Evidence map›Paper›PMID 35631924›Full record

ArticlePolymers2022

Theory of Weakly Polydisperse Cytoskeleton Filaments.

Vadim Warshavsky, Marcelo Marucho

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. 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
0.2field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Vadim WarshavskyDepartment of Physics and Astronomy, The University of Texas at San Antonio, San Antonio, TX 78249, USA.ORCID 0000-0002-8858-7648
Marcelo MaruchoDepartment of Physics and Astronomy, The University of Texas at San Antonio, San Antonio, TX 78249, USA.ORCID 0000-0003-0939-1901
The University of Texas at San Antonio · US

Funding

Polyelectrolyte Nature of Cytoskeleton FilamentsSC1GM127187 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI MARUCHO, MARCELO · 2018 to 2021
$1.5M
NIGMS NIH HHS SC1 GM127187NIH HHS 1SC1GM127187-04
6 · The paper itself

Abstract

Cytoskeleton filaments have the extraordinary ability to change conformations dynamically in response to alterations of the number density of actins/tubulin, the number density and type of binding agents, and the electrolyte concentration. This property is crucial for eukaryotic cells to achieve specific biological functions in different cellular compartments. Conventional approaches to biopolymers' solution break down for cytoskeleton filaments because they entail several approximations to treat their polyelectrolyte and mechanical properties. In this article, we introduce a novel density functional theory for polydisperse, semiflexible cytoskeleton filaments. The approach accounts for the equilibrium polymerization kinetics, length and orientation filament distributions, as well as the electrostatic interaction between filaments and the electrolyte. This is essential for cytoskeleton polymerization in different cell compartments generating filaments of different lengths, sometimes long enough to become semiflexible. We characterized the thermodynamics properties of actin filaments in electrolyte aqueous solutions. We calculated the free energy, pressure, chemical potential, and second virial coefficient for each filament conformation. We also calculated the phase diagram of actin filaments' solution and compared with the corresponding results in in vitro experiments.

Indexed as

cytoskeleton filamentsphase behaviorpolyelectrolytessecond virial coefficient

Identifiers

PMID35631924
PMCPMC9145005
OpenAlexW4280625154

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.