New Methods to Study Biomolecular Condensates

ORAL

Abstract

Condensation of proteins and nucleic acids through phase separation into liquid-like droplets (biomolecular condensates) has emerged as an important phenomenon in intracellular organization and regulation of many biochemical processes. Given the growing number of proteins/nucleic acids predicted to undergo liquid-liquid phase separation (LLPS), efficient tools to investigate this behavior are critical to advancing our understanding of biomolecular condensate function. We have discovered that biomolecular condensates have intrinsic fluorescence well into the visible spectrum. Leveraging this property, we study condensate formation, directly measure their internal dynamics via Fluorescence Recovery after Photobleaching (FRAP) and examine the 3D morphology and transitions to various multiphase architectures. As this is a label-free method that utilizes an inherent property of condensates, it is efficient, cost-effective, and broadly applicable to any phase-separated system. Secondly, we have also established a new fundamental approach to quantitatively predict the formation and stability of biomolecular condensates based on single-protein thermodynamics. Applying such thermodynamics-based mechanistic analysis has the potential to guide the development of therapeutic treatments in protein aggregation-driven diseases.

*This research was funded by the grant IBS-R020-D1 and the National Institutes of Health under Award Number U54CA272167

Publication: 1. Bibek Acharya, Sean Castillo, Rukhillo Kodirov, Anisha Shakya*, "Label-Free Fluorescence of Biomolecular Condensates Reveals Multiphase Organization", bioRxiv doi: https://doi.org/10.1101/2025.07.13.663051.
2. Neha Rana, Mikayla Kayser, Rukhillo Kodirov, John T. King*, Anisha Shakya*, "Protein Unfolding Thermodynamics Predict Multicomponent Phase Behavior", bioRxiv doi: https://doi.org/10.1101/2023.05.26.5.

Presenters

  • Anisha Shakya

    • University of New Mexico

Authors

  • Anisha Shakya

    • University of New Mexico