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Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales
Non-membrane-bound biomolecular condensates have been proposed to represent an important mode of subcellular organization in diverse biological settings. However, the fundamental principles governing the spatial organization and dynamics of condensates at the atomistic level remain unclear. The Sacc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406433/ https://www.ncbi.nlm.nih.gov/pubmed/37470705 http://dx.doi.org/10.7554/eLife.80038 |
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author | Polyansky, Anton A Gallego, Laura D Efremov, Roman G Köhler, Alwin Zagrovic, Bojan |
author_facet | Polyansky, Anton A Gallego, Laura D Efremov, Roman G Köhler, Alwin Zagrovic, Bojan |
author_sort | Polyansky, Anton A |
collection | PubMed |
description | Non-membrane-bound biomolecular condensates have been proposed to represent an important mode of subcellular organization in diverse biological settings. However, the fundamental principles governing the spatial organization and dynamics of condensates at the atomistic level remain unclear. The Saccharomyces cerevisiae Lge1 protein is required for histone H2B ubiquitination and its N-terminal intrinsically disordered fragment (Lge1(1-80)) undergoes robust phase separation. This study connects single- and multi-chain all-atom molecular dynamics simulations of Lge1(1-80) with the in vitro behavior of Lge1(1-80) condensates. Analysis of modeled protein-protein interactions elucidates the key determinants of Lge1(1-80) condensate formation and links configurational entropy, valency, and compactness of proteins inside the condensates. A newly derived analytical formalism, related to colloid fractal cluster formation, describes condensate architecture across length scales as a function of protein valency and compactness. In particular, the formalism provides an atomistically resolved model of Lge1(1-80) condensates on the scale of hundreds of nanometers starting from individual protein conformers captured in simulations. The simulation-derived fractal dimensions of condensates of Lge1(1-80) and its mutants agree with their in vitro morphologies. The presented framework enables a multiscale description of biomolecular condensates and embeds their study in a wider context of colloid self-organization. |
format | Online Article Text |
id | pubmed-10406433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-104064332023-08-08 Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales Polyansky, Anton A Gallego, Laura D Efremov, Roman G Köhler, Alwin Zagrovic, Bojan eLife Physics of Living Systems Non-membrane-bound biomolecular condensates have been proposed to represent an important mode of subcellular organization in diverse biological settings. However, the fundamental principles governing the spatial organization and dynamics of condensates at the atomistic level remain unclear. The Saccharomyces cerevisiae Lge1 protein is required for histone H2B ubiquitination and its N-terminal intrinsically disordered fragment (Lge1(1-80)) undergoes robust phase separation. This study connects single- and multi-chain all-atom molecular dynamics simulations of Lge1(1-80) with the in vitro behavior of Lge1(1-80) condensates. Analysis of modeled protein-protein interactions elucidates the key determinants of Lge1(1-80) condensate formation and links configurational entropy, valency, and compactness of proteins inside the condensates. A newly derived analytical formalism, related to colloid fractal cluster formation, describes condensate architecture across length scales as a function of protein valency and compactness. In particular, the formalism provides an atomistically resolved model of Lge1(1-80) condensates on the scale of hundreds of nanometers starting from individual protein conformers captured in simulations. The simulation-derived fractal dimensions of condensates of Lge1(1-80) and its mutants agree with their in vitro morphologies. The presented framework enables a multiscale description of biomolecular condensates and embeds their study in a wider context of colloid self-organization. eLife Sciences Publications, Ltd 2023-07-20 /pmc/articles/PMC10406433/ /pubmed/37470705 http://dx.doi.org/10.7554/eLife.80038 Text en © 2023, Polyansky, Gallego et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Physics of Living Systems Polyansky, Anton A Gallego, Laura D Efremov, Roman G Köhler, Alwin Zagrovic, Bojan Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales |
title | Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales |
title_full | Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales |
title_fullStr | Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales |
title_full_unstemmed | Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales |
title_short | Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales |
title_sort | protein compactness and interaction valency define the architecture of a biomolecular condensate across scales |
topic | Physics of Living Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406433/ https://www.ncbi.nlm.nih.gov/pubmed/37470705 http://dx.doi.org/10.7554/eLife.80038 |
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