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Volumn 1386, Issue , 2016, Pages 253-281

Computational modeling of human metabolism and its application to systems biomedicine

(2)  Aurich, Maike K a   Thiele, Ines a  

a NONE

Author keywords

Cancer metabolism; COBRA; Constraint based modeling; Flux balance analysis; Human disease; Metabolomics; OMICS; Personalized health; Personalized models; Systems biology

Indexed keywords

BIOMEDICINE; BIOMICS; HUMAN; HUMAN GENOME; INBORN ERROR OF METABOLISM; KNOWLEDGE BASE; MATHEMATICAL COMPUTING; METABOLISM; OBESITY; BIOLOGICAL MODEL; BIOLOGY; DIET THERAPY; MEDICINE; METABOLOMICS; NEOPLASM; PERSONALIZED MEDICINE; PROCEDURES; SYSTEMS BIOLOGY;

EID: 84950258683     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4939-3283-2_12     Document Type: Chapter
Times cited : (27)

References (117)
  • 2
    • 84867843623 scopus 로고    scopus 로고
    • Modeling formalisms in systems biology
    • Machado D, Costa R, Rocha M et al (2011) Modeling formalisms in systems biology. AMB Express 1:45
    • (2011) AMB Express , vol.1 , pp. 45
    • Machado, D.1    Costa, R.2    Rocha, M.3
  • 3
    • 57549102595 scopus 로고    scopus 로고
    • Genome-scale models of bacterial metabolism: Reconstruction and applications
    • Durot M, Bourguignon PY, Schachter V (2009) Genome-scale models of bacterial metabolism: reconstruction and applications. FEMS Microbiol Rev 33:164-190
    • (2009) FEMS Microbiol Rev , vol.33 , pp. 164-190
    • Durot, M.1    Bourguignon, P.Y.2    Schachter, V.3
  • 5
    • 84870853302 scopus 로고    scopus 로고
    • Contextualization procedure and modeling of monocyte specific TLR signaling
    • Aurich MK, Thiele I (2012) Contextualization procedure and modeling of monocyte specific TLR signaling. PLoS One 7:e49978
    • (2012) Plos One , vol.7
    • Aurich, M.K.1    Thiele, I.2
  • 6
    • 61449134182 scopus 로고    scopus 로고
    • Identification of potential pathway mediation targets in toll-like receptor signaling
    • Li F, Thiele I, Jamshidi N, Palsson BO (2009) Identification of potential pathway mediation targets in toll-like receptor signaling. PLoS Comput Biol 5:e1000292
    • (2009) Plos Comput Biol , vol.5
    • Li, F.1    Thiele, I.2    Jamshidi, N.3    Palsson, B.O.4
  • 7
    • 3042816965 scopus 로고    scopus 로고
    • The JAK-STAT signaling network in the human B-cell: An extreme signaling pathway analysis
    • Papin JA, Palsson BO (2004) The JAK-STAT signaling network in the human B-cell: an extreme signaling pathway analysis. Biophys J 87:37-46
    • (2004) Biophys J , vol.87 , pp. 37-46
    • Papin, J.A.1    Palsson, B.O.2
  • 8
    • 63549148162 scopus 로고    scopus 로고
    • Genome-scale reconstruction of Escherichia colt's transcriptional and translational machinery: A knowledge base, its mathematical formulation, and its functional characterization
    • Thiele I, Jamshidi N, Fleming RMT et al (2009) Genome-scale reconstruction of Escherichia colt's transcriptional and translational machinery: a knowledge base, its mathematical formulation, and its functional characterization. PLoS Comput Biol 5:e1000312
    • (2009) Plos Comput Biol , vol.5
    • Thiele, I.1    Jamshidi, N.2    Fleming, R.3
  • 9
    • 79960126760 scopus 로고    scopus 로고
    • Thiele I (2011) rBioNet: A COBRA toolbox extension for reconstructing high-quality biochemical networks
    • Thorleifsson SG, Thiele I (2011) rBioNet: a COBRA toolbox extension for reconstructing high-quality biochemical networks. Bioinformatics 27:2009-2010
    • Bioinformatics , vol.27 , pp. 2009-2010
    • Thorleifsson, S.G.1
  • 10
    • 79551662521 scopus 로고    scopus 로고
    • Quantitative prediction of cellular metabolism with constraint-based models: The COBRA Toolbox v2.0
    • Schellenberger J, Que R, Fleming RMT et al (2011) Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0. Nat Protoc 6:1290-1307
    • (2011) Nat Protoc , vol.6 , pp. 1290-1307
    • Schellenberger, J.1    Que, R.2    Fleming, R.3
  • 11
    • 75149129569 scopus 로고    scopus 로고
    • A protocol for generating a high-quality genome-scale metabolic reconstruction
    • Thiele I, Palsson B0 (2010) A protocol for generating a high-quality genome-scale metabolic reconstruction. Nat Protoc 5:93-121
    • (2010) Nat Protoc , vol.5 , pp. 93-121
    • Thiele, I.1    Bo, P.2
  • 12
    • 31144435316 scopus 로고    scopus 로고
    • Towards multidimensional genome annotation
    • Reed JL, Famili I, Thiele I et al (2006) Towards multidimensional genome annotation. Nat Rev Genet 7:130-141
    • (2006) Nat Rev Genet , vol.7 , pp. 130-141
    • Reed, J.L.1    Famili, I.2    Thiele, I.3
  • 13
    • 84878949529 scopus 로고    scopus 로고
    • Predicting the impact of diet and enzymopathies on human small intestinal epithelial cells
    • Sahoo S, Thiele I (2013) Predicting the impact of diet and enzymopathies on human small intestinal epithelial cells. Hum Mol Genet 22:2705-2722
    • (2013) Hum Mol Genet , vol.22 , pp. 2705-2722
    • Sahoo, S.1    Thiele, I.2
  • 14
    • 79959621970 scopus 로고    scopus 로고
    • Predicting selective drug targets in cancer through metabolic networks
    • Folger O, Jerby L, Frezza C et al (2011) Predicting selective drug targets in cancer through metabolic networks. Mol Syst Biol 7:501
    • (2011) Mol Syst Biol , vol.7 , pp. 501
    • Folger, O.1    Jerby, L.2    Frezza, C.3
  • 16
    • 0028108519 scopus 로고
