Evidence map›Paper›PMID 36107312›Full record

ArticleAdvances in experimental medicine and biology2022

Nuclear Receptors in Ovarian Function.

Doan Thao Dinh, Darryl Lyndon Russell

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2022. 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
4.3field-weighted citation impact, top 5% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Doan Thao DinhRobinson Research Institute, School of Biomedicine, Faculty of Health & Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
Darryl Lyndon RussellRobinson Research Institute, School of Biomedicine, Faculty of Health & Medical Sciences, The University of Adelaide, Adelaide, SA, Australia. Darryl.russell@adelaide.edu.au.
University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ovary undergoes cycles of hormone production that regulate physiological changes necessary for folliculogenesis, ovulation and luteinisation, ultimately contributing to female reproductive success. Crucial to these biological processes is stage-specific nuclear receptor signalling. While the transcriptional regulatory roles of steroid receptors in female fertility and especially ovarian functions have long been documented, non-steroid receptors also play an important part in regulating gene expression at various stages of ovarian development. The recent application of high-throughput genomic and transcriptomic technologies has begun to shed light on the molecular mechanisms underlying ovarian nuclear receptor actions and pointed to a complex interplay between highly specific transcription co-regulators as well as between nuclear receptors in mediating mutual as well as unique target genes. Interrelationships between nuclear receptors as well as the involvement of context-specific protein and non-protein co-regulators are likely keys to the precise and specific nuclear receptor action in the ovary. Leveraging such knowledge on the nuclear receptor network is especially valuable in the development of novel fertility treatments as well as female contraceptives.

Indexed as

Biological PhenomenaContraceptive Agents, FemaleFemaleHormonesHumansOvaryReceptors, Cytoplasmic and NuclearContraceptive Agents, FemaleHormonesReceptors, Cytoplasmic and NuclearFemale reproductionNuclear receptorOvaryOvulationReproductive biologySteroid receptor

Identifiers

PMID36107312
OpenAlexW4295909085

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.