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Updated: Mar 29, 2026

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Generating and Imaging Mouse and Human Epithelial Organoids from Normal and Tumor Mammary Tissue Without Passaging
Published on: November 11, 2022
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Value of Organoids from Comparative Epithelia Models
Julia S Schwarz1, Hugo R de Jonge2, John N Forrest3
1Yale College, Yale University, New Haven, Connecticut ; Department of Medicine, Yale School of Medicine, New Haven, Connecticut ; Mount Desert Island Biological Laboratory, Salisbury Cove, Maine.
The Yale Journal of Biology and Medicine
|November 26, 2015
Summary
Organoid research holds therapeutic promise. This study explores using comparative model organisms, like sharks and fish, to create organoids for advancing disease modeling and personalized medicine.
Area of Science:
- Biotechnology
- Comparative Biology
- Disease Modeling
Background:
- Organoids are self-organizing, organ-specific cell collections with therapeutic potential.
- Their genetic similarity to patients makes them ideal for drug efficacy testing.
- Human organoids are widely used, but comparative models are underexplored.
Purpose of the Study:
- To investigate the potential of generating epithelial organoids from comparative model organisms.
- To explore how these organoids can advance comparative biology and disease modeling.
- To assess future prospects for personalized medicine using these models.
Main Methods:
- Deriving epithelial organoids from spiny dogfish shark, zebrafish, and killifish.
- Culturing and manipulating organoid development and genetic makeup.
- Utilizing organoids for studying development, disease, and drug efficacy.
Main Results:
- Demonstrated the feasibility of generating organoids from diverse marine species.
- Highlighted the potential of these organoids for comparative biological studies.
- Showcased their utility in disease modeling and drug testing.
Conclusions:
- Epithelial organoids from comparative model organisms offer significant potential.
- These models can enhance understanding in comparative biology and disease research.
- They pave the way for future advancements in personalized medicine.