    • Metabolic flux balancing: Basic concepts, scientific and practical use
    • Varma A, Palsson BO (1994) Metabolic flux balancing: basic concepts, scientific and practical use. Nat Biotech 12:994-998
    • (1994) Nat Biotech , vol.12 , pp. 994-998
    • Varma, A.1    Palsson, B.O.2
  • 18
    • 84930373777 scopus 로고    scopus 로고
    • Prediction of intracellular metabolic states from extracellular metabolomic data
    • Aurich M, Paglia G, Rolfsson Ó et al (2015) Prediction of intracellular metabolic states from extracellular metabolomic data. Metabolomics 11:603-619
    • (2015) Metabolomics , vol.11 , pp. 603-619
    • Aurich, M.1    Paglia, G.2    Rolfsson, Ó.3
  • 19
    • 84858439602 scopus 로고    scopus 로고
    • Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods
    • Lewis NE, Nagarajan H, Palsson BO (2012) Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods. Nat Rev Microbiol 10:291-305
    • (2012) Nat Rev Microbiol , vol.10 , pp. 291-305
    • Lewis, N.E.1    Nagarajan, H.2    Palsson, B.O.3
  • 20
    • 0026516223 scopus 로고
    • Network analysis of intermediary metabolism using linear optimization. I. Development of mathematical formalism
    • Savinell JM, Palsson BO (1992) Network analysis of intermediary metabolism using linear optimization. I. Development of mathematical formalism. J Theor Biol 154:421-454
    • (1992) J Theor Biol , vol.154 , pp. 421-454
    • Savinell, J.M.1    Palsson, B.O.2
  • 21
    • 4544288672 scopus 로고    scopus 로고
    • Reconstruction and functional characterization of the human mitochondrial metabolic network based on proteomic and biochemical data
    • Vo TD, Greenberg HJ, Palsson B0 (2004) Reconstruction and functional characterization of the human mitochondrial metabolic network based on proteomic and biochemical data. J Biol Chem 279:39532-39540
    • (2004) J Biol Chem , vol.279 , pp. 39532-39540
    • Vo, T.D.1    Greenberg, H.J.2    Bo, P.3
  • 23
    • 84874562089 scopus 로고    scopus 로고
    • Systems biology of cancer: Moving toward the integrative study of the metabolic alterations in cancer cells
    • Hernandez Patino CE, Jaime-Munoz G, Resendis-Antonio O (2013) Systems biology of cancer: moving toward the integrative study of the metabolic alterations in cancer cells. Front Physiol 3:481
    • (2013) Front Physiol , vol.3 , pp. 481
    • Hernandez Patino, C.E.1    Jaime-Munoz, G.2    Resendis-Antonio, O.3
  • 24
    • 33846910173 scopus 로고    scopus 로고
    • Global reconstruction of the human metabolic network based on genomic and bibliomic data
    • Duarte NC, Becker SA, Jamshidi N et al (2007) Global reconstruction of the human metabolic network based on genomic and bibliomic data. PNAS 104:1777-1782
    • (2007) PNAS , vol.104 , pp. 1777-1782
    • Duarte, N.C.1    Becker, S.A.2    Jamshidi, N.3
  • 25
    • 84877315835 scopus 로고    scopus 로고
    • A community-driven global reconstruction of human metabolism
    • Thiele I, Swainston N, Fleming RMT et al (2013) A community-driven global reconstruction of human metabolism. Nat Biotechnol 31:419-425
    • (2013) Nat Biotechnol , vol.31 , pp. 419-425
    • Thiele, I.1    Swainston, N.2    Fleming, R.3
  • 26
    • 80054969621 scopus 로고    scopus 로고
    • A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology
    • Bordbar A, Feist AM, Usaite-Black R et al (2011) A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology. BMC Syst Biol 5:180
    • (2011) BMC Syst Biol , vol.5 , pp. 180
    • Bordbar, A.1    Feist, A.M.2    Usaite-Black, R.3
  • 27
    • 15844387127 scopus 로고    scopus 로고
    • Candidate metabolic network states in human mitochondria. Impact of diabetes, ischemia, and diet
    • Thiele I, Price ND, Vo TD et al (2005) Candidate metabolic network states in human mitochondria. Impact of diabetes, ischemia, and diet. J Biol Chem 280:11683-11695
    • (2005) J Biol Chem , vol.280 , pp. 11683-11695
    • Thiele, I.1    Price, N.D.2    Vo, T.D.3
  • 28
    • 78049304837 scopus 로고    scopus 로고
    • Sampling the solution space in genome-scale metabolic networks reveals transcriptional regulation in key enzymes
    • Bordel S, Agren R, Nielsen J (2010) Sampling the solution space in genome-scale metabolic networks reveals transcriptional regulation in key enzymes. PLoS Comput Biol 6:e1000859
    • (2010) Plos Comput Biol , vol.6
    • Bordel, S.1    Agren, R.2    Nielsen, J.3
  • 29
    • 77955150383 scopus 로고    scopus 로고
    • Metabolic systems biology: A constraint-based approach
    • Chapter 329, 5535-5552, Springer, New York
    • Lewis NE, Jamshidi N, Thiele I et al (2009) Metabolic systems biology: a constraint-based approach. In: Encyclopedia of complexity and system science. Chapter 329, 5535-5552, Springer, New York, ISBN 978-0-387-75888-6
    • (2009) Encyclopedia of Complexity and System Science
    • Lewis, N.E.1    Jamshidi, N.2    Thiele, I.3
  • 30
    • 77958537509 scopus 로고    scopus 로고
    • Insight into human alveolar macrophage and M. Tuberculosis interactions via metabolic reconstructions
    • Bordbar A, Lewis NE, Schellenberger J et al (2010) Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions. Mol Syst Biol 6:422
    • (2010) Mol Syst Biol , vol.6 , pp. 422
    • Bordbar, A.1    Lewis, N.E.2    Schellenberger, J.3
  • 31
    • 1642457253 scopus 로고    scopus 로고
    • The effects of alternate optimal solutions in constraint-based genome-scale metabolic models
