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Lipidomics Reveals Cell Specific Changes During Pluripotent Differentiation to Neural and Mesodermal Lineages
Melanie T Odenkirk1, Haley C Jostes2, Kevin Francis3,4
1Department of Chemistry, North Carolina State University, Raleigh, NC.
Induced pluripotent stem cells (iPSCs) show shared lipid changes during early differentiation. Unique lipid alterations occur as iPSCs differentiate into neural or mesodermal cells, offering insights into stem cell biology and disease intervention.
Area of Science:
- Stem cell biology
- Lipidomics
- Cellular differentiation
Background:
- Pluripotent stem cells (PSCs) are crucial for understanding human disease and developing therapies.
- Lipids play vital roles in cell function and are implicated in various diseases.
- Understanding lipid dynamics during PSC differentiation is essential but remains incomplete.
Purpose of the Study:
- To investigate lipid alterations in induced pluripotent stem cells (iPSCs) during differentiation into neural and mesodermal lineages.
- To identify conserved and unique lipid changes across distinct differentiation pathways.
- To enhance the fundamental understanding of lipid metabolism in PSCs.
Main Methods:
- Lipidomic analysis of iPSCs at critical differentiation stages.
- Utilized a platform combining liquid chromatography, ion mobility spectrometry, and mass spectrometry (LC-IMS-MS).
- Compared lipid profiles during differentiation toward neural and mesodermal fates.
Main Results:
- Identified a common accumulation of triacylglycerides and free fatty acids in early iPSCs.
- Observed distinct utilization patterns of these lipids during subsequent differentiation.
- Detected unique fluctuations in specific phospholipid classes, sphingomyelins, and ceramides across differentiation.
Conclusions:
- Lipid metabolism undergoes significant, stage-specific changes during iPSC differentiation.
- Shared early lipid accumulation is followed by divergent lipid profiles depending on cell fate.
- These findings advance knowledge of PSC lipidomics and support applications in regenerative medicine and disease modeling.
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