Evidence map›Paper›PMID 37549285›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Cell assembly analysis of neural circuits for innate behavior in

Seika Takayanagi-Kiya, Natsumi Shioya, Takumi Nishiuchi, Masafumi Iwami, Taketoshi Kiya

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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  2. Article
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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

5 authors at 1 institution in 1 country.

Seika Takayanagi-Kiya *Division of Life Sciences, Graduate School of Natural Science & Technology, Kanazawa University, Kanazawa, Ishikawa 920-1192, Japan.ORCID 0000-0003-4768-7543
Natsumi ShioyaDivision of Life Sciences, Graduate School of Natural Science & Technology, Kanazawa University, Kanazawa, Ishikawa 920-1192, Japan.ORCID 0009-0005-5412-4513
Takumi NishiuchiResearch Center for Experimental Modeling of Human Disease, Kanazawa University, Kanazawa, Ishikawa 920-8640, Japan.
Masafumi IwamiDivision of Life Sciences, Graduate School of Natural Science & Technology, Kanazawa University, Kanazawa, Ishikawa 920-1192, Japan.ORCID 0000-0003-2385-9312
Taketoshi Kiya *Division of Life Sciences, Graduate School of Natural Science & Technology, Kanazawa University, Kanazawa, Ishikawa 920-1192, Japan.ORCID 0000-0002-5709-8016
Kanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innate behavior, such as courtship behavior, is controlled by a genetically defined set of neurons. To date, it remains challenging to visualize and artificially control the neural population that is active during innate behavior in a whole-brain scale. Immediate early genes (IEGs), whose expression is induced by neural activity, can serve as powerful tools to map neural activity in the animal brain. We screened for IEGs in vinegar fly

Indexed as

Drosophila melanogasterDrosophila ProteinsGenes, Immediate-EarlyTranscription FactorsAnimalsCourtshipDNA-Binding ProteinsFemaleInstinctMaleNerve Tissue ProteinsSexual Behavior, AnimalDNA-Binding ProteinsDrosophila Proteinsfru protein, DrosophilaNerve Tissue Proteinssr protein, DrosophilaTranscription Factorsactivity-dependent labelingcourtship behaviorfruitlessimmediate early genestripe

Identifiers

PMID37549285
PMCPMC10438382
OpenAlexW4385618111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.