Evidence map›Paper›PMID 40502052›Full record

ArticlebioRxiv : the preprint server for biology2025

A High-Throughput, Flow Cytometry Approach to Measure Phase Behavior and Exchange in Biomolecular Condensates.

Yuchen He, George M Ongwae, Anupam Mondal, Jeetain Mittal, Marcos M Pires

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

5 authors.

Yuchen He
George M Ongwae
Anupam Mondal
Jeetain Mittal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomolecular condensates are essential for cellular organization, yet their formation dynamics and molecular content exchange properties remain poorly understood. In this study, we developed a high-throughput flow cytometry approach to quantify condensate formation, molecular colocalization, and dynamic exchange. Using self-interacting NPM1 condensates as a model system, we benchmarked the use of flow cytometry to broadly characterize their phase behavior across various protein concentrations and salt conditions. We further demonstrated that flow cytometry can assess the colocalization of macromolecules - including antibodies, lipids, small-molecule drugs, and RNAs, within NPM1 condensates. Importantly, we established the first assay to track real-time molecular exchange between preformed condensates and newly added, orthogonally tagged protein. This revealed that condensate aging significantly reduces molecular dynamisms, likely due to altered biophysical properties with time. Compared to conventional imaging techniques, which often require immobilized samples and complex experimental setups, our solution-based approach enables rapid, quantitative analysis of condensate behavior at the single-droplet level. This work provides a powerful framework for studying biomolecular condensates with enhanced precision and scalability, offering new insights into their dynamic properties and molecular interactions.

Identifiers

PMID40502052
PMCPMC12157603

What OpenQuestion holds

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Registered trials

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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.