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Related Experiment Video

Updated: Sep 19, 2025

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Published on: January 5, 2024

Dissecting Rate-Limiting Processes in Biomolecular Condensate Exchange Dynamics.

Ross Kliegman¹, Eli Kengmana², Rebecca Schulman^2,3,4

¹Department of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, USA.

Biorxiv : the Preprint Server for Biology

|June 6, 2025

Summary

This summary is machine-generated.

Biomolecular condensates regulate cell processes, but their exchange dynamics are complex. This study introduces a model revealing how molecular networks and diffusion rates impact condensate function and size-dependent exchange timescales.

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Area of Science:

Cell Biology
Biophysics
Biochemistry

Background:

Biomolecular condensates are membraneless compartments regulating cellular processes.
Condensate component exchange influences reaction rates and cellular responses.
Fluorescence Recovery After Photobleaching (FRAP) measures exchange but struggles to resolve underlying physical processes.

Purpose of the Study:

To develop a reaction-diffusion model for biomolecular condensate exchange dynamics.
To differentiate physical processes limiting fluorescence recovery within condensates.
To quantify contributions of distinct physical mechanisms to condensate exchange timescales.

Main Methods:

Developed a reaction-diffusion model incorporating percolated molecular networks.
Performed analytic derivations and numerical simulations for various exchange limitation scenarios.
Utilized a biosynthetic DNA nanostar system for experimental validation.

Main Results:

Condensate exchange differs from liquid droplets due to molecular networks and varied mobility species.
Exchange can be limited by diffusion (dense/dilute phases) or molecular attachment/detachment.
A novel regime of non-quadratic scaling between exchange timescale and condensate size was observed.

Conclusions:

The model elucidates predominant physical mechanisms governing condensate material exchange.
Provides an experimentally testable relationship between exchange timescale and condensate size.
Highlights a new scaling regime with implications for condensate dynamics and function.