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Verfasst von:Mock, Andreas [VerfasserIn]   i
 Rapp, Carmen [VerfasserIn]   i
 Warta, Rolf [VerfasserIn]   i
 Abdollahi, Amir [VerfasserIn]   i
 Jäger, Dirk [VerfasserIn]   i
 Sakowitz, Oliver [VerfasserIn]   i
 Brors, Benedikt [VerfasserIn]   i
 Deimling, Andreas von [VerfasserIn]   i
 Jungk, Christine [VerfasserIn]   i
 Unterberg, Andreas [VerfasserIn]   i
 Herold-Mende, Christel [VerfasserIn]   i
Titel:Impact of post-surgical freezing delay on brain tumor metabolomics
Verf.angabe:Andreas Mock, Carmen Rapp, Rolf Warta, Amir Abdollahi, Dirk Jäger, Oliver Sakowitz, Benedikt Brors, Andreas von Deimling, Christine Jungk, Andreas Unterberg, Christel Herold-Mende
E-Jahr:2019
Jahr:13 May 2019
Umfang:8 S.
Fussnoten:Gesehen am 16.09.2019
Titel Quelle:Enthalten in: Metabolomics
Ort Quelle:Berlin : Springer, 2005
Jahr Quelle:2019
Band/Heft Quelle:15(2019,5) Artikel-Nummer 78, 8 Seiten
ISSN Quelle:1573-3890
Abstract:Introduction: Translational cancer research has seen an increasing interest in metabolomic profiling to decipher tumor phenotypes. However, the impact of post-surgical freezing delays on mass spectrometric metabolomic measurements of the cancer tissue remains elusive. Objectives: To evaluate the impact of post-surgical freezing delays on cancer tissue metabolomics and to investigate changes per metabolite and per metabolic pathway. Methods: We performed untargeted metabolomics on three cortically located and bulk-resected glioblastoma tissues that were sequentially frozen as duplicates at up to six different time delays (0-180 min, 34 samples). Results: Statistical modelling revealed that 10% of the metabolome (59 of 597 metabolites) changed significantly after a 3 h delay. While carbohydrates and energy metabolites decreased, peptides and lipids increased. After a 2 h delay, these metabolites had changed by as much as 50-100%. We present the first list of metabolites in glioblastoma tissues that are sensitive to post-surgical freezing delays and offer the opportunity to define individualized fold change thresholds for future comparative metabolomic studies. Conclusion: More researchers should take these pre-analytical factors into consideration when analyzing metabolomic data. We present a strategy for how to work with metabolites that are sensitive to freezing delays.
DOI:doi:10.1007/s11306-019-1541-2
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1007/s11306-019-1541-2
 DOI: https://doi.org/10.1007/s11306-019-1541-2
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:MetaboDiff
 Metabolome
 Quenching
 Snap-frozen
K10plus-PPN:1677122498
Verknüpfungen:→ Zeitschrift

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