Quantitative theory for the diffusive dynamics of liquid condensates

Key processes of biological condensates are diffusion and material exchange with their environment. Experimentally, diffusive dynamics are typically probed via fluorescent labels. However, to date, a physics-based, quantitative framework for the dynamics of labeled condensate components is lacking....

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Autores principales: Lars Hubatsch, Louise M Jawerth, Celina Love, Jonathan Bauermann, TY Dora Tang, Stefano Bo, Anthony A Hyman, Christoph A Weber
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Lenguaje:EN
Publicado: eLife Sciences Publications Ltd 2021
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Acceso en línea:https://doaj.org/article/eb40ee1913f644cab05a643ca5e29dae
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spelling oai:doaj.org-article:eb40ee1913f644cab05a643ca5e29dae2021-11-10T11:50:57ZQuantitative theory for the diffusive dynamics of liquid condensates10.7554/eLife.686202050-084Xe68620https://doaj.org/article/eb40ee1913f644cab05a643ca5e29dae2021-10-01T00:00:00Zhttps://elifesciences.org/articles/68620https://doaj.org/toc/2050-084XKey processes of biological condensates are diffusion and material exchange with their environment. Experimentally, diffusive dynamics are typically probed via fluorescent labels. However, to date, a physics-based, quantitative framework for the dynamics of labeled condensate components is lacking. Here, we derive the corresponding dynamic equations, building on the physics of phase separation, and quantitatively validate the related framework via experiments. We show that by using our framework, we can precisely determine diffusion coefficients inside liquid condensates via a spatio-temporal analysis of fluorescence recovery after photobleaching (FRAP) experiments. We showcase the accuracy and precision of our approach by considering space- and time-resolved data of protein condensates and two different polyelectrolyte-coacervate systems. Interestingly, our theory can also be used to determine a relationship between the diffusion coefficient in the dilute phase and the partition coefficient, without relying on fluorescence measurements in the dilute phase. This enables us to investigate the effect of salt addition on partitioning and bypasses recently described quenching artifacts in the dense phase. Our approach opens new avenues for theoretically describing molecule dynamics in condensates, measuring concentrations based on the dynamics of fluorescence intensities, and quantifying rates of biochemical reactions in liquid condensates.Lars HubatschLouise M JawerthCelina LoveJonathan BauermannTY Dora TangStefano BoAnthony A HymanChristoph A WebereLife Sciences Publications Ltdarticlephase separationFRAPquantitative modellingMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic phase separation
FRAP
quantitative modelling
Medicine
R
Science
Q
Biology (General)
QH301-705.5
spellingShingle phase separation
FRAP
quantitative modelling
Medicine
R
Science
Q
Biology (General)
QH301-705.5
Lars Hubatsch
Louise M Jawerth
Celina Love
Jonathan Bauermann
TY Dora Tang
Stefano Bo
Anthony A Hyman
Christoph A Weber
Quantitative theory for the diffusive dynamics of liquid condensates
description Key processes of biological condensates are diffusion and material exchange with their environment. Experimentally, diffusive dynamics are typically probed via fluorescent labels. However, to date, a physics-based, quantitative framework for the dynamics of labeled condensate components is lacking. Here, we derive the corresponding dynamic equations, building on the physics of phase separation, and quantitatively validate the related framework via experiments. We show that by using our framework, we can precisely determine diffusion coefficients inside liquid condensates via a spatio-temporal analysis of fluorescence recovery after photobleaching (FRAP) experiments. We showcase the accuracy and precision of our approach by considering space- and time-resolved data of protein condensates and two different polyelectrolyte-coacervate systems. Interestingly, our theory can also be used to determine a relationship between the diffusion coefficient in the dilute phase and the partition coefficient, without relying on fluorescence measurements in the dilute phase. This enables us to investigate the effect of salt addition on partitioning and bypasses recently described quenching artifacts in the dense phase. Our approach opens new avenues for theoretically describing molecule dynamics in condensates, measuring concentrations based on the dynamics of fluorescence intensities, and quantifying rates of biochemical reactions in liquid condensates.
format article
author Lars Hubatsch
Louise M Jawerth
Celina Love
Jonathan Bauermann
TY Dora Tang
Stefano Bo
Anthony A Hyman
Christoph A Weber
author_facet Lars Hubatsch
Louise M Jawerth
Celina Love
Jonathan Bauermann
TY Dora Tang
Stefano Bo
Anthony A Hyman
Christoph A Weber
author_sort Lars Hubatsch
title Quantitative theory for the diffusive dynamics of liquid condensates
title_short Quantitative theory for the diffusive dynamics of liquid condensates
title_full Quantitative theory for the diffusive dynamics of liquid condensates
title_fullStr Quantitative theory for the diffusive dynamics of liquid condensates
title_full_unstemmed Quantitative theory for the diffusive dynamics of liquid condensates
title_sort quantitative theory for the diffusive dynamics of liquid condensates
publisher eLife Sciences Publications Ltd
publishDate 2021
url https://doaj.org/article/eb40ee1913f644cab05a643ca5e29dae
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AT louisemjawerth quantitativetheoryforthediffusivedynamicsofliquidcondensates
AT celinalove quantitativetheoryforthediffusivedynamicsofliquidcondensates
AT jonathanbauermann quantitativetheoryforthediffusivedynamicsofliquidcondensates
AT tydoratang quantitativetheoryforthediffusivedynamicsofliquidcondensates
AT stefanobo quantitativetheoryforthediffusivedynamicsofliquidcondensates
AT anthonyahyman quantitativetheoryforthediffusivedynamicsofliquidcondensates
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