    • Mahadevan R, Schilling CH (2003) The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. Metab Eng 5:264-276
    • (2003) Metab Eng , vol.5 , pp. 264-276
    • Mahadevan, R.1    Schilling, C.H.2
  • 32
    • 77957117220 scopus 로고    scopus 로고
    • Computationally efficient flux variability analysis
    • Gudmundsson S, Thiele I (2010) Computationally efficient flux variability analysis. BMC Bioinformatics 11:489
    • (2010) BMC Bioinformatics , vol.11 , pp. 489
    • Gudmundsson, S.1    Thiele, I.2
  • 33
    • 65549092780 scopus 로고    scopus 로고
    • Use of randomized sampling for analysis of metabolic networks
    • Schellenberger J, Palsson B0 (2009) Use of randomized sampling for analysis of metabolic networks. J Biol Chem 284:5457-5461
    • (2009) J Biol Chem , vol.284 , pp. 5457-5461
    • Schellenberger, J.1    Bo, P.2
  • 34
    • 0031679770 scopus 로고    scopus 로고
    • Direction choice for accelerated convergence in hit-and-run sampling
    • Kaufinan DE, Smith RL (1998) Direction choice for accelerated convergence in hit-and-run sampling. Oper Res 46:84-95
    • (1998) Oper Res , vol.46 , pp. 84-95
    • Kaufinan, D.E.1    Smith, R.L.2
  • 35
    • 44949225040 scopus 로고    scopus 로고
    • Context-specific metabolic networks are consistent with experiments
    • Becker SA, Palsson B0 (2008) Context-specific metabolic networks are consistent with experiments. PLoS Comput Biol 4:e1000082
    • (2008) Plos Comput Biol , vol.4
    • Becker, S.A.1    Bo, P.2
  • 36
    • 84867554554 scopus 로고    scopus 로고
    • Predicting drug targets and biomarkers of cancer via genome-scale metabolic modeling
    • Jerby L, Ruppin E (2012) Predicting drug targets and biomarkers of cancer via genome-scale metabolic modeling. Clin Cancer Res 18:5572-5584
    • (2012) Clin Cancer Res , vol.18 , pp. 5572-5584
    • Jerby, L.1    Ruppin, E.2
  • 37
    • 78650002545 scopus 로고    scopus 로고
    • Large-scale in silico modeling of metabolic interactions between cell types in the human brain
    • Lewis NE, Schramm G, Bordbar A et al (2010) Large-scale in silico modeling of metabolic interactions between cell types in the human brain. Nat Biotechnol 28:1279-1285
    • (2010) Nat Biotechnol , vol.28 , pp. 1279-1285
    • Lewis, N.E.1    Schramm, G.2    Bordbar, A.3
  • 38
    • 84855929956 scopus 로고    scopus 로고
    • Using the reconstructed genome-scale human metabolic network to study physiology and pathology
    • Bordbar A, Palsson BO (2012) Using the reconstructed genome-scale human metabolic network to study physiology and pathology. J Intern Med 271:131-141
    • (2012) J Intern Med , vol.271 , pp. 131-141
    • Bordbar, A.1    Palsson, B.O.2
  • 39
    • 66249132328 scopus 로고    scopus 로고
    • Predicting metabolic biomarkers of human inborn errors of metabolism
    • Shlomi T, Cabili MN, Ruppin E (2009) Predicting metabolic biomarkers of human inborn errors of metabolism. Mol Syst Biol 5:263
    • (2009) Mol Syst Biol , vol.5 , pp. 263
    • Shlomi, T.1    Cabili, M.N.2    Ruppin, E.3
  • 40
    • 80053375237 scopus 로고    scopus 로고
    • The human metabolic reconstruction Recon 1 directs hypotheses of novel human metabolic functions
    • Rolfsson O, Palsson BO, Thiele I (2011) The human metabolic reconstruction Recon 1 directs hypotheses of novel human metabolic functions. BMC Syst Biol 5:155
    • (2011) BMC Syst Biol , vol.5 , pp. 155
    • Rolfsson, O.1    Palsson, B.O.2    Thiele, I.3
  • 41
    • 84928110174 scopus 로고    scopus 로고
    • Systematic prediction of health-relevant human-microbial co-metabolism through a computational framework
    • Heinken A, Thiele I (2015) Systematic prediction of health-relevant human-microbial co-metabolism through a computational framework. Gut Microbes. doi:10.1080/19490976.2015.1023494
    • (2015) Gut Microbes
    • Heinken, A.1    Thiele, I.2
  • 42
    • 84871588520 scopus 로고    scopus 로고
    • Systems-level characterization of a host-microbe metabolic symbiosis in the mammalian gut
    • Heinken A, Sahoo S, Fleming RMT et al (2013) Systems-level characterization of a host-microbe metabolic symbiosis in the mammalian gut. Gut Microbes 4:28-40
    • (2013) Gut Microbes , vol.4 , pp. 28-40
    • Heinken, A.1    Sahoo, S.2    Fleming, R.3
  • 43
    • 34548860112 scopus 로고    scopus 로고
    • The Edinburgh human metabolic network reconstruction and its functional analysis
    • Ma H, Sorokin A, Mazein A et al (2007) The Edinburgh human metabolic network reconstruction and its functional analysis. Mol Syst Biol 3:135
    • (2007) Mol Syst Biol , vol.3 , pp. 135
    • Ma, H.1    Sorokin, A.2    Mazein, A.3
  • 44
    • 77954791900 scopus 로고    scopus 로고
    • Compartmentalization of the Edinburgh human metabolic network
    • Hao T, Ma HW, Zhao XMetal (2010) Compartmentalization of the Edinburgh human metabolic network. BMC Bioinformatics 11:393
    • (2010) BMC Bioinformatics , vol.11 , pp. 393
    • Hao, T.1    Ma, H.W.2    Xmetal, Z.3
  • 45
    • 77956407882 scopus 로고    scopus 로고
    • HepatoNet1: A comprehensive metabolic reconstruction of the human hepatocyte for the analysis of liver physiology
    • Gille C, Bolling C, Hoppe A et al (2010) HepatoNet1: a comprehensive metabolic reconstruction of the human hepatocyte for the analysis of liver physiology. Mol Syst Biol 6:411
    • (2010) Mol Syst Biol , vol.6 , pp. 411
