Control of artificial membrane fusion in physiological ionic solutions beyond the limits of electroformation.


Journal

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

Informations de publication

Date de publication:
28 May 2024
Historique:
received: 26 09 2023
accepted: 15 05 2024
medline: 29 5 2024
pubmed: 29 5 2024
entrez: 28 5 2024
Statut: epublish

Résumé

Membrane fusion, merging two lipid bilayers, is crucial for fabricating artificial membrane structures. Over the past 40 years, in contrast to precise and controllable membrane fusion in-vivo through specific molecules such as SNAREs, controlling the fusion in-vitro while fabricating artificial membrane structures in physiological ionic solutions without fusion proteins has been a challenge, becoming a significant obstacle to practical applications. We present an approach consisting of an electric field and a few kPa hydraulic pressure as an additional variable to physically control the fusion, enabling tuning of the shape and size of the 3D freestanding lipid bilayers in physiological ionic solutions. Mechanical model analysis reveals that pressure-induced parallel/normal tensions enhance fusion among membranes in the microwell. In-vitro peptide-membrane assay, mimicking vesicular transport via pressure-assisted fusion, and stability of 38 days with in-chip pressure control via pore size-regulated hydrogel highlight the potential for diverse biological applications.

Identifiants

pubmed: 38806492
doi: 10.1038/s41467-024-48875-0
pii: 10.1038/s41467-024-48875-0
doi:

Substances chimiques

Lipid Bilayers 0
Ions 0
Membranes, Artificial 0
Hydrogels 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4524

Subventions

Organisme : National Research Foundation of Korea (NRF)
ID : NRF-2020R1A2C2100363

Informations de copyright

© 2024. The Author(s).

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Auteurs

Bong Kyu Kim (BK)

Center for Brain Technology, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.
Department of Mechanical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.

Dong-Hyun Kang (DH)

Center for Brain Technology, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.
Bionics Research Center, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.

Junhyuk Woo (J)

Center for Brain Technology, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.

Wooseung Yoon (W)

Center for Brain Technology, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.

Hyunil Ryu (H)

Center for Brain Technology, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.

Kyungreem Han (K)

Center for Brain Technology, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.

Seok Chung (S)

Department of Mechanical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.

Tae Song Kim (TS)

Center for Brain Technology, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea. tskim@kist.re.kr.

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