The Journal of Physical Chemistry BBiophysicsPeer-reviewed journal article
A combined approach to extract rotational dynamics of globular proteins undergoing liquid-liquid phase separation
Dominik Gendreizig, Abhishek Kalarikkal, Simon L. HoltbrüggeiD, Saumyak MukherjeeiD, Laura GalazzoiD, Svetlana KucheriD, Arnulf RosspeintneriD, Lars V. SchäferiD, Enrica BordignoniD
Abstract
The formation of protein condensates (droplets) via liquid-liquid phase separation (LLPS) is a commonly observed phenomenon in vitro. Changing the environmental properties with cosolutes, molecular crowders, protein partners, temperature, pressure, etc. was shown to favour or disfavour the formation of protein droplets by fine-tuning the water-water, water-protein and protein-protein interactions. Therefore, these environmental properties and their spatiotemporal fine-tuning are likely to be important also in a cellular context at the existing protein expression levels. One of the key physicochemical properties of biomolecules impacted by molecular crowding is diffusion, which determines the viscoelastic behaviour of the condensates. Here we investigate the change in the rotational diffusion of {gamma}D-crystallin, undergoing LLPS in vitro in aqueous solutions in absence and presence of cosolutes. We studied its rotational dynamics using molecular dynamics simulations (MD), electron paramagnetic resonance (EPR) spectroscopy and fluorescence spectroscopy. MD simulations performed under dilute and crowded conditions show that the rotational diffusion of crystallin in water is retarded by one to two orders of magnitude in the condensed phase. To obtain the rotational dynamics in the dilute phase we used fluorescence anisotropy and to extract the retardation factor in the condensed phase we used spin-labeled {gamma}D-crystallin proteins as EPR viscosity nanoprobes. Aided by a viscosity nanoruler calibrated with solutions at increasing sucrose concentrations, we validate the rotational diffusion retardation predicted by MD simulations. This study underlines the predictive power of MD simulations and showcases the use of a sensitive EPR nanoprobe to extract the viscosity of biomolecular condensates.
- assay: protein structure
- assay: electronic health records
- research focus: protein folding & dynamics
- approach: mechanistic / dynamical model
- approach: experimental assay
- approach: microscopy & imaging analysis
- Citations
- 6
- FWCI
- 1.49
- Field percentile
- top 21%
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