Evidence map›Paper›PMID 41685621›Full record

ArticleBiopolymers2026

Stepwise LCST-Type Phase Separation in Mixtures of Short-Chain Elastin-Like Peptides With Minimal Structural Differences.

Naoki Tanaka, Keitaro Suyama, Elissa Mai, Takeru Nose

Abstract read
In one paragraph

Article in Biopolymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Naoki TanakaDepartment of Chemistry, Faculty and Graduate School of Science, Kyushu University, Fukuoka, Japan.
Keitaro SuyamaDepartment of Chemistry, Faculty and Graduate School of Science, Kyushu University, Fukuoka, Japan.
Elissa MaiDepartment of Chemistry, Faculty and Graduate School of Science, Kyushu University, Fukuoka, Japan.
Takeru NoseDepartment of Chemistry, Faculty and Graduate School of Science, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0001-9771-7267

Funding

Japan Society for the Promotion of Science JP23KJ1744Japan Society for the Promotion of Science JP24K03120
6 · The paper itself

Abstract

Elastin-like peptides (ELPs) comprise repetitive pentapeptide sequences and exhibit liquid-liquid phase separation through lower critical solution temperature-type behavior. Their stimuli-responsive behavior has enabled diverse applications in biomedical and chemical contexts. Although the miscibility and interactions of ELP mixtures have been previously studied, it remains unclear whether mixtures of short-chain ELPs with minimal differences in intrinsic parameters, such as chain length, can exhibit distinct phase behaviors. In this study, we investigated whether synthetic short-chain ELPs differing in length by only one or two repeat units (i.e., 5 or 10 residues) could exhibit independent phase transitions in mixed systems. Turbidity measurements of single- and two-component ELP solutions supported by UPLC-MS analysis revealed stepwise phase transitions upon heating. Our mechanistic analyses revealed that the mixtures undergo a structural transition from polyproline type II helix to β-sheet or β-turn structures. In addition, although the mixtures exhibited stepwise phase separation, our results indicate that heterotypic interactions influenced the sequential phase behavior. These findings reveal that even subtle variations in the ELP chain length and architecture can drive distinct phase separation, providing a rational strategy for designing functional, multicomponent, responsive peptide-based materials.

Indexed as

ElastinPeptidesAmino Acid SequenceElastin-Like PolypeptidesPhase SeparationPhase TransitionTemperatureElastinElastin-Like PolypeptidesPeptidescoacervationelastin‐like peptide (ELP)lower critical solution temperature (LCST)peptide materialsphase separationself‐assembly

Identifiers

PMID41685621
PMCPMC12903191

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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.