Mesoscale properties of protein clusters determine the size and nature of liquid-liquid phase separation (LLPS)

The observation of Liquid-Liquid Phase Separation (LLPS) in biological cells has dramatically shifted the paradigm that soluble proteins are uniformly dispersed in the cytoplasm or nucleoplasm. The LLPS region is preceded by a one-phase solution, where recent experiments have identified clusters in an aqueous solution with 102-103 proteins. Here, we theoretically consider a core-shell model with mesoscale core, surface, and bending properties of the clusters’ shell and contrast two experimental paradigms for the measured cluster size distributions of the Cytoplasmic Polyadenylation Element Binding-4 (CPEB4) and Fused in Sarcoma (FUS) proteins. The fits to the theoretical model and earlier electron paramagnetic resonance (EPR) experiments suggest that the same protein may exhibit hydrophilic, hydrophobic, and amphiphilic conformations, which act to stabilize the clusters. We find that CPEB4 clusters are much more stable compared to FUS clusters, which are less energetically favorable. This suggests that in CPEB4, LLPS consists of large-scale aggregates of clusters, while for FUS, clusters coalesce to form micron-scale LLPS domains. This paper models how proteins form clusters before undergoing phase separation. It finds that some proteins, like Cytoplasmic Polyadenylation Element Binding-4 (CPEB4), form stable clusters that later aggregate, while others, like Fused in Sarcoma (FUS), form transient clusters that grow and coalesce into larger condensates.

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Publication Details

Journal
Communications Physics
Published
2025-06-02
DOI
https://doi.org/10.1038/s42005-025-02134-w
Citations
7
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
5.64

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article

Mesoscale properties of protein clusters determine the size and nature of liquid-liquid phase separation (LLPS)

Manas Seal, S. A. Safran, Anthony A. Hyman, Daniella Goldfarb et al.
7 citations
Communications Physics
RNA Research and Splicing
5.64
article

Mesoscale properties of protein clusters determine the size and nature of liquid-liquid phase separation (LLPS)

Manas Seal, S. A. Safran, Anthony A. Hyman, Daniella Goldfarb, Gonen Golani, Mrityunjoy Kar
article en
7 citations

Abstract

The observation of Liquid-Liquid Phase Separation (LLPS) in biological cells has dramatically shifted the paradigm that soluble proteins are uniformly dispersed in the cytoplasm or nucleoplasm. The LLPS region is preceded by a one-phase solution, where recent experiments have identified clusters in an aqueous solution with 102-103 proteins. Here, we theoretically consider a core-shell model with mesoscale core, surface, and bending properties of the clusters’ shell and contrast two experimental paradigms for the measured cluster size distributions of the Cytoplasmic Polyadenylation Element Binding-4 (CPEB4) and Fused in Sarcoma (FUS) proteins. The fits to the theoretical model and earlier electron paramagnetic resonance (EPR) experiments suggest that the same protein may exhibit hydrophilic, hydrophobic, and amphiphilic conformations, which act to stabilize the clusters. We find that CPEB4 clusters are much more stable compared to FUS clusters, which are less energetically favorable. This suggests that in CPEB4, LLPS consists of large-scale aggregates of clusters, while for FUS, clusters coalesce to form micron-scale LLPS domains. This paper models how proteins form clusters before undergoing phase separation. It finds that some proteins, like Cytoplasmic Polyadenylation Element Binding-4 (CPEB4), form stable clusters that later aggregate, while others, like Fused in Sarcoma (FUS), form transient clusters that grow and coalesce into larger condensates.

Communications PhysicsVol. 8(1)
Leibniz Institute of Polymer Research (DE), Max Planck Institute of Molecular Cell Biology and Genetics (DE), Weizmann Institute of Science (IL), University of Haifa (IL)
Perlman Family Foundation, Volkswagen Foundation, NOMIS Stiftung
Openalex Percentile: Top 4%
RNA Research and Splicing
5.64
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