Evidence map›Paper›PMID 32275729›Full record

ArticlePloS one2020

Radial alignment of microtubules through tubulin polymerization in an evaporating droplet.

Jakia Jannat Keya, Hiroki Kudoh, Arif Md Rashedul Kabir, Daisuke Inoue, Nobuyoshi Miyamoto, Tomomi Tani, Akira Kakugo, Kazuhiro Shikinaka

Abstract read
In one paragraph

Article in PloS one, 2020. 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

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.

  1. Patterns in Dried Droplets to Detect Unfolded BSA.Sensors (Basel, Switzerland) · 2022
    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

8 authors.

Jakia Jannat KeyaFaculty of Science, Hokkaido University, Sapporo, Hokkaido, Japan.
Hiroki KudohGraduate School of Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan.
Arif Md Rashedul KabirFaculty of Science, Hokkaido University, Sapporo, Hokkaido, Japan.
Daisuke InoueDepartment of Human Science Faculty of Design, Kyushu University, Fukuoka, Japan.
Nobuyoshi MiyamotoDepartment of Life, Environment and Materials Science, Fukuoka Institute of Technology, Fukuoka, Japan.
Tomomi TaniEugene Bell Center for Regenerative Biology and Tissue Engineering, Marine Biological Laboratory, Woods Hole, MA, United States of America.
Akira KakugoFaculty of Science, Hokkaido University, Sapporo, Hokkaido, Japan.ORCID 0000-0002-1591-867X
Kazuhiro ShikinakaResearch Institute for Chemical Process Technology, National Institute of Advanced Industrial Science and Technology, Sendai, Miyagi, Japan.ORCID 0000-0003-3598-3046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the formation of spherulites from droplets of highly concentrated tubulin solution via nucleation and subsequent polymerization to microtubules (MTs) under water evaporation by heating. Radial alignment of MTs in the spherulites was confirmed by the optical properties of the spherulites observed using polarized optical microscopy and fluorescence microscopy. Temperature and concentration of tubulins were found as important parameters to control the spherulite pattern formation of MTs where evaporation plays a significant role. The alignment of MTs was regulated reversibly by temperature induced polymerization and depolymerization of tubulins. The formation of the MTs patterns was also confirmed at the molecular level from the small angle X-ray measurements. This work provides a simple method for obtaining radially aligned arrays of MTs.

Indexed as

AnimalsHot TemperatureMicrotubulesPolymerizationSwineTubulinVolatilizationWaterTubulinWater

Identifiers

PMID32275729
PMCPMC7147791

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.