Morpheus model of spatio-temporal liver zonation from Wnt-Hh crosstalk Version 1
Spatio-temporal liver zonation in mouse and human with Wnt-Hh crosstalk and transport are modeled using coupled partial differential equations. The model file is in MorpheusML format and can be opened in the free, open-source multicellular modeling software Morpheus (https://morpheus.gitlab.io). In Morpheus, the model will simulate the time course (movie) of dynamic liver zonation for a 2D cross-section of several liver lobules, showing the patterns of Wnt ligands, intracellular Wnt signaling, IHH, SHH, GLI3. The final state of this spatio-temporal simulation reproduces the control condition in Figure 5B of the publication (Kolbe et al., 2019).
SEEK ID: https://fairdomhub.org/models/759?version=1
1 item (and an image) are associated with this Model:-
Spatio-temporal-model-of-liver-zonation-MorpheusML.xml (XML document - 6.23 KB)
Organism: Mus musculus
Model type: Partial differential equations (PDE)
Model format: Not specified
Execution or visualisation environment: Not specified
Model image: (Click on the image to zoom) (Original)
Export PNG
Creators and Submitter
Views: 1359 Downloads: 58
Created: 27th Nov 2020 at 16:38
Last updated: 27th Nov 2020 at 16:54
Tags Attributions
Version History
Version 1 (earliest) Created 27th Nov 2020 at 16:38 by Lutz Brusch
No revision comments
Related items
https://orcid.org/0000-0003-0137-5106Lutz Brusch is heading the research group "Spatio-temporal pattern formation in cells and tissues" at the Centre for Information Services and High Performance Computing of TU Dresden, Germany. The group is co-developing the multi-cellular modelling and simulation framework Morpheus (https://morpheus.gitlab.io) and is collaborating with experimental labs on questions of tissue morphogenesis and regeneration.
This is the exchange platform of the COMBINE network.
COMBINE is an initiative to coordinate the development of various community standards and formats for computational models: BioPax, CellML, NeuroML, Synthetic Biology Open Language (SBOL), Systems Biology Graphical Notation (SBGN), Systems Biology Markup Language (SBML), Simulation Experiment Description Markup Language (SED-ML).
Projects: COMBINE Multicellular Modelling, ModeleXchange initiative
Web page: http://co.mbine.org
LiSyM (Liver Systems Medicine) represents a research network of German centers and institutions, brought together by a 20 Million Euro funding program of the German Government, in which mathematicians, modelers, pharmacologists, molecular biologists and clinical scientists work together to develop a Systems Medicine approach to study early and advanced liver disease. The aim of this unique research program is to acquire and use new experimental data and data from existing data bases to build ...
Projects: Early Metabolic Injury (LiSyM-EMI - Pillar I), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), LiSyM Core Infrastructure and Management (LiSyM-PD), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), FAIRDOM & LiSyM & de.NBI Data Structuring Training, New LiSyM project
Web page: http://www.lisym.org
Programme: COMBINE (Computational Modeling in Biology Network)
Public web page: https://multicellml.org/
Programme: LiSyM - Systems Medicine of the Liver
Public web page: Not specified
Abstract (Expand)
Authors: E. Kolbe, S. Aleithe, C. Rennert, L. Spormann, F. Ott, D. Meierhofer, R. Gajowski, C. Stopel, S. Hoehme, M. Kucken, L. Brusch, M. Seifert, W. von Schoenfels, C. Schafmayer, M. Brosch, U. Hofmann, G. Damm, D. Seehofer, J. Hampe, R. Gebhardt, M. Matz-Soja
Date Published: 24th Dec 2019
Publication Type: Journal
