Evidence map›Paper›PMID 42473993›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers.

Jasper J Michels, Joana Caria, Edward A Lemke

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

3 authors.

Jasper J MichelsMax Planck Institute for Polymer Research, Mainz, Germany.ORCID https://orcid.org/0000-0003-1591-4449
Joana CariaBiocentre II, Johannes Gutenberg University, Mainz, Germany.ORCID https://orcid.org/0000-0002-8791-4766
Edward A LemkeBiocentre II, Johannes Gutenberg University, Mainz, Germany.ORCID https://orcid.org/0000-0002-0634-0503

Funding

DFG 497669232DFG SFB 1551 "Polymer Concepts in Cellular Function" 464588647DFG SPP 2191 "Molecular Mechanisms of Functional Phase Separation" 402723784
6 · The paper itself

Abstract

Protein condensates that form via phase separation typically become more viscous over time and can harden in a process referred to as "molecular aging." Several mechanisms have been identified for this phenomenon. Of these, the ones involving enhanced β-sheet or -strand interactions are of pathological relevance since they have been associated with neurodegeneration. Although there is much understanding of biopolymer phase behavior, an inclusive thermodynamic framework that unifies phase separation and β-sheet-based aging is lacking. We present a time-dependent, multi-component extension of associating polymer theory that describes phase separation and aging of an intrinsically disordered protein (IDP) capable of associating through local, reversible folding. The model shows how the Second Law of Thermodynamics applies throughout, whether phase separation precedes and encourages aging or, vice versa, whether the increase in "stickiness" during aging drives phase separation. Our calculations show how the time-dependence of the average valency of associating sites determines the aging kinetics and the development of viscoelastic properties of a biocondensate. The agreement between our calculations and the change in dynamics of condensates of "perfect repeat" analogues of nucleoporin-98 not only validates the theory but also identifies these Nup98 variants as model systems for studying aging.

Indexed as

agingbiocondensatesthermodynamicsviscoelasticity

Identifiers

PMID42473993
PMCPMC13383162

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.