Evidence map›Paper›PMID 37668912›Full record

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

Genetic Identification of Neural Circuits Essential for Active Avoidance Fear Conditioning in Adult Zebrafish.

Pradeep Lal, Hideyuki Tanabe, Koichi Kawakami

Abstract read
PubMed Publisher
In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 2 countries.

Pradeep LalFish Biology and Aquaculture Group, Climate & Environment Department, NORCE Norwegian Research Centre, Bergen, Norway.
Hideyuki TanabeLaboratory of Molecular and Developmental Biology, National Institute of Genetics, Mishima, Shizuoka, Japan.
Koichi KawakamiLaboratory of Molecular and Developmental Biology, National Institute of Genetics, Mishima, Shizuoka, Japan. kokawaka@nig.ac.jp.
National Institute of Genetics · JPNORCE Research AS · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhibition or ablation of neuronal activity combined with behavioral assessment is crucial in identifying neural circuits or populations essential for specific behaviors and to understand brain function. In the model vertebrate zebrafish, the development of genetic methods has allowed not only visualization but also targeted manipulation of neuronal activity, and quantitative behavioral assays allow precise measurement of animal behavior. Here, we describe a method to inhibit a specific neuronal population in adult zebrafish brain and assess their role in a learning behavior. We employed the Gal4-UAS system, gene trap and enhancer trap methods, and isolated transgenic zebrafish lines expressing Gal4FF transactivator in specific populations of neurons in the adult zebrafish brain. In these lines, a genetically engineered neurotoxin, botulinum toxin B light chain, was expressed and the fish were assessed in the active avoidance fear conditioning paradigm. The transgenic lines that showed impaired avoidance response were isolated and, in these fish, the Gal4-expressing neurons were analyzed to identify the neuronal circuits involved in avoidance learning.

Indexed as

Conditioning, OperantZebrafishAnimalsAnimals, Genetically ModifiedAvoidance LearningBrainFearActive avoidance fear conditioningBotulinum toxinGal4–UASNeuronal circuitsTelencephalon

Identifiers

PMID37668912
OpenAlexW4386438813

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.