Evidence map›Paper›PMID 39739655›Full record

ArticlePloS one2024

Dynamic and electrophoretic light scattering measurements on microtubules at low concentrations.

Annitta George, Ernesto Alva, Lorenzo Brancaleon, Marcelo Marucho

Abstract read
In one paragraph

Article in PloS one, 2024. 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

4 authors.

Annitta GeorgeDepartment of Physics and Astronomy, The University of Texas at San Antonio, San Antonio, Texas, United States of America.
Ernesto AlvaDepartment of Physics and Astronomy, The University of Texas at San Antonio, San Antonio, Texas, United States of America.
Lorenzo BrancaleonDepartment of Physics and Astronomy, The University of Texas at San Antonio, San Antonio, Texas, United States of America.
Marcelo MaruchoDepartment of Physics and Astronomy, The University of Texas at San Antonio, San Antonio, Texas, United States of America.ORCID 0000-0003-0939-1901

Funding

UTSA RISE Research Training ProgramR25GM060655 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI BAREA-RODRIGUEZ, EDWIN J · 2000 to 2022
$21.6M
Polyelectrolyte Nature of Cytoskeleton FilamentsSC1GM127187 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI MARUCHO, MARCELO · 2018 to 2021
$1.5M
NIGMS NIH HHS R25 GM060655NIGMS NIH HHS SC1 GM127187
6 · The paper itself

Abstract

The accurate characterization of microtubules is essential for understanding their roles in various biological activities in eukaryotic cellular processes. In vitro, experimental data on these systems often need more details and information on sample preparation protocols and experimental techniques. This deficiency leads to unreproducible or contradictory outcomes. The use of diverse experimental methods and preparations yields different results of hydrodynamic and electro-mechanical properties, complicating the process of obtaining meaningful data and conclusive information. This article presents a robust and detailed protocol for performing dynamic light scattering (DLS) and electrophoretic light scattering (ELS) measurements on microtubules at low concentrations. This method ensures accurate and reproducible results on essential microtubule filament parameters such as the diffusion coefficient (D) and electrophoretic mobility (μ) from which other structures' hydrodynamics, electrical, and stability properties can be elucidated.

Indexed as

Dynamic Light ScatteringMicrotubulesAnimalsDiffusionElectrophoresisHydrodynamicsLightScattering, Radiation

Identifiers

PMID39739655
PMCPMC11687780

What OpenQuestion holds

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Registered trials

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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.