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Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
Published on: March 29, 2024
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Single-cell multimodal transcriptomics to study neuronal diversity in human stem cell-derived brain tissue and
Mark van den Hurk1, Cedric Bardy2
1Laboratory for Human Neurophysiology, Genetics and Stem Cells; South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia.
Journal of Neuroscience Methods
|July 17, 2019
Summary
New single-cell genomics methods can optimize brain tissue engineering for neuroscience research. These techniques help account for cellular variability, improving the development of therapies for neurological and psychiatric disorders.
Area of Science:
- Neuroscience
- Stem Cell Biology
- Genomics
Background:
- Human cell reprogramming and induced pluripotent stem cell technologies offer great potential for neuroscience research.
- The toolkit for engineering diverse brain tissues and neuronal cell types is expanding.
Purpose of the Study:
- To discuss how single-cell genomics methods can benchmark and optimize brain tissue engineering.
- To highlight the importance of addressing heterogeneity in reprogrammed brain tissue for disease mechanism discovery.
Main Methods:
- Application of single-cell genomics techniques.
- Analysis of cellular heterogeneity and variability in engineered brain tissues.
Main Results:
- Single-cell genomics can identify and address challenges posed by inherent variability in reprogrammed tissues.
- These methods provide a framework for rigorous experimental design in tissue engineering.
Conclusions:
- Single-cell genomics is crucial for optimizing brain tissue engineering processes.
- Improved tissue engineering through single-cell genomics can advance the development of therapeutics for neurological and psychiatric disorders.
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