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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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Liu, D., Geary, C. W., Chen, G., Shao, Y., Li, M., Mao, C., Andersen, E. S., Piccirilli, J. A., Rothemund, P. W. K. & Weizmann, Y. (2020). Branched kissing loops for the construction of diverse RNA homooligomeric nanostructures. Nature Chemistry, 12(3), 249-259. https://doi.org/10.1038/s41557-019-0406-7
Carlevaro-Fita, J., Lanzós, A., Feuerbach, L., Hong, C., Mas-Ponte, D., Pedersen, J. S., PCAWG Drivers and Functional Interpretation Group, Johnson, R. & PCAWG Consortium (2020). Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis. Communications Biology, 3(1), Article 56. https://doi.org/10.1038/s42003-019-0741-7
Shuai, S., PCAWG Drivers and Functional Interpretation Working Group, Gallinger, S., Stein, L. & PCAWG Consortium (2020). Combined burden and functional impact tests for cancer driver discovery using DriverPower. Nature Communications, 11(1), Article 734. https://doi.org/10.1038/s41467-019-13929-1