Signal-induced recruitment and dispatchment in reconfigurable phase-separated protocell networks

Abstract The construction of protocell networks with self-regulated spatial dynamics and functions is an important challenge in the emerging field of colloidal systems chemistry. Existing strategies predominantly produce protocell networks with fixed or randomly distributed spatial organization, relying on direct surface interactions or externally imposed conditions, while largely overlooking dynamic interactions with the surrounding environment, thereby limiting the emergence of reconfigurable network behaviours. Here we demonstrate chemical strategies for implementing the spontaneous segregation and selective translocation of binary/ternary populations of enzyme-containing proteinosomes in dextran droplet/polyethylene glycol aqueous phase-separated media. The segregated proteinosomes exhibit tunable membrane wettability, engage in cross-community chemical signalling and undergo signal-induced reversals in phase compatibility to produce reconfigurable networks capable of protocell-mediated recruitment and dispatchment. We exploit the protocell phase dynamics to spatiotemporally modulate DNase I activity in a subpopulation of translocating proteinosomes. Our methodology provides a platform for developing protocell communities with self-regulated spatiotemporal order and offers opportunities in cytomimetic modelling and colloidal systems chemistry.

Authors

Institutions

Publication Details

Journal
Nature Chemistry
Published
2026-08-18
DOI
https://doi.org/10.1038/s41557-026-02225-3
Primary Topic
Lipid Membrane Structure and Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Signal-induced recruitment and dispatchment in reconfigurable phase-separated protocell networks

Stephen Mann, Zhuping Yin, Mei Li, Rui Sun
Nature Chemistry
Lipid Membrane Structure and Behavior
article

Signal-induced recruitment and dispatchment in reconfigurable phase-separated protocell networks

Stephen Mann, Zhuping Yin, Mei Li, Rui Sun
article en

Abstract

Abstract The construction of protocell networks with self-regulated spatial dynamics and functions is an important challenge in the emerging field of colloidal systems chemistry. Existing strategies predominantly produce protocell networks with fixed or randomly distributed spatial organization, relying on direct surface interactions or externally imposed conditions, while largely overlooking dynamic interactions with the surrounding environment, thereby limiting the emergence of reconfigurable network behaviours. Here we demonstrate chemical strategies for implementing the spontaneous segregation and selective translocation of binary/ternary populations of enzyme-containing proteinosomes in dextran droplet/polyethylene glycol aqueous phase-separated media. The segregated proteinosomes exhibit tunable membrane wettability, engage in cross-community chemical signalling and undergo signal-induced reversals in phase compatibility to produce reconfigurable networks capable of protocell-mediated recruitment and dispatchment. We exploit the protocell phase dynamics to spatiotemporally modulate DNase I activity in a subpopulation of translocating proteinosomes. Our methodology provides a platform for developing protocell communities with self-regulated spatiotemporal order and offers opportunities in cytomimetic modelling and colloidal systems chemistry.

Nature Chemistry
University of Bristol (GB), Max Planck-Bristol Centre for Minimal Biology (GB), Eindhoven University of Technology (NL)
Partnerships for the goals
Openalex Percentile: Top 16%
Lipid Membrane Structure and Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.