Reconstructed Metabolic Network Models Predict Flux-Level Metabolic Reprogramming in Glioblastoma
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reconstructed Metabolic Network Models Predict Flux-Level Metabolic Reprogramming in Glioblastoma
Authors
Keywords
-
Journal
Frontiers in Neuroscience
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2016-04-18
DOI
10.3389/fnins.2016.00156
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modeling cancer metabolism on a genome scale
- (2015) K. Yizhak et al. Molecular Systems Biology
- Metabolic pathways promoting cancer cell survival and growth
- (2015) Lindsey K. Boroughs et al. NATURE CELL BIOLOGY
- Growth dynamics of untreated glioblastomas in vivo
- (2015) Anne Line Stensjøen et al. NEURO-ONCOLOGY
- PathVisio 3: An Extendable Pathway Analysis Toolbox
- (2015) Martina Kutmon et al. PLoS Computational Biology
- Cancer Metabolism: A Modeling Perspective
- (2015) Pouyan Ghaffari et al. Frontiers in Physiology
- Targeting Metabolic Remodeling in Glioblastoma Multiforme
- (2015) Oncotarget
- Recent advances in the reconstruction of metabolic models and integration of omics data
- (2014) Rajib Saha et al. CURRENT OPINION IN BIOTECHNOLOGY
- The role of flexibility and optimality in the prediction of intracellular fluxes of microbial central carbon metabolism
- (2014) Fatih Tarlak et al. Molecular BioSystems
- Reconstruction of a generic metabolic network model of cancer cells
- (2014) Mahdieh Hadi et al. Molecular BioSystems
- Constraint-based models predict metabolic and associated cellular functions
- (2014) Aarash Bordbar et al. NATURE REVIEWS GENETICS
- A neurocentric perspective on glioma invasion
- (2014) Vishnu Anand Cuddapah et al. NATURE REVIEWS NEUROSCIENCE
- optGpSampler: An Improved Tool for Uniformly Sampling the Solution-Space of Genome-Scale Metabolic Networks
- (2014) Wout Megchelenbrink et al. PLoS One
- Systematic Evaluation of Methods for Integration of Transcriptomic Data into Constraint-Based Models of Metabolism
- (2014) Daniel Machado et al. PLoS Computational Biology
- Systematic analysis of transcription-level effects of neurodegenerative diseases on human brain metabolism by a newly reconstructed brain-specific metabolic network
- (2014) Mustafa Sertbaş et al. FEBS Open Bio
- Genome-scale modeling of human metabolism - a systems biology approach
- (2013) Adil Mardinoglu et al. Biotechnology Journal
- Glioblastoma and Other Malignant Gliomas
- (2013) Antonio Omuro JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2006-2010
- (2013) Q. T. Ostrom et al. NEURO-ONCOLOGY
- Gene Expression Profile of Glioblastoma Peritumoral Tissue: An Ex Vivo Study
- (2013) Annunziato Mangiola et al. PLoS One
- Inferring Metabolic States in Uncharacterized Environments Using Gene-Expression Measurements
- (2013) Sergio Rossell et al. PLoS Computational Biology
- Tumor Metabolism of Malignant Gliomas
- (2013) Peng Ru et al. Cancers
- Glioblastoma: Molecular Analysis and Clinical Implications
- (2012) Jason T. Huse et al. Annual Review of Medicine
- Integration of time-resolved transcriptomics data with flux-based methods reveals stress-induced metabolic adaptation in Escherichia coli
- (2012) Nadine Töpfer et al. BMC Systems Biology
- Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE
- (2012) Yuliang Wang et al. BMC Systems Biology
- The Metabolomic Signature of Malignant Glioma Reflects Accelerated Anabolic Metabolism
- (2012) P. Chinnaiyan et al. CANCER RESEARCH
- Analysis of Tumor Metabolism Reveals Mitochondrial Glucose Oxidation in Genetically Diverse Human Glioblastomas in the Mouse Brain In Vivo
- (2012) Isaac Marin-Valencia et al. Cell Metabolism
- Emerging insights into the molecular and cellular basis of glioblastoma
- (2012) G. P. Dunn et al. GENES & DEVELOPMENT
