Systematic investigation of metabolic reprogramming in different cancers based on tissue-specific metabolic models
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Jian Li | Ying Zhu | Zhuo Wang | Fangzhou Shen | Jian Li | Zhuo Wang | Fangzhou Shen | Yingxuan Zhu
[1] A. Mardinoğlu,et al. Systems medicine and metabolic modelling , 2012, Journal of internal medicine.
[2] Robert V Farese,et al. Cellular fatty acid metabolism and cancer. , 2013, Cell metabolism.
[3] Natapol Pornputtapong,et al. Reconstruction of Genome-Scale Active Metabolic Networks for 69 Human Cell Types and 16 Cancer Types Using INIT , 2012, PLoS Comput. Biol..
[4] Gabriela Kalna,et al. Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase , 2011, Nature.
[5] F. Pontén,et al. The Human Protein Atlas—a tool for pathology , 2008, The Journal of pathology.
[6] Cristina Bianchi,et al. Grade-Dependent Metabolic Reprogramming in Kidney Cancer Revealed by Combined Proteomics and Metabolomics Analysis. , 2015, Cancer research.
[7] Z. Oltvai,et al. Molecular Crowding Defines a Common Origin for the Warburg Effect in Proliferating Cells and the Lactate Threshold in Muscle Physiology , 2011, PloS one.
[8] Jens Nielsen,et al. Flux balance analysis predicts essential genes in clear cell renal cell carcinoma metabolism , 2015, Scientific Reports.
[9] V. Mootha,et al. Metabolite Profiling Identifies a Key Role for Glycine in Rapid Cancer Cell Proliferation , 2012, Science.
[10] L. Cantley,et al. Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation , 2009, Science.
[11] B. Matthews. Comparison of the predicted and observed secondary structure of T4 phage lysozyme. , 1975, Biochimica et biophysica acta.
[12] I. Nookaew,et al. Chromosome 3p loss of heterozygosity is associated with a unique metabolic network in clear cell renal carcinoma , 2014, Proceedings of the National Academy of Sciences.
[13] Giancarlo Mauri,et al. Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models , 2016, Comput. Biol. Chem..
[14] Yusuf A. Hannun,et al. Biologically active sphingolipids in cancer pathogenesis and treatment , 2004, Nature Reviews Cancer.
[15] Jeffrey D Orth,et al. What is flux balance analysis? , 2010, Nature Biotechnology.
[16] G. Balendiran,et al. The role of glutathione in cancer , 2004, Cell biochemistry and function.
[17] Monica L. Mo,et al. Global reconstruction of the human metabolic network based on genomic and bibliomic data , 2007, Proceedings of the National Academy of Sciences.
[18] Roded Sharan,et al. Genome-Scale Metabolic Modeling Elucidates the Role of Proliferative Adaptation in Causing the Warburg Effect , 2011, PLoS Comput. Biol..
[19] Mark Kester,et al. Dysregulation of sphingolipid metabolism in cancer , 2011, Cancer biology & therapy.
[20] O. Reséndis-Antonio,et al. Modeling Core Metabolism in Cancer Cells: Surveying the Topology Underlying the Warburg Effect , 2010, PloS one.
[21] Jan Schellenberger,et al. Use of Randomized Sampling for Analysis of Metabolic Networks* , 2009, Journal of Biological Chemistry.
[22] J. Locasale. Serine, glycine and one-carbon units: cancer metabolism in full circle , 2013, Nature Reviews Cancer.
[23] R. Weinshilboum,et al. Role of the glutathione metabolic pathway in lung cancer treatment and prognosis: a review. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[24] Eytan Ruppin,et al. Modeling cancer metabolism on a genome scale , 2015, Molecular systems biology.
[25] J. Gmiński,et al. Serum total cholesterol and triglycerides levels in patients with lung cancer. , 2000, International journal of molecular medicine.
[26] J. Menéndez,et al. Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis , 2007, Nature Reviews Cancer.
[27] Elmar Heinzle,et al. Metabolic flux analysis in eukaryotes. , 2010, Current opinion in biotechnology.
[28] Wei Liu,et al. The Proline Regulatory Axis and Cancer , 2012, Front. Oncol..
[29] B. Palsson,et al. A protocol for generating a high-quality genome-scale metabolic reconstruction , 2010 .
[30] Natapol Pornputtapong,et al. Human metabolic atlas: an online resource for human metabolism , 2015, Database J. Biol. Databases Curation.
[31] Ronan M. T. Fleming,et al. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 , 2007, Nature Protocols.
[32] Ying Zhang,et al. HMDB: the Human Metabolome Database , 2007, Nucleic Acids Res..
[33] I. Nookaew,et al. Integration of clinical data with a genome-scale metabolic model of the human adipocyte , 2013, Molecular systems biology.
[34] S. Bertini,et al. Inhibitors of lactate dehydrogenase isoforms and their therapeutic potentials. , 2010, Current medicinal chemistry.
[35] H. Patel,et al. Significance of Alterations in Plasma Lipid Profile Levels in Breast Cancer , 2008, Integrative cancer therapies.
[36] Bernhard O. Palsson,et al. Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways , 2015, PLoS Comput. Biol..
[37] Mohita Upadhyay,et al. The Warburg effect: insights from the past decade. , 2013, Pharmacology & therapeutics.
[38] Marcello Maggiolini,et al. Glycerophospholipid synthesis as a novel drug target against cancer. , 2011, Current molecular pharmacology.
[39] Jens Nielsen,et al. Sampling the Solution Space in Genome-Scale Metabolic Networks Reveals Transcriptional Regulation in Key Enzymes , 2010, PLoS Comput. Biol..