Evidence map›Paper›PMID 35096004›Full record

ArticleFrontiers in genetics2021

Gene Expression in Embryos From Norwegian Red Bulls With High or Low Non Return Rate: An RNA-Seq Study of in vivo-Produced Single Embryos.

Sofia Diaz-Lundahl, Arvind Y M Sundaram, Per Gillund, Gregor Duncan Gilfillan, Ingrid Olsaker, Anette Krogenæs

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. 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
2.1field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Pre-Implantation Bovine Embryo Evaluation-From Optics to Omics and Beyond.Animals : an open access journal from MDPI · 2023
    Review
  3. Article
  4. Article
  5. Dynamic Changes in the Proteome of Early Bovine Embryos DevelopedFrontiers in cell and developmental biology · 2022
    Article
  6. 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 at 2 institutions in 1 country.

Sofia Diaz-LundahlDepartment of Production Animal Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Arvind Y M SundaramDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.
Per GillundGeno Breeding and AI Association, Hamar, Norway.
Gregor Duncan GilfillanDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.
Ingrid OlsakerDepartment of Preclinical Sciences and Pathology, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Anette KrogenæsDepartment of Production Animal Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Norwegian University of Life Sciences · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last decade, paternal effects on embryo development have been found to have greater importance than previously believed. In domestic cattle, embryo mortality is an issue of concern, causing huge economical losses for the dairy cattle industry. In attempts to reveal the paternal influence on embryo death, recent approaches have used transcriptome profiling of the embryo to find genes and pathways affected by different phenotypes in the bull. For practical and economic reasons, most such studies have used

Indexed as

bovine preimplantation embryosbull fertilityembryo mortalitygene expressionin vivo produced embryosNorwegian Red bullspaternal influenceRNA-seq

Identifiers

PMID35096004
PMCPMC8795813
OpenAlexW4206768032

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.