Data-driven modeling of molecular interactions at the trans-Golgi network of mammalian cells
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Beschreibung
In this thesis simulation models have been developed and validated to investigate the protein-lipid interaction mechanisms at the trans-Golgi network (TGN) of mammalian cells. In two systems biological studies, ordinary differential equation models were used to examine the interactions between the lipids involved in the sphingomyelin synthase 1 reaction at the TGN and the proteins involved in the regulation of non-vesicular Endoplasmic reticulum to TGN ceramide transfer. These systems include the lipids ceramide, phosphatidyl choline, diacylglycerol and sphingomyelin and the proteins protein kinase D (PKD), phosphatidyl inositol-4-kinase III ß and ceramide transfer protein (CERT), respectively.
The final results comprise a quantitative model of this network, and a comparison of competing hypotheses regarding the mechanism of ceramide transfer. Major biological findings are that PKD and CERT work together in a cooperative manner to perform ceramide transfer by forming a positive feedback regulation. Important methodological side results of this thesis are a novel absolute quantification scheme for proteins via Western Blot data and a Bayesian experiment design method.
Autor*in
Patrick Weber
Themen in »Data-driven modeling of molecular interactions at the trans-Golgi network of mammalian cells«
Computational model PKD CERT Bayesian inference Trans-golgi network