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 <sup>13</sup>C-SpaceM, a method for spatial single-cell isotope tracing that extends the previously published SpaceM method with detection of <sup>13</sup>C<sub>6</sub>-glucose-derived carbons in esterified fatty acids. We validated <sup>13</sup>C-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 <sup>13</sup>C<sub>6</sub>-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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Publication Details

Journal
Nature Metabolism
Published
2024-09-09
DOI
https://doi.org/10.1038/s42255-024-01118-4
Citations
47
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
10.99
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article

Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer

Martijn R. Molenaar, Volker Hilsenstein, Theodore Alexandrov, Gary J. Patti et al.
47 citations
Nature Metabolism
Metabolomics and Mass Spectrometry Studies
10.99
article

Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer

Martijn R. Molenaar, Volker Hilsenstein, Theodore Alexandrov, Gary J. Patti, Elena Buglakova, Andreas Eisenbarth, Mohammed Shahraz, Lisa Schlicker, Almut Schulze, Lachlan Stuart, Michaela Schwaiger-Haber, Marteinn T. Snaebjornsson, Måns Ekelöf
article en
47 citations

Abstract

While heterogeneity is a key feature of cancer, understanding metabolic heterogeneity at the single-cell level remains a challenge. Here we present <sup>13</sup>C-SpaceM, a method for spatial single-cell isotope tracing that extends the previously published SpaceM method with detection of <sup>13</sup>C<sub>6</sub>-glucose-derived carbons in esterified fatty acids. We validated <sup>13</sup>C-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 <sup>13</sup>C<sub>6</sub>-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.

Nature MetabolismVol. 6(9)
European Molecular Biology Organization (DE), German Cancer Research Center (DE), Washington University in St. Louis (US), Heidelberg University (DE), UC San Diego Health System (US), University of California San Diego (US), La Jolla Bioengineering Institute (US), European Molecular Biology Laboratory (DE), BioInnovation Institute (DK), DKFZ-ZMBH Alliance (DE), European Molecular Biology Laboratory (DE)
Openalex Percentile: Top 1%
Metabolomics and Mass Spectrometry Studies
10.99
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