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Rebekka Schlatter

Researcher at University of Stuttgart

Publications -  9
Citations -  360

Rebekka Schlatter is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Fas ligand & Systems biology. The author has an hindex of 6, co-authored 9 publications receiving 340 citations.

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ON/OFF and Beyond - A Boolean Model of Apoptosis

TL;DR: A large-scale literature-based Boolean model of the central intrinsic and extrinsic apoptosis pathways as well as pathways connected with them is built and gives new insights into the complex interplay of pro- and antiapoptotic factors and can be easily expanded to other signaling pathways.
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Modeling system states in liver cells: survival, apoptosis and their modifications in response to viral infection.

TL;DR: A network model for apoptosis and crosstalk in hepatocytes shows four different system states and reproduces a number of different conditions around apoptosis including effects of different growth substrates and viral infections.
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Integration of Boolean models exemplified on hepatocyte signal transduction

TL;DR: In this article, the authors discuss model combination approaches for Boolean models and propose modelling standards for combining Boolean models as a prerequisite for smooth model integration, and demonstrate the coupling of two logical models on two different examples concerning cellular interactions in the liver.
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Tumor necrosis factor α sensitizes primary murine hepatocytes to Fas/CD95-induced apoptosis in a Bim- and Bid-dependent manner

TL;DR: It is reported that TNF α sensitizes primary murine hepatocytes cultured on collagen to Fas ligand (FasL)–induced apoptosis and the mechanism of TNFα‐induced sensitization is supported by a mathematical model that correctly reproduces the biological findings.
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Modeling the TNFα-induced apoptosis pathway in hepatocytes.

TL;DR: A mathematical model reproduces the complex interplay regulating the phosphorylation status of JNK and generation of ROS and delivers insight in the dynamical interplay between the TNFα and FasL pathways, NF-κB and ROS.