001     143679
005     20240229112603.0
024 7 _ |a 10.1016/j.cmet.2019.04.004
|2 doi
024 7 _ |a pmid:31056285
|2 pmid
024 7 _ |a 1550-4131
|2 ISSN
024 7 _ |a 1932-7420
|2 ISSN
024 7 _ |a altmetric:59831080
|2 altmetric
037 _ _ |a DKFZ-2019-01253
041 _ _ |a eng
082 _ _ |a 570
100 1 _ |a Duman, Aset Ceren
|0 P:(DE-He78)f6dee6ab99c48e6c77bd0817628c3f71
|b 0
|e First author
|u dkfz
245 _ _ |a Acyl-CoA-Binding Protein Drives Glioblastoma Tumorigenesis by Sustaining Fatty Acid Oxidation.
260 _ _ |a Cambridge, Mass.
|c 2019
|b Cell Press
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 1566565007_30392
|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
520 _ _ |a Glioblastoma multiforme (GBM) undergoes metabolic reprogramming to meet the high ATP and anabolic demands of the tumor cells. However, the role of fatty acid oxidation (FAO) and its regulators in the GBM context has been largely unknown. Here, we show that the neural stem cell pro-proliferative factor acyl-CoA-binding protein (ACBP, also known as DBI) is highly expressed in GBM, and by binding to acyl-CoAs, it cell-autonomously maintains high proliferation rates, promoting tumor growth and poor survival in several preclinical models. Mechanistic experiments using ACBP-acyl-CoA binding affinity variants and pharmacological FAO modulators suggest that ACBP supports tumor growth by controlling the availability of long-chain fatty acyl-CoAs to mitochondria, promoting FAO in GBM. Thus, our findings uncover a critical link between lipid metabolism and GBM progression established by ACBP and offer a potential therapeutic strategy for an effective anti-proliferative metabolic management of GBM.
536 _ _ |a 311 - Signalling pathways, cell and tumor biology (POF3-311)
|0 G:(DE-HGF)POF3-311
|c POF3-311
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Yaqubi, Kaneschka
|0 P:(DE-He78)5b864248a2d378013c80cd8fcacb0629
|b 1
|u dkfz
700 1 _ |a Hoffmann, Angelika
|b 2
700 1 _ |a Acikgöz, Azer Aylin
|0 P:(DE-He78)7063389c6358eac8cf4cfed06bfde7b1
|b 3
|u dkfz
700 1 _ |a Korshunov, Andrey
|b 4
700 1 _ |a Bendszus, Martin
|b 5
700 1 _ |a Herold-Mende, Christel
|b 6
700 1 _ |a Liu, Hai-Kun
|0 P:(DE-He78)76aeb2431f7458c9261e69c5420390c6
|b 7
|u dkfz
700 1 _ |a Alfonso, Julieta
|0 P:(DE-He78)3f128e570b3a9009d7b52a0523af43dd
|b 8
|e Last author
|u dkfz
773 _ _ |a 10.1016/j.cmet.2019.04.004
|g p. S1550413119301883
|0 PERI:(DE-600)2174469-5
|n 2
|p 274-289.e5
|t Cell metabolism
|v 30
|y 2019
|x 1550-4131
909 C O |o oai:inrepo02.dkfz.de:143679
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)f6dee6ab99c48e6c77bd0817628c3f71
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)5b864248a2d378013c80cd8fcacb0629
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)7063389c6358eac8cf4cfed06bfde7b1
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)76aeb2431f7458c9261e69c5420390c6
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)3f128e570b3a9009d7b52a0523af43dd
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-311
|2 G:(DE-HGF)POF3-300
|v Signalling pathways, cell and tumor biology
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2019
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CELL METAB : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF >= 20
|0 StatID:(DE-HGF)9920
|2 StatID
|b CELL METAB : 2017
920 1 _ |0 I:(DE-He78)A231-20160331
|k A231
|l AG Alfonso
|x 0
920 1 _ |0 I:(DE-He78)A230-20160331
|k A230
|l Klinische Neurobiologie
|x 1
920 1 _ |0 I:(DE-He78)A240-20160331
|k A240
|l Molekulare Neurogenetik
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)A231-20160331
980 _ _ |a I:(DE-He78)A230-20160331
980 _ _ |a I:(DE-He78)A240-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21