LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI) (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; LiSyM network (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; LiSyM-Krebs Partnering (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; LiSyM-Krebs Partnering (Dr. Margarete Fischer-Bosch-Institut für Klinische Pharmakologie)
One of the tasks of the healthy liver is to store fat. Yet, at some stage, too much fat makes the liver sick. One critical time point occurs when a healthy fatty liver becomes inflamed and progresses to steatohepatitis, or NASH.
LiSyM-Pillar I will identify what events lead to this transition. Does it occur in all parts of the liver? Which molecules indicate that it is taking place? Can the degeneration be stopped or undone - and if so, how?
Public web page: http://www.lisym.org/our-work/pillar-research/zones-of-the-liver
Start date: 1st Jan 2016
This generic project is intended to be a forum for all LiSyM partner and external stakeholders interested in participating in the BMBF initiative LiSyM-Krebs.
Organisms: Not specified
Authors: Nachiket Vartak, Georgia Guenther, Florian Joly, Amruta Damle‐Vartak, Gudrun Wibbelt, Jörns Fickel, Simone Jörs, Brigitte Begher‐Tibbe, Adrian Friebel, Kasimir Wansing, Ahmed Ghallab, Marie Rosselin, Noemie Boissier, Irene Vignon‐Clementel, Christian Hedberg, Fabian Geisler, Heribert Hofer, Peter Jansen, Stefan Hoehme, Dirk Drasdo, Jan G. Hengstler
Date Published: 19th Jun 2020
Publication Type: Journal
Date Published: 1st Feb 2020
Publication Type: Journal
Citation: Biomech Model Mechanobiol 19(1):189-220
Authors: Erik Kolbe, Susanne Aleithe, Christiane Rennert, Luise Spormann, Fritzi Ott, David Meierhofer, Robert Gajowski, Claus Stöpel, Stefan Hoehme, Michael Kücken, Lutz Brusch, Michael Seifert, Witigo von Schoenfels, Clemens Schafmayer, Mario Brosch, Ute Hofmann, Georg Damm, Daniel Seehofer, Jochen Hampe, Rolf Gebhardt, Madlen Matz-Soja
Date Published: 1st Dec 2019
Publication Type: Not specified
Citation: Cell Reports 29(13) : 4553
Computational models complement experimental methods in the analysis of tissue organization processes, and play an increasingly important role in systems biology and systems medicine. Creating and parameterizing mathematical models for the simulation of biological tissue dynamics at multiple scales is still a complex and resource-consuming task, which necessitates skills in diverse scientific disciplines. The software TiSim was conceived to facilitate programming, integration and deployment of
Submitter: Tim Johann