Home > Publications database > Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer. > print |
001 | 292603 | ||
005 | 20250417100333.0 | ||
024 | 7 | _ | |a 10.1038/s42255-024-01118-4 |2 doi |
024 | 7 | _ | |a pmid:39251875 |2 pmid |
024 | 7 | _ | |a altmetric:167134255 |2 altmetric |
037 | _ | _ | |a DKFZ-2024-01829 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Buglakova, Elena |0 0009-0004-9100-314X |b 0 |
245 | _ | _ | |a Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer. |
260 | _ | _ | |a [London] |c 2024 |b Springer Nature |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1727267659_4397 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a DKFZ-ZMBH Alliance / #LA:A410# / 2024 Sep;6(9):1695-1711 |
520 | _ | _ | |a 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. |
536 | _ | _ | |a 311 - Zellbiologie und Tumorbiologie (POF4-311) |0 G:(DE-HGF)POF4-311 |c POF4-311 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
700 | 1 | _ | |a Ekelöf, Måns |0 0000-0002-0917-9540 |b 1 |
700 | 1 | _ | |a Schwaiger-Haber, Michaela |0 0000-0002-2715-753X |b 2 |
700 | 1 | _ | |a Schlicker, Lisa |0 P:(DE-He78)e52c8f6ae826320eaf2fb173e162070d |b 3 |u dkfz |
700 | 1 | _ | |a Molenaar, Martijn R |0 0000-0001-5221-608X |b 4 |
700 | 1 | _ | |a Shahraz, Mohammed |b 5 |
700 | 1 | _ | |a Stuart, Lachlan |b 6 |
700 | 1 | _ | |a Eisenbarth, Andreas |0 0000-0002-1113-9556 |b 7 |
700 | 1 | _ | |a Hilsenstein, Volker |0 0000-0002-2255-2960 |b 8 |
700 | 1 | _ | |a Patti, Gary J |0 0000-0002-3748-6193 |b 9 |
700 | 1 | _ | |a Schulze, Almut |0 P:(DE-He78)94ae391f53fb9285e1b68f9930615af1 |b 10 |e Last author |u dkfz |
700 | 1 | _ | |a Snaebjörnsson, Marteinn Thor |0 P:(DE-He78)7b7131e0870c28d432e48873d295460f |b 11 |e Last author |u dkfz |
700 | 1 | _ | |a Alexandrov, Theodore |0 0000-0001-9464-6125 |b 12 |
773 | _ | _ | |a 10.1038/s42255-024-01118-4 |0 PERI:(DE-600)2933873-6 |n 9 |p 1695-1711 |t Nature metabolism |v 6 |y 2024 |x 2522-5812 |
856 | 4 | _ | |u https://inrepo02.dkfz.de/record/292603/files/s42255-024-01118-4.pdf |
856 | 4 | _ | |u https://inrepo02.dkfz.de/record/292603/files/s42255-024-01118-4.pdf?subformat=pdfa |x pdfa |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:292603 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 3 |6 P:(DE-He78)e52c8f6ae826320eaf2fb173e162070d |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 10 |6 P:(DE-He78)94ae391f53fb9285e1b68f9930615af1 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 11 |6 P:(DE-He78)7b7131e0870c28d432e48873d295460f |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-311 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Zellbiologie und Tumorbiologie |x 0 |
914 | 1 | _ | |y 2024 |
915 | _ | _ | |a DEAL Nature |0 StatID:(DE-HGF)3003 |2 StatID |d 2023-08-19 |w ger |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NAT METAB : 2022 |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-08-19 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2023-08-19 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-19 |
915 | _ | _ | |a IF >= 20 |0 StatID:(DE-HGF)9920 |2 StatID |b NAT METAB : 2022 |d 2023-08-19 |
920 | 2 | _ | |0 I:(DE-He78)A410-20160331 |k A410 |l Metabolismus und Microenvironment |x 0 |
920 | 1 | _ | |0 I:(DE-He78)A410-20160331 |k A410 |l Metabolismus und Microenvironment |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)A410-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|