The geometrical and physical basis of cell-like functionality

The project aims to uncover mechanistic principles for building life-like systems from minimal components using theoretical modeling and in-silico evolution to explore protein patterns and membrane dynamics.

Subsidie
€ 2.498.813
2024

Projectdetails

Introduction

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.

Research Goals

Towards this goal, we will develop new multi-scale approaches to investigate the mechanistic interplay between:

  1. The ability of protein networks to form spatiotemporal patterns by decoding information about the membrane geometry.
  2. The reshaping of 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.

Methodology

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
  • Mechanochemical feedback

in forming different types of protein patterns and membrane morphologies.

Computational Platform

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
  • 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.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 2.498.813
Totale projectbegroting€ 2.498.813

Tijdlijn

Startdatum1-1-2024
Einddatum31-12-2028
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHENpenvoerder

Land(en)

Germany

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