{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Song S"],"funding":["Generalitat de Catalunya","la Caixa;Foundation","European Research Council","Dutch Ministry of Health, Welfare and Sport | Rijksinstituut voor Volksgezondheid en Milieu (Netherlands National Institute for Public Health and the Environment)","EC | Horizon 2020 Framework Programme","Generalitat de Catalunya (Government of Catalonia)","la Caixa;Foundation (Caixa Foundation)","Dutch Ministry of Health, Welfare and Sport | Rijksinstituut voor Volksgezondheid en Milieu","EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)"],"pagination":["6897"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8617035"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"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."],"journal":["Nature communications"],"pubmed_title":["Engineering transient dynamics of artificial cells by stochastic distribution of enzymes."],"pmcid":["PMC8617035"],"funding_grant_id":["CERCA Program","Gravitation Program 024.001.035","Gravitation Networks grant 024.002.003","LCF/BQ/SO16/52270018","ERC consolidator grant","Marie Skłodowska-Curie action (GA 712754)","ERC Advanced Grant (Artisym 694120)","694120"],"pubmed_authors":["Abdelmohsen LKEA","Mason AF","van der Hofstad RW","Sanchez S","Yewdall NA","Song S","Cao S","Post RAJ","Mestre R","De Corato M","van Hest JCM"],"additional_accession":[]},"is_claimable":false,"name":"Engineering transient dynamics of artificial cells by stochastic distribution of enzymes.","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.","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Nov","modification":"2024-02-15T09:58:04.774Z","creation":"2022-02-11T15:22:04.475Z"},"accession":"S-EPMC8617035","cross_references":{"pubmed":["34824231"],"doi":["10.1038/s41467-021-27229-0"]}}