Evidence map›Paper›PMID 38982922›Full record

ReviewCurrent protein & peptide science2025

Liquid-Liquid Phase Separation Associated with Intrinsically Disordered Proteins: Experimental and Computational Tools.

Orkid Coskuner-Weber, Vladimir N Uversky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current protein & peptide science, 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

2 authors.

Orkid Coskuner-WeberDepartment of Molecular Biotechnology, Turkish-German University, Sahinkaya Caddesi No. 106, Beykoz, Istanbul, 34820, Turkey.ORCID 0000-0002-0772-9350
Vladimir N UverskyDepartment of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenomenon of Liquid-Liquid Phase Separation (LLPS) serves as a vital mechanism for the spatial organization of biomolecules, significantly influencing the elementary processes within the cellular milieu. Intrinsically disordered proteins, or proteins endowed with intrinsically disordered regions, are pivotal in driving this biophysical process, thereby dictating the formation of non-membranous cellular compartments. Compelling evidence has linked aberrations in LLPS to the pathogenesis of various neurodegenerative diseases, underscored by the disordered proteins' proclivity to form pathological aggregates. This study meticulously evaluates the arsenal of contemporary experimental and computational methodologies dedicated to the examination of intrinsically disordered proteins within the context of LLPS. Through a discerning discourse on the capabilities and constraints of these investigative techniques, we unravel the intricate contributions of these ubiquitous proteins to LLPS and neurodegeneration. Moreover, we project a future trajectory for the field, contemplating on innovative research tools and their potential to elucidate the underlying mechanisms of LLPS, with the ultimate goal of fostering new therapeutic avenues for combating neurodegenerative disorders.

Indexed as

Intrinsically Disordered ProteinsLiquid-Liquid ExtractionNeurodegenerative DiseasesAnimalsComputational BiologyHumansPhase SeparationPhase TransitionIntrinsically Disordered Proteinscomputational toolsexperimental toolsintrinsically disordered proteinsLiquid-liquid phase separationneurodegenerative disorders.proteins with intrinsically disordered regions

Identifiers

PMID38982922

What OpenQuestion holds

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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 OpenQuestion graph.