Reconstructed Metabolic Network Models Predict Flux-Level Metabolic Reprogramming in Glioblastoma
Developments in genome scale metabolic modeling techniques and omics technologies have enabled the reconstruction of context-specific metabolic models. In this study, glioblastoma multiforme (GBM), one of the most common and aggressive malignant brain tumors, is investigated by mapping GBM gene expr...
Main Authors: | Emrah eOzcan, Tunahan eCakir |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2016-04-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00156/full |
Similar Items
-
Identification of four metabolic subtypes and key prognostic markers in lung adenocarcinoma based on glycolytic and glutaminolytic pathways
by: Jinjin Zhang, et al.
Published: (2023-02-01) -
Metabolic management of microenvironment acidity in glioblastoma
by: Thomas N. Seyfried, et al.
Published: (2022-08-01) -
Metabolic Reprogramming of Glioblastoma Cells during HCMV Infection Induces Secretome-Mediated Paracrine Effects in the Microenvironment
by: Mark A. A. Harrison, et al.
Published: (2022-01-01) -
Hallmarks of Metabolic Reprogramming and Their Role in Viral Pathogenesis
by: Charles N. S. Allen, et al.
Published: (2022-03-01) -
Metabolic Reprogramming in Thyroid Carcinoma
by: Raquel Guimaraes Coelho, et al.
Published: (2018-03-01)