Evidence map›Paper›PMID 39730395›Full record

ArticleScientific reports2024

Cross-species regulatory network analysis identifies FOXO1 as a driver of ovarian follicular recruitment.

Ashley E Kramer, Alberto Berral-González, Kathryn M Ellwood, Shanshan Ding, Javier De Las Rivas, Aditya Dutta

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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
–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

1 citing paper in PubMed.

  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

6 authors.

Ashley E Kramer *Department of Animal and Food Sciences, University of Delaware, Newark, DE, USA.
Alberto Berral-González *Consejo Superior de Investigaciones Científicas (CSIC), University of Salamanca (USAL), Salamanca, Spain.
Kathryn M EllwoodDepartment of Animal and Food Sciences, University of Delaware, Newark, DE, USA.
Shanshan DingDepartment of Applied Economics and Statistics, University of Delaware, Newark, DE, USA.
Javier De Las RivasConsejo Superior de Investigaciones Científicas (CSIC), University of Salamanca (USAL), Salamanca, Spain. jrivas@usal.es.
Aditya DuttaDepartments of Animal and Food Sciences, Biological Sciences, Medical and Molecular Sciences, and Microbiology Graduate Program, University of Delaware, Newark, DE, USA. adidutta@udel.edu.

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI LEE M PACHTER · 2013 to 2026
$60.5M
Delaware-CTR ACCEL Program U54-GM104941Instituto de Salud Carlos III PI22/00877National Institute of Food and Agriculture 2023-67011-40333National Science Foundation DMS-1916376National Science Foundation IOS-1456942NIGMS NIH HHS P20 GM103446NIGMS NIH HHS U54 GM104941University of Delaware CANR Unique Strengths
6 · The paper itself

Abstract

The transcriptional regulation of gene expression in the latter stages of follicular development in laying hen ovarian follicles is not well understood. Although differentially expressed genes (DEGs) have been identified in pre-recruitment and pre-ovulatory stages, the master regulators driving these DEGs remain unknown. This study addresses this knowledge gap by utilizing Master Regulator Analysis (MRA) combined with the Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) for the first time in laying hen research to identify master regulators that are controlling DEGs in pre-recruitment and pre-ovulatory phases. The constructed ARACNe network included 10,466 nodes and 292,391 edges. The ARACNe network was then used in conjunction with the Virtual Inference of Protein-activity by Enriched Regulon (VIPER) for the MRA to identify top up- and down-regulated master regulators. VIPER analysis revealed FOXO1 as a master regulator, influencing 275 DEGs and impacting pathways related to apoptosis, proliferation, and hormonal regulation. Additionally, CLOCK, known as a crucial regulator of circadian rhythm, emerged as an upregulated master regulator in the pre-ovulatory stage. These findings provide new insights into the transcriptional landscape of laying hen ovarian follicles, offering a foundation for further exploration of follicle development and enhancing reproductive efficiency in avian species.

Indexed as

ChickensForkhead Box Protein O1Gene Regulatory NetworksOvarian FollicleAnimalsFemaleGene Expression ProfilingGene Expression RegulationForkhead Box Protein O1Broiler breedersFollicleFOXO1Layer hensMaster regulatorsOvary

Identifiers

PMID39730395
PMCPMC11680958

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.