Evidence map›Paper›PMID 37023256›Full record

ArticleSystems biology in reproductive medicine2023

The use of

David Hala

Open access · greenAbstract read
In one paragraph

Article in Systems biology in reproductive medicine, 2023. 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
0.3field-weighted citation impact, top 31% 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

1 author at 1 institution in 1 country.

David HalaDepartment of Marine Biology, Texas A&M University at Galveston, Galveston, TX, USA.
Texas A&M University at Galveston · US

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
NCATS NIH HHS UL1 TR001439
6 · The paper itself

Abstract

Vertebrate sex determination and differentiation are coordinated by the activations and maintenance of reproductive transcriptional-regulatory networks (TRNs). There is considerable interest in studying the conserved design principles and functions of reproductive TRNs given that their intricate regulation is susceptible to disruption by gene mutations or exposures to exogenous endocrine disrupting chemicals (or EDCs). In this manuscript, the Boolean rules describing reproductive TRNs in humans, mice, and zebrafish, were represented as a pseudo-stoichiometric matrix model. This model mathematically described the interactions of 35 transcription factors with 21 sex determination and differentiation genes across the three species. The

Indexed as

ReproductionZebrafishAnimalsFemaleGene Regulatory NetworksHumansMaleMammalsMiceSex DifferentiationBooleanextreme pathwaysgene networksreproductionstoichiometric matrix

Identifiers

PMID37023256
PMCPMC10461611
OpenAlexW4362661671

What OpenQuestion holds

Textmetadata
LicenceTDM
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.