Spatio-temporal model of YAP activation during liver regeneration
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM network

For the spatio-temporal dynamics of bile transport, bile canalicular dilation, mechanical stimulation and transduction of YAP signaling during liver regeneration see the open access publication and its appendix:
Meyer et al. (2020) Bile canaliculi remodeling activates YAP via the actin cytoskeleton during liver regeneration. Molecular Systems Biology 16:e8985. https://doi.org/10.15252/msb.20198985

The model format is MorpheusML that can readily be loaded and run in the free and open source software
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Creator: Lutz Brusch

Submitter: Lutz Brusch

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Morpheus: open source modelling and simulation framework for multicellular systems
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM PALs

Morpheus is the modelling and simulation framework for multicellular systems biology developed at Technische Universität Dresden.
Manual, examples and binaries for Windows, Linux, MacOS at: https://morpheus.gitlab.io
Open source code at: https://gitlab.com/morpheus.lab/morpheus

Creators: Lutz Brusch, Jörn Starruß, Walter de Back, Andreas Deutsch

Submitter: Lutz Brusch

Towards standardization guidelines for in silico approaches in personalized medicine.
LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM network

Abstract (Expand)

Despite the ever-progressing technological advances in producing data in health and clinical research, the generation of new knowledge for medical benefits through advanced analytics still lags behind … its full potential. Reasons for this obstacle are the inherent heterogeneity of data sources and the lack of broadly accepted standards. Further hurdles are associated with legal and ethical issues surrounding the use of personal/patient data across disciplines and borders. Consequently, there is a need for broadly applicable standards compliant with legal and ethical regulations that allow interpretation of heterogeneous health data through in silico methodologies to advance personalized medicine. To tackle these standardization challenges, the Horizon2020 Coordinating and Support Action EU-STANDS4PM initiated an EU-wide mapping process to evaluate strategies for data integration and data-driven in silico modelling approaches to develop standards, recommendations and guidelines for personalized medicine. A first step towards this goal is a broad stakeholder consultation process initiated by an EU-STANDS4PM workshop at the annual COMBINE meeting (COMBINE 2019 workshop report in same issue). This forum analysed the status quo of data and model standards and reflected on possibilities as well as challenges for cross-domain data integration to facilitate in silico modelling approaches for personalized medicine.

Authors: S. Brunak, C. Bjerre Collin, K. Eva O Cathaoir, M. Golebiewski, M. Kirschner, I. Kockum, H. Moser, D. Waltemath

Date Published: 24th Jul 2020

Publication Type: Journal

Bile canaliculi remodeling activates YAP via the actin cytoskeleton during liver regeneration
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI)

Abstract (Expand)

The mechanisms of organ size control remain poorly understood. A key question is how cells collectively sense the overall status of a tissue. We addressed this problem focusing on mouse liver regeneration. … Using digital tissue reconstruction and quantitative image analysis, we found that the apical surface of hepatocytes forming the bile canalicular network expands concomitant with an increase in F‐actin and phospho‐myosin, to compensate an overload of bile acids. These changes are sensed by the Hippo transcriptional co‐activator YAP, which localizes to apical F‐actin‐rich regions and translocates to the nucleus in dependence of the integrity of the actin cytoskeleton. This mechanism tolerates moderate bile acid fluctuations under tissue homeostasis, but activates YAP in response to sustained bile acid overload. Using an integrated biophysical–biochemical model of bile pressure and Hippo signaling, we explained this behavior by the existence of a mechano‐sensory mechanism that activates YAP in a switch‐like manner. We propose that the apical surface of hepatocytes acts as a self‐regulatory mechano‐sensory system that responds to critical levels of bile acids as readout of tissue status.

Authors: Kirstin Meyer, Hernan Morales‐Navarrete, Sarah Seifert, Michaela Wilsch‐Braeuninger, Uta Dahmen, Elly M Tanaka, Lutz Brusch, Yannis Kalaidzidis, Marino Zerial

Date Published: 24th Feb 2020

Publication Type: Not specified

Wet-tip versus dry-tip regimes of osmotically driven fluid flow
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI)

Abstract (Expand)

The secretion of osmolytes into a lumen and thereby caused osmotic water inflow can drive fluid flows in organs without a mechanical pump. Such fluids include saliva, sweat, pancreatic juice and bile. … The effects of elevated fluid pressure and the associated mechanical limitations of organ function remain largely unknown since fluid pressure is difficult to measure inside tiny secretory channels in vivo. We consider the pressure profile of the coupled osmolyte-flow problem in a secretory channel with a closed tip and an open outlet. Importantly, the entire lateral boundary acts as a dynamic fluid source, the strength of which self-organizes through feedback from the emergent pressure solution itself. We derive analytical solutions and compare them to numerical simulations of the problem in three-dimensional space. The theoretical results reveal a phase boundary in a four-dimensional parameter space separating the commonly considered regime with steady flow all along the channel, here termed “wet-tip” regime, from a “dry-tip” regime suffering ceased flow downstream from the closed tip. We propose a relation between the predicted phase boundary and the onset of cholestasis, a pathological liver condition with reduced bile outflow. The phase boundary also sets an intrinsic length scale for the channel which could act as a length sensor during organ growth.

