Evidence map›Paper›PMID 36969977›Full record

ArticleData in brief2023

Transcriptomic dataset from peripheral white blood cells of beef heifers at weaning.

Priyanka Banerjee, Wellison J S Diniz, Soren P Rodning, Paul W Dyce

Open access · goldFull text read
In one paragraph

Article in Data in brief, 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 32% 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. Review
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

4 authors at 1 institution in 1 country.

Priyanka BanerjeeDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.
Wellison J S DinizDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.
Soren P RodningDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.
Paul W DyceDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.
Auburn University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reproductive failure of replacement breeding animals is one of the leading causes of loss to the beef production industry. The losses are further increased due to the inability to diagnose the reproductive potential of the beef heifer prior to the breeding season until the pregnancy outcome. To overcome this problem, a system to discriminate beef heifers with varying reproductive potential as early and accurately as possible is demanded. The omics technologies, such as transcriptomics, could predict the future reproductive potential of beef heifers. Therefore, this manuscript provides the gene expression profile dataset using RNA-Seq identified from peripheral white blood cells (PWBC) of beef heifers at weaning. To accomplish this, the blood samples were collected at the time of weaning, processed to extract the PWBC pellet and stored at - 80 °C until further processing. After the breeding protocol (artificial insemination (AI) followed by natural bull service) and pregnancy diagnosis, the heifers that were pregnant to AI (

Indexed as

Beef heifersReproductive potentialTranscriptomeWeaning

Identifiers

PMID36969977
PMCPMC10034631
OpenAlexW4323817451

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read13
identifiers read1
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.