Synthetic Membraneless Droplets for Synaptic‐Like Clustering of Lipid Vesicles

Author:

Li Qingchuan123ORCID,Song Qingchun2,Guo Wei23,Cao Yang2,Cui Xinyu4,Chen Dairong1,Shum Ho Cheung23

Affiliation:

1. School of Chemistry & Chemical Engineering National Engineering Research Center for Colloidal Materials Shandong University 27 Shanda Nanlu Jinan Shandong P.R.China

2. Department of Mechanical Engineering The University of Hong Kong Pokfulam Road Hong Kong China

3. Advanced Biomedical Instrumentation Centre Hong Kong Science Park, Shatin, New Territories, Hong Kong (SAR) Hong Kong China

4. Department of Public Health Mudanjiang Medical University Mudanjiang 157000 P. R. China

Abstract

AbstractIn eukaryotic cells, the membraneless organelles (MLOs) formed via liquid‐liquid phase separation (LLPS) are found to interact intimately with membranous organelles (MOs). One major mode is the clustering of MOs by MLOs, such as the formation of clusters of synaptic vesicles at nerve terminals mediated by the synapsin‐rich MLOs. Aqueous droplets, including complex coacervates and aqueous two‐phase systems, have been plausible MLO‐mimics to emulate or elucidate biological processes. However, neither of them can cluster lipid vesicles (LVs) like MLOs. In this work, we develop a synthetic droplet assembled from a combination of two different interactions underlying the formation of these two droplets, namely, associative and segregative interactions, which we call segregative‐associative (SA) droplets. The SA droplets cluster and disperse LVs recapitulating the key functional features of synapsin condensates, which can be attributed to the weak electrostatic interaction environment provided by SA droplets. This work suggests LLPS with combined segregative and associative interactions as a possible route for synaptic clustering of lipid vesicles and highlights SA droplets as plausible MLO‐mimics and models for studying and mimicking related cellular dynamics.

Publisher

Wiley

Subject

General Chemistry,Catalysis

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