Evidence map›Paper›PMID 34200177›Full record

ArticleGenes2021

In Silico Prediction of Transcription Factor Collaborations Underlying Phenotypic Sexual Dimorphism in Zebrafish (

Shahrbanou Hosseini, Armin Otto Schmitt, Jens Tetens, Bertram Brenig, Henner Simianer, Ahmad Reza Sharifi, Mehmet Gültas

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

Article in Genes, 2021. 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
–field-weighted citation impact, top 94% 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, 1 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

7 authors at 2 institutions in 1 country.

Shahrbanou HosseiniMolecular Biology of Livestock and Molecular Diagnostics Group, Department of Animal Sciences, University of Göttingen, 37077 Göttingen, Germany.ORCID 0000-0003-2826-8394
Armin Otto SchmittCenter for Integrated Breeding Research (CiBreed), University of Göttingen, 37075 Göttingen, Germany.ORCID 0000-0002-4910-9467
Jens TetensFunctional Breeding Group, Department of Animal Sciences, University of Göttingen, 37077 Göttingen, Germany.ORCID 0000-0001-5352-464X
Bertram BrenigMolecular Biology of Livestock and Molecular Diagnostics Group, Department of Animal Sciences, University of Göttingen, 37077 Göttingen, Germany.ORCID 0000-0002-7635-9656
Henner SimianerCenter for Integrated Breeding Research (CiBreed), University of Göttingen, 37075 Göttingen, Germany.
Ahmad Reza SharifiCenter for Integrated Breeding Research (CiBreed), University of Göttingen, 37075 Göttingen, Germany.
Mehmet GültasCenter for Integrated Breeding Research (CiBreed), University of Göttingen, 37075 Göttingen, Germany.ORCID 0000-0003-3297-3192
University of Göttingen · DESouth Westphalia University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transcriptional regulation of gene expression in higher organisms is essential for different cellular and biological processes. These processes are controlled by transcription factors and their combinatorial interplay, which are crucial for complex genetic programs and transcriptional machinery. The regulation of sex-biased gene expression plays a major role in phenotypic sexual dimorphism in many species, causing dimorphic gene expression patterns between two different sexes. The role of transcription factor (TF) in gene regulatory mechanisms so far has not been studied for sex determination and sex-associated colour patterning in zebrafish with respect to phenotypic sexual dimorphism. To address this open biological issue, we applied bioinformatics approaches for identifying the predicted TF pairs based on their binding sites for sex and colour genes in zebrafish. In this study, we identified 25 (e.g., STAT6-GATA4; JUN-GATA4; SOX9-JUN) and 14 (e.g., IRF-STAT6; SOX9-JUN; STAT6-GATA4) potentially cooperating TFs based on their binding patterns in promoter regions for sex determination and colour pattern genes in zebrafish, respectively. The comparison between identified TFs for sex and colour genes revealed several predicted TF pairs (e.g., STAT6-GATA4; JUN-SOX9) are common for both phenotypes, which may play a pivotal role in phenotypic sexual dimorphism in zebrafish.

Indexed as

AnimalsComputer SimulationFemaleGene Expression Regulation, DevelopmentalMaleSex CharacteristicsSexual DevelopmentSkin PigmentationTranscription FactorsZebrafishZebrafish ProteinsTranscription FactorsZebrafish Proteinscolour genePC-TraFFsex genesexual dimorphismtranscription factorzebrafish

Identifiers

PMID34200177
PMCPMC8227731
OpenAlexW3166792818

What OpenQuestion holds

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LicenceCC BY
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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.