Evidence map›Paper›PMID 41238549›Full record

ArticleNature communications2025

Molecular motor-driven reversible liquid-liquid phase separation of supramolecular assemblies.

Fan Xu, Marco Ovalle, Youxin Fu, Marc A C Stuart, Ben L Feringa

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

5 authors.

Fan XuSynthetic Organic Chemistry, Stratingh Institute for Chemistry, University of Groningen, Groningen, AG, The Netherlands.ORCID http://orcid.org/0000-0003-1615-1703
Marco OvalleSynthetic Organic Chemistry, Stratingh Institute for Chemistry, University of Groningen, Groningen, AG, The Netherlands.
Youxin FuSynthetic Organic Chemistry, Stratingh Institute for Chemistry, University of Groningen, Groningen, AG, The Netherlands.
Marc A C StuartGroningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, AG, The Netherlands.ORCID http://orcid.org/0000-0003-0667-6338
Ben L FeringaSynthetic Organic Chemistry, Stratingh Institute for Chemistry, University of Groningen, Groningen, AG, The Netherlands. b.l.feringa@rug.nl.ORCID http://orcid.org/0000-0003-0588-8435

Funding

Ministerie van Onderwijs, Cultuur en Wetenschap (Ministry of Education, Culture and Science, Netherlands) 024.001.035
6 · The paper itself

Abstract

Liquid-liquid phase separation (LLPS) is a crucial process in natural and artificial systems, capable of maintaining cellular behavior and realizing material functions. While supramolecular assemblies provide a versatile platform for understanding natural phenomena and developing adaptive materials, their LLPS remains largely unexplored, particularly with respect to reversible control. Here, we report a molecular motor-driven LLPS system, where nanoscale rotary motion modulates LLPS of supramolecular assemblies. Systematic molecular modification and photothermal isomerization studies comprehensively reveal that subtle changes in molecular structure affect the hydrophobicity of molecules, which in turn decrease the critical phase separation temperature and promotes the phase separation. During the rotary of molecular motor, these assemblies undergo in situ formation and dissolution of droplets across multiple non-equilibrium states. Our findings establish an orthogonal strategy to tune phase separation by light and temperature, providing an avenue for designing out-of-equilibrium biomedical materials and adaptive soft matter systems.

Identifiers

PMID41238549
PMCPMC12618938

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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.