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CellMechSensE SIGNED

Cell mechanosensing in the extracellular matrix

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 CellMechSensE project word cloud

Explore the words cloud of the CellMechSensE project. It provides you a very rough idea of what is the project "CellMechSensE" about.

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Project "CellMechSensE" data sheet

The following table provides information about the project.

Coordinator
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN 

Organization address
address: GESCHWISTER SCHOLL PLATZ 1
city: MUENCHEN
postcode: 80539
website: www.uni-muenchen.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]
 Total cost 174˙806 €
 EC max contribution 174˙806 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-04-26   to  2022-04-25

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) coordinator 174˙806.00

Map

 Project objective

Inside tissues, living cells can adhere to a heterogeneous fiber network, the extracellular matrix (ECM). Cells adjust their behavior in response to the local resistance they sense from pulling the neighboring fibers (mechanosensing). As they probe the network and respond to signals, cells can strongly distort the ECM and these deformations can serve as cues for other cells. The cell-generated forces can be large enough to trigger non-linear elastic effects and irreversible transformations of the ECM, resulting in drastic network remodeling. Yet, most theoretical studies have focused on small-force mechanical signals transmitted by an idealized static network. Therefore, the overall research aim of this proposal is to establish a theoretical framework to obtain fundamental understanding on how cells can exploit the non-linearities to extract accurate information by mechanically probing their surroundings. Recent advances in high-resolution, cell-scale imaging and measurement techniques now make it possible to calibrate quantitatively the model from experimental data and high computational power will permit a complete quantitative numerical study of the biological system. This project will bring understanding that will fill a crucial gap of knowledge on the mechanisms controlling individual and collective cell behavior, ultimately allowing key advances on our understanding of body functioning. This comprehension will have a major impact in guiding the design of biological implants and potentially avoid dramatic diseases. With this fellowship, I will extend my research area to biophysics and perform extensive computational simulations under the supervision of Prof. Broedersz. Conducting this research project will raise my academic profile as an expert in mechanical modeling of disordered networks. It will hence increase my chances to achieve my goal of becoming an independent research group leader in statistical modeling of disordered systems in France.

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The information about "CELLMECHSENSE" are provided by the European Opendata Portal: CORDIS opendata.

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