Online-Ressource | |
Verfasst von: | Mock, Andreas [VerfasserIn] |
Rapp, Carmen [VerfasserIn] | |
Warta, Rolf [VerfasserIn] | |
Abdollahi, Amir [VerfasserIn] | |
Jäger, Dirk [VerfasserIn] | |
Sakowitz, Oliver [VerfasserIn] | |
Brors, Benedikt [VerfasserIn] | |
Deimling, Andreas von [VerfasserIn] | |
Jungk, Christine [VerfasserIn] | |
Unterberg, Andreas [VerfasserIn] | |
Herold-Mende, Christel [VerfasserIn] | |
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 |