Evidence map›Paper›PMID 30265452›Full record

ArticleVeterinary medicine and science2018

mRNA expression profiling in cotyledons reveals significant up-regulation of the two bovine pregnancy-associated glycoprotein genes boPAG-8 and boPAG-11 in early gestation.

Isabel Wiedemann, Tony Krebs, Niklas Momberg, Christoph Knorr, Jens Tetens

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Isabel WiedemannDepartment of Animal Sciences, University of Goettingen, Goettingen, Germany.ORCID 0000-0002-8062-6462
Tony KrebsDepartment of Animal Sciences, University of Goettingen, Goettingen, Germany.
Niklas MombergDepartment of Animal Sciences, University of Goettingen, Goettingen, Germany.
Christoph KnorrDepartment of Animal Sciences, University of Goettingen, Goettingen, Germany.
Jens TetensDepartment of Animal Sciences, University of Goettingen, Goettingen, Germany.
University of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The multigene family of pregnancy-associated glycoproteins (PAGs) belongs to a group of aspartic proteases that are exclusively expressed by trophoblast cells in the placenta of even-toed ungulates. In Bovidae, 22 different PAG genes (boPAGs) with a wide range of temporal and spatial expression- and glycosylation patterns have been reported to date. In this study we describe the mRNA expression patterns using real-time quantitative PCR (qPCR) for selected modern (boPAG-1, -9, -21) and ancient bovine PAGs (boPAG-2, -8, -10, -11, -12) in cotyledonary tissue. The highest mean expression was detected in boPAG-8 and lowest in boPAG-10 (P < 0.05). Furthermore, boPAG-8 and -11 were significantly greater expressed in early gestation compared with later pregnancy stages. The characterization of boPAG mRNA-expression levels gives important insights for further protein analyses which will be valuable information for the development of new pregnancy detection systems.

Indexed as

CattleTranscriptomeAnimalsFemaleGene Expression RegulationMultigene FamilyPlacentaPregnancyPregnancy ProteinsReal-Time Polymerase Chain ReactionRNA, MessengerUp-RegulationPregnancy ProteinsRNA, MessengerbovinemRNA-expressionplacentapregnancypregnancy-associated glycoproteins

Identifiers

PMID30265452
PMCPMC6236128
OpenAlexW2894494017

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.