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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.

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Amin, H., Cramer, C., Finster, K., Real, F. G., Gislason, T., Holm, M., Janson, C., Jögi, N. O., Jogi, R., Malinovschi, A., Modig, L., Norbäck, D., Shigdel, R., Sigsgaard, T., Svanes, C., Thorarinsdottir, H., Wouters, I. M., Šantl-Temkiv, T., Schlünssen, V. & Bertelsen, R. J. (2026). Indoor airborne bacterial communities and adult lung health: A cross-sectional study. International Journal of Hygiene and Environmental Health, 274, Article 114780. https://doi.org/10.1016/j.ijheh.2026.114780
Samarth, P., Fedoseev, G., Bulak, M., Ioppolo, S., Hornekær, L., Van Dishoeck, E. F., Linnartz, H. & Chuang, K. J. (2026). In situ characterization of volatile and refractory hydrocarbons produced by UV photolysis of interstellar C 2H 2ice. Astronomy and Astrophysics, 705, Article A229. https://doi.org/10.1051/0004-6361/202556672
Andreis, L., Bassetti, F. & Hirsch, C. (2026). LDP for the covariance process in fully connected Gaussian neural networks. Electronic Journal of Probability, 31, Article 22. https://doi.org/10.1214/26-EJP1477