<HashMap><database>BioModels</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Pdf>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018.pdf</Pdf><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018-biopax2.owl</Owl><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018-biopax3.owl</Owl><Svg>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018.svg</Svg><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018_url.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018_urn.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018.sci</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1509220018?filename=MODEL1509220018.png</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Nicolas Rodriguez</submitter><curationStatus>Non-curated</curationStatus><levelVersion>L2V3</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL1509220018</full_dataset_link><publication_pubmed>26475342</publication_pubmed><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Mardinoglu2015   Tissue specific genome scale metabolic network   Midbrain</tokenised_name><publication_year>2015</publication_year><submissionId>MODEL1509220018</submissionId><modelFlag>Non Kinetic</modelFlag><publication_authors>Adil Mardinoglu, Saeed Shoaie, Mattias Bergentall, Pouyan Ghaffari, Cheng Zhang, Erik Larsson, Fredrik Bäckhed, Jens Nielsen</publication_authors><first_author>Adil Mardinoglu</first_author><publication>26475342,
                            The gut microbiota has been proposed as an environmental factor that promotes the progression of metabolic diseases. Here, we investigated how the gut microbiota modulates the global metabolic differences in duodenum, jejunum, ileum, colon, liver, and two white adipose tissue depots obtained from conventionally raised (CONV-R) and germ-free (GF) mice using gene expression data and tissue-specific genome-scale metabolic models (GEMs). We created a generic mouse metabolic reaction (MMR) GEM, reconstructed 28 tissue-specific GEMs based on proteomics data, and manually curated GEMs for small intestine, colon, liver, and adipose tissues. We used these functional models to determine the global metabolic differences between CONV-R and GF mice. Based on gene expression data, we found that the gut microbiota affects the host amino acid (AA) metabolism, which leads to modifications in glutathione metabolism. To validate our predictions, we measured the level of AAs and N-acetylated AAs in the hepatic portal vein of CONV-R and GF mice. Finally, we simulated the metabolic differences between the small intestine of the CONV-R and GF mice accounting for the content of the diet and relative gene expression differences. Our analyses revealed that the gut microbiota influences host amino acid and glutathione metabolism in mice.. 10, 11.
                            Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden adilm@scilifelab.se.</publication><submitter_mail>rodrigue@ebi.ac.uk</submitter_mail><submitter_affiliation>EMBL-EBI</submitter_affiliation><pubmed_abstract>The gut microbiota has been proposed as an environmental factor that promotes the progression of metabolic diseases. Here, we investigated how the gut microbiota modulates the global metabolic differences in duodenum, jejunum, ileum, colon, liver, and two white adipose tissue depots obtained from conventionally raised (CONV-R) and germ-free (GF) mice using gene expression data and tissue-specific genome-scale metabolic models (GEMs). We created a generic mouse metabolic reaction (MMR) GEM, reconstructed 28 tissue-specific GEMs based on proteomics data, and manually curated GEMs for small intestine, colon, liver, and adipose tissues. We used these functional models to determine the global metabolic differences between CONV-R and GF mice. Based on gene expression data, we found that the gut microbiota affects the host amino acid (AA) metabolism, which leads to modifications in glutathione metabolism. To validate our predictions, we measured the level of AAs and N-acetylated AAs in the hepatic portal vein of CONV-R and GF mice. Finally, we simulated the metabolic differences between the small intestine of the CONV-R and GF mice accounting for the content of the diet and relative gene expression differences. Our analyses revealed that the gut microbiota influences host amino acid and glutathione metabolism in mice.</pubmed_abstract><pubmed_title>The gut microbiota modulates host amino acid and glutathione metabolism in mice.</pubmed_title><pubmed_authors>Mardinoglu Adil A, Shoaie Saeed S, Bergentall Mattias M, Ghaffari Pouyan P, Zhang Cheng C, Larsson Erik E, Bäckhed Fredrik F, Nielsen Jens J</pubmed_authors><name_synonyms>scale tissue, mesencephalon, scale, Midbrain, Genomes, Midbrains, plant peltate hair, peltate hair, Tissue, simple tissue, MB, whole genome, scales, Mesencephalons.</name_synonyms><description_synonyms>biochemical pathways, extent, host organism, scale tissue, mesencephalon, Metabolic Process, Food Patterns, BODYFAT, Bowel, Materials, Public Sectors, Laboratory, Aminosaeure, Mus domesticus, Metabolic Concepts, mental retardation, nip, l(2)k14019, CASP-14, cd206, composed of, House Mouse, lower intestine, Small, Taenia Coli, Appendix, B1, 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        Mardinoglu2015 - Tissue-specific genome-scale
metabolic network - Midbrain

  This model is described in the article:
  
    The gut microbiota modulates
    host amino acid and glutathione metabolism in mice.
  
  Mardinoglu A, Shoaie S, Bergentall
  M, Ghaffari P, Zhang C, Larsson E, Bäckhed F, Nielsen
  J.
  Mol. Syst. Biol. 2015; 11(10):
  834
  Abstract:
  
    The gut microbiota has been proposed as an environmental
    factor that promotes the progression of metabolic diseases.
    Here, we investigated how the gut microbiota modulates the
    global metabolic differences in duodenum, jejunum, ileum,
    colon, liver, and two white adipose tissue depots obtained from
    conventionally raised (CONV-R) and germ-free (GF) mice using
    gene expression data and tissue-specific genome-scale metabolic
    models (GEMs). We created a generic mouse metabolic reaction
    (MMR) GEM, reconstructed 28 tissue-specific GEMs based on
    proteomics data, and manually curated GEMs for small intestine,
    colon, liver, and adipose tissues. We used these functional
    models to determine the global metabolic differences between
    CONV-R and GF mice. Based on gene expression data, we found
    that the gut microbiota affects the host amino acid (AA)
    metabolism, which leads to modifications in glutathione
    metabolism. To validate our predictions, we measured the level
    of AAs and N-acetylated AAs in the hepatic portal vein of
    CONV-R and GF mice. Finally, we simulated the metabolic
    differences between the small intestine of the CONV-R and GF
    mice accounting for the content of the diet and relative gene
    expression differences. Our analyses revealed that the gut
    microbiota influences host amino acid and glutathione
    metabolism in mice.
  


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  MODEL1509220018.
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  To the extent possible under law, all copyright and related or
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  the public domain worldwide. Please refer to 
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