Evidence map›Paper›PMID 31291327›Full record

ArticlePloS one2019

Relationship of transcriptional markers to Leydig cell number in the mouse testis.

Diane Rebourcet, Ana Monteiro, Lyndsey Cruickshanks, Nathan Jeffery, Sarah Smith, Laura Milne, Peter J O'Shaughnessy, Lee B Smith

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

8 authors.

Diane RebourcetFaculty of Science, University of Newcastle, Callaghan, NSW, Australia.
Ana MonteiroInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom.
Lyndsey CruickshanksMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh, EH, United Kingdom.
Nathan JefferyMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh, EH, United Kingdom.
Sarah SmithMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh, EH, United Kingdom.
Laura MilneMRC Centre for Reproductive Health, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh, EH, United Kingdom.
Peter J O'ShaughnessyInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom.
Lee B SmithFaculty of Science, University of Newcastle, Callaghan, NSW, Australia.

Funding

Biotechnology and Biological Sciences Research Council BB/J015105/1Medical Research Council G1100354Medical Research Council MR/N002970/1
6 · The paper itself

Abstract

objectivesThe current study aims to identify markers that would reflect the number of Leydig cells present in the testis, to help determine whether labour-intensive methods such as stereology are necessary. We used our well-characterised Sertoli cell ablation model in which we have empirically established the size of the Leydig cell population, to try to identify transcriptional biomarkers indicative of population size.

resultsFollowing characterisation of the Leydig cell population after Sertoli cell ablation in neonatal life or adulthood, we identified Hsd3b1 transcript levels as a potential indicator of Leydig cell number with utility for informing decision-making on whether to engage in time-consuming stereological cell counting analysis.

Indexed as

Leydig CellsAnimalsAnimals, NewbornBiomarkersCell CountGene Expression ProfilingMaleMiceMultienzyme ComplexesProgesterone ReductaseSteroid IsomerasesBiomarkersHsd3b1 protein, mouseMultienzyme ComplexesProgesterone ReductaseSteroid Isomerases

Identifiers

PMID31291327
PMCPMC6619764

What OpenQuestion holds

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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.