Uhlén2017 - TCGA-BF-A1PU-01A - Skin Cuteneous Melanoma (female, 47 years)

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This is a whole genome metabolism model of a female patient diagnosed at the age of 47 years with Skin Cuteneous Melanoma affecting the patient's skin.

This model was automatically generated by tINIT (Agren, R., et al. (2014). Identification of anticancer drugs for hepatocellular carcinoma through personalized genome-scale metabolic modeling. Mol Syst Biol; 10(3), 721.) using information coming from the sample TCGA-BF-A1PU-01A from GDC Portal (Initial release 1.0, accessed via GDC API) and, where relevant, augmented with metabolic pathway information extracted from Human Metabolic Atlas.

This model has been produced by Human Pathology Atlas project ( Uhlen, M., et al.; A pathology atlas of the human cancer transcriptome. Science.) and is currently hosted on BioModels Database and identified by MODEL1707112675.

Other models with the same disease include MODEL1707112676 MODEL1707112677 MODEL1707112678 MODEL1707112679 MODEL1707112680 MODEL1707112681 MODEL1707112682 MODEL1707112683 MODEL1707112684 MODEL1707112685 MODEL1707112686 MODEL1707112687 MODEL1707112688 MODEL1707112689 MODEL1707112690 MODEL1707112691 MODEL1707112692 MODEL1707113891 MODEL1707114025 MODEL1707114026 MODEL1707114027 MODEL1707114599 MODEL1707114600 MODEL1707114601 MODEL1707114602 MODEL1707114603 MODEL1707114604 MODEL1707114605 MODEL1707114606 MODEL1707114607 MODEL1707114608 MODEL1707114609 MODEL1707114610 MODEL1707114611 MODEL1707114612 MODEL1707114613 MODEL1707114614 MODEL1707114615 MODEL1707114616 MODEL1707114617 MODEL1707114618 MODEL1707114619 MODEL1707114620 MODEL1707114621 MODEL1707114622 MODEL1707114623 MODEL1707114624 MODEL1707114625 MODEL1707114626 MODEL1707114627 MODEL1707114628 MODEL1707114629 MODEL1707114630 MODEL1707114631 MODEL1707114632 MODEL1707114633 MODEL1707114634 MODEL1707114939 MODEL1707114940 MODEL1707114941 MODEL1707114942 MODEL1707115218 MODEL1707115219 MODEL1707115220 MODEL1707115221 MODEL1707115244 MODEL1707115406 MODEL1707115407 MODEL1707115440 MODEL1707115441 MODEL1707115576 MODEL1707115678 MODEL1707116612 MODEL1707116613 MODEL1707116614 MODEL1707116615 MODEL1707116616 .

To cite BioModels, please use: V Chelliah et al; BioModels: ten-year anniversary. Nucleic Acids Res 2015; 43 (D1): D542-D548.

To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Related Publication
  • A pathology atlas of the human cancer transcriptome.
  • Uhlen M, Zhang C, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G, Benfeitas R, Arif M, Liu Z, Edfors F, Sanli K, von Feilitzen K, Oksvold P, Lundberg E, Hober S, Nilsson P, Mattsson J, Schwenk JM, Brunnström H, Glimelius B, Sjöblom T, Edqvist PH, Djureinovic D, Micke P, Lindskog C, Mardinoglu A, Ponten F
  • Science (New York, N.Y.) , 8/ 2017 , Volume 357 , Issue 6352 , PubMed ID: 28818916
  • School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden.
  • Cancer is one of the leading causes of death, and there is great interest in understanding the underlying molecular mechanisms involved in the pathogenesis and progression of individual tumors. We used systems-level approaches to analyze the genome-wide transcriptome of the protein-coding genes of 17 major cancer types with respect to clinical outcome. A general pattern emerged: Shorter patient survival was associated with up-regulation of genes involved in cell growth and with down-regulation of genes involved in cellular differentiation. Using genome-scale metabolic models, we show that cancer patients have widespread metabolic heterogeneity, highlighting the need for precise and personalized medicine for cancer treatment. All data are presented in an interactive open-access database (www.proteinatlas.org/pathology) to allow genome-wide exploration of the impact of individual proteins on clinical outcomes.
Adil Mardinoglu

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Model files

MODEL1707112675.xml Patient derived genome scale metabolic model for Skin Cuteneous Melanoma 8.16 MB Preview | Download

Additional files

Skin Cuteneous Melanoma.zip All 'Skin Cuteneous Melanoma' models 19.83 MB Preview | Download

  • Model originally submitted by : Adil Mardinoglu
  • Submitted: Aug 17, 2017 5:58:43 PM
  • Last Modified: Jan 7, 2020 5:52:23 PM
  • Version: 3 public model Download this version
    • Submitted on: Jan 7, 2020 5:52:23 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Import of 'Uhlén2017 - TCGA-BF-A1PU-01A - Skin Cuteneous Melanoma (female, 47 years)'.
  • Version: 2 public model Download this version
    • Submitted on: Aug 17, 2017 5:58:33 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Current version of Uhlén2017 - TCGA-BF-A1PU-01A - Skin Cuteneous Melanoma (female, 47 years)
  • Version: 1 public model Download this version
    • Submitted on: Aug 17, 2017 5:58:43 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Original import of MODEL1707112675.xml.origin

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