{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T14:25:08Z","timestamp":1778509508115,"version":"3.51.4"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Syst Biol"],"published-print":{"date-parts":[[2011,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>Genome-scale metabolic reconstructions provide a biologically meaningful mechanistic basis for the genotype-phenotype relationship. The global human metabolic network, termed Recon 1, has recently been reconstructed allowing the systems analysis of human metabolic physiology and pathology. Utilizing high-throughput data, Recon 1 has recently been tailored to different cells and tissues, including the liver, kidney, brain, and alveolar macrophage. These models have shown utility in the study of systems medicine. However, no integrated analysis between human tissues has been done.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>To describe tissue-specific functions, Recon 1 was tailored to describe metabolism in three human cells: adipocytes, hepatocytes, and myocytes. These cell-specific networks were manually curated and validated based on known cellular metabolic functions. To study intercellular interactions, a novel multi-tissue type modeling approach was developed to integrate the metabolic functions for the three cell types, and subsequently used to simulate known integrated metabolic cycles. In addition, the multi-tissue model was used to study diabetes: a pathology with systemic properties. High-throughput data was integrated with the network to determine differential metabolic activity between obese and type II obese gastric bypass patients in a whole-body context.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>The multi-tissue type modeling approach presented provides a platform to study integrated metabolic states. As more cell and tissue-specific models are released, it is critical to develop a framework in which to study their interdependencies.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1752-0509-5-180","type":"journal-article","created":{"date-parts":[[2011,11,18]],"date-time":"2011-11-18T07:29:09Z","timestamp":1321601349000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":159,"title":["A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology"],"prefix":"10.1186","volume":"5","author":[{"given":"Aarash","family":"Bordbar","sequence":"first","affiliation":[]},{"given":"Adam M","family":"Feist","sequence":"additional","affiliation":[]},{"given":"Renata","family":"Usaite-Black","sequence":"additional","affiliation":[]},{"given":"Joseph","family":"Woodcock","sequence":"additional","affiliation":[]},{"given":"Bernhard O","family":"Palsson","sequence":"additional","affiliation":[]},{"given":"Iman","family":"Famili","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,10,31]]},"reference":[{"key":"776_CR1","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1016\/j.cell.2008.08.021","volume":"134","author":"PP Hsu","year":"2008","unstructured":"Hsu PP, Sabatini DM: Cancer cell metabolism: Warburg and beyond. Cell. 2008, 134: 703-707. 10.1016\/j.cell.2008.08.021.","journal-title":"Cell"},{"key":"776_CR2","doi-asserted-by":"publisher","first-page":"3016","DOI":"10.1002\/ajmg.a.32035","volume":"143A","author":"LA Barness","year":"2007","unstructured":"Barness LA, Opitz JM, Gilbert-Barness E: Obesity: genetic, molecular, and environmental aspects. Am J Med Genet A. 2007, 143A: 3016-3034. 10.1002\/ajmg.a.32035.","journal-title":"Am J Med Genet A"},{"key":"776_CR3","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1038\/msb.2009.77","volume":"5","author":"MA Oberhardt","year":"2009","unstructured":"Oberhardt MA, Palsson BO, Papin JA: Applications of genome-scale metabolic reconstructions. Mol Syst Biol. 2009, 5: 320-","journal-title":"Mol Syst Biol"},{"key":"776_CR4","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1038\/nrm1857","volume":"7","author":"AR Joyce","year":"2006","unstructured":"Joyce AR, Palsson BO: The model organism as a system: integrating 'omics' data sets. Nat Rev Mol Cell Biol. 2006, 7: 198-210. 