Authors: Oleksandr Ostrenko, Jochen Hampe, Lutz Brusch

Date Published: 1st Dec 2019

Publication Type: Not specified

pSSAlib: The partial-propensity stochastic chemical network simulator
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI)

Abstract (Expand)

Chemical reaction networks are ubiquitous in biology, and their dynamics is fundamentally stochastic. Here, we present the software library pSSAlib, which provides a complete and concise implementation … of the most efficient partial-propensity methods for simulating exact stochastic chemical kinetics. pSSAlib can import models encoded in Systems Biology Markup Language, supports time delays in chemical reactions, and stochastic spatiotemporal reaction-diffusion systems. It also provides tools for statistical analysis of simulation results and supports multiple output formats. It has previously been used for studies of biochemical reaction pathways and to benchmark other stochastic simulation methods. Here, we describe pSSAlib in detail and apply it to a new model of the endocytic pathway in eukaryotic cells, leading to the discovery of a stochastic counterpart of the cut-out switch motif underlying early-to-late endosome conversion. pSSAlib is provided as a stand-alone command-line tool and as a developer API. We also provide a plug-in for the SBMLToolbox. The open-source code and pre-packaged installers are freely available from http://mosaic.mpi-cbg.de.

Authors: Oleksandr Ostrenko, Pietro Incardona, Rajesh Ramaswamy, Lutz Brusch, Ivo F. Sbalzarini

Date Published: 4th Dec 2017

Publication Type: Not specified

A Predictive 3D Multi-Scale Model of Biliary Fluid Dynamics in the Liver Lobule
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI)

Abstract (Expand)

Bile, the central metabolic product of the liver, is transported by the bile canaliculi network. The impairment of bile flow in cholestatic liver diseases has urged a demand for insights into its … regulation. Here, we developed a predictive 3D multi-scale model that simulates fluid dynamic properties successively from the subcellular to the tissue level. The model integrates the structure of the bile canalicular network in the mouse liver lobule, as determined by high-resolution confocal and serial block-face scanning electron microscopy, with measurements of bile transport by intravital microscopy. The combined experiment-theory approach revealed spatial heterogeneities of biliary geometry and hepatocyte transport activity. Based on this, our model predicts gradients of bile velocity and pressure in the liver lobule. Validation of the model predictions by pharmacological inhibition of Rho kinase demonstrated a requirement of canaliculi contractility for bile flow in vivo. Our model can be applied to functionally characterize liver diseases and quantitatively estimate biliary transport upon drug-induced liver injury.

Authors: Kirstin Meyer, Oleksandr Ostrenko, Georgios Bourantas, Hernan Morales-Navarrete, Natalie Porat-Shliom, Fabian Segovia-Miranda, Hidenori Nonaka, Ali Ghaemi, Jean-Marc Verbavatz, Lutz Brusch, Ivo Sbalzarini, Yannis Kalaidzidis, Roberto Weigert, Marino Zerial

Date Published: 1st Mar 2017

Publication Type: Not specified

Morpheus: A user-friendly and extensible simulation framework supporting declarative modeling
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI)

Computational modeling and simulation become increasingly important for Systems Medicine. A number of corresponding software tools have been developed but require scientists to encode their models in an imperative programming language. Morpheus [1,2], on the other hand, is an extensible open-source software framework that is entirely based on declarative modeling. It uses the domain-specific language MorpheusML to define multicellular models through a user-friendly GUI and has since proven
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Creators: Lutz Brusch, Michael Kücken

Submitter: Lutz Brusch

Integration of Representative Sinusoids into a Physiologically Based Whole-Body Model for a Detailed Description of Biliary Transport
LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP)

Poster at SBMC 2018

Creators: Lars Ole Schwen, Lars Kuepfer, Ahmed Ghallab, Jan Hengstler, Tobias Preusser, Raymond Reif

Submitter: Lars Ole Schwen

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