Evidence map›Paper›PMID 40475453›Full record

ArticlebioRxiv : the preprint server for biology2025

Dissecting Rate-Limiting Processes in Biomolecular Condensate Exchange Dynamics.

Ross Kliegman, Eli Kengmana, Rebecca Schulman, Yaojun Zhang

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ross KliegmanDepartment of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, USA.ORCID 0009-0004-2176-7363
Eli KengmanaChemistry-Biology Interface Program, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Rebecca SchulmanChemistry-Biology Interface Program, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Yaojun ZhangDepartment of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, USA.ORCID 0000-0003-4587-6834

Funding

The Chemistry-Biology Interface Program at Johns Hopkins UniversityT32GM080189 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ROKITA, STEVEN E · 2008 to 2022
$3.5M
The Chemistry-Biology Interface Program at Johns Hopkins UniversityT32GM149382 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI STEVEN E ROKITA · 2023 to 2026
$1.4M
NIGMS NIH HHS T32 GM080189NIGMS NIH HHS T32 GM149382
6 · The paper itself

Abstract

An increasing number of biomolecules have been shown to phase-separate into biomolecular condensates - membraneless subcellular compartments capable of regulating distinct biochemical processes within living cells. The speed with which they exchange components with the cellular environment can influence how fast biochemical reactions occur inside condensates and how fast condensates respond to environmental changes, thereby directly impacting condensate function. While Fluorescence Recovery After Photobleaching (FRAP) experiments are routinely performed to measure this exchange timescale, it remains a challenge to distinguish the various physical processes limiting fluorescence recovery and identify each associated timescale. Here, we present a reaction-diffusion model for condensate exchange dynamics and show that such exchange can differ significantly from that of conventional liquid droplets due to the presence of a percolated molecular network, which gives rise to different mobility species in the dense phase. In this model, exchange can be limited by diffusion of either the high- or low-mobility species in the dense phase, diffusion in the dilute phase, or the attachment/detachment of molecules to/from the network at the surface or throughout the bulk of the condensate. Through a combination of analytic derivations and numerical simulations in each of these limits, we quantify the contributions of these distinct physical processes to the overall exchange timescale. Demonstrated on a biosynthetic DNA nanostar system, our model offers insight into the predominant physical mechanisms driving condensate material exchange and provides an experimentally testable scaling relationship between the exchange timescale and condensate size. Interestingly, we observe a newly predicted regime in which the exchange timescale scales nonquadratically with condensate size.

Identifiers

PMID40475453
PMCPMC12139985

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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.