Evidence map›Paper›PMID 40196628›Full record

ArticlebioRxiv : the preprint server for biology2025

Biomolecular condensate microstructure couples molecular and mesoscale properties.

Daniel Tan, Dilimulati Aierken, Pablo L Garcia, Jerelle A Joseph

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Daniel TanDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0009-0005-4021-2176
Dilimulati AierkenDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0003-1727-5759
Pablo L GarciaDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0009-0009-5768-4945
Jerelle A JosephDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0003-4525-180X

Funding

Inside Condensates: Bridging molecular structure and condensate material properties through simulationR35GM155259 · NIGMS · PRINCETON UNIVERSITY · PI Jerelle Aurelia Joseph · 2024 to 2026
$1.2M
NIGMS NIH HHS R35 GM155259
6 · The paper itself

Abstract

Biomolecular condensates, including those formed by prion-like low complexity domains (LCDs) of proteins, are typically maintained by networks of molecular interactions. Such collective interactions give rise to the rich array of material behaviors underlying condensate function. Previous work has uncovered distinct LCD conformations in condensates versus dilute phases, and recently, single-component LCD condensates have been predicted to exhibit microstructures with "small-world" networks-where molecular nodes are highly clustered and connected via short pathlengths. However, a framework linking single-molecule properties, condensate microstructure, and macroscopic material properties remains elusive. Here, we combine molecular simulation and graph-theoretic analysis to reveal how molecular features encode condensate microstructure, which impacts molecule-scale conformations and droplet-scale material properties. Using a residue-resolution coarse-grained model, we probe condensates comprising natural LCD sequences and generalize our findings by varying composition and patterning in binary sequences of hydrophobic and polar residues. We show that non-blocky sequences form condensates with small-world internal networks featuring "hubs"-molecules responsible for global connectivity-and "cliques", molecular clusters bound by persistent short-ranged associations. Cliques localize near interfaces without a secondary phase transition, suggesting a role in mediating molecular partitioning and condensate aging by tuning interfacial material properties. Moreover, we demonstrate that network small-worldness predicts droplet surface tension. We also track single-molecule structure and dynamics inside condensates, revealing that internal heterogeneity at the single-molecule level is systematically encoded by network topology. Collectively, our work establishes multiscale structure-property relationships in LCD condensates, providing general principles for designing and interpreting condensates with complex internal organization and material properties.

Identifiers

PMID40196628
PMCPMC11974821

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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.