- Metabolism of [U-13C]glucose in human brain tumorsin vivo
- (2012) Elizabeth A. Maher et al. NMR IN BIOMEDICINE
- Resveratrol Inhibits Cancer Cell Metabolism by Down Regulating Pyruvate Kinase M2 via Inhibition of Mammalian Target of Rapamycin
- (2012) Mohd Askandar Iqbal et al. PLoS One
- Dedifferentiation of Neurons and Astrocytes by Oncogenes Can Induce Gliomas in Mice
- (2012) D. Friedmann-Morvinski et al. SCIENCE
- Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review)
- (2012) JIE ZHENG Oncology Letters
- Reconstruction of Genome-Scale Active Metabolic Networks for 69 Human Cell Types and 16 Cancer Types Using INIT
- (2012) Rasmus Agren et al. PLoS Computational Biology
- Temporal Expression-based Analysis of Metabolism
- (2012) Sara B. Collins et al. PLoS Computational Biology
- RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
- (2012) Joonhoon Kim et al. GENOME BIOLOGY
- Integration of expression data in genome-scale metabolic network reconstructions
- (2012) Anna S. Blazier et al. Frontiers in Physiology
- TIGER: Toolbox for integrating genome-scale metabolic models, expression data, and transcriptional regulatory networks
- (2011) Paul A Jensen et al. BMC Systems Biology
- Recent advances in reconstruction and applications of genome-scale metabolic models
- (2011) Tae Yong Kim et al. CURRENT OPINION IN BIOTECHNOLOGY
- Predicting selective drug targets in cancer through metabolic networks
- (2011) O. Folger et al. Molecular Systems Biology
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
- (2011) Jan Schellenberger et al. Nature Protocols
- Genome-Scale Metabolic Modeling Elucidates the Role of Proliferative Adaptation in Causing the Warburg Effect
- (2011) Tomer Shlomi et al. PLoS Computational Biology
- Functional integration of a metabolic network model and expression data without arbitrary thresholding
- (2010) Paul A. Jensen et al. BIOINFORMATICS
- Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
- (2010) Roel G.W. Verhaak et al. CANCER CELL
- What is flux balance analysis?
- (2010) Jeffrey D Orth et al. NATURE BIOTECHNOLOGY
- Magnetic Resonance Imaging Characteristics of Glioblastoma Multiforme: Implications for Understanding Glioma Ontogeny
- (2010) Leif-Erik Bohman et al. NEUROSURGERY
- Probabilistic integrative modeling of genome-scale metabolic and regulatory networks inEscherichia coliandMycobacterium tuberculosis
- (2010) Sriram Chandrasekaran et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Glioblastoma Cells Require Glutamate Dehydrogenase to Survive Impairments of Glucose Metabolism or Akt Signaling
- (2009) C. Yang et al. CANCER RESEARCH
- Prognostic Significance of Growth Kinetics in Newly Diagnosed Glioblastomas Revealed by Combining Serial Imaging with a Novel Biomathematical Model
- (2009) C. H. Wang et al. CANCER RESEARCH
- Predicting Metabolic Fluxes Using Gene Expression Differences As Constraints
- (2009) Rogier J P van Berlo et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain
- (2009) Frederico A.C. Azevedo et al. JOURNAL OF COMPARATIVE NEUROLOGY
- Interpreting Expression Data with Metabolic Flux Models: Predicting Mycobacterium tuberculosis Mycolic Acid Production
- (2009) Caroline Colijn et al. PLoS Computational Biology
- Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age
- (2008) Yohan Lee et al. BMC Medical Genomics
- Network-based prediction of human tissue-specific metabolism
- (2008) Tomer Shlomi et al. NATURE BIOTECHNOLOGY
- Myc regulates a transcriptional program that stimulates mitochondrial glutaminolysis and leads to glutamine addiction
- (2008) D. R. Wise et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Context-Specific Metabolic Networks Are Consistent with Experiments
- (2008) Scott A. Becker et al. PLoS Computational Biology
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started