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Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions

Formation of membraneless organelles or biological condensates via phase separation and related processes hugely expands the cellular organelle repertoire. Biological condensates are dense and viscoelastic soft matters instead of canonical dilute solutions. To date, numerous different biological con...

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Autores principales: Shen, Zeyu, Jia, Bowen, Xu, Yang, Wessén, Jonas, Pal, Tanmoy, Chan, Hue Sun, Du, Shengwang, Zhang, Mingjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264073/
https://www.ncbi.nlm.nih.gov/pubmed/37261897
http://dx.doi.org/10.7554/eLife.81907
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author Shen, Zeyu
Jia, Bowen
Xu, Yang
Wessén, Jonas
Pal, Tanmoy
Chan, Hue Sun
Du, Shengwang
Zhang, Mingjie
author_facet Shen, Zeyu
Jia, Bowen
Xu, Yang
Wessén, Jonas
Pal, Tanmoy
Chan, Hue Sun
Du, Shengwang
Zhang, Mingjie
author_sort Shen, Zeyu
collection PubMed
description Formation of membraneless organelles or biological condensates via phase separation and related processes hugely expands the cellular organelle repertoire. Biological condensates are dense and viscoelastic soft matters instead of canonical dilute solutions. To date, numerous different biological condensates have been discovered, but mechanistic understanding of biological condensates remains scarce. In this study, we developed an adaptive single-molecule imaging method that allows simultaneous tracking of individual molecules and their motion trajectories in both condensed and dilute phases of various biological condensates. The method enables quantitative measurements of concentrations, phase boundary, motion behavior, and speed of molecules in both condensed and dilute phases, as well as the scale and speed of molecular exchanges between the two phases. Notably, molecules in the condensed phase do not undergo uniform Brownian motion, but instead constantly switch between a (class of) confined state(s) and a random diffusion-like motion state. Transient confinement is consistent with strong interactions associated with large molecular networks (i.e., percolation) in the condensed phase. In this way, molecules in biological condensates behave distinctly different from those in dilute solutions. The methods and findings described herein should be generally applicable for deciphering the molecular mechanisms underlying the assembly, dynamics, and consequently functional implications of biological condensates.
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spelling pubmed-102640732023-06-15 Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions Shen, Zeyu Jia, Bowen Xu, Yang Wessén, Jonas Pal, Tanmoy Chan, Hue Sun Du, Shengwang Zhang, Mingjie eLife Structural Biology and Molecular Biophysics Formation of membraneless organelles or biological condensates via phase separation and related processes hugely expands the cellular organelle repertoire. Biological condensates are dense and viscoelastic soft matters instead of canonical dilute solutions. To date, numerous different biological condensates have been discovered, but mechanistic understanding of biological condensates remains scarce. In this study, we developed an adaptive single-molecule imaging method that allows simultaneous tracking of individual molecules and their motion trajectories in both condensed and dilute phases of various biological condensates. The method enables quantitative measurements of concentrations, phase boundary, motion behavior, and speed of molecules in both condensed and dilute phases, as well as the scale and speed of molecular exchanges between the two phases. Notably, molecules in the condensed phase do not undergo uniform Brownian motion, but instead constantly switch between a (class of) confined state(s) and a random diffusion-like motion state. Transient confinement is consistent with strong interactions associated with large molecular networks (i.e., percolation) in the condensed phase. In this way, molecules in biological condensates behave distinctly different from those in dilute solutions. The methods and findings described herein should be generally applicable for deciphering the molecular mechanisms underlying the assembly, dynamics, and consequently functional implications of biological condensates. eLife Sciences Publications, Ltd 2023-06-01 /pmc/articles/PMC10264073/ /pubmed/37261897 http://dx.doi.org/10.7554/eLife.81907 Text en © 2023, Shen 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 Structural Biology and Molecular Biophysics
Shen, Zeyu
Jia, Bowen
Xu, Yang
Wessén, Jonas
Pal, Tanmoy
Chan, Hue Sun
Du, Shengwang
Zhang, Mingjie
Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions
title Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions
title_full Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions
title_fullStr Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions
title_full_unstemmed Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions
title_short Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions
title_sort biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions
topic Structural Biology and Molecular Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264073/
https://www.ncbi.nlm.nih.gov/pubmed/37261897
http://dx.doi.org/10.7554/eLife.81907
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