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Uhlén2017 - TCGA-KL-8323-01A - Kidney Chromophobe (female, 58 years)


ABSTRACT:

This is a whole genome metabolism model of a female patient diagnosed at the age of 58 years with Kidney Chromophobe affecting the patient's kidney.

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-KL-8323-01A 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 MODEL1707115853.

Other models with the same disease include MODEL1707115854 MODEL1707115855 MODEL1707115856 MODEL1707115857 MODEL1707115858 MODEL1707115859 MODEL1707115860 MODEL1707115861 MODEL1707115862 MODEL1707115863 MODEL1707115864 MODEL1707115865 MODEL1707115866 MODEL1707115867 MODEL1707115868 MODEL1707115869 MODEL1707115870 MODEL1707115871 MODEL1707115872 MODEL1707115873 MODEL1707115874 MODEL1707115875 MODEL1707115876 MODEL1707115877 MODEL1707115878 MODEL1707115879 MODEL1707115880 MODEL1707115881 MODEL1707115882 MODEL1707115883 MODEL1707115884 MODEL1707115885 MODEL1707115886 MODEL1707115887 MODEL1707115888 MODEL1707115889 MODEL1707115890 MODEL1707115891 MODEL1707115892 MODEL1707115893 MODEL1707115894 MODEL1707115895 MODEL1707115896 MODEL1707115897 MODEL1707115898 MODEL1707115899 MODEL1707115900 MODEL1707115901 MODEL1707115902 MODEL1707115903 MODEL1707115904 MODEL1707115905 MODEL1707115906 .

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.

ORGANISM(S): Homo sapiens

SUBMITTER: Adil Mardinoglu 

PROVIDER: MODEL1707115853 | biostudies-other |

SECONDARY ACCESSION(S): 28818916

REPOSITORIES: biostudies-other

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Publications


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 o  ...[more]

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