    • Gille, C.1    Bolling, C.2    Hoppe, A.3
  • 46
    • 84898011025 scopus 로고    scopus 로고
    • Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease
    • Mardinoglu A, Agren R, Kampf C et al (2014) Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease. Nat Commun 5:3083
    • (2014) Nat Commun , vol.5 , pp. 3083
    • Mardinoglu, A.1    Agren, R.2    Kampf, C.3
  • 47
    • 84863662483 scopus 로고    scopus 로고
    • Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT
    • Agren R, Bordel S, Mardinoglu A et al (2012) Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT. PLoS Comput Biol 8:e1002518
    • (2012) Plos Comput Biol , vol.8
    • Agren, R.1    Bordel, S.2    Mardinoglu, A.3
  • 48
    • 84875973063 scopus 로고    scopus 로고
    • The RAVEN toolbox and its use for generating a genome-scale metabolic model for Penicillium chrysogenum
    • Agren R, Liu L, Shoaie S et al (2013) The RAVEN toolbox and its use for generating a genome-scale metabolic model for Penicillium chrysogenum. PLoS Comput Biol 9:e1002980
    • (2013) Plos Comput Biol , vol.9
    • Agren, R.1    Liu, L.2    Shoaie, S.3
  • 49
    • 84898663879 scopus 로고    scopus 로고
    • Identification of anticancer drugs for hepatocellular carcinoma through personalized genome-scale metabolic modeling
    • Agren R, Mardinoglu A, Asplund A et al (2014) Identification of anticancer drugs for hepatocellular carcinoma through personalized genome-scale metabolic modeling. Mol Syst Biol 10:721
    • (2014) Mol Syst Biol , vol.10 , pp. 721
    • Agren, R.1    Mardinoglu, A.2    Asplund, A.3
  • 50
    • 84883787394 scopus 로고    scopus 로고
    • Integration of clinical data with a genome-scale metabolic model of the human adipocyte
    • Mardinoglu A, Agren R, Kampf C et al (2013) Integration of clinical data with a genome-scale metabolic model of the human adipocyte. Mol Syst Biol 9:649
    • (2013) Mol Syst Biol , vol.9 , pp. 649
    • Mardinoglu, A.1    Agren, R.2    Kampf, C.3
  • 51
    • 84865768271 scopus 로고    scopus 로고
    • A compendium of inborn errors of metabolism mapped onto the human metabolic network
    • Sahoo S, Franzson L, Jonsson JJ et al (2012) A compendium of inborn errors of metabolism mapped onto the human metabolic network. Mol Biosyst 8:2545-2558
    • (2012) Mol Biosyst , vol.8 , pp. 2545-2558
    • Sahoo, S.1    Franzson, L.2    Jonsson, J.J.3
  • 52
    • 84861420588 scopus 로고    scopus 로고
    • Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation
    • Jain M, Nilsson R, Sharma S et al (2012) Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation. Science 336:1040-1044
    • (2012) Science , vol.336 , pp. 1040-1044
    • Jain, M.1    Nilsson, R.2    Sharma, S.3
  • 53
    • 78650034777 scopus 로고    scopus 로고
    • Towards a knowledge-based human protein atlas
    • Uhlen M, Oksvold P, Fagerberg L et al (2010) Towards a knowledge-based human protein atlas. Nat Biotech 28:1248-1250
    • (2010) Nat Biotech , vol.28 , pp. 1248-1250
    • Uhlen, M.1    Oksvold, P.2    Fagerberg, L.3
  • 54
    • 84862159261 scopus 로고    scopus 로고
    • Gap-filling analysis of the iJO1366 Escherichia coli metabolic network reconstruction for discovery of metabolic functions
    • Orth JD, Palsson B (2012) Gap-filling analysis of the iJO1366 Escherichia coli metabolic network reconstruction for discovery of metabolic functions. BMC Syst Biol 6:30
    • (2012) BMC Syst Biol , vol.6 , pp. 30
    • Orth, J.D.1    Palsson, B.2
  • 55
    • 84907026934 scopus 로고    scopus 로고
    • AstGapFill: Efficient gap filling in metabolic networks
    • Thiele I, Vlassis N, Fleming RMT (2014) FastGapFill: efficient gap filling in metabolic networks. Bioinformatics 30:2529-2531
    • (2014) Bioinformatics , vol.30 , pp. 2529-2531
    • Thiele, I.1    Vlassis, N.2    Fleming, R.3
  • 56
    • 58149202163 scopus 로고    scopus 로고
    • HMDB: A knowledgebase for the human metabolome
    • Wishart DS, Knox C, Guo AC et al (2009) HMDB: a knowledgebase for the human metabolome. Nucleic Acids Res 37: D603-D610
    • (2009) Nucleic Acids Res , vol.37
    • Wishart, D.S.1    Knox, C.2    Guo, A.C.3
  • 57
    • 84897931922 scopus 로고    scopus 로고
    • Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease
    • Sahoo S, Aurich MK, Jonsson JJ et al (2014) Membrane transporters in a human genome-scale metabolic knowledgebase and their implications for disease. Front Physiol 5:91
    • (2014) Front Physiol , vol.5 , pp. 91
    • Sahoo, S.1    Aurich, M.K.2    Jonsson, J.J.3
  • 58
    • 84925933412 scopus 로고    scopus 로고
    • Modeling the effects of commonly used drugs on human metabolism
    • Sahoo S, Haraldsdottir HS, Fleming RMT et al (2014) Modeling the effects of commonly used drugs on human metabolism. FEBS J 282:297-317
    • (2014) FEBS J , vol.282 , pp. 297-317
    • Sahoo, S.1    Haraldsdottir, H.S.2    Fleming, R.3
  • 59
    • 70049110173 scopus 로고    scopus 로고
    • Interpreting expression data with metabolic flux models: Predicting Mycobacterium tuberculosis mycolic acid production
    • Colijn C, Brandes A, Zucker J et al (2009) Interpreting expression data with metabolic flux models: predicting Mycobacterium tuberculosis mycolic acid production. PLoS Comput Biol 5:e1000489
    • (2009) Plos Comput Biol , vol.5
    • Colijn, C.1    Brandes, A.2    Zucker, J.3
  • 60
    • 34547572949 scopus 로고    scopus 로고
    • Is proteomics the new genomics?
