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This is the genome-scale metabolic network described in the article: Computational reconstruction of tissue-specific metabolic models: application to human liver metabolism Livnat Jerby, Tomer Shlomi, and Eytan Ruppin; Molecular Systems Biology 6:401, 2010; PmID: ...
2005-01-01 | MODEL1009150002 | BioModels
Shlomi2011 - Warburg effect, metabolic model Using a genome-scale human metabolic network model accounting for stoichiometric and enzyme solvent capacity considerations, this model shows that the Warburg effect (a classical hallmark of cancer metabolism) is a direct consequence of...
2005-01-01 | MODEL1105100000 | BioModels
The project analyzed 88 breast cancer clinical samples, including lymph node negative and positive primary tumors, lymph node metastases, and healthy tissue as control. All samples were combined with a super-SILAC mix that served as an internal standard for quantification.
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2016-06-16 | MSV000079830 | MassIVE
This study aims to establish a comprehensive, genome-scale metabolic model (GSMM) combining different omics data of different regulatory levels of breast cancer cells in order to elucidate the way that these regulatory levels affect or determine each other. Together with transcriptomics, proteomics ...
2021-01-18 | MTBLS183 | MetaboLights
Non-alcoholic fatty liver disease (NAFLD) is a major risk factor leading to chronic liver disease and type 2 diabetes. Here we chart liver metabolic activity and functionality in NAFLD by integrating global transcriptomic data, from human liver biopsies, and metabolic flux data, measured across the ...
2016-12-15 | MTBLS298 | MetaboLights
Cells expressing Flag-tagged RNF5 or empty vector were incubated with the proteasome inhibitor MG132 to block protein degradation. Cell lysates were then prepared and immunoprecipitationed with anti-Flag antibody were performed, and eluates were digested with trypsin and analyzed on a Q Exactive.
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2018-11-25 | MSV000083160 | MassIVE
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