Web page: https://itb.biologie.hu-berlin.de/
City: 10115 Berlin
Philippstr. 13, Haus 4
We are investigating liver metabolism and function with the help of computational models and methods.
Group Leader Dr. Matthias König
The König group works on computational modeling, data science, data management, bioinformatics methods and machine learning on ...
Former postdoc in the Theoretical Biophysics group headed by Edda Klipp at Humboldt-Universität zu Berlin and member of the LiSyM network, I am now an independent Group Leader at the Technical University of Munich focusing on developing an advanced bioinformatics toolbox for analyzing, integrating, and mining of various omics data in the context of precision medicine as well as molecular disease and patient subtyping.
Interested in modelling metabolism, predicting metabolic phenotypes and dynamic transitions in metabolism. Also using partially and incompletely characterized models (probabilistic predictions).
LiSyM-Krebs ist ein nationales Forschungsnetz zur Früherkennung und Prävention von Leberkrebs, das unter Verwendung des systemmedizinischen Forschungsansatzes die komplexen, dynamischen Prozesse der Krankheitsprogression analysiert, um ausgehend von den Erkenntnissen aus dem Forschungsnetz LiSyM die Entstehung von Leberkrebs besser zu verstehen, vorherzusagen und im besten Fall sogar zu verhindern. LiSyM-Krebs setzt die erfolgreichen Forschungsaktivitäten der BMBF-Vorgängerprogramme ...
Web page: Not specified
Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...
Projects: LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM PALs, Project Management PTJ, LiSyM network, LiSyM Scientific Leadership Team (LiSyM-LT)
Web page: https://www.lisym.org/
SMART-NAFLD : A Systems Medicine Approach to Early Detection and Prevention of Hepatocellular Carcinoma in Non-Alcoholic Fatty Liver Disease
The massive increase in obesity is leading to an alarming rise in non-alcoholic liver disease (NAFLD). This development will lead to a dramatic increase in liver diseases such as hepatocellular carcinoma (HCC). A particular challenge is that NAFLD-associated HCCs, for reasons still unknown, not only occur in association with advanced liver fibrosis/cirrhosis, ...
Public web page: Not specified
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?
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
Disorders of the liver show up through changes in blood tests. These blood tests indicate markers for events taking place in the liver. Usually studies of liver tissue cannot be performed: as liver samples would need to be obtained through a liver biopsy, and this procedure is not without risk, therefore these samples are usually unavailable. Complex metabolism models based on existing and new scientific data can simulate changes in the liver caused by disease. They often reveal unknown relationships ...
Programme: LiSyM: Liver Systems Medicine
Start date: 1st Jan 2016
Organisms: Homo sapiens