Viscoelasticity of globular protein-based biomolecular condensates
Data files
Feb 05, 2025 version files 97.95 GB
-
DLS_rheology.zip
2 MB
-
README.md
2.13 KB
-
Turbidity.zip
1.87 KB
-
Video_tracking_microrheology.zip
97.95 GB
Abstract
Dynamic light scattering microrheology unveils the impact of folded protein domains on biomolecular condensate viscoelasticity across multiple time scales.
The phase separation of biomolecules into biomolecular condensates has emerged as a ubiquitous cellular process. Understanding how intrinsically disordered protein sequence controls condensate formation and material properties has provided fundamental biological insights and led to the development of functional synthetic condensates. While these studies provide a valuable framework to understand subcellular organization via phase separation they have largely ignored the presence of folded domains and their impact on condensate properties. We set out to determine how the distribution of sticker interactions across a globular protein contributes to rheological properties of condensates and to what extent globular protein-containing condensates differ from those formed from two disordered components. We designed three variants of green fluorescent protein with different charge patterning and used dynamic light scattering microrheology to measure the viscoelastic spectrum of coacervates formed with poly-lysine over a timescale of 10−6 to 10 seconds, elucidating the response of protein condensates in this range for the first time. We further showed that the phase behavior and rheological characteristics of the condensates varied as a function of both protein charge distribution and polymer/protein ratio, behavior that was distinct to condensates formed with folded domains. Together, this work enhances our fundamental understanding of dynamic condensed biomaterials across biologically relevant length- and time-scales.
README: Viscoelasticity of globular protein-based biomolecular condensates
https://doi.org/10.5061/dryad.4f4qrfjm9
The data sets here represent the raw, pre-processed data that is presented in the manuscript Viscoelasticity of globular protein-based biomolecular condensates.
Description of the data and file structure
Turbidity Measurements Folder contains csv files, one for each protein, named as in manuscript. The first column represents the charge fraction the sample was prepared at. The first row represents the NaCl concentration the sample was prepared at. All other values correspond to raw absorbance readings at 600 nm.
Video tracking microrheology folder contains videos and associated meta data which were analyzed to first extract trajectory of beads in the video and further calculate viscosities. These files are in the .nd2 format, the file format used for storing images and metadata generated by Nikon microscopes. These files can be viewed using Fiji or converted to tiffs in python using the nd2reader package. Scale = 9.2308 pixels/micron. Images taken 500 ms apart. Folders are labelled with protein name. Sub folders are labelled with poly-lysine concentration the sample was prepared at. Each sub folder contains three replicates at the specified condition. The individual file names hold no meaning and were autogenerated at time of data collection.
Dynamic light scattering folder contains raw autocorrelation files (named exported2.csv) generated from the malvern DLS instrument. All other files are standard output files when running the DLSuR analysis package and include the data plotted in the manuscript: mean squared displacement in nanometers squared (file name msd_smooth), time in s (file name t), frequency in 1/s (file name omega), storage modulus in Pa (file name G1) and loss modulus in Pa (file name G2). These files can be opened and edited in a text editor such as Notepad++. Folders are labelled with protein name. Sub folders are labelled with poly-lysine concentration and NaCl concentration the sample was prepared at.
Methods
Turbidity Data: Absorbance measurements at 600 nm were performed on a Tecan Infinite M200 Pro plate reader. Samples were prepared in tissue culture-treated polystyrene 384-well plates (ThermoFisher).
Video particle tracking: Videos were collected on a Nikon Eclipse Ti inverted microscope an analysed MatLab using code from the Elbaum-Garfinkle lab, available on online at https://zenodo.org/record/6818910#.YsxnrnbMI2x
DLS rheology data: Correllation curves were collected using a Malvern Zetasizer Nano ZS (633 nm laser) running Zetasizer software (version 7.12) and operated in 173° non-invasive backscatter detection mode. Anaysis was performed analysed using Version: 0.0.21 of DLSuR published by P. C. Cai, et al., in Dynamic light scattering microrheology for soft and living materials. Soft Matter 17, 1929–1939 (2021) and available at https://dlsur.readthedocs.io/ and on GitHub at https://github.com/PamCai/DLSuR.