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Dynamic Reconfiguration of Subcompartment Architectures in Artificial Cells.

Authors :
Zubaite G
Hindley JW
Ces O
Elani Y
Source :
ACS nano [ACS Nano] 2022 Jun 28; Vol. 16 (6), pp. 9389-9400. Date of Electronic Publication: 2022 Jun 13.
Publication Year :
2022

Abstract

Artificial cells are minimal structures constructed from biomolecular building blocks designed to mimic cellular processes, behaviors, and architectures. One near-ubiquitous feature of cellular life is the spatial organization of internal content. We know from biology that organization of content (including in membrane-bound organelles) is linked to cellular functions and that this feature is dynamic: the presence, location, and degree of compartmentalization changes over time. Vesicle-based artificial cells, however, are not currently able to mimic this fundamental cellular property. Here, we describe an artificial cell design strategy that addresses this technological bottleneck. We create a series of artificial cell architectures which possess multicompartment assemblies localized either on the inner or on the outer surface of the artificial cell membrane. Exploiting liquid-liquid phase separation, we can also engineer spatially segregated regions of condensed subcompartments attached to the cell surface, aligning with coexisting membrane domains. These structures can sense changes in environmental conditions and respond by reversibly transitioning from condensed multicompartment layers on the membrane surface to a dispersed state in the cell lumen, mimicking the dynamic compartmentalization found in biological cells. Likewise, we engineer exosome-like subcompartments that can be released to the environment. We can achieve this by using two types of triggers: chemical (addition of salts) and mechanical (by pulling membrane tethers using optical traps). These approaches allow us to control the compartmentalization state of artificial cells on population and single-cell levels.

Details

Language :
English
ISSN :
1936-086X
Volume :
16
Issue :
6
Database :
MEDLINE
Journal :
ACS nano
Publication Type :
Academic Journal
Accession number :
35695383
Full Text :
https://doi.org/10.1021/acsnano.2c02195