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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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Mahato, M., Kim, J.-N., Tabassian, R., Rajabi-Abhari, A., Kim, J.-S., Nam, S., Yoo, H. & Oh, I.-K. (2021). Mutually exclusive ytterbium and nitrogen co-doping of mesoporous titania-carbon for self-cleanable and sustainable triboelectric nanogenerators. Nano Energy, 90(Part B), Article 106615. https://doi.org/10.1016/j.nanoen.2021.106615
Nielsen, K. H. (2021). Newtons mobbekampagne. Weekendavisen, (Sektion 4 (Ideer)), 5.
Lisi, F., Zelikin, A. N. & Chandrawati, R. (2021). Nitric Oxide to Fight Viral Infections. Advanced Science, 8(7), Article 2003895. https://doi.org/10.1002/advs.202003895
Dormann, F., Frisk, O., Andersen, L. N. & Pedersen, C. F. (2021). Not All Noise Is Accounted Equally: How Differentially Private Learning Benefits From Large Sampling Rates. In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021 IEEE. https://doi.org/10.1109/MLSP52302.2021.9596307
Błaszczyszyn, B. & Hirsch, C. (2021). Optimal stationary markings. Stochastic Processes and Their Applications, 138, 153-185. https://doi.org/10.1016/j.spa.2021.04.003