Evidence map›Paper›PMID 34965250›Full record

ArticlePLoS computational biology2021

Motif-pattern dependence of biomolecular phase separation driven by specific interactions.

Benjamin G Weiner, Andrew G T Pyo, Yigal Meir, Ned S Wingreen

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Proximity to criticality predicts surface properties of biomolecular condensates.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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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 at 2 institutions in 2 countries.

Benjamin G WeinerDepartment of Physics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0002-1995-8660
Andrew G T PyoDepartment of Physics, Princeton University, Princeton, New Jersey, United States of America.
Yigal MeirDepartment of Physics, Princeton University, Princeton, New Jersey, United States of America.
Ned S WingreenDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0001-7384-2821
Princeton University · USBen-Gurion University of the Negev · IL

Funding

Learning principles from the pyrenoid, a phase-separated organelleR01GM140032 · NIGMS · PRINCETON UNIVERSITY · PI JONIKAS, MARTIN CASIMIR, WINGREEN, NED S · 2021 to 2024
$2.0M
NIGMS NIH HHS R01 GM140032
6 · The paper itself

Abstract

Eukaryotic cells partition a wide variety of important materials and processes into biomolecular condensates-phase-separated droplets that lack a membrane. In addition to nonspecific electrostatic or hydrophobic interactions, phase separation also depends on specific binding motifs that link together constituent molecules. Nevertheless, few rules have been established for how these ubiquitous specific, saturating, motif-motif interactions drive phase separation. By integrating Monte Carlo simulations of lattice-polymers with mean-field theory, we show that the sequence of heterotypic binding motifs strongly affects a polymer's ability to phase separate, influencing both phase boundaries and condensate properties (e.g. viscosity and polymer diffusion). We find that sequences with large blocks of single motifs typically form more inter-polymer bonds, which promotes phase separation. Notably, the sequence of binding motifs influences phase separation primarily by determining the conformational entropy of self-bonding by single polymers. This contrasts with systems where the molecular architecture primarily affects the energy of the dense phase, providing a new entropy-based mechanism for the biological control of phase separation.

Indexed as

Molecular ConformationPolymersAnimalsBiophysical PhenomenaComputational BiologyEntropyEukaryotic CellsHydrophobic and Hydrophilic InteractionsIntracellular SpaceModels, BiologicalMonte Carlo MethodProtein BindingViscosityPolymers

Identifiers

PMID34965250
PMCPMC8751999
OpenAlexW4200095973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.