<HashMap><database>BioModels</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Svg>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028.svg</Svg><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028-biopax3.owl</Owl><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028-biopax2.owl</Owl><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028_urn.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028_url.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028.xpp</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028.sci</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028.png</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1411240028?filename=MODEL1411240028.m</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Adil Mardinoglu</submitter><curationStatus>Non-curated</curationStatus><levelVersion>L2V3</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL1411240028</full_dataset_link><publication_pubmed>25613900</publication_pubmed><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Uhlén2015   Human tissue based proteome metabolic network   prostate</tokenised_name><publication_year>2015</publication_year><submissionId>MODEL1411240028</submissionId><modelFlag>Non Kinetic</modelFlag><publication_authors>Mathias Uhlen, Linn Fagerberg, Björn M Hallström, Cecilia Lindskog, Per Oksvold, Adil Mardinoglu, Åsa Sivertsson, Caroline Kampf, Evelina Sjöstedt, Anna Asplund, IngMarie Olsson, Karolina Edlund, Emma Lundberg, Sanjay Navani, Cristina Al-Khalili Szigyarto, Jacob Odeberg, Dijana Djureinovic, Jenny Ottosson Takanen, Sophia Hober, Tove Alm, Per-Henrik Edqvist, Holger Berling, Hanna Tegel, Jan Mulder, Johan Rockberg, Peter Nilsson, Jochen M Schwenk, Marica Hamsten, Kalle von Feilitzen, Mattias Forsberg, Lukas Persson, Fredric Johansson, Martin Zwahlen, Gunnar von Heijne, Jens Nielsen, Fredrik Pontén</publication_authors><first_author>Mathias Uhlen</first_author><publication>25613900,
                            Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.. 6220, 347.
                            Science for Life Laboratory, KTH-Royal Institute of Technology, SE-171 21 Stockholm, Sweden. Department of Proteomics, KTH-Royal Institute of Technology, SE-106 91 Stockholm, Sweden. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Hørsholm, Denmark. mathias.uhlen@scilifelab.se.</publication><submitter_mail>adilm@chalmers.se</submitter_mail><submitter_affiliation>Chalmers University of Technology</submitter_affiliation><pubmed_abstract>Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.</pubmed_abstract><pubmed_title>Proteomics. Tissue-based map of the human proteome.</pubmed_title><pubmed_authors>Uhlén Mathias M, Fagerberg Linn L, Hallström Björn M BM, Lindskog Cecilia C, Oksvold Per P, Mardinoglu Adil A, Sivertsson Åsa Å, Kampf Caroline C, Sjöstedt Evelina E, Asplund Anna A, Olsson IngMarie I, Edlund Karolina K, Lundberg Emma E, Navani Sanjay S, Szigyarto Cristina Al-Khalili CA, Odeberg Jacob J, Djureinovic Dijana D, Takanen Jenny Ottosson JO, Hober Sophia S, Alm Tove T, Edqvist Per-Henrik PH, Berling Holger H, Tegel Hanna H, Mulder Jan J, Rockberg Johan J, Nilsson Peter P, Schwenk Jochen M JM, Hamsten Marica M, von Feilitzen Kalle K, Forsberg Mattias M, Persson Lukas L, Johansson Fredric F, Zwahlen Martin M, von Heijne Gunnar G, Nielsen Jens J, Pontén Fredrik F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Uhlén2015 - Human tissue-based proteome metabolic network - prostate</name><description>
      
        Uhlén2015 - Human tissue-based proteome metabolic network - prostate

Human prostate specific proteome metabolic network 


  This model is described in the article:
  
    
    Tissue-based map of the human proteome
    
  
   Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
  Science 2015 January; 347(6220)
  Abstract:
  
    
    Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray–based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. 
    
  


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  and identified by: 
  MODEL1411240028.
  To cite BioModels Database, please use: 
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  To the extent possible under law, all copyright and related or
  neighbouring rights to this encoded model have been dedicated to
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