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Liposomes, Exosomes, and Virosomes: From Modeling Complex

Membrane Processes to Medical Diagnostics and Drug Delivery

Poster Abstracts

102

24-POS

Board 12

From Model to Product: Using Proteorhodopsin to Drive a Molecular Hoover

Roland Goers

1,2

, Johannes Thoma

2

, Alfredo Di Silvestro

1

, Noah Ritzmann

2

, Claudio Alter

1

,

Dimitrios Fotiadis

3

, Daniel Müller

2

, Wolfgang Meier

1

.

1

University of Basel, Basel, Switzerland,

2

ETH Zürich, Basel, Switzerland,

3

University of Bern,

Bern, Switzerland.

The creation of biomimetic reaction compartments is part of the bottom-up approach in synthetic

biology. In order to fulfil a desired task, these systems often require transport of substrates and

products to/from their interior. Passive diffusion can be enabled by pores, whereas active and

controllable transport requires energy. Light-driven proton pumps such as proteorhodopsin (PR)

generate a fundamental electrochemical gradient (proton motif force) upon illumination. Modern

detergent-mediated membrane protein reconstitution procedures allow the integration of

membrane proteins into synthetic membranes, however, they usually lack control over the final

orientation of the proteins which is especially crucial for directional transporters like PR.

Furthermore, this process relies on the self-assembly of the membrane components without

direct control. Predetermined outcomes are only achieved by changing the starting conditions,

which requires detailed knowledge about key parameters.

We bypassed this issue by fusing green fluorescent protein (GFP) to PR, as the hydrophilic

nature of GFP drives its orientation upon reconstitution into preformed lipid and polymer

vesicles. Statistical modelling ‘Design of experiments (DoE)’ was used to identify significant

factors and further allows their optimization towards a desired outcome. We applied this

methodology rationally to find conditions, which lead to proper formation of proteolipo- and

proteopolymersomes.

The fluorescence of GFP allowed us to detect PR-GFP inside the membrane by fluorescence

correlation spectroscopy. It turned out that lipid and polymer membranes require different

treatments for successful reconstitution. Subsequently, the parameter space was narrowed down

by setting boundary conditions for the highest pumping activity. The internal pH of the

proteovesicles was measured via fluorescence spectroscopy and the final model was able to

predict the activity with a high precision. The model allows optimization of the process and

provides the relevant knowledge of key parameters at the same time.