Evidence map›Paper›PMID 28448000›Full record

ArticleJournal of visualized experiments : JoVE2017

High-resolution Imaging and Analysis of Individual Astral Microtubule Dynamics in Budding Yeast.

Colby P Fees, Cassi Estrem, Jeffrey K Moore

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

3 authors.

Colby P FeesDepartment of Cell and Developmental Biology, University of Colorado School of Medicine.
Cassi EstremDepartment of Cell and Developmental Biology, University of Colorado School of Medicine.
Jeffrey K MooreDepartment of Cell and Developmental Biology, University of Colorado School of Medicine; jeffrey.moore@ucdenver.edu.

Funding

Predoctoral Training Program in Molecular BiologyT32GM008730 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI PREKERIS, RYTIS, SCLAFANI, ROBERT A · 1999 to 2019
$3.3M
Regulation of Microtubule Function by Tubulin Carboxy-terminal TailsR01GM112893 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI MOORE, JEFFREY KYLE · 2015 to 2019
$1.5M
NIGMS NIH HHS R01 GM112893NIGMS NIH HHS T32 GM008730
6 · The paper itself

Abstract

Dynamic microtubules are fundamental to many cellular processes, and accurate measurements of microtubule dynamics can provide insight into how cells regulate these processes and how genetic mutations impact regulation. The quantification of microtubule dynamics in metazoan models has a number of associated challenges, including a high microtubule density and limitations on genetic manipulations. In contrast, the budding yeast model offers advantages that overcome these challenges. This protocol describes a method to measure the dynamics of single microtubules in living yeast cells. Cells expressing fluorescently tagged tubulin are adhered to assembled slide chambers, allowing for stable time-lapse image acquisition. A detailed guide for high-speed, four-dimensional image acquisition is also provided, as well as a protocol for quantifying the properties of dynamic microtubules in confocal image stacks. This method, combined with conventional yeast genetics, provides an approach that is uniquely suited for quantitatively assessing the effects of microtubule regulators or mutations that alter the activity of tubulin subunits.

Indexed as

Concanavalin AGreen Fluorescent ProteinsImage Processing, Computer-AssistedMicrotubulesMolecular ImagingSaccharomycetalesTubulinConcanavalin AGreen Fluorescent ProteinsTubulin

Identifiers

PMID28448000
PMCPMC5462104

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.