Javascript must be enabled to continue!
CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer
View through CrossRef
We introduce a Chaste plugin for the generation and the simulation of Gene Regulatory Networks (GRNs) in multiscale models of multicellular systems. Chaste is a widely used and versatile computational framework for the multiscale modeling and simulation of multicellular biological systems. The plugin, named CoGNaC (Chaste and Gene Networks for Cancer), allows the linking of the regulatory dynamics to key properties of the cell cycle and of the differentiation process in populations of cells, which can subsequently be modeled using different spatial modeling scenarios. The approach of CoGNaC focuses on the emergent dynamical behavior of gene networks, in terms of gene activation patterns characterizing the different cellular phenotypes of real cells and, especially, on the overall robustness to perturbations and biological noise. The integration of this approach within Chaste's modular simulation framework provides a powerful tool to model multicellular systems, possibly allowing for the formulation of novel hypotheses on gene regulation, cell differentiation, and, in particular, cancer emergence and development. In order to demonstrate the usefulness of CoGNaC over a range of modeling paradigms, two example applications are presented. The first of these concerns the characterization of the gene activation patterns of human T-helper cells. The second example is a multiscale simulation of a simplified intestinal crypt, in which, given certain conditions, tumor cells can emerge and colonize the tissue.
Title: CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer
Description:
We introduce a Chaste plugin for the generation and the simulation of Gene Regulatory Networks (GRNs) in multiscale models of multicellular systems.
Chaste is a widely used and versatile computational framework for the multiscale modeling and simulation of multicellular biological systems.
The plugin, named CoGNaC (Chaste and Gene Networks for Cancer), allows the linking of the regulatory dynamics to key properties of the cell cycle and of the differentiation process in populations of cells, which can subsequently be modeled using different spatial modeling scenarios.
The approach of CoGNaC focuses on the emergent dynamical behavior of gene networks, in terms of gene activation patterns characterizing the different cellular phenotypes of real cells and, especially, on the overall robustness to perturbations and biological noise.
The integration of this approach within Chaste's modular simulation framework provides a powerful tool to model multicellular systems, possibly allowing for the formulation of novel hypotheses on gene regulation, cell differentiation, and, in particular, cancer emergence and development.
In order to demonstrate the usefulness of CoGNaC over a range of modeling paradigms, two example applications are presented.
The first of these concerns the characterization of the gene activation patterns of human T-helper cells.
The second example is a multiscale simulation of a simplified intestinal crypt, in which, given certain conditions, tumor cells can emerge and colonize the tissue.
Related Results
The Burden of Road Traffic Injuries: A Global Perspective
The Burden of Road Traffic Injuries: A Global Perspective
Introduction Road Traffic Injury (RTI) pose a significant health challenge. It represents the eighth leading cause of death globally, prompting the UN to designate 2011-2020 as...
An educational data mining plugin for Moodle: enhancing self-regulated learning through automated interventions
An educational data mining plugin for Moodle: enhancing self-regulated learning through automated interventions
Purpose
The purpose of this study was to develop and evaluate an educational data mining (EDM) plugin for the Moodle learning management system (LMS) aimed at e...
Microrna Regulation of Nodule Zone-Specific Gene Expression In Soybean
Microrna Regulation of Nodule Zone-Specific Gene Expression In Soybean
Nitrogen is a paramount important essential element for all living organisms. It has been found to bea crucial structural component of proteins, nucleic acids, enzymes and other ce...
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Abstract
A cervical rib (CR), also known as a supernumerary or extra rib, is an additional rib that forms above the first rib, resulting from the overgrowth of the transverse proce...
HyMM: Hybrid method for disease-gene prediction by integrating multiscale module structures
HyMM: Hybrid method for disease-gene prediction by integrating multiscale module structures
AbstractMotivationIdentifying disease-related genes is important for the study of human complex diseases. Module structures or community structures are ubiquitous in biological net...
FastTest Plugin: a New Plugin to Generate Moodle Quiz XML Files
FastTest Plugin: a New Plugin to Generate Moodle Quiz XML Files
The use of Learning Management Systems (LMS) has had a rapid growth over the last decades. Great efforts have been recently made to assess the level of performance of the students ...
Diagnostic Rate of the Cancer by BDORT Utilizing the Cancer Slide
Diagnostic Rate of the Cancer by BDORT Utilizing the Cancer Slide
Purpose:
To make a diagnosis of cancer with BDORT (resonance test), we can choose two methods. One is to use a chemical agent like Integrin α5β1 or Oncogene C-f...
An Economical GPS-Based Driving Cycle for 3-Wheelers: Establishing a Framework for Emission Studies
An Economical GPS-Based Driving Cycle for 3-Wheelers: Establishing a Framework for Emission Studies
The research presents a detailed approach to developing a driving cycle tailored for 3-wheelers in Sri Lanka, addressing the need for accurate emission estimation in the context of...

