviews. Indeed, the review aims to discuss from a different point of view, primary microfluidics, the available literature on organoids-on-a-chip, standing out from the published literature by focusing on each specific organ.
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Cites
Cerebral organoids model human brain development and microcephaly
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Organoids as an in vitro model of human development and disease
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Homeostatic mini-intestines through scaffold-guided organoid morphogenesis
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Development of a primary human Small Intestine-on-a-Chip using biopsy-derived organoids
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Microfabrication of human organs-on-chips
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Cardioids reveal self-organizing principles of human cardiogenesis
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Cited by
Organoids: The current status and biomedical applications
Yang, S., Hu, H., Kung, H., Zou, R., Dai, Y., Hu, Y., Wang, T., Lv, T., Yu, J., & Li, F. (2023) · MedComm · doi:10.1002/mco2.274 · Cited by 266
Metadata
- Authors
- Saorin, G., Caligiuri, I., & Rizzolio, F.
- Venue
- Seminars in Cell & Developmental Biology
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 144
- Pages
- 41-54
- ISSN
- 1084-9521 (ISSN-L)
- OpenAlex
- W4304190482
- Cited by
- 196
- References
- 19
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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