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Functional proteomics of breast cancer metabolism identifies GLUL as responder during hypoxic adaptation

Hypoxia as well as metabolism are central hallmarks of cancer, and hypoxia-inducible factors (HIFs) and metabolic effectors are crucial elements in oxygen-compromised tumor environments. Knowledge of changes in the expression of metabolic proteins in response to HIF function could provide mechanisti...

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Hauptverfasser: Bernhardt, Stephan (VerfasserIn) , Müller-Decker, Karin (VerfasserIn) , Wiemann, Stefan (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: January 4, 2019
In: Journal of proteome research
Year: 2019, Jahrgang: 18, Heft: 3, Pages: 1352-1362
ISSN:1535-3907
DOI:10.1021/acs.jproteome.8b00944
Online-Zugang:Verlag, Volltext: https://doi.org/10.1021/acs.jproteome.8b00944
Volltext
Verfasserangaben:Stephan Bernhardt, Christian Tönsing, Devina Mitra, Nese Erdem, Karin Müller-Decker, Ulrike Korf, Clemens Kreutz, Jens Timmer, and Stefan Wiemann
Beschreibung
Zusammenfassung:Hypoxia as well as metabolism are central hallmarks of cancer, and hypoxia-inducible factors (HIFs) and metabolic effectors are crucial elements in oxygen-compromised tumor environments. Knowledge of changes in the expression of metabolic proteins in response to HIF function could provide mechanistic insights into adaptation to hypoxic stress, tumorigenesis, and disease progression. We analyzed time-resolved alterations in metabolism-associated protein levels in response to different oxygen potentials across breast cancer cell lines. Effects on the cellular metabolism of both HIF-dependent and -independent processes were analyzed by reverse-phase protein array profiling and a custom statistical model. We revealed a strong induction of glucose transporter 1 (GLUT1) and lactate dehydrogenase A (LDHA) as well as reduced glutamate-ammonia ligase (GLUL) protein levels across all cell lines tested as consistent changes upon hypoxia induction. Low GLUL protein levels were correlated with aggressive molecular subtypes in breast cancer patient data sets and also with hypoxic tumor regions in a xenograft mouse tumor model. Moreover, low GLUL expression was associated with poor survival in breast cancer patients and with high HIF-1α-expressing patient subgroups. Our data reveal time-resolved changes in the regulation of metabolic proteins under oxygen-deprived conditions and elucidate GLUL as a strong responder to HIFs and the hypoxic environment.
Beschreibung:Gesehen am 14.05.2019
Beschreibung:Online Resource
ISSN:1535-3907
DOI:10.1021/acs.jproteome.8b00944

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