<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Song S</submitter><funding>Generalitat de Catalunya</funding><funding>la Caixa;Foundation</funding><funding>European Research Council</funding><funding>Dutch Ministry of Health, Welfare and Sport | Rijksinstituut voor Volksgezondheid en Milieu (Netherlands National Institute for Public Health and the Environment)</funding><funding>EC | Horizon 2020 Framework Programme</funding><funding>Generalitat de Catalunya (Government of Catalonia)</funding><funding>la Caixa;Foundation (Caixa Foundation)</funding><funding>Dutch Ministry of Health, Welfare and Sport | Rijksinstituut voor Volksgezondheid en Milieu</funding><funding>EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)</funding><pagination>6897</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8617035</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(1)</volume><pubmed_abstract>Random fluctuations are inherent to all complex molecular systems. Although nature has evolved mechanisms to control stochastic events to achieve the desired biological output, reproducing this in synthetic systems represents a significant challenge. Here we present an artificial platform that enables us to exploit stochasticity to direct motile behavior. We found that enzymes, when confined to the fluidic polymer membrane of a core-shell coacervate, were distributed stochastically in time and space. This resulted in a transient, asymmetric configuration of propulsive units, which imparted motility to such coacervates in presence of substrate. This mechanism was confirmed by stochastic modelling and simulations in silico. Furthermore, we showed that a deeper understanding of the mechanism of stochasticity could be utilized to modulate the motion output. Conceptually, this work represents a leap in design philosophy in the construction of synthetic systems with life-like behaviors.</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Engineering transient dynamics of artificial cells by stochastic distribution of enzymes.</pubmed_title><pmcid>PMC8617035</pmcid><funding_grant_id>CERCA Program</funding_grant_id><funding_grant_id>Gravitation Program 024.001.035</funding_grant_id><funding_grant_id>Gravitation Networks grant 024.002.003</funding_grant_id><funding_grant_id>LCF/BQ/SO16/52270018</funding_grant_id><funding_grant_id>ERC consolidator grant</funding_grant_id><funding_grant_id>Marie Skłodowska-Curie action (GA 712754)</funding_grant_id><funding_grant_id>ERC Advanced Grant (Artisym 694120)</funding_grant_id><funding_grant_id>694120</funding_grant_id><pubmed_authors>Abdelmohsen LKEA</pubmed_authors><pubmed_authors>Mason AF</pubmed_authors><pubmed_authors>van der Hofstad RW</pubmed_authors><pubmed_authors>Sanchez S</pubmed_authors><pubmed_authors>Yewdall NA</pubmed_authors><pubmed_authors>Song S</pubmed_authors><pubmed_authors>Cao S</pubmed_authors><pubmed_authors>Post RAJ</pubmed_authors><pubmed_authors>Mestre R</pubmed_authors><pubmed_authors>De Corato M</pubmed_authors><pubmed_authors>van Hest JCM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Engineering transient dynamics of artificial cells by stochastic distribution of enzymes.</name><description>Random fluctuations are inherent to all complex molecular systems. Although nature has evolved mechanisms to control stochastic events to achieve the desired biological output, reproducing this in synthetic systems represents a significant challenge. Here we present an artificial platform that enables us to exploit stochasticity to direct motile behavior. We found that enzymes, when confined to the fluidic polymer membrane of a core-shell coacervate, were distributed stochastically in time and space. This resulted in a transient, asymmetric configuration of propulsive units, which imparted motility to such coacervates in presence of substrate. This mechanism was confirmed by stochastic modelling and simulations in silico. Furthermore, we showed that a deeper understanding of the mechanism of stochasticity could be utilized to modulate the motion output. Conceptually, this work represents a leap in design philosophy in the construction of synthetic systems with life-like behaviors.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Nov</publication><modification>2024-02-15T09:58:04.774Z</modification><creation>2022-02-11T15:22:04.475Z</creation></dates><accession>S-EPMC8617035</accession><cross_references><pubmed>34824231</pubmed><doi>10.1038/s41467-021-27229-0</doi></cross_references></HashMap>