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Size distributions of intracellular condensates reflect competition between coalescence and nucleation
Phase separation of biomolecules into condensates has emerged as a mechanism for intracellular organization and affects many intracellular processes, including reaction pathways through the clustering of enzymes and pathway intermediates. Precise and rapid spatiotemporal control of reactions by cond...
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Published in: | Nature physics 2023, Vol.19 (4), p.586-596 |
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description | Phase separation of biomolecules into condensates has emerged as a mechanism for intracellular organization and affects many intracellular processes, including reaction pathways through the clustering of enzymes and pathway intermediates. Precise and rapid spatiotemporal control of reactions by condensates requires tuning of their sizes. However, the physical processes that govern the distribution of condensate sizes remain unclear. Here we show that both native and synthetic condensates display an exponential size distribution, which is captured by Monte Carlo simulations of fast nucleation followed by coalescence. In contrast, pathological aggregates exhibit a power-law size distribution. These distinct behaviours reflect the relative importance of nucleation and coalescence kinetics. We demonstrate this by utilizing a combination of synthetic and native condensates to probe the underlying physical mechanisms determining condensate size. The appearance of exponential distributions for abrupt nucleation versus power-law distributions under continuous nucleation may reflect a general principle that determines condensate size distributions.
Biomolecular condensates play a role in cellular processes and their size affects reaction pathways. The size distribution is connected to varying contributions of nucleation and coalescence. |
doi_str_mv | 10.1038/s41567-022-01917-0 |
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Biomolecular condensates play a role in cellular processes and their size affects reaction pathways. The size distribution is connected to varying contributions of nucleation and coalescence.</description><identifier>ISSN: 1745-2473</identifier><identifier>EISSN: 1745-2481</identifier><identifier>DOI: 10.1038/s41567-022-01917-0</identifier><identifier>PMID: 37073403</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/57 ; 639/301/923/966 ; Atomic ; Bioengineering ; Biomolecules ; Classical and Continuum Physics ; Clustering ; Coalescence ; Complex Systems ; Condensates ; Condensed Matter Physics ; Enzymes ; Mathematical and Computational Physics ; Molecular ; Monte Carlo simulation ; Nucleation ; Optical and Plasma Physics ; Phase separation ; Physics ; Physics and Astronomy ; Physiology ; Power law ; Proteins ; Simulation ; Size distribution ; Theoretical</subject><ispartof>Nature physics, 2023, Vol.19 (4), p.586-596</ispartof><rights>The Author(s) 2023</rights><rights>The Author(s) 2023.</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-208b53f0475b39d0045b45c95e02b5508f0f611d3eab3f54ec1e8c17bd0ac9fa3</citedby><cites>FETCH-LOGICAL-c475t-208b53f0475b39d0045b45c95e02b5508f0f611d3eab3f54ec1e8c17bd0ac9fa3</cites><orcidid>0000-0001-7384-2821 ; 0000-0002-9091-3932 ; 0000-0002-1516-4484 ; 0000-0002-1350-9960</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37073403$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Daniel S. W.</creatorcontrib><creatorcontrib>Choi, Chang-Hyun</creatorcontrib><creatorcontrib>Sanders, David W.</creatorcontrib><creatorcontrib>Beckers, Lien</creatorcontrib><creatorcontrib>Riback, Joshua A.</creatorcontrib><creatorcontrib>Brangwynne, Clifford P.</creatorcontrib><creatorcontrib>Wingreen, Ned S.</creatorcontrib><title>Size distributions of intracellular condensates reflect competition between coalescence and nucleation</title><title>Nature physics</title><addtitle>Nat. Phys</addtitle><addtitle>Nat Phys</addtitle><description>Phase separation of biomolecules into condensates has emerged as a mechanism for intracellular organization and affects many intracellular processes, including reaction pathways through the clustering of enzymes and pathway intermediates. Precise and rapid spatiotemporal control of reactions by condensates requires tuning of their sizes. However, the physical processes that govern the distribution of condensate sizes remain unclear. Here we show that both native and synthetic condensates display an exponential size distribution, which is captured by Monte Carlo simulations of fast nucleation followed by coalescence. In contrast, pathological aggregates exhibit a power-law size distribution. These distinct behaviours reflect the relative importance of nucleation and coalescence kinetics. We demonstrate this by utilizing a combination of synthetic and native condensates to probe the underlying physical mechanisms determining condensate size. The appearance of exponential distributions for abrupt nucleation versus power-law distributions under continuous nucleation may reflect a general principle that determines condensate size distributions.
Biomolecular condensates play a role in cellular processes and their size affects reaction pathways. 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subjects | 631/57 639/301/923/966 Atomic Bioengineering Biomolecules Classical and Continuum Physics Clustering Coalescence Complex Systems Condensates Condensed Matter Physics Enzymes Mathematical and Computational Physics Molecular Monte Carlo simulation Nucleation Optical and Plasma Physics Phase separation Physics Physics and Astronomy Physiology Power law Proteins Simulation Size distribution Theoretical |
title | Size distributions of intracellular condensates reflect competition between coalescence and nucleation |
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