10.1038\/nrm1857.","journal-title":"Nat Rev Mol Cell Biol"},{"key":"776_CR5","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1073\/pnas.0610772104","volume":"104","author":"NC Duarte","year":"2007","unstructured":"Duarte NC, Becker SA, Jamshidi N, Thiele I, Mo ML, et al, et al.: Global reconstruction of the human metabolic network based on genomic and bibliomic data. Proc Natl Acad Sci USA. 2007, 104: 1777-1782. 10.1073\/pnas.0610772104.","journal-title":"Proc Natl Acad Sci USA"},{"key":"776_CR6","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1038\/nbt.1487","volume":"26","author":"T Shlomi","year":"2008","unstructured":"Shlomi T, Cabili MN, Herrgard MJ, Palsson BO, Ruppin E: Network-based prediction of human tissue-specific metabolism. Nat Biotechnol. 2008, 26: 1003-1010. 10.1038\/nbt.1487.","journal-title":"Nat Biotechnol"},{"key":"776_CR7","doi-asserted-by":"publisher","first-page":"e1000082","DOI":"10.1371\/journal.pcbi.1000082","volume":"4","author":"SA Becker","year":"2008","unstructured":"Becker SA, Palsson BO: Context-specific metabolic networks are consistent with experiments. PLoS Comput Biol. 2008, 4: e1000082-10.1371\/journal.pcbi.1000082.","journal-title":"PLoS Comput Biol"},{"key":"776_CR8","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1038\/msb.2010.56","volume":"6","author":"L Jerby","year":"2010","unstructured":"Jerby L, Shlomi T, Ruppin E: Computational reconstruction of tissue-specific metabolic models: application to human liver metabolism. Mol Syst Biol. 2010, 6: 401-","journal-title":"Mol Syst Biol"},{"key":"776_CR9","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1038\/msb.2010.62","volume":"6","author":"C Gille","year":"2010","unstructured":"Gille C, Bolling C, Hoppe A, Bulik S, Hoffmann S, et al, et al.: HepatoNet1: a comprehensive metabolic reconstruction of the human hepatocyte for the analysis of liver physiology. Mol Syst Biol. 2010, 6: 411-","journal-title":"Mol Syst Biol"},{"key":"776_CR10","doi-asserted-by":"publisher","first-page":"e1000938","DOI":"10.1371\/journal.pcbi.1000938","volume":"6","author":"RL Chang","year":"2010","unstructured":"Chang RL, Xie L, Bourne PE, Palsson BO: Drug off-target effects predicted using structural analysis in the context of a metabolic network model. PLoS Comput Biol. 2010, 6: e1000938-10.1371\/journal.pcbi.1000938.","journal-title":"PLoS Comput Biol"},{"key":"776_CR11","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1038\/nbt.1711","volume":"28","author":"NE Lewis","year":"2010","unstructured":"Lewis NE, Schramm G, Bordbar A, Schellenberger J, Andersen MP, et al, et al.: Large-scale in silico modeling of metabolic interactions between cell types in the human brain. Nat Biotechnol. 2010, 28: 1279-1285. 10.1038\/nbt.1711.","journal-title":"Nat Biotechnol"},{"key":"776_CR12","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1186\/1752-0509-5-110","volume":"5","author":"A Bordbar","year":"2011","unstructured":"Bordbar A, Jamshidi N, Palsson BO: 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. 2011, 5: 110-10.1186\/1752-0509-5-110.","journal-title":"BMC Syst Biol"},{"key":"776_CR13","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1038\/msb.2010.68","volume":"6","author":"A Bordbar","year":"2010","unstructured":"Bordbar A, Lewis NE, Schellenberger J, Palsson BO, Jamshidi N: Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions. Mol Syst Biol. 2010, 6: 422-","journal-title":"Mol Syst Biol"},{"key":"776_CR14","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1038\/nprot.2007.99","volume":"2","author":"SA Becker","year":"2007","unstructured":"Becker SA, Feist AM, Mo ML, Hannum G, Palsson BO, et al, et al.: Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox. Nat Protoc. 2007, 2: 727-738. 10.1038\/nprot.2007.99.","journal-title":"Nat Protoc"},{"key":"776_CR15","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1038\/nprot.2009.203","volume":"5","author":"I Thiele","year":"2010","unstructured":"Thiele I, Palsson BO: A protocol for generating a high-quality genome-scale metabolic reconstruction. Nat Protoc. 