    • Cox J, Mann M (2007) Is proteomics the new genomics? Cell 130:395-398
    • (2007) Cell , vol.130 , pp. 395-398
    • Cox, J.1    Mann, M.2
  • 61
    • 84895833353 scopus 로고    scopus 로고
    • Chromosome 3p loss of heterozygosity is associated with a unique metabolic network in clear cell renal carcinoma
    • Gatto F, Nookaew I, Nielsen J (2014) Chromosome 3p loss of heterozygosity is associated with a unique metabolic network in clear cell renal carcinoma. PNAS 111: E866-E875
    • (2014) PNAS , vol.111
    • Gatto, F.1    Nookaew, I.2    Nielsen, J.3
  • 63
    • 84866128045 scopus 로고    scopus 로고
    • Shrinking the metabolic solution space using experimental datasets
    • Reed JL (2012) Shrinking the metabolic solution space using experimental datasets. PLoS Comput Biol 8:e1002662
    • (2012) Plos Comput Biol , vol.8
    • Reed, J.L.1
  • 64
    • 65649126379 scopus 로고    scopus 로고
    • Connecting extracellular metabolomic measurements to intracellular flux states in yeast
    • Mo ML, Palsson B0, Herrgard MJ (2009) Connecting extracellular metabolomic measurements to intracellular flux states in yeast. BMC Syst Biol 3:37
    • (2009) BMC Syst Biol , vol.3 , pp. 37
    • Mo, M.L.1    Bo, P.2    Herrgard, M.J.3
  • 65
    • 51349092391 scopus 로고    scopus 로고
    • Network-based prediction of human tissue-specific metabolism
    • Shlomi T, Cabili MN, Herrgard MJ et al (2008) Network-based prediction of human tissue-specific metabolism. Nat Biotechnol 26:1003-1010
    • (2008) Nat Biotechnol , vol.26 , pp. 1003-1010
    • Shlomi, T.1    Cabili, M.N.2    Herrgard, M.J.3
  • 66
    • 82355175105 scopus 로고    scopus 로고
    • Reconstruction and analysis of human heart-specific metabolic network based on transcriptome and pro-teome data
    • Zhao Y, Huang J (2011) Reconstruction and analysis of human heart-specific metabolic network based on transcriptome and pro-teome data. Biochem Biophys Res Commun 415:450-454
    • (2011) Biochem Biophys Res Commun , vol.415 , pp. 450-454
    • Zhao, Y.1    Huang, J.2
  • 67
    • 84865432555 scopus 로고    scopus 로고
    • CardioNet: A human metabolic network suited for the study of cardiomyocyte metabolism
    • Karlstadt A, Fliegner D, Kararigas G et al (2012) CardioNet: a human metabolic network suited for the study of cardiomyocyte metabolism. BMC Syst Biol 6:114
    • (2012) BMC Syst Biol , vol.6 , pp. 114
    • Karlstadt, A.1    Fliegner, D.2    Kararigas, G.3
  • 68
    • 77956417789 scopus 로고    scopus 로고
    • Computational reconstruction of tissue-specific metabolic models: Application to human liver metabolism
    • Jerby L, Shlomi T, Ruppin E (2010) Computational reconstruction of tissue-specific metabolic models: application to human liver metabolism. Mol Syst Biol 6:401
    • (2010) Mol Syst Biol , vol.6 , pp. 401
    • Jerby, L.1    Shlomi, T.2    Ruppin, E.3
  • 69
    • 78049445175 scopus 로고    scopus 로고
    • Drug off-target effects predicted using structural analysis in the context of a metabolic network model
    • Chang RL, Xie L, Xie L et al (2010) Drug off-target effects predicted using structural analysis in the context of a metabolic network model. PLoS Comput Biol 6:e1000938
    • (2010) Plos Comput Biol , vol.6
    • Chang, R.L.1    Xie, L.2    Xie, L.3
  • 70
    • 84863331725 scopus 로고    scopus 로고
    • Model-driven multi-omic data analysis elucidates metabolic immunomodulators of mac-rophage activation
    • Bordbar A, Mo ML, Nakayasu ES et al (2012) Model-driven multi-omic data analysis elucidates metabolic immunomodulators of mac-rophage activation. Mol Syst Biol 8:558
    • (2012) Mol Syst Biol , vol.8 , pp. 558
    • Bordbar, A.1    Mo, M.L.2    Nakayasu, E.S.3
  • 71
    • 79960169210 scopus 로고    scopus 로고
    • Palsson B0 (2011) iAB-RBC-283: A proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states
    • Bordbar A, Jamshidi N, Palsson B0 (2011) iAB-RBC-283: a proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states. BMC Syst Biol 5:110
    • BMC Syst Biol , vol.5 , pp. 110
    • Bordbar, A.1    Jamshidi, N.2
  • 72
    • 84930377006 scopus 로고    scopus 로고
    • Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer
    • Yizhak K, Gaude E, Le Devedec S et al (2014) Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer. eLife 3:e03641
    • (2014) Elife , vol.3 , pp. 3641
    • Yizhak, K.1    Gaude, E.2    Le Devedec, S.3
  • 73
    • 84870933131 scopus 로고    scopus 로고
    • Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE
    • Wang Y, Eddy JA, Price ND (2012) Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE. BMC Syst Biol 6:153
    • (2012) BMC Syst Biol , vol.6 , pp. 153
    • Wang, Y.1    Eddy, J.A.2    Price, N.D.3
  • 74
    • 84866487453 scopus 로고    scopus 로고
    • Integration of expression data in genome-scale metabolic network reconstructions
    • Blazier AS, Papin JA (2012) Integration of expression data in genome-scale metabolic network reconstructions. Front Physiol 3:299
    • (2012) Front Physiol , vol.3 , pp. 299
    • Blazier, A.S.1    Papin, J.A.2
  • 75
    • 77749274192 scopus 로고    scopus 로고
