Explore the words cloud of the SIMBIONT project. It provides you a very rough idea of what is the project "SIMBIONT" about.
The following table provides information about the project.
Coordinator |
EUROPEAN MOLECULAR BIOLOGY LABORATORY
Organization address contact info |
Coordinator Country | Germany [DE] |
Total cost | 2˙075˙055 € |
EC max contribution | 2˙075˙055 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2014-ADG |
Funding Scheme | ERC-ADG |
Starting year | 2015 |
Duration (year-month-day) | from 2015-09-01 to 2020-08-31 |
Take a look of project's partnership.
# | ||||
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1 | EUROPEAN MOLECULAR BIOLOGY LABORATORY | DE (HEIDELBERG) | coordinator | 1˙492˙803.00 |
2 | FUNDACIO CENTRE DE REGULACIO GENOMICA | ES (BARCELONA) | participant | 582˙251.00 |
Organogensis is the process by which multiple different cell types grow, differentiate and interact with each other (both molecularly and physically) to create large complex structures with integrated functions, such as the heart, brain or limb. Understanding this process has enormous potential impact, both scientifically and medically. The SIMBIONT project represents both a grand technical challenge, and a fundamental scientific question. The grand technical challenge is to build the first ever multi-scale computer model of mammalian organogenesis, specifically limb development. This purpose of the model is to help us address the deep scientific question: How are the complex interactions at multiple scales (genes, molecules, cells and tissues) coordinated so as to build a carefully constructed 3D organ? So far, computer modelling has helped to understand some of the pieces of this puzzle, eg. morphogen gradients, or control of tissue growth. However, putting multiple pieces together into a single multi-scale simulation remains a challenge. We will use the latest state-of-the-art quantitative data-generation techniques (including Tomo-Seq and OPTiSPIM), to gather 3D data at multiple levels: gene expression patterns, cell signaling, cellular growth rates, intercalation patterns, and global tissue movements. In parallel we will develop a new multi-scale modeling framework which can integrate this quantitative data, to simulate both the molecular patterning and the mechanical growth of the developing limb bud. Doing so will allow us to ask new systems-level questions about (i) the molecular control of organ shape, (ii) coordination of patterning and growth, and (iii) the multi-scale robustness of the system. We will test the key predictions of the model experimentally (both with mouse mutants, and in vitro perturbations). SIMBIONT will serve as an example for modeling other complex multicellular processes in the future, eg. tissue engineering and regenerative medicine.
year | authors and title | journal | last update |
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2018 |
Xavier Diego, Luciano Marcon, Patrick Müller, James Sharpe Key Features of Turing Systems are Determined Purely by Network Topology published pages: , ISSN: 2160-3308, DOI: 10.1103/physrevx.8.021071 |
Physical Review X 8/2 | 2019-09-04 |
2019 |
Philipp Germann, Miquel Marin-Riera, James Sharpe ya||a: GPU-Powered Spheroid Models for Mesenchyme and Epithelium published pages: 261-266.e3, ISSN: 2405-4712, DOI: 10.1016/j.cels.2019.02.007 |
Cell Systems 8/3 | 2019-09-04 |
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The information about "SIMBIONT" are provided by the European Opendata Portal: CORDIS opendata.