Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer
While heterogeneity is a key feature of cancer, understanding metabolic heterogeneity at the single-cell level remains a challenge. Here we present 13C-SpaceM, a method for spatial single-cell isotope tracing that extends the previously published SpaceM method with detection of 13C6-glucose-derived...
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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
09 September 2024
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| In: |
Nature metabolism
Year: 2024, Volume: 6, Issue: 9, Pages: 1695-1711 |
| ISSN: | 2522-5812 |
| DOI: | 10.1038/s42255-024-01118-4 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s42255-024-01118-4 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s42255-024-01118-4 |
| Author Notes: | Elena Buglakova, Måns Ekelöf, Michaela Schwaiger-Haber, Lisa Schlicker, Martijn R. Molenaar, Mohammed Shahraz, Lachlan Stuart, Andreas Eisenbarth, Volker Hilsenstein, Gary J. Patti, Almut Schulze, Marteinn T. Snaebjornsson & Theodore Alexandrov |
| Summary: | While heterogeneity is a key feature of cancer, understanding metabolic heterogeneity at the single-cell level remains a challenge. Here we present 13C-SpaceM, a method for spatial single-cell isotope tracing that extends the previously published SpaceM method with detection of 13C6-glucose-derived carbons in esterified fatty acids. We validated 13C-SpaceM on spatially heterogeneous models using liver cancer cells subjected to either normoxia-hypoxia or ATP citrate lyase depletion. This revealed substantial single-cell heterogeneity in labelling of the lipogenic acetyl-CoA pool and in relative fatty acid uptake versus synthesis hidden in bulk analyses. Analysing tumour-bearing brain tissue from mice fed a 13C6-glucose-containing diet, we found higher glucose-dependent synthesis of saturated fatty acids and increased elongation of essential fatty acids in tumours compared with healthy brains. Furthermore, our analysis uncovered spatial heterogeneity in lipogenic acetyl-CoA pool labelling in tumours. Our method enhances spatial probing of metabolic activities in single cells and tissues, providing insights into fatty acid metabolism in homoeostasis and disease. |
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| Item Description: | Gesehen am 07.03.2025 |
| Physical Description: | Online Resource |
| ISSN: | 2522-5812 |
| DOI: | 10.1038/s42255-024-01118-4 |