2010, 5: 93-121.","journal-title":"Nat Protoc"},{"key":"776_CR16","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1038\/nrmicro1949","volume":"7","author":"AM Feist","year":"2009","unstructured":"Feist AM, Herrgard MJ, Thiele I, Reed JL, Palsson BO: Reconstruction of biochemical networks in microorganisms. Nat Rev Microbiol. 2009, 7: 129-143.","journal-title":"Nat Rev Microbiol"},{"key":"776_CR17","first-page":"59","volume":"220","author":"SL Nyberg","year":"1994","unstructured":"Nyberg SL, Remmel RP, Mann HJ, Peshwa MV, Hu WS, et al, et al.: Primary hepatocytes outperform Hep G2 cells as the source of biotransformation functions in a bioartificial liver. Ann Surg. 1994, 220: 59-67.","journal-title":"Ann Surg"},{"key":"776_CR18","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.exphem.2003.09.003","volume":"31","author":"Y Muguruma","year":"2003","unstructured":"Muguruma Y, Reyes M, Nakamura Y, Sato T, Matsuzawa H, et al, et al.: In vivo and in vitro differentiation of myocytes from human bone marrow-derived multipotent progenitor cells. Exp Hematol. 2003, 31: 1323-1330. 10.1016\/j.exphem.2003.09.003.","journal-title":"Exp Hematol"},{"key":"776_CR19","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1172\/JCI108516","volume":"58","author":"RL Van","year":"1976","unstructured":"Van RL, Bayliss CE, Roncari DA: Cytological and enzymological characterization of adult human adipocyte precursors in culture. J Clin Invest. 1976, 58: 699-704. 10.1172\/JCI108516.","journal-title":"J Clin Invest"},{"key":"776_CR20","first-page":"1242","volume-title":"Human anatomy & physiology","author":"EN Marieb","year":"2004","unstructured":"Marieb EN: Human anatomy & physiology. 2004, New York: Pearson Education, 1242-xxi"},{"key":"776_CR21","first-page":"1007","volume-title":"Biochemical and physiological aspects of human nutrition","author":"MH Stipanuk","year":"2000","unstructured":"Stipanuk MH: Biochemical and physiological aspects of human nutrition. 2000, Philadelphia: W.B. Saunders, 1007-xxx"},{"key":"776_CR22","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/978-1-4684-5041-5","volume-title":"Regulation of hepatic metabolism: intra-and intercellular compartmentation","author":"RG Thurman","year":"1986","unstructured":"Thurman RG, Kauffman FC, Jungermann K: Regulation of hepatic metabolism: intra-and intercellular compartmentation. 1986, New York: Plenum Press, 489-xix"},{"key":"776_CR23","doi-asserted-by":"crossref","first-page":"E628","DOI":"10.1152\/ajpcell.1999.276.3.C628","volume":"276","author":"KD Tipton","year":"1999","unstructured":"Tipton KD, Ferrando AA, Phillips SM, Doyle D, Wolfe RR: Postexercise net protein synthesis in human muscle from orally administered amino acids. Am J Physiol. 1999, 276: E628-634.","journal-title":"Am J Physiol"},{"key":"776_CR24","doi-asserted-by":"publisher","first-page":"39532","DOI":"10.1074\/jbc.M403782200","volume":"279","author":"TD Vo","year":"2004","unstructured":"Vo TD, Greenberg HJ, Palsson BO: Reconstruction and functional characterization of the human mitochondrial metabolic network based on proteomic and biochemical data. J Biol Chem. 2004, 279: 39532-39540. 10.1074\/jbc.M403782200.","journal-title":"J Biol Chem"},{"key":"776_CR25","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1038\/nbt1401","volume":"26","author":"AM Feist","year":"2008","unstructured":"Feist AM, Palsson BO: The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli. Nat Biotech. 2008, 26: 659-667. 10.1038\/nbt1401.","journal-title":"Nat Biotech"},{"key":"776_CR26","doi-asserted-by":"publisher","first-page":"2179","DOI":"10.2337\/diabetes.51.7.2179","volume":"51","author":"M Hawkins","year":"2002","unstructured":"Hawkins M, Gabriely I, Wozniak R, Reddy K, Rossetti L, et al, et al.: Glycemic control determines hepatic and peripheral glucose effectiveness in type 2 diabetic subjects. Diabetes. 2002, 51: 2179-2189. 10.2337\/diabetes.51.7.2179.","journal-title":"Diabetes"},{"key":"776_CR27","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.2337\/diabetes.50.6.1363","volume":"50","author":"P Staehr","year":"2001","unstructured":"Staehr P, Hother-Nielsen O, Levin K, Holst JJ, Beck-Nielsen H: Assessment of hepatic insulin action in obese type 2 diabetic patients. Diabetes. 