Unknown

Dataset Information

0

Uhlén2017 - TCGA-02-0047-01A - Glioblastoma Multiforme (male, 79 years)


ABSTRACT:

This is a whole genome metabolism model of a male patient diagnosed at the age of 79 years with Glioblastoma Multiforme affecting the patient's brain.

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-02-0047-01A 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 MODEL1707110000.

Other models with the same disease include MODEL1707110001 MODEL1707110002 MODEL1707110003 MODEL1707110004 MODEL1707110052 MODEL1707110053 MODEL1707110054 MODEL1707110055 MODEL1707110056 MODEL1707110057 MODEL1707110058 MODEL1707110059 MODEL1707110060 MODEL1707110061 MODEL1707110062 MODEL1707110063 MODEL1707110064 MODEL1707110065 MODEL1707110066 MODEL1707110067 MODEL1707110068 MODEL1707110069 MODEL1707110070 MODEL1707110071 MODEL1707110072 MODEL1707110073 MODEL1707110074 MODEL1707110075 MODEL1707110076 MODEL1707110077 MODEL1707110078 MODEL1707110079 MODEL1707110080 MODEL1707110081 MODEL1707110082 MODEL1707110083 MODEL1707110084 MODEL1707110085 MODEL1707110086 MODEL1707110087 MODEL1707110088 MODEL1707110089 MODEL1707110090 MODEL1707110091 MODEL1707110092 MODEL1707110093 MODEL1707110094 MODEL1707110095 MODEL1707110096 MODEL1707110097 MODEL1707110098 MODEL1707110099 MODEL1707110100 MODEL1707110101 MODEL1707110102 MODEL1707110103 MODEL1707110104 MODEL1707110105 MODEL1707110127 MODEL1707110128 MODEL1707110129 MODEL1707110130 MODEL1707110131 MODEL1707110132 MODEL1707110133 MODEL1707110134 MODEL1707110135 MODEL1707110185 MODEL1707110186 MODEL1707110187 MODEL1707110188 MODEL1707110189 MODEL1707110190 MODEL1707110191 MODEL1707110192 MODEL1707110193 MODEL1707110194 MODEL1707110195 MODEL1707110210 MODEL1707110211 MODEL1707110212 MODEL1707110213 MODEL1707110214 MODEL1707110215 MODEL1707110216 MODEL1707110217 MODEL1707110372 MODEL1707110373 MODEL1707110374 MODEL1707110375 MODEL1707110376 MODEL1707110377 MODEL1707110378 MODEL1707110379 MODEL1707110380 MODEL1707110381 MODEL1707110382 MODEL1707110383 MODEL1707110384 MODEL1707110385 MODEL1707110386 MODEL1707110387 MODEL1707110388 MODEL1707110389 MODEL1707110390 MODEL1707110391 MODEL1707110392 MODEL1707110393 MODEL1707110394 MODEL1707110395 MODEL1707110396 MODEL1707110397 MODEL1707110398 MODEL1707110399 MODEL1707110400 MODEL1707110401 MODEL1707110402 MODEL1707110579 MODEL1707110580 MODEL1707110581 MODEL1707110582 MODEL1707110583 MODEL1707110584 MODEL1707110585 MODEL1707110586 MODEL1707110587 MODEL1707110588 MODEL1707110691 MODEL1707110692 MODEL1707110693 MODEL1707110694 MODEL1707110695 MODEL1707111179 MODEL1707111180 MODEL1707111181 MODEL1707111182 MODEL1707111183 MODEL1707111184 .

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: MODEL1707110000 | biostudies-other |

SECONDARY ACCESSION(S): 28818916

REPOSITORIES: biostudies-other

altmetric image

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]

Similar Datasets

| MODEL1707111946 | biostudies-other
| MODEL1707110789 | biostudies-other
| MODEL1707110689 | biostudies-other
| MODEL1707110502 | biostudies-other
| MODEL1707110430 | biostudies-other
| MODEL1707110024 | biostudies-other
| MODEL1707110440 | biostudies-other
| MODEL1707110525 | biostudies-other
| MODEL1707110445 | biostudies-other
| MODEL1707110196 | biostudies-other