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@ARTICLE{Buglakova:292603,
      author       = {E. Buglakova and M. Ekelöf and M. Schwaiger-Haber and L.
                      Schlicker$^*$ and M. R. Molenaar and M. Shahraz and L.
                      Stuart and A. Eisenbarth and V. Hilsenstein and G. J. Patti
                      and A. Schulze$^*$ and M. T. Snaebjörnsson$^*$ and T.
                      Alexandrov},
      title        = {{S}patial single-cell isotope tracing reveals heterogeneity
                      of de novo fatty acid synthesis in cancer.},
      journal      = {Nature metabolism},
      volume       = {6},
      number       = {9},
      issn         = {2522-5812},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {DKFZ-2024-01829},
      pages        = {1695-1711},
      year         = {2024},
      note         = {DKFZ-ZMBH Alliance / #LA:A410# / 2024 Sep;6(9):1695-1711},
      abstract     = {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.},
      cin          = {A410},
      ddc          = {610},
      cid          = {I:(DE-He78)A410-20160331},
      pnm          = {311 - Zellbiologie und Tumorbiologie (POF4-311)},
      pid          = {G:(DE-HGF)POF4-311},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39251875},
      doi          = {10.1038/s42255-024-01118-4},
      url          = {https://inrepo02.dkfz.de/record/292603},
}