2001, 50: 1363-1370. 10.2337\/diabetes.50.6.1363.","journal-title":"Diabetes"},{"key":"776_CR28","first-page":"348","volume":"19","author":"YD Chen","year":"1993","unstructured":"Chen YD, Varasteh BB, Reaven GM: Plasma lactate concentration in obesity and type 2 diabetes. Diabete Metab. 1993, 19: 348-354.","journal-title":"Diabete Metab"},{"issue":"Suppl 3","key":"776_CR29","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1046\/j.1365-2362.32.s3.3.x","volume":"32","author":"G Boden","year":"2002","unstructured":"Boden G, Shulman GI: Free fatty acids in obesity and type 2 diabetes: defining their role in the development of insulin resistance and beta-cell dysfunction. Eur J Clin Invest. 2002, 32 (Suppl 3): 14-23.","journal-title":"Eur J Clin Invest"},{"key":"776_CR30","doi-asserted-by":"publisher","first-page":"773","DOI":"10.2337\/diacare.15.6.773","volume":"15","author":"JE Foley","year":"1992","unstructured":"Foley JE: Rationale and application of fatty acid oxidation inhibitors in treatment of diabetes mellitus. Diabetes Care. 1992, 15: 773-784. 10.2337\/diacare.15.6.773.","journal-title":"Diabetes Care"},{"key":"776_CR31","doi-asserted-by":"publisher","first-page":"405","DOI":"10.2337\/diab.40.4.405","volume":"40","author":"JW Baynes","year":"1991","unstructured":"Baynes JW: Role of oxidative stress in development of complications in diabetes. Diabetes. 1991, 40: 405-412. 10.2337\/diabetes.40.4.405.","journal-title":"Diabetes"},{"key":"776_CR32","doi-asserted-by":"publisher","first-page":"1820","DOI":"10.1016\/S0140-6736(00)03238-4","volume":"356","author":"L Goth","year":"2000","unstructured":"Goth L, Eaton JW: Hereditary catalase deficiencies and increased risk of diabetes. Lancet. 2000, 356: 1820-1821. 10.1016\/S0140-6736(00)03238-4.","journal-title":"Lancet"},{"key":"776_CR33","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s00726-008-0202-y","volume":"37","author":"MH Stipanuk","year":"2009","unstructured":"Stipanuk MH, Ueki I, Dominy JE, Simmons CR, Hirschberger LL: Cysteine dioxygenase: a robust system for regulation of cellular cysteine levels. Amino Acids. 2009, 37: 55-63. 10.1007\/s00726-008-0202-y.","journal-title":"Amino Acids"},{"key":"776_CR34","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1002\/dmrr.229","volume":"17","author":"SH Hansen","year":"2001","unstructured":"Hansen SH: The role of taurine in diabetes and the development of diabetic complications. Diabetes Metab Res Rev. 2001, 17: 330-346. 10.1002\/dmrr.229.","journal-title":"Diabetes Metab Res Rev"},{"key":"776_CR35","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1023\/B:NERE.0000010443.05899.2f","volume":"29","author":"F Franconi","year":"2004","unstructured":"Franconi F, Di Leo MA, Bennardini F, Ghirlanda G: Is taurine beneficial in reducing risk factors for diabetes mellitus?. Neurochem Res. 2004, 29: 143-150.","journal-title":"Neurochem Res"},{"key":"776_CR36","doi-asserted-by":"publisher","first-page":"17410","DOI":"10.1074\/jbc.274.25.17410","volume":"274","author":"JS Edwards","year":"1999","unstructured":"Edwards JS, Palsson BO: Systems properties of the Haemophilus influenzae Rd metabolic genotype. Journal of Biological Chemistry. 1999, 274: 17410-17416. 10.1074\/jbc.274.25.17410.","journal-title":"Journal of Biological Chemistry"},{"key":"776_CR37","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1186\/1752-0509-1-26","volume":"1","author":"N Jamshidi","year":"2007","unstructured":"Jamshidi N, Palsson BO: Investigating the metabolic capabilities of Mycobacterium tuberculosis H37Rv using the in silico strain iNJ661 and proposing alternative drug targets. BMC Syst Biol. 2007, 1: 26-10.1186\/1752-0509-1-26.","journal-title":"BMC Syst Biol"},{"key":"776_CR38","doi-asserted-by":"publisher","first-page":"R89","DOI":"10.1186\/gb-2007-8-5-r89","volume":"8","author":"DJ Beste","year":"2007","unstructured":"Beste DJ, Hooper T, Stewart G, Bonde B, Avignone-Rossa C, et al, et al.: GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism. Genome Biol. 2007, 8: R89-10.1186\/gb-2007-8-5-r89.","journal-title":"Genome Biol"},{"key":"776_CR39","doi-asserted-by":"publisher","first-page":"4582","DOI":"10.1128\/JB.184.16.4582-4593.2002","volume":"184","author":"CH Schilling","year":"2002","unstructured":"Schilling CH, Covert MW, Famili I, Church GM, Edwards JS, et al, et al.: Genome-scale metabolic model of Helicobacter pylori 26695. Journal of Bacteriology. 