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Hierarchical Unilamellar Vesicles of Controlled Compositional Heterogeneity

Overview of attention for article published in PLOS ONE, November 2012
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Title
Hierarchical Unilamellar Vesicles of Controlled Compositional Heterogeneity
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050156
Pubmed ID
Authors

Maik Hadorn, Eva Boenzli, Peter Eggenberger Hotz, Martin M. Hanczyc

Abstract

Eukaryotic life contains hierarchical vesicular architectures (i.e. organelles) that are crucial for material production and trafficking, information storage and access, as well as energy production. In order to perform specific tasks, these compartments differ among each other in their membrane composition and their internal cargo and also differ from the cell membrane and the cytosol. Man-made structures that reproduce this nested architecture not only offer a deeper understanding of the functionalities and evolution of organelle-bearing eukaryotic life but also allow the engineering of novel biomimetic technologies. Here, we show the newly developed vesicle-in-water-in-oil emulsion transfer preparation technique to result in giant unilamellar vesicles internally compartmentalized by unilamellar vesicles of different membrane composition and internal cargo, i.e. hierarchical unilamellar vesicles of controlled compositional heterogeneity. The compartmentalized giant unilamellar vesicles were subsequently isolated by a separation step exploiting the heterogeneity of the membrane composition and the encapsulated cargo. Due to the controlled, efficient, and technically straightforward character of the new preparation technique, this study allows the hierarchical fabrication of compartmentalized giant unilamellar vesicles of controlled compositional heterogeneity and will ease the development of eukaryotic cell mimics that resemble their natural templates as well as the fabrication of novel multi-agent drug delivery systems for combination therapies and complex artificial microreactors.

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Geographical breakdown

Country Count As %
Czechia 2 4%
Switzerland 1 2%
Germany 1 2%
United Kingdom 1 2%
Denmark 1 2%
Unknown 48 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 35%
Student > Master 10 19%
Researcher 7 13%
Professor > Associate Professor 4 7%
Student > Bachelor 3 6%
Other 5 9%
Unknown 6 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 24%
Chemistry 10 19%
Physics and Astronomy 9 17%
Agricultural and Biological Sciences 8 15%
Engineering 2 4%
Other 4 7%
Unknown 8 15%