Evidence map›Paper›PMID 29323636›Full record

ArticleeLife2018

An optimized method for 3D fluorescence co-localization applied to human kinetochore protein architecture.

Aussie Suzuki, Sarah K Long, Edward D Salmon

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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.

Aussie SuzukiDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, United States.ORCID http://orcid.org/0000-0001-7390-5116
Sarah K LongDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Edward D SalmonDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, United States.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
MECHANISMS OF MITOTIC SPINDLE ASSEMBLY AND FUNCTIONR01GM024364 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BLOOM, KERRY S, SALMON, EDWARD D. · 1985 to 2018
$3.1M
NCI NIH HHS P30 CA016086NIGMS NIH HHS R01 GM024364
6 · The paper itself

Abstract

Two-color fluorescence co-localization in 3D (three-dimension) has the potential to achieve accurate measurements at the nanometer length scale. Here, we optimized a 3D fluorescence co-localization method that uses mean values for chromatic aberration correction to yield the mean separation with ~10 nm accuracy between green and red fluorescently labeled protein epitopes within single human kinetochores. Accuracy depended critically on achieving small standard deviations in fluorescence centroid determination, chromatic aberration across the measurement field, and coverslip thickness. Computer simulations showed that large standard deviations in these parameters significantly increase 3D measurements from their true values. Our 3D results show that at metaphase, the protein linkage between CENP-A within the inner kinetochore and the microtubule-binding domain of the Ndc80 complex within the outer kinetochore is on average ~90 nm. The Ndc80 complex appears fully extended at metaphase and exhibits the same subunit structure in vivo as found in vitro by crystallography.

Indexed as

MetaphaseCentromere Protein ACytoskeletal ProteinsHeLa CellsHumansImaging, Three-DimensionalKinetochoresMicroscopy, ConfocalNuclear ProteinsOptical ImagingCentromere Protein ACytoskeletal ProteinsNDC80 protein, humanNuclear Proteinscell biologycell divisionhumankinetochoremitosisprotein architectureSuper-resolution light microscopy

Identifiers

PMID29323636
PMCPMC5764572

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.