Evidence map›Paper›PMID 39225536›Full record

ArticleThe Journal of chemical physics2024

Direct computations of viscoelastic moduli of biomolecular condensates.

Samuel R Cohen, Priya R Banerjee, Rohit V Pappu

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Review
  2. Article
  3. A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins.Reports on progress in physics. Physical Society (Great Britain) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Material properties of biomolecular condensates emerge from nanoscale dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Condenzymes: Biomolecular condensates with inherent catalytic activities.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Samuel R CohenDepartment of Biomedical Engineering and Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, USA.
Priya R BanerjeeDepartment of Physics, The State University of New York at Buffalo, Buffalo, New York 14260, USA.ORCID 0000-0002-6169-1461
Rohit V PappuDepartment of Biomedical Engineering and Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, USA.ORCID 0000-0003-2568-1378

Funding

Quantifying Physiologic and Pathologic Viscoelastic Phases of Biomolecular Condensates by Correlative Force and Fluorescence MicroscopyR35GM138186 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BANERJEE, PRIYA R. · 2020 to 2025
$4.4M
Understanding the Sequence and Structural Determinants of Phase Behavior of ALS-Causing ProteinsR01NS121114 · NINDS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Tanja Mittag, ROHIT V PAPPU · 2021 to 2026
$3.8M
TRAINING IN REGENERATIVE MEDICINET32EB028092 · NIBIB · WASHINGTON UNIVERSITY · PI Farshid Guilak · 2020 to 2026
$2.0M
NIBIB NIH HHS T32 EB028092NIGMS NIH HHS R35 GM138186NINDS NIH HHS R01 NS121114
6 · The paper itself

Abstract

Biomolecular condensates are viscoelastic materials defined by time-dependent, sequence-specific complex shear moduli. Here, we show that viscoelastic moduli can be computed directly using a generalization of the Rouse model that leverages information regarding intra- and inter-chain contacts, which we extract from equilibrium configurations of lattice-based Metropolis Monte Carlo (MMC) simulations of phase separation. The key ingredient of the generalized Rouse model is a graph Laplacian that we compute from equilibrium MMC simulations. We compute two flavors of graph Laplacians, one based on a single-chain graph that accounts only for intra-chain contacts, and the other referred to as a collective graph that accounts for inter-chain interactions. Calculations based on the single-chain graph systematically overestimate the storage and loss moduli, whereas calculations based on the collective graph reproduce the measured moduli with greater fidelity. However, in the long time, low-frequency domain, a mixture of the two graphs proves to be most accurate. In line with the theory of Rouse and contrary to recent assertions, we find that a continuous distribution of relaxation times exists in condensates. The single crossover frequency between dominantly elastic vs dominantly viscous behaviors does not imply a single relaxation time. Instead, it is influenced by the totality of the relaxation modes. Hence, our analysis affirms that viscoelastic fluid-like condensates are best described as generalized Maxwell fluids. Finally, we show that the complex shear moduli can be used to solve an inverse problem to obtain the relaxation time spectra that underlie the dynamics within condensates. This is of practical importance given advancements in passive and active microrheology measurements of condensate viscoelasticity.

Indexed as

Biomolecular CondensatesMonte Carlo MethodElasticityViscosity

Identifiers

PMID39225536
PMCPMC11374380

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.