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Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells

Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells

Published on: January 23, 2018

Cellotype-phenotype associations using 'organoid villages'.

Masaki Kimura¹, Takanori Takebe²

¹Center for Stem Cell and Organoid Medicine (CuSTOM), Division of Gastroenterology, Hepatology and Nutrition, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.

Trends in Endocrinology and Metabolism: TEM

|April 4, 2024

Summary

Massively mosaic donor-derived cells and organoids enable en masse phenotyping for cell-type-specific insights. This technology aids biomarker discovery and personalized therapies for metabolic diseases.

Keywords:

MASLD/MASH cellotype en masse phenotyping iPSC organoid

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Last Updated: Jul 18, 2026

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Published on: January 23, 2018

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Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Published on: June 5, 2020

Area of Science:

Genomics
Cell Biology
Metabolic Disease Research

Background:

Understanding cell-type-specific regulatory contexts is crucial for deciphering complex diseases.
Metabolic diseases are characterized by high heterogeneity, posing challenges for effective treatment.

Purpose of the Study:

To introduce and highlight the potential of en masse phenotyping using massively mosaic donor-derived cells and organoids.
To demonstrate how this technology can advance cellotype-phenotype association studies.
To explore its application in discovering biomarkers and therapeutic targets for precision medicine.

Main Methods:

Utilizing massively mosaic donor-derived cells and organoids for high-throughput phenotyping.
Analyzing cell-type-specific regulatory contexts to establish cellotype-phenotype associations.

Main Results:

En masse phenotyping provides enriched insights into cellotype-phenotype relationships.
The approach facilitates the discovery of potential biomarkers.
It aids in understanding genetic-epigenetic interactions relevant to disease.

Conclusions:

En masse phenotyping with mosaic cells and organoids is a promising technology for precision medicine.
This approach offers hope for developing personalized therapeutic strategies for heterogeneous metabolic diseases.
Further research can leverage this technology to uncover novel therapeutic targets.