    • Metabolic network-based interpretation of gene expression data elucidates human cellular metabolism
    • Shlomi T (2010) Metabolic network-based interpretation of gene expression data elucidates human cellular metabolism. Biotechnol Genet Eng Rev 26:281-296
    • (2010) Biotechnol Genet Eng Rev , vol.26 , pp. 281-296
    • Shlomi, T.1
  • 76
    • 84896701551 scopus 로고    scopus 로고
    • Fast reconstruction of compact context-specific metabolic network models
    • Vlassis N, Pacheco MP, Sauter T (2014) Fast reconstruction of compact context-specific metabolic network models. PLoS Comput Biol 10:e1003424
    • (2014) Plos Comput Biol , vol.10
    • Vlassis, N.1    Pacheco, M.P.2    Sauter, T.3
  • 78
    • 84890092837 scopus 로고    scopus 로고
    • GIM3E: Condition-specific models of cellular metabolism developed from metabo-lomics and expression data
    • Schmidt BJ, Ebrahim A, Metz TO et al (2013) GIM3E: condition-specific models of cellular metabolism developed from metabo-lomics and expression data. Bioinformatics 29:2900-2908
    • (2013) Bioinformatics , vol.29 , pp. 2900-2908
    • Schmidt, B.J.1    Ebrahim, A.2    Metz, T.O.3
  • 79
    • 70350560332 scopus 로고    scopus 로고
    • Quantitative assignment of reaction directionality in constraint-based models of metabolism: Application to Escherichia coli
    • Fleming RMT, Thiele I, Nasheuer HP (2009) Quantitative assignment of reaction directionality in constraint-based models of metabolism: application to Escherichia coli. Biophys Chem 145:47-56
    • (2009) Biophys Chem , vol.145 , pp. 47-56
    • Fleming, R.1    Thiele, I.2    Nasheuer, H.P.3
  • 80
    • 77954197778 scopus 로고    scopus 로고
    • Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model
    • Yizhak K, Benyamini T, Liebermeister W et al (2010) Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model. Bioinformatics 26:1255-1260
    • (2010) Bioinformatics , vol.26 , pp. 1255-1260
    • Yizhak, K.1    Benyamini, T.2    Liebermeister, W.3
  • 81
    • 33845238737 scopus 로고    scopus 로고
    • Systematic assignment of thermodynamic constraints in metabolic network models
    • Kummel A, Panke S, Heinemann M (2006) Systematic assignment of thermodynamic constraints in metabolic network models. BMC Bioinformatics 7:512
    • (2006) BMC Bioinformatics , vol.7 , pp. 512
    • Kummel, A.1    Panke, S.2    Heinemann, M.3
  • 82
    • 80052406750 scopus 로고    scopus 로고
    • Linkage of organic anion transporter-1 to metabolic pathways through integrated "omics"-driven network and functional analysis
    • Ahn SY, Jamshidi N, Mo ML et al (2011) Linkage of organic anion transporter-1 to metabolic pathways through integrated "omics"-driven network and functional analysis. J Biol Chem 286:31522-31531
    • (2011) J Biol Chem , vol.286 , pp. 31522-31531
    • Ahn, S.Y.1    Jamshidi, N.2    Mo, M.L.3
  • 83
    • 84890209181 scopus 로고    scopus 로고
    • Glutamine-driven oxidative phosphorylation is a major ATP source in transformed mammalian cells in both normoxia and hypoxia
    • Fan J, Kamphorst JJ, Mathew R et al (2013) Glutamine-driven oxidative phosphorylation is a major ATP source in transformed mammalian cells in both normoxia and hypoxia. Mol Syst Biol 9:712
    • (2013) Mol Syst Biol , vol.9 , pp. 712
    • Fan, J.1    Kamphorst, J.J.2    Mathew, R.3
  • 84
    • 33750705293 scopus 로고    scopus 로고
    • Integration of metabolome data with metabolic networks reveals reporter reactions
    • Cakir T, Patil KR, Onsan Z et al (2006) Integration of metabolome data with metabolic networks reveals reporter reactions. Mol Syst Biol 2:50
    • (2006) Mol Syst Biol , vol.2 , pp. 50
    • Cakir, T.1    Patil, K.R.2    Onsan, Z.3
  • 85
    • 8144230574 scopus 로고    scopus 로고
    • Discrimination of modes of action of antifungal substances by use of metabolic footprinting
    • Allen J, Davey HM, Broadhurst D et al (2004) Discrimination of modes of action of antifungal substances by use of metabolic footprinting. Appl Environ Microbiol 70:6157-6165
    • (2004) Appl Environ Microbiol , vol.70 , pp. 6157-6165
    • Allen, J.1    Davey, H.M.2    Broadhurst, D.3
  • 86
    • 0038699591 scopus 로고    scopus 로고
    • High-throughput classification of yeast mutants for functional genomics using metabolic footprinting
    • Allen J, Davey HM, Broadhurst D et al (2003) High-throughput classification of yeast mutants for functional genomics using metabolic footprinting. Nat Biotechnol 21: 692-696
    • (2003) Nat Biotechnol , vol.21 , pp. 692-696
    • Allen, J.1    Davey, H.M.2    Broadhurst, D.3
  • 87
    • 12444279265 scopus 로고
    • On the origin of cancer cells
    • Warburg O (1956) On the origin of cancer cells. Science 123:309-314
    • (1956) Science , vol.123 , pp. 309-314
    • Warburg, O.1
  • 88
    • 77957859044 scopus 로고    scopus 로고
    • Modeling core metabolism in cancer cells: Surveying the topology underlying the Warburg effect
    • Resendis-Antonio O, Checa A, Encarnacion S (2010) Modeling core metabolism in cancer cells: surveying the topology underlying the Warburg effect. PLoS One 5:e12383
    • (2010) Plos One , vol.5
