Modeling the Effects of Severe Metabolic Disease by Genome Editing of hPSC-Derived Endothelial Cells Reveals an Inflammatory Phenotype
Abstract
:1. Introduction
2. Results
3. Discussion
4. Material and Methods
4.1. Human PSC Cell Culture and Endothelial Cell Differentiation
4.2. Western Blotting
4.3. Measurement of Cellular Oxygen Consumption Rate
4.4. Metabolic Profiling
4.5. Multiplexed Sandwich Immunoassay
4.6. Leukocyte Adhesion Assay
4.7. Statistical Analysis
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Analytes Analyzed in: | Supernatant | Cell Lysate | |||||||
---|---|---|---|---|---|---|---|---|---|
Comparison between experimental groups | E17K | KO | E17K | KO | WT | E17K | E17K | KO | E17K |
WT | WT | KO | fresh media | fresh media | fresh media | WT | WT | KO | |
Significance Thresholds | |||||||||
p < 0.1 | 22 | 23 | 34 | 39 | 38 | 35 | 51 | 39 | 63 |
p < 0.05 | 15 | 12 | 15 | 31 | 28 | 32 | 39 | 29 | 39 |
p < 0.01 | 4 | 3 | 7 | 22 | 20 | 21 | 21 | 12 | 15 |
Analytes Analyzed in: | Supernatant | Cell Lysate | |||||||
---|---|---|---|---|---|---|---|---|---|
Comparison between experimental groups | E17K | KO | E17K | KO | WT | E17K | E17K | KO | E17K |
WT | WT | KO | Fresh media | Fresh media | Fresh media | WT | WT | KO | |
ONTOLOGY | number of significantly changed analytes | ||||||||
Amino acids | 4 | 1 | 1 | 6 | 6 | 6 | 1 | 2 | 7 |
Amino acids related | 0 | 1 | 1 | 4 | 3 | 4 | 0 | 0 | 0 |
Carbohydrates and related | 3 | 4 | 2 | 4 | 4 | 6 | 0 | 0 | 0 |
Complex lipids, fatty acids and related | 3 | 1 | 0 | 0 | 0 | 2 | 13 | 8 | 11 |
Energy metabolism and related | 1 | 1 | 1 | 2 | 3 | 2 | 0 | 0 | 2 |
Hormones, signal substances and related | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 |
Miscellaneous | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 |
Nucleobases and related | 0 | 0 | 0 | 3 | 3 | 3 | 0 | 0 | 0 |
Unknown | 4 | 4 | 9 | 10 | 8 | 7 | 24 | 18 | 15 |
Vitamins, cofactors and related | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 2 |
Total number of analytes | 15 | 12 | 15 | 31 | 28 | 32 | 39 | 29 | 39 |
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Roudnicky, F.; Lan, Y.; Friesen, M.; Dernick, G.; Zhang, J.D.; Staempfli, A.; Bordag, N.; Wagner-Golbs, A.; Christensen, K.; Ebeling, M.; et al. Modeling the Effects of Severe Metabolic Disease by Genome Editing of hPSC-Derived Endothelial Cells Reveals an Inflammatory Phenotype. Int. J. Mol. Sci. 2019, 20, 6201. https://doi.org/10.3390/ijms20246201
Roudnicky F, Lan Y, Friesen M, Dernick G, Zhang JD, Staempfli A, Bordag N, Wagner-Golbs A, Christensen K, Ebeling M, et al. Modeling the Effects of Severe Metabolic Disease by Genome Editing of hPSC-Derived Endothelial Cells Reveals an Inflammatory Phenotype. International Journal of Molecular Sciences. 2019; 20(24):6201. https://doi.org/10.3390/ijms20246201
Chicago/Turabian StyleRoudnicky, Filip, Yanjun Lan, Max Friesen, Gregor Dernick, Jitao David Zhang, Andreas Staempfli, Natalie Bordag, Antje Wagner-Golbs, Klaus Christensen, Martin Ebeling, and et al. 2019. "Modeling the Effects of Severe Metabolic Disease by Genome Editing of hPSC-Derived Endothelial Cells Reveals an Inflammatory Phenotype" International Journal of Molecular Sciences 20, no. 24: 6201. https://doi.org/10.3390/ijms20246201