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Recent research news on Artificial Biology


Distinct Network Morphologies from In Situ Polymerization of Microtubules in Giant Polymer-Lipid Hybrid Vesicles

Creating artificial cells with a dynamic cytoskeleton, akin to those in living cells, is a major goal in bottom-up synthetic biology. In this study, we demonstrate the in situ polymerization of microtubules encapsulated in giant polymer-lipid hybrid vesicles (GHVs) composed of 1,2-dioleoyl-sn-glycero-3-phosphocholine and an amphiphilic block copolymer. The block copolymer is comprised of poly(cholesteryl methacrylate-co-butyl methacrylate) as the hydrophobic block and either poly(6-O-methacryloyl-D-galactopyranose) or poly(carboxyethyl acrylate) as the hydrophilic extension. Depending on the concentrations of guanosine triphosphate (GTP) or its slowly hydrolyzable analog, guanosine-5′-[(α,β)-methyleno]triphosphate (GMPCPP), different microtubule morphologies are observed, including encapsulated microtubule networks, spike protrusions, as well as membrane-associated or aggregated microtubules. Overall, this work represents a step forward in mimicking the cellular cytoskeletons and uncovering the influence of membrane composition on microtubule morphologies.

Recent publications by network


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Hirsch, C. (2015). A Harris-Kesten theorem for confetti percolation. Random Structures Algorithms, 47(2), 361-385.
Košmrlj, A., Cordsen, P., Kyrsting, A., Otzen, D., Oddershede, L. B. & Jensen, M. H. (2015). A monomer-trimer model supports intermittent glucagon fibril growth. Scientific Reports, 5, 1-6. Article 9005. https://doi.org/10.1038/srep09005
Aller, P., Sanchez-Weatherby, J., Foadi, J., Winter, G., Lobley, C. M. C., Axford, D., Ashton, A. W., Bellini, D., Brandao-Neto, J., Culurgioni, S., Douangamath, A., Duman, R., Evans, G., Fisher, S., Flaig, R., Hall, D. R., Lukacik, P., Mazzorana, M., McAuley, K. E. ... Walsh, M. A. (2015). Application of in situ diffraction in high-throughput structure determination platforms. Methods in molecular biology (Clifton, N.J.), 1261, 233-53. https://doi.org/10.1007/978-1-4939-2230-7_13
Hirsch, C., Neuhäuser, D., Gloaguen, C. & Schmidt, V. (2015). Asymptotic properties of Euclidean shortest-path trees in random geometric graphs. Statistics probability letters, 107, 122-130.