    • Resendis-Antonio, O.1    Checa, A.2    Encarnacion, S.3
  • 89
    • 84887444816 scopus 로고    scopus 로고
    • Contribution of serine, folate and gly-cine metabolism to the ATP, NADPH and purine requirements of cancer cells
    • Tedeschi PM, Markert EK, Gounder M et al (2013) Contribution of serine, folate and gly-cine metabolism to the ATP, NADPH and purine requirements of cancer cells. Cell Death Dis 4:e877
    • (2013) Cell Death Dis , vol.4
    • Tedeschi, P.M.1    Markert, E.K.2    Gounder, M.3
  • 90
    • 80355129300 scopus 로고    scopus 로고
    • Serine biosynthesis with one carbon catabo-lism and the glycine cleavage system represents a novel pathway for ATP generation
    • Vazquez A, Markert EK, Oltvai ZN (2011) Serine biosynthesis with one carbon catabo-lism and the glycine cleavage system represents a novel pathway for ATP generation. PLoS One 6:e25881
    • (2011) Plos One , vol.6
    • Vazquez, A.1    Markert, E.K.2    Oltvai, Z.N.3
  • 91
    • 80052580351 scopus 로고    scopus 로고
    • Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase
    • Frezza C, Zheng L, Folger O et al (2011) Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase. Nature 477:225-228
    • (2011) Nature , vol.477 , pp. 225-228
    • Frezza, C.1    Zheng, L.2    Folger, O.3
  • 92
    • 84867527044 scopus 로고    scopus 로고
    • Metabolic associations of reduced proliferation and oxidative stress in advanced breast cancer
    • Jerby L, Wolf L, Denkert C et al (2012) Metabolic associations of reduced proliferation and oxidative stress in advanced breast cancer. Cancer Res 72:5712-5720
    • (2012) Cancer Res , vol.72 , pp. 5712-5720
    • Jerby, L.1    Wolf, L.2    Denkert, C.3
  • 93
    • 79953661070 scopus 로고    scopus 로고
    • Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect
    • Shlomi T, Benyamini T, Gottlieb E et al (2011) Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. PLoS Comput Biol 7:e1002018
    • (2011) Plos Comput Biol , vol.7
    • Shlomi, T.1    Benyamini, T.2    Gottlieb, E.3
  • 94
    • 84892788440 scopus 로고    scopus 로고
    • Constraint-based models predict metabolic and associated cellular functions
    • Bordbar A, Monk JM, King ZA et al (2014) Constraint-based models predict metabolic and associated cellular functions. Nat Rev Genet 15:107-120
    • (2014) Nat Rev Genet , vol.15 , pp. 107-120
    • Bordbar, A.1    Monk, J.M.2    King, Z.A.3
  • 95
    • 84884565153 scopus 로고    scopus 로고
    • The evolution of genome-scale models of cancer metabolism
    • Lewis NE, Abdel-Haleem AM (2013) The evolution of genome-scale models of cancer metabolism. Front Physiol 4:237
    • (2013) Front Physiol , vol.4 , pp. 237
    • Lewis, N.E.1    Abdel-Haleem, A.M.2
  • 96
    • 84919660482 scopus 로고    scopus 로고
    • Metabolic cancer biology: Structural-based analysis of cancer as a metabolic disease, new sights and opportunities for disease treatment
    • Masoudi-Nejad A, Asgari Y (2014) Metabolic cancer biology: structural-based analysis of cancer as a metabolic disease, new sights and opportunities for disease treatment. Semin Cancer Biol 30:21-29
    • (2014) Semin Cancer Biol , vol.30 , pp. 21-29
    • Masoudi-Nejad, A.1    Asgari, Y.2
  • 97
    • 77951803596 scopus 로고    scopus 로고
    • Catabolic efficiency of aerobic glycolysis: The Warburg effect revisited
    • Vazquez A, Liu J, Zhou Y et al (2010) Catabolic efficiency of aerobic glycolysis: the Warburg effect revisited. BMC Syst Biol 4:58
    • (2010) BMC Syst Biol , vol.4 , pp. 58
    • Vazquez, A.1    Liu, J.2    Zhou, Y.3
  • 98
    • 79955761880 scopus 로고    scopus 로고
    • Molecular crowding defines a common origin for the Warburg effect in proliferating cells and the lactate threshold in muscle physiology
    • Vazquez A, Oltvai ZN (2011) Molecular crowding defines a common origin for the Warburg effect in proliferating cells and the lactate threshold in muscle physiology. PLoS One 6:e19538
    • (2011) Plos One , vol.6
    • Vazquez, A.1    Oltvai, Z.N.2
  • 99
    • 79952062168 scopus 로고    scopus 로고
    • Inherited metabolic rare disease
    • Pampols T (2010) Inherited metabolic rare disease. Adv Exp Med Biol 686:397-431
    • (2010) Adv Exp Med Biol , vol.686 , pp. 397-431
    • Pampols, T.1
  • 100
    • 78650784235 scopus 로고    scopus 로고
    • Newborn screening conditions: What we know, what we do not know, and how we will know it
    • Levy HL (2010) Newborn screening conditions: what we know, what we do not know, and how we will know it. Genet Med 12:S213-S214
    • (2010) Genet Med , vol.12 , pp. S213-S214
    • Levy, H.L.1
  • 101
    • 29344441709 scopus 로고    scopus 로고
    • Newborn screening for inborn errors of metabolism: A systematic review
    • Seymour CA, Thomason MJ, Chalmers RA et al (1997) Newborn screening for inborn errors of metabolism: a systematic review. Health Technol Assess 1:84-95
    • (1997) Health Technol Assess , vol.1 , pp. 84-95
    • Seymour, C.A.1    Thomason, M.J.2    Chalmers, R.A.3
  • 102
    • 33646893457 scopus 로고    scopus 로고
    • Inborn errors of metabolism: The flux from Mendelian to complex diseases
