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Approaches to benchmark and characterize in vitro human model systems
Charlie J Childs1, Madeline K Eiken2, Jason R Spence1,2,3
1Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Summary
Human gastruloids and organoids are advanced 3D models of development. Single-cell atlases are crucial for comparing these in vitro models to native tissues and improving their accuracy in recapitulating human organogenesis.
Area of Science:
- Developmental Biology
- Stem Cell Biology
- Genomics
Background:
- In vitro human models like gastruloids and organoids are complex 3D structures mimicking embryonic development and organogenesis.
- Accurate recapitulation of in vivo development is essential for utilizing these models to study human development and organ formation.
Purpose of the Study:
- To discuss the current state of in vitro model systems, specifically gastruloids and organoids.
- To highlight the role of single-cell technologies and atlases in understanding and improving these models.
- To explore how publicly available human developmental atlases can enhance the accuracy of organoids.
Main Methods:
- Leveraging single-cell sequencing and spatial technologies to analyze and compare in vitro models with native human tissues.
- Utilizing single-cell genomic efforts to create comprehensive cell and organ atlases.
- Benchmarking in vitro models against established atlases to assess their developmental fidelity.
Main Results:
- Single-cell atlases provide a framework for evaluating the accuracy of gastruloids and organoids.
- These atlases enable the identification of discrepancies between in vitro models and in vivo development.
- Data from atlases can guide the refinement of in vitro systems for better recapitulation of human development.
Conclusions:
- Advances in single-cell technologies are crucial for the development and validation of human in vitro models.
- Publicly available atlases are powerful tools for improving the biological relevance of organoids and gastruloids.
- Future efforts should focus on integrating multi-omic and spatial data to further enhance these models.

