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RULLIVER SIGNED

Rules of self-organization and reengineering of liver tissue

Total Cost €

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EC-Contrib. €

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Partnership

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Project "RULLIVER" data sheet

The following table provides information about the project.

Coordinator
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV 

Organization address
address: HOFGARTENSTRASSE 8
city: Munich
postcode: 80539
website: www.mpg.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website http://n.a.
 Total cost 2˙498˙013 €
 EC max contribution 2˙498˙013 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-AdG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (Munich) coordinator 2˙498˙013.00

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 Project objective

We want to understand the rules of self-organization underlying tissue structure and function. To address this problem, we have chosen the mouse liver with its complex apico-basal polarity of hepatocytes and its unique 3D tissue organization. We aim at identifying the rules of self-organization of liver tissue and their implementation at the molecular level. Our ultimate goal is to demonstrate that it is possible to reengineer liver tissue structure. The first aim will be to develop a digital geometrical model of liver tissue, i.e. an accurate 3D digital representation of the cells, forming the tissue and their sub-cellular components, in the developing, adult and regenerating liver, and unravel the principles for how the cells are organized to generate liver cell architecture. In aims 2 and 3, we will identify the molecular mechanisms underlying such geometrical rules. In particular, the second aim will be to characterize the molecular mechanisms responsible for hepatocyte cell polarity and predictably modify cell organization in vitro. The third aim will consist of introducing genetic perturbations to alter hepatocyte cell organization (cell polarity) and cell-cell interactions to predictably modify the structure and function of liver tissue. The fourth aim will be to develop a physical model of liver tissue self-assembly and organization. The project is ambitious as it aims to understand the rules of tissue organization in 3D in a mammalian organ to such an extent that it is possible to make predictions of tissue response to genetic perturbations and reengineer it to modify its structural and functional properties.

 Publications

year authors and title journal last update
List of publications.
2019 Christian Franke, Urska Repnik, Sandra Segeletz, Nicolas Brouilly, Yannis Kalaidzidis, Jean‐Marc Verbavatz, Marino Zerial
Correlative single‐molecule localization microscopy and electron tomography reveals endosome nanoscale domains
published pages: 601-617, ISSN: 1398-9219, DOI: 10.1111/tra.12671
Traffic 20/8 2019-11-28
2019 Hernán Morales-Navarrete, Hidenori Nonaka, André Scholich, Fabián Segovia-Miranda, Walter de Back, Kirstin Meyer, Roman L Bogorad, Victor Koteliansky, Lutz Brusch, Yannis Kalaidzidis, Frank Jülicher, Benjamin M Friedrich, Marino Zerial
Liquid-crystal organization of liver tissue
published pages: , ISSN: 2050-084X, DOI: 10.7554/elife.44860
eLife 8 2019-11-28
2017 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
A Predictive 3D Multi-Scale Model of Biliary Fluid Dynamics in the Liver Lobule
published pages: 277-290.e9, ISSN: 2405-4712, DOI: 10.1016/j.cels.2017.02.008
Cell Systems 4/3 2019-06-13

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