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Superstructural ordering in self-sorting coacervate-based protocell networks.

Wenjing MuLiyan JiaMusen ZhouJianzhong WuYiyang LinStephen MannYan Qiao
Published in: Nature chemistry (2023)
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.
Keyphrases
  • single cell
  • high throughput
  • physical activity
  • gene expression
  • mental health
  • escherichia coli
  • pseudomonas aeruginosa
  • staphylococcus aureus
  • cell migration
  • candida albicans