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Metabolomics in Stem Cell Biology Research
Zhen Sun1, Jing Zhao1, Hua Yu1
1Department of Basic Medical Sciences, Center for Stem Cell and Regenerative Medicine, The First Affiliated Hospital, Institute of Hematology, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, China.
Methods in Molecular Biology (Clifton, N.J.)
|May 8, 2019
Summary
Metabolomics analysis using labeled nutrients reveals key metabolic activities in mouse embryonic stem cells (ES cells). This functional analysis provides insights into cell energy, proliferation, and fate decisions like self-renewal or differentiation.
Area of Science:
- Stem cell biology
- Metabolomics
- Systems biology
Background:
- Multi-omics studies are crucial for advancing stem cell research.
- Metabolomics offers functional insights into cellular states, including energy, proliferation, and differentiation potential.
- Understanding stem cell metabolism is key to controlling their fate.
Purpose of the Study:
- To describe a comprehensive metabolomics approach for analyzing mouse embryonic stem cells (ES cells).
- To integrate metabolomics with other omics data for a holistic view of stem cell function.
- To elucidate the metabolic underpinnings of stem cell self-renewal and differentiation.
Main Methods:
- Application of metabolomics using 13C-labeled glucose and glutamine tracing in mouse ES cells.
- Metabolite analysis utilizing mass spectrometry.
- Statistical and computational modeling for data interpretation.
Main Results:
- Characterization of metabolic pathways active in mouse ES cells.
- Direct measurement of cellular energetic status, proliferation, and fitness.
- Insights into metabolic factors influencing stem cell fate decisions.
Conclusions:
- Metabolomics, particularly with isotopic tracing, is a powerful tool for stem cell functional analysis.
- Integrating metabolomics with gene expression and epigenetics provides a comprehensive understanding of stem cells.
- This approach enhances the study of stem cell self-renewal and differentiation dynamics.
Keywords:
13C-tracing analysisMass spectroscopyMetabolic pathwayMetaboliteMetabolomicsStatistical analysisMore Related Videos
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