Primary hepatocytes were exposed to a stimulus by exchanging culture medium, thereby simulating changes in the blood composition. The expression of genes at different time points was recorded. Differentially expressed genes were clustered using fuzzy c-means algorithm into five groups. The arcs of the possible network were identified using the NetGenerator algorithm under the restriction of biological knowledge. The analysis was restricted to the main metabolic pathways of hepatocytes. The reverse engineering approach was applied to validate the data and a network of interacting genes was generated. Pyruvate kinase and pyruvat carboxylase are genes that rapidly respond to the changes in the medium composition.
This model was copied from the Virtual Liver SEEK to demonstrate the model capabilities of FungiNet SEEK. It was not generated in the FungiNet consortium!
Organism: Not specified
Model type: Ordinary differential equations (ODE)
Model format: SBML
Execution or visualisation environment: JWS Online
Model image: (Click on the image to zoom)
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Created: 6th Jun 2017 at 07:38
Last updated: 27th Feb 2018 at 13:25
Last used: 20th Jun 2019 at 17:20