2002, 184: 4582-4593. 10.1128\/JB.184.16.4582-4593.2002.","journal-title":"Journal of Bacteriology"},{"key":"776_CR40","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/1471-2180-5-8","volume":"5","author":"SA Becker","year":"2005","unstructured":"Becker SA, Palsson BO: Genome-scale reconstruction of the metabolic network in Staphylococcus aureus N315: an initial draft to the two-dimensional annotation. BMC Microbiol. 2005, 5: 8-10.1186\/1471-2180-5-8.","journal-title":"BMC Microbiol"},{"key":"776_CR41","volume-title":"Mol Syst Biol","author":"AM Feist","year":"2007","unstructured":"Feist AM, Henry CS, Reed JL, Krummenacker M, Joyce AR, et al, et al.: A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information. Mol Syst Biol. 2007, 3:"},{"key":"776_CR42","doi-asserted-by":"publisher","first-page":"R54.51","DOI":"10.1186\/gb-2003-4-9-r54","volume":"4","author":"JL Reed","year":"2003","unstructured":"Reed JL, Vo TD, Schilling CH, Palsson BO: An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM\/GPR). Genome Biology. 2003, 4: R54.51-R54.12.","journal-title":"Genome Biology"},{"key":"776_CR43","doi-asserted-by":"publisher","first-page":"5528","DOI":"10.1073\/pnas.97.10.5528","volume":"97","author":"JS Edwards","year":"2000","unstructured":"Edwards JS, Palsson BO: The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities. Proc Natl Acad Sci USA. 2000, 97: 5528-5533. 10.1073\/pnas.97.10.5528.","journal-title":"Proc Natl Acad Sci USA"},{"key":"776_CR44","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1101\/gr.234503","volume":"13","author":"J Forster","year":"2003","unstructured":"Forster J, Famili I, Fu PC, Palsson BO, Nielsen J: Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network. Genome Research. 2003, 13: 244-253. 10.1101\/gr.234503.","journal-title":"Genome Research"},{"key":"776_CR45","doi-asserted-by":"publisher","first-page":"D142","DOI":"10.1093\/nar\/gkp846","volume":"38","author":"U Consortium","year":"2010","unstructured":"Consortium U: The Universal Protein Resource (UniProt) in 2010. Nucleic Acids Res. 2010, 38: D142-148.","journal-title":"Nucleic Acids Res"},{"key":"776_CR46","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/nar\/28.1.27","volume":"28","author":"M Kanehisa","year":"2000","unstructured":"Kanehisa M, Goto S: KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000, 28: 27-30. 10.1093\/nar\/28.1.27.","journal-title":"Nucleic Acids Res"},{"key":"776_CR47","doi-asserted-by":"publisher","first-page":"D588","DOI":"10.1093\/nar\/gkn820","volume":"37","author":"A Chang","year":"2009","unstructured":"Chang A, Scheer M, Grote A, Schomburg I, Schomburg D: BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009. Nucleic Acids Res. 2009, 37: D588-592. 10.1093\/nar\/gkn820.","journal-title":"Nucleic Acids Res"},{"key":"776_CR48","first-page":"111","volume-title":"Metabolism at a glance","author":"JG Salway","year":"1999","unstructured":"Salway JG: Metabolism at a glance. 1999, Oxford; Malden, MA: Blackwell Science, 111-"},{"key":"776_CR49","first-page":"1186","volume-title":"Textbook of biochemistry: with clinical correlations","author":"TM Devlin","year":"1997","unstructured":"Devlin TM: Textbook of biochemistry: with clinical correlations. 1997, New York: Wiley, 1186-xxvii"},{"key":"776_CR50","volume-title":"Human Metabolism: Functional Diversity and Integration","author":"J Bronk","year":"1999","unstructured":"Bronk J: Human Metabolism: Functional Diversity and Integration. 1999, Harlow: Addison, Wesley, Longman"},{"key":"776_CR51","volume-title":"Human physiology: the mechanisms of body function","author":"AJ Vander","year":"1994","unstructured":"Vander AJ, Sherman JH, Luciano DS: Human physiology: the mechanisms of body function. 