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Superstructural ordering in self-sorting coacervate-based protocell networks

delete2023-11-06
delete20
PRE
AI
M
Mu, Wenjing
J
Jia, Liyan
M
Musen Zhou
J
Jianzhong Wu
林艺扬 (Yiyang Lin) *
S
Stephen Mann *
Y
Yan Qiao *
DOI:10.1038/s41557-023-01356-1delete
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Abstract

Abstract

En 中文
Bottom-up assembly of higher-order cytomimetic systems capable of coordinated physical behaviours, collective chemical signalling and spatially integrated processing is a key challenge in the study of artificial multicellularity. Here we develop an interactive binary population of coacervate microdroplets that spontaneously self-sort into chain-like protocell networks with an alternating sequence of structurally and compositionally dissimilar microdomains with hemispherical contact points. The protocell superstructures exhibit macromolecular self-sorting, spatially localized enzyme/ribozyme biocatalysis and interdroplet molecular translocation. They are capable of topographical reconfiguration using chemical or light-mediated stimuli and can be used as a micro-extraction system for macroscale biomolecular sorting. Our methodology opens a pathway towards the self-assembly of multicomponent protocell networks based on selective processes of coacervate droplet-droplet adhesion and fusion, and provides a step towards the spontaneous orchestration of protocell models into artificial tissues and colonies with ordered architectures and collective functions. Bottom-up assembly of protocells into networking superstructures represents a further key step towards rudimentary formation of life. Now it has been shown that a pool of biomolecules can self-organize into an interactive binary population of protocell coacervates with a self-sorting chain-like configuration, allowing for biomolecular extraction, translocation and macroscale separation.
Keywords:
BEHAVIOR
PHOTOISOMERIZATION
DROPLETS
SYSTEMS

Journal

Nature Chemistry cover
Nature Chemistry
IF:
20.2
Papers:
4.4K
Citations:
4.8W

Organization

U
university of chinese academy of sciences, cas
Scholars:
4.1W
Papers: 3.8W
Citations: 75
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
C
chinese academy of sciences
Scholars:
56.5W
Papers: 44.9W
Citations: 704
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