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  Bottom-up assembly of biomedical relevant fully synthetic extracellular vesicles

Staufer, O., Dietrich, F., Rimal, R., Schröter, M., Fabritz, S., Boehm, H., et al. (2021). Bottom-up assembly of biomedical relevant fully synthetic extracellular vesicles. Science Advances, 7(36): eabg6666, pp. 1-12. doi:10.1126/sciadv.abg6666.

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 Creators:
Staufer, Oskar1, Author           
Dietrich, Franziska1, Author           
Rimal, Rahul, Author
Schröter, Martin1, Author           
Fabritz, Sebastian2, Author           
Boehm, Heike1, Author           
Singh, Smriti, Author
Möller, Martin, Author
Platzman, Ilia1, Author           
Spatz, Joachim Pius1, Author           
Affiliations:
1Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society, ou_2364731              
2Chemical Biology, Max Planck Institute for Medical Research, Max Planck Society, ou_2364732              

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 Abstract: Extracellular vesicles (EVs) are fundamental for intercellular communication and influence nearly every process in cell physiology. However, because of their intricate molecular complexity, quantitative knowledge on their signaling mechanisms is missing, particularly impeding their therapeutic application. We used a complementary and quantitative engineering approach based on sequential synthetic bottom-up assembly of fully functional EVs with precisely controlled lipid, protein, and RNA composition. We show that the functionalities of synthetic EVs are analogous to natural EVs and demonstrate their programmable therapeutic administration for wound healing and neovascularization therapy. We apply transcriptome profiling to systematically decode synergistic effects between individual EV constituents, enabling analytical dissection and a fundamental understanding of EV signaling.

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Language(s): eng - English
 Dates: 2021-01-202021-07-142021-09-03
 Publication Status: Published online
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Science Advances
  Other : Sci. Adv.
Source Genre: Journal
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Publ. Info: Washington : AAAS
Pages: - Volume / Issue: 7 (36) Sequence Number: eabg6666 Start / End Page: 1 - 12 Identifier: ISSN: 2375-2548
CoNE: https://pure.mpg.de/cone/journals/resource/2375-2548