1994, New York: McGraw-Hill, 1: (various pagings) p"},{"key":"776_CR52","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.ab.2010.07.015","volume":"406","author":"L Liu","year":"2010","unstructured":"Liu L, Aa J, Wang G, Yan B, Zhang Y, et al, et al.: Differences in metabolite profile between blood plasma and serum. Anal Biochem. 2010, 406: 105-112. 10.1016\/j.ab.2010.07.015.","journal-title":"Anal Biochem"},{"key":"776_CR53","first-page":"549","volume-title":"Modeling in the analysis of solute and water exchange in the microvasculature","author":"JB Bassingthwaighte","year":"1984","unstructured":"Bassingthwaighte JB, Goresky CA: Modeling in the analysis of solute and water exchange in the microvasculature. Edited by: Renkin EM, Michel CC, Geiger SR. 1984, Handbook of physiology Section 2 The cardiovascular system: American Physiological Society, 549-626."},{"key":"776_CR54","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1152\/jappl.2000.89.1.81","volume":"89","author":"I Janssen","year":"2000","unstructured":"Janssen I, Heymsfield SB, Wang ZM, Ross R: Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr. J Appl Physiol. 2000, 89: 81-88.","journal-title":"J Appl Physiol"},{"key":"776_CR55","first-page":"630","volume-title":"Essentials of anatomy and physiology","author":"RR Seeley","year":"1999","unstructured":"Seeley RR, Stephens TD, Tate P: Essentials of anatomy and physiology. 1999, Boston: WCB\/McGraw-Hill, 630-xxv"},{"key":"776_CR56","doi-asserted-by":"publisher","first-page":"1164","DOI":"10.1038\/sj.ijo.0800741","volume":"22","author":"P Deurenberg","year":"1998","unstructured":"Deurenberg P, Yap M, van Staveren WA: Body mass index and percent body fat: a meta analysis among different ethnic groups. Int J Obes Relat Metab Disord. 1998, 22: 1164-1171. 10.1038\/sj.ijo.0800741.","journal-title":"Int J Obes Relat Metab Disord"},{"key":"776_CR57","first-page":"333","volume-title":"Apoptosis","author":"M Al-Rubeai","year":"2004","unstructured":"Al-Rubeai M, Fussenegger M, SpringerLink (Online service): Apoptosis. 2004, Dordrecht; Boston: Kluwer Academic Publishers, 333-ix"},{"key":"776_CR58","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1038\/nbt.1614","volume":"28","author":"JD Orth","year":"2010","unstructured":"Orth JD, Thiele I, Palsson BO: What is flux balance analysis?. Nat Biotechnol. 2010, 28: 245-248. 10.1038\/nbt.1614.","journal-title":"Nat Biotechnol"},{"key":"776_CR59","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/gm122","volume":"2","author":"NA Stephens","year":"2010","unstructured":"Stephens NA, Gallagher IJ, Rooyackers O, Skipworth RJ, Tan BH, et al, et al.: Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia. Genome Med. 2010, 2: 1-10.1186\/gm122.","journal-title":"Genome Med"},{"key":"776_CR60","doi-asserted-by":"publisher","first-page":"3521","DOI":"10.1210\/jc.2009-0212","volume":"94","author":"J Pihlajamaki","year":"2009","unstructured":"Pihlajamaki J, Boes T, Kim EY, Dearie F, Kim BW, et al, et al.: Thyroid hormone-related regulation of gene expression in human fatty liver. J Clin Endocrinol Metab. 2009, 94: 3521-3529. 10.1210\/jc.2009-0212.","journal-title":"J Clin Endocrinol Metab"}],"container-title":["BMC Systems Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1752-0509-5-180.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T17:17:33Z","timestamp":1630516653000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcsystbiol.biomedcentral.com\/articles\/10.1186\/1752-0509-5-180"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,10,31]]},"references-count":60,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2011,12]]}},"alternative-id":["776"],"URL":"https:\/\/doi.org\/10.1186\/1752-0509-5-180","relation":{},"ISSN":["1752-0509"],"issn-type":[{"value":"1752-0509","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,10,31]]},"assertion":[{"value":"28 July 2011","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 October 2011","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 October 2011","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"180"}}