En route to dynamic life processes by SNARE-mediated fusion of polymer and hybrid membranes.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
17 08 2021
Historique:
received: 19 02 2021
accepted: 30 07 2021
entrez: 18 8 2021
pubmed: 19 8 2021
medline: 31 8 2021
Statut: epublish

Résumé

A variety of artificial cells springs from the functionalization of liposomes with proteins. However, these models suffer from low durability without repair and replenishment mechanisms, which can be partly addressed by replacing the lipids with polymers. Yet natural membranes are also dynamically remodeled in multiple cellular processes. Here, we show that synthetic amphiphile membranes also undergo fusion, mediated by the protein machinery for synaptic secretion. We integrated fusogenic SNAREs in polymer and hybrid vesicles and observed efficient membrane and content mixing. We determined bending rigidity and pore edge tension as key parameters for fusion and described its plausible progression through cryo-EM snapshots. These findings demonstrate that dynamic membrane phenomena can be reconstituted in synthetic materials, thereby providing new tools for the assembly of synthetic protocells.

Identifiants

pubmed: 34404795
doi: 10.1038/s41467-021-25294-z
pii: 10.1038/s41467-021-25294-z
pmc: PMC8371082
doi:

Substances chimiques

Liposomes 0
Nerve Tissue Proteins 0
Polymers 0
R-SNARE Proteins 0
SNARE Proteins 0
Synaptosomal-Associated Protein 25 0
Syntaxin 1 0
Vesicle-Associated Membrane Protein 2 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4972

Subventions

Organisme : NIGMS NIH HHS
ID : P01 GM072694
Pays : United States

Informations de copyright

© 2021. The Author(s).

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Auteurs

Lado Otrin (L)

Electrochemical Energy Conversion, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. otrin@mpi-magdeburg.mpg.de.

Agata Witkowska (A)

Laboratory of Neurobiology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Department of Molecular Pharmacology and Cell Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.

Nika Marušič (N)

Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.

Ziliang Zhao (Z)

Department of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Rafael B Lira (RB)

Department of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.
Moleculaire Biofysica, Zernike Instituut, Rijksuniversiteit Groningen, Groningen, Netherlands.

Fotis L Kyrilis (FL)

Interdisciplinary Research Center HALOmem & Institute of Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Biozentrum, Halle/Saale, Germany.

Farzad Hamdi (F)

Interdisciplinary Research Center HALOmem & Institute of Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Biozentrum, Halle/Saale, Germany.

Ivan Ivanov (I)

Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.

Reinhard Lipowsky (R)

Department of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Panagiotis L Kastritis (PL)

Interdisciplinary Research Center HALOmem & Institute of Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Biozentrum, Halle/Saale, Germany.

Rumiana Dimova (R)

Department of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Kai Sundmacher (K)

Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.

Reinhard Jahn (R)

Laboratory of Neurobiology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.

Tanja Vidaković-Koch (T)

Electrochemical Energy Conversion, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.

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Classifications MeSH