Evidence map›Paper›PMID 28417958›Full record

ArticleScientific reports2017

Widespread patterns of sexually dimorphic gene expression in an avian hypothalamic-pituitary-gonadal (HPG) axis.

Matthew D MacManes, Suzanne H Austin, Andrew S Lang, April Booth, Victoria Farrar, Rebecca M Calisi

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Matthew D MacManesDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham NH 03824, USA.
Suzanne H AustinDepartment of Neurobiology, Physiology, and Behavior, University of California, Davis. Davis CA. 95616, USA.
Andrew S LangDepartment of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham NH 03824, USA.
April BoothDepartment of Neurobiology, Physiology, and Behavior, University of California, Davis. Davis CA. 95616, USA.
Victoria FarrarDepartment of Neurobiology, Physiology, and Behavior, University of California, Davis. Davis CA. 95616, USA.
Rebecca M CalisiDepartment of Neurobiology, Physiology, and Behavior, University of California, Davis. Davis CA. 95616, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hypothalamic-pituitary-gonadal (HPG) axis is a key biological system required for reproduction and associated sexual behaviors to occur. In the avian reproductive model of the rock dove (Columba livia), we characterized the transcript community of each tissue of the HPG axis in both sexes, thereby significantly expanding our mechanistic insight into HPG activity. We report greater sex-biased differential expression in the pituitary as compared to the hypothalamus, with multiple genes more highly expressed in the male pituitary being related to secretory function, and multiple genes more highly expressed in the female pituitary being related to reproduction, growth, and development. We report tissue-specific and sex-biased expression in genes commonly investigated when studying reproduction, highlighting the need for sex parity in future studies. In addition, we uncover new targets of investigation in both sexes, which could potentially change our understanding of HPG function.

Indexed as

Gene Expression RegulationAnimalsBirdsComputational BiologyFemaleGene Expression ProfilingGene OntologyGonadsHypothalamo-Hypophyseal SystemMaleMolecular Sequence AnnotationOrgan SpecificityPituitary-Adrenal SystemSex FactorsTranscriptome

Identifiers

PMID28417958
PMCPMC5394691

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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.