Evidence map›Paper›PMID 38285356›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Assessment of Developmental Neurotoxicity Using Semi-automatic Behavior Analysis System for Zebrafish.

Derya Cansız, İsmail Ünal, Merih Beler, Ahmet Ata Alturfan, Ebru Emekli-Alturfan

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 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

5 authors.

Derya CansızDepartment of Biochemistry, Faculty of Medicine, Istanbul Medipol University, Istanbul, Turkey.ORCID 0000-0002-6274-801X
İsmail ÜnalDepartment of Biochemistry, Institute of Health Sciences, Marmara University, Istanbul, Turkey.ORCID 0000-0002-8664-3298
Merih BelerDepartment of Biochemistry, Institute of Health Sciences, Marmara University, Istanbul, Turkey.ORCID 0000-0002-3828-4630
Ahmet Ata AlturfanDepartment of Medical Biochemistry, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.ORCID 0000-0003-0528-9002
Ebru Emekli-AlturfanDepartment of Basic Medical Sciences, Faculty of Dentistry, Marmara University, Istanbul, Turkey. eiemekli@marmara.edu.tr.ORCID 0000-0003-2419-8587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, morphological, conventional, and toxicological approaches have been used to demonstrate neurotoxicity; however, there has been a growing interest in animal behavioral methods for assessing neurotoxicity, both at the scientific and regulatory levels. Zebrafish (Danio rerio) is a small tropical freshwater fish currently recognized as a suitable model organism for investigating developmental neurotoxicity. There are many animal-tracking software programms used for behavioral analysis in biomedical research. Some of these software programms require a fee, which may exceed the laboratory budget and require detailed technical equipment. As a solution, freely available programs can be used. However, animal tracking may not be possible due to the glare from the aquatic environment of fish, and the small size of zebrafish embryos makes animal tracking difficult. In our laboratory, we developed a semi-automatic system to overcome these difficulties by using three different software available for free. This chapter explains the system for zebrafish embryos and adult zebrafish.

Indexed as

Biomedical ResearchNeurotoxicity SyndromesPerciformesAnimalsFresh WaterLaboratoriesZebrafishBehaviour analysisSemi-automatic systemZebrafishZebrafish embryos

Identifiers

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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.