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The geometrical and physical basis of cell-like functionality

Objective

Can systems with life-like properties be built from scratch with only a minimal set of components? While progress has been made experimentally in the development of such minimal systems, there is a lack of theoretical underpinnings that could provide mechanistic principles. My goal is to discover such principles by combining theoretical modeling and in-silico evolution to explore the potential for life-like functions of minimal systems consisting of only two core elements of cells: reaction compartments enclosed by lipid membranes (liposomes) and equipped with a protein reaction network.

Towards this goal, we will develop new multi-scale approaches to investigate the mechanistic interplay between the ability of protein networks to form spatiotemporal patterns by decoding information about the membrane geometry and to reshape the membrane through mechano-chemical feedback. Using methods from differential geometry we will develop projection techniques that reduce the model to the two-dimensional manifold of the membrane. Building on my expertise with protein pattern formation I will design coarse-graining methods using machine learning concepts to link scales. These theories will give unprecedented insights into the relative role of reaction networks, membrane elasticity, and mechanochemical feedback in forming different types of protein patterns and membrane morphologies.

Moreover, they will provide an efficient computational platform, which I will use to in-silico explore the potential of supported lipid bilayers with adhering liposomes as a platform to generate functions such as cell migration, cell division, and collective cell-cell communication. This will lead to theoretical insights into the mechanistic principles of the emergent behavior of these systems, make specific predictions for established bottom-up experimental model systems, and provide innovative suggestions for the rational design of systems with targeted functionalities.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2022-ADG

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Host institution

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 498 813,00
Address
GESCHWISTER SCHOLL PLATZ 1
80539 MUNCHEN
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 498 813,00

Beneficiaries (1)

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