Measuring Glycolytic and Mitochondrial Fluxes in Endothelial Cells Using Radioactive Tracers.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 14 10 2018
pubmed: 14 10 2018
medline: 7 6 2019
Statut: ppublish

Résumé

Endothelial cells (ECs) form the inner lining of the vascular network. Although they can remain quiescent for years, ECs exhibit high plasticity in both physiological and pathological conditions, when they need to rapidly form new blood vessels in a process called angiogenesis. EC metabolism recently emerged as an important driver of this angiogenic switch. The use of radioactive tracer substrates to assess metabolic flux rates in ECs has been essential for the discovery that fatty acid, glucose, and glutamine metabolism critically contribute to vessel sprouting. In the future, these assays will be useful as a tool for the characterization of pathological conditions in which deregulation of EC metabolism underlies and/or precedes the disease, but also for the identification of anti-angiogenic metabolic targets. This chapter describes in detail the radioactive tracer substrate assays that have been used for the determination of EC metabolic flux in vitro.

Identifiants

pubmed: 30315464
doi: 10.1007/978-1-4939-8769-6_9
doi:

Substances chimiques

Fatty Acids 0
Radioactive Tracers 0
Glutamine 0RH81L854J
Tritium 10028-17-8
Glucose IY9XDZ35W2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

121-136

Auteurs

Koen Veys (K)

Laboratory of Angiogenesis and Vascular Metabolism, VIB Center for Cancer Biology, VIB, Leuven, Belgium.
Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology, KU Leuven, Leuven, Belgium.

Abdiel Alvarado-Diaz (A)

Laboratory of Exercise and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Katrien De Bock (K)

Laboratory of Exercise and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland. katrien-debock@ethz.ch.

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Classifications MeSH