    • Lanpher B, Brunetti-Pierri N, Lee B (2006) Inborn errors of metabolism: the flux from Mendelian to complex diseases. Nat Rev Genet 7:449-60
    • (2006) Nat Rev Genet , vol.7 , pp. 449-460
    • Lanpher, B.1    Brunetti-Pierri, N.2    Lee, B.3
  • 103
    • 56049115085 scopus 로고    scopus 로고
    • Metabolism as a complex genetic trait, a systems biology approach: Implications for inborn errors of metabolism and clinical diseases
    • Vockley J (2008) Metabolism as a complex genetic trait, a systems biology approach: implications for inborn errors of metabolism and clinical diseases. J Inherit Metab Dis 31:619-629
    • (2008) J Inherit Metab Dis , vol.31 , pp. 619-629
    • Vockley, J.1
  • 105
    • 3142620030 scopus 로고
    • Hereditary orotic aciduria and megaloblastic anaemia: A second case, with response to uridine
    • Becroft DM, Phillips LI (1965) Hereditary orotic aciduria and megaloblastic anaemia: a second case, with response to uridine. Br Med J 1:547-552
    • (1965) Br Med J , vol.1 , pp. 547-552
    • Becroft, D.M.1    Phillips, L.I.2
  • 106
    • 0014608809 scopus 로고
    • Hereditary orotic aciduria: Long-term therapy with uridine and a trial of uracil
    • Becroft DM, Phillips LI, Simmonds A (1969) Hereditary orotic aciduria: long-term therapy with uridine and a trial of uracil. J Pediatr 75:885-891
    • (1969) J Pediatr , vol.75 , pp. 885-891
    • Becroft, D.M.1    Phillips, L.I.2    Simmonds, A.3
  • 107
    • 83655183165 scopus 로고    scopus 로고
    • Individualized therapy of HHT driven by network analysis of metabolomic profiles
    • Jamshidi N, Miller FJ, Mandel J et al (2011) Individualized therapy of HHT driven by network analysis of metabolomic profiles. BMC Syst Biol 5:200
    • (2011) BMC Syst Biol , vol.5 , pp. 200
    • Jamshidi, N.1    Miller, F.J.2    Mandel, J.3
  • 109
    • 77951122415 scopus 로고    scopus 로고
    • Reconstruction annotation jamborees: A community approach to systems biology
    • Thiele I, Palsson B0 (2010) Reconstruction annotation jamborees: a community approach to systems biology. Mol Syst Biol 6:361
    • (2010) Mol Syst Biol , vol.6 , pp. 361
    • Thiele, I.1    Bo, P.2
  • 110
    • 79957604338 scopus 로고    scopus 로고
    • A genome-wide association study of metabolic traits in human urine
    • Suhre K, Wallaschofski H, Raffler Jetal (2011) A genome-wide association study of metabolic traits in human urine. Nat Genet 43:565-569
    • (2011) Nat Genet , vol.43 , pp. 565-569
    • Suhre, K.1    Wallaschofski, H.2    Jetal, R.3
  • 111
    • 84861790964 scopus 로고    scopus 로고
    • The dynamic range of the human metabolome revealed by challenges
    • Krug S, Kastenmuller G, Stuckler F et al (2012) The dynamic range of the human metabolome revealed by challenges. FASEB J 26:2607-2619
    • (2012) FASEB J , vol.26 , pp. 2607-2619
    • Krug, S.1    Kastenmuller, G.2    Stuckler, F.3
  • 112
    • 34447523907 scopus 로고    scopus 로고
    • Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli
    • Schuetz R, Kuepfer L, Sauer U (2007) Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli. Mol Syst Biol 3:1-15
    • (2007) Mol Syst Biol , vol.3 , pp. 1-15
    • Schuetz, R.1    Kuepfer, L.2    Sauer, U.3
  • 113
    • 40049101759 scopus 로고    scopus 로고
    • Predicting biological system objectives de novo from internal state measurements
    • Gianchandani EP, Oberhardt MA, Burgard AP et al (2008) Predicting biological system objectives de novo from internal state measurements. BMC Bioinformatics 9:43
    • (2008) BMC Bioinformatics , vol.9 , pp. 43
    • Gianchandani, E.P.1    Oberhardt, M.A.2    Burgard, A.P.3
  • 114
    • 8544235670 scopus 로고    scopus 로고
    • Uniform sampling of steady-state flux spaces: Means to design experiments and to interpret enzymopathies
    • Price ND, Schellenberger J, Palsson BO (2004) Uniform sampling of steady-state flux spaces: means to design experiments and to interpret enzymopathies. Biophys J 87: 2172-2186
    • (2004) Biophys J , vol.87 , pp. 2172-2186
    • Price, N.D.1    Schellenberger, J.2    Palsson, B.O.3
  • 115
    • 6044265058 scopus 로고    scopus 로고
    • Integration of gene expression data into genome-scale metabolic models
    • Akesson M, Forster J, Nielsen J (2004) Integration of gene expression data into genome-scale metabolic models. Metab Eng 6:285-293
    • (2004) Metab Eng , vol.6 , pp. 285-293
    • Akesson, M.1    Forster, J.2    Nielsen, J.3
  • 116
    • 79951745716 scopus 로고    scopus 로고
    • IMAT: An integrative metabolic analysis tool
    • Zur H, Ruppin E, Shlomi T (2010) iMAT: an integrative metabolic analysis tool. Bioinformatics 26:3140-3142
    • (2010) Bioinformatics , vol.26 , pp. 3140-3142
    • Zur, H.1    Ruppin, E.2    Shlomi, T.3
  • 117
    • 78049255973 scopus 로고    scopus 로고
    • Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis
    • Chandrasekaran S, Price ND (2010) Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis. PNAS 107: 17845-17850
    • (2010) PNAS , vol.107 , pp. 17845-17850
    • Chandrasekaran, S.1    Price, N.D.2


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