Single Protein-Mediated Vesicle Division

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Recent research news on Artificial Biology

The successful reconstitution of Drs2p–Cdc50p flippase in small and giant polymer lipid hybrid vesicles is illustrated. The hybrid vesicles show adenosine 5′-triphosphate consumption and flipping of 2-dioleoyl-sn-glycero-3-phospho-l-serine lipids from the inner to the outer leaflet. This induced transmembrane asymmetry results in constriction and division of the giant hybrid vesicles.

4 September 2025 by Emilia Djomina Hansen

A collaborative study between the Lyons and Stadler labs, published in Advanced Materials, reports the successful reconstitution of the Drs2p–Cdc50p lipid flippase in polymer–lipid hybrid vesicles, enabling active translocation of negatively charged lipids to establish transmembrane asymmetry. Crucially, the chemical nature of the hydrophobic block in the amphiphilic block copolymers determines the curvature changes that drive vesicle constriction and division. This work marks an important step toward constructing synthetic systems capable of protein-mediated division, advancing the goal of bottom-up self-replicating assemblies.

Read the article published in Advanced Marterials here.

Contact information:
Professor Brigitte Maria Städler
Aarhus University
Interdisciplinary Nanoscience Center (iNANO)
Email: bstadler@inano.au.dk

Tenure track Assistant Professor Joseph Lyons
Aarhus University
Interdisciplinary Nanoscience Center (iNANO)
Email: lyons@inano.au.dk

Recent publications by network

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Laursen, M. B., Pakula, M. M., Gao, S., Fluiter, K., Mook, O. R., Baas, F., Langklaer, N., Wengel, S. L., Wengel, J., Kjems, J. & Bramsen, J. B. (2010). Utilization of unlocked nucleic acid (UNA) to enhance siRNA performance in vitro and in vivo. Molecular BioSystems, 6(5), 862-70. https://doi.org/10.1039/b918869j

Nielsen, K. H. & Andersen, C. (2010). Vi har aldrig været politiske! Bruno Latours politiske filosofi og nonmodernitet. Slagmark: tidsskrift for idéhistorie , (59), 117-130.

Nielsen, K. H. (2010). We Have Never Been Scientists. Annals of Science, 67(4), 561-567. https://doi.org/10.1080/00033790902788055

Hubert, C., Loy, A., Nickel, M., Arnosti, C., Baranyi, C., Brüchert, V., Ferdelman, T., Finster, K., Christensen, F. M., Rezende, J. R. D., Vandieken, V. & Jørgensen, B. B. (2009). A constant flux of diverse thermophilic bacteria into the cold arctic seabed. Science, 325, 1541-1544. https://doi.org/10.1126/science.1174012

Sitte, J., Akob, D., Kaufmann, C., Pollok, K., Finster, K., Kostka, J. & Küsel, K. (2009). Activity and identification of sulfate reducing prokaryotes in heavy metal and radionuclide contaminated creek soil: Verein für allgemeine und angewandte Mikrobiologie. Poster session presented at VAAM conference 2009.

Sitte, J., Kaufmann, C., Pollok, K., Finster, K., Langenhorst, F. & Küsel, K. (2009). Activity of sulfate reducing prokaryotes in heavy metal and radionuclide contaminated creek soil at a former mining district. Poster session presented at FEMS conference 2009, Göteborg, Sweden.

Besenbacher, S., Pedersen, C. S. & Mailund, T. (2009). A fast algorithm for genome wide haplotype pattern mining. BMC Bioinformatics, (suppl. 1), 772. https://doi.org/10.1186/1471-2105-10-S1-S74

Gavardi, E., Cuppen, H. M. & Hornekær, L. (2009). A kinetic Monte Carlo study of desorption of H₂ from graphite (0001). Chemical Physics Letters, 477(4-6), 285–289. https://doi.org/10.1016/j.cplett.2009.07.003

Bramsen, J. B., Laursen, M. B., Nielsen, A. F., Hansen, T. B., Bus, C., Langkjær, N., Babu, B. R., Højland, T., Abramov, M., Van Aerschot, A., Odadzic, D., Smicius, R., Haas, J., Andree, C., Barman, J., Wenska, M., Srivastava, P., Zhou, C., Honcharenko, D. ... Kjems, J. (2009). A large-scale chemical modification screen identifies design rules to generate siRNAs with high activity, high stability and low toxicity. Nucleic Acids Research, 37(9), 2867-81. https://doi.org/10.1093/nar/gkp106

Dutheil, J., Ganapathy, G., Hobolth, A., Mailund, T., Uyenoyama, M. & Schierup, M. H. (2009). Ancestral population genomics: the coalescent hidden Markov model approach. Genetics, 183(1), 259–274. https://doi.org/10.1534/genetics.109.103010

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