Evidence map›Paper›PMID 28880915›Full record

ArticlePloS one2017

An optimized method for counting dopaminergic neurons in zebrafish.

Hideaki Matsui, Atsushi Sugie

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

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  4. HomozygousMolecular genetics and metabolism reports · 2024
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  17. Regeneration of Dopaminergic Neurons in Adult Zebrafish Depends on Immune System Activation and Differs for Distinct Populations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    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.

Hideaki MatsuiDepartment of Neuroscience of disease, Center for Transdisciplinary Research, Niigata University, Niigata-shi, Niigata, Japan.ORCID http://orcid.org/0000-0003-4908-1035
Atsushi SugieDepartment of Neuroscience of disease, Center for Transdisciplinary Research, Niigata University, Niigata-shi, Niigata, Japan.
Niigata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, considerable effort has been devoted to the development of a fish model for Parkinson's disease (PD) to examine the pathological mechanisms of neurodegeneration. To effectively evaluate PD pathology, the ability to accurately and reliably count dopaminergic neurons is important. However, there is currently no such standardized method. Due to the relatively small number of dopaminergic neurons in fish, stereological estimation would not be suitable. In addition, serial sectioning requires proficiency to not lose any sections, and it permits double counting due to the large size of some of the dopaminergic neurons. In this study, we report an optimized protocol for staining dopaminergic neurons in zebrafish and provide a reliable counting method. Finally, using our optimized protocol, we confirmed that administration of 6-hydroxydopamine (a neurotoxin) or the deletion of the PINK1 gene (one of the causative genes of familiar PD) in zebrafish caused significant reduction in the number of dopaminergic and noradrenergic neurons. In summary, this method will serve as an important tool for the appropriate evaluation and establishment of fish PD models.

Indexed as

AnimalsDisease Models, AnimalDopaminergic NeuronsOxidopamineParkinson DiseaseProtein Serine-Threonine KinasesPTEN-Induced Putative KinaseZebrafishZebrafish ProteinsOxidopaminePink1 protein, zebrafishProtein Serine-Threonine KinasesPTEN-Induced Putative KinaseZebrafish Proteins

Identifiers

PMID28880915
PMCPMC5589222
OpenAlexW2751349914

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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.