Organoids are stem cell-derived three-dimensional cellular units, capable of reproducing the biological structure and function of their organ of origin. Their self-assembled morphological structure and heterogeneous cellular composition mimic that of in vivo tissues and make it an excellent tool for disease modeling, drug discovery, and regenerative medicine. Research in organoid models has opened up endless new possibilities for the study of complex diseases such as cardiometabolic disease and other endocrine disorders. Recent breakthroughs in the field have allowed a better understanding of the functionality, pathogenicity, and targeted treatments.
Therapeutically, organoids could also be used for more personalized medicine where a patient’s own cells can be used for transplantation or evaluate possible treatment strategies. Combined with high throughput multi-omics approaches and Machine learning, Organoid’s models could become the universal toolkit for research and diagnosis.
Despite rapid progress, there are inherent bioengineering limitations such as genome engineering, microfluidics, and biomaterials among many others that are now just beginning to be addressed.
The use of organoids is an emerging tool for studying human development and metabolic diseases, they serve as an alternative to cell cultures and animal models, exhibiting a long-term hormone-responsive endocrine function. A variety of organoids are generated and studied, and several protocols are established. Modeling signaling pathways and metabolic flux require precise culture conditions and appropriate supraphysiological nutrient concentrations. These fine-tune conditions are not often described and make it impossible to reproduce studies. The 3D structure of an organoid is a key determinant for its final function and relies essentially on the bioengineering material used for the culture condition. This unique feature is still under debate in the community and no clear consensus has been made. Moreover, researchers are now grappling with large volumes of images and data resulting from the culture of hundred of organoids that will require intuitive and scalable softwares for rapid and automated analysis.
In this Research Topic, we aim to collect original research articles or clinical studies (with detailed protocols) that discuss the use of Organoids as a system approach to study complex endocrine diseases and endocrinopathies. We aim to create a resource with accurate and well-defined protocols for endocrine organoid culture. This article collection will synergize efforts toward generating standardized procedures and address a myriad of unmet needs encountered currently in the literature.
The selection of articles will be highly encouraged to discuss key conditions used in the differentiation protocol and clearly explain why each condition was chosen such as:
- Organ’s niche
- Spatial dispersion and structure.
- Vascularization
- Immune and endocrine competence
- Extracellular matrix /Encapsulation materials
- Quality control
- Microbiome (exp intestinal Organoids )
- Machine learning software/algorithms for Organoids Analysis
Organoids are stem cell-derived three-dimensional cellular units, capable of reproducing the biological structure and function of their organ of origin. Their self-assembled morphological structure and heterogeneous cellular composition mimic that of in vivo tissues and make it an excellent tool for disease modeling, drug discovery, and regenerative medicine. Research in organoid models has opened up endless new possibilities for the study of complex diseases such as cardiometabolic disease and other endocrine disorders. Recent breakthroughs in the field have allowed a better understanding of the functionality, pathogenicity, and targeted treatments.
Therapeutically, organoids could also be used for more personalized medicine where a patient’s own cells can be used for transplantation or evaluate possible treatment strategies. Combined with high throughput multi-omics approaches and Machine learning, Organoid’s models could become the universal toolkit for research and diagnosis.
Despite rapid progress, there are inherent bioengineering limitations such as genome engineering, microfluidics, and biomaterials among many others that are now just beginning to be addressed.
The use of organoids is an emerging tool for studying human development and metabolic diseases, they serve as an alternative to cell cultures and animal models, exhibiting a long-term hormone-responsive endocrine function. A variety of organoids are generated and studied, and several protocols are established. Modeling signaling pathways and metabolic flux require precise culture conditions and appropriate supraphysiological nutrient concentrations. These fine-tune conditions are not often described and make it impossible to reproduce studies. The 3D structure of an organoid is a key determinant for its final function and relies essentially on the bioengineering material used for the culture condition. This unique feature is still under debate in the community and no clear consensus has been made. Moreover, researchers are now grappling with large volumes of images and data resulting from the culture of hundred of organoids that will require intuitive and scalable softwares for rapid and automated analysis.
In this Research Topic, we aim to collect original research articles or clinical studies (with detailed protocols) that discuss the use of Organoids as a system approach to study complex endocrine diseases and endocrinopathies. We aim to create a resource with accurate and well-defined protocols for endocrine organoid culture. This article collection will synergize efforts toward generating standardized procedures and address a myriad of unmet needs encountered currently in the literature.
The selection of articles will be highly encouraged to discuss key conditions used in the differentiation protocol and clearly explain why each condition was chosen such as:
- Organ’s niche
- Spatial dispersion and structure.
- Vascularization
- Immune and endocrine competence
- Extracellular matrix /Encapsulation materials
- Quality control
- Microbiome (exp intestinal Organoids )
- Machine learning software/algorithms for Organoids Analysis
