Evidence map›Paper›PMID 38927648›Full record

ArticleGenes2024

Characterization of the Hepatic Transcriptome for Divergent Immune-Responding Sheep Following Natural Exposure to Gastrointestinal Nematodes.

Olivia Willoughby, Niel A Karrow, Samla Marques Freire Cunha, Victoria Asselstine, Bonnie A Mallard, Ángela Cánovas

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Olivia WilloughbyCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, Ontario Agriculture College, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada.
Niel A KarrowCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, Ontario Agriculture College, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada.
Samla Marques Freire CunhaCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, Ontario Agriculture College, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-0763-8782
Victoria AsselstineCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, Ontario Agriculture College, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada.
Bonnie A MallardDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada.
Ángela CánovasCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, Ontario Agriculture College, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-0036-0757

Funding

Ministry of Agriculture, Food and Rural Affairs Tier I: UG-T1-2020-100261Ontario Agri-Food Innovation Alliance Tier I: UG-T1-2020-100261
6 · The paper itself

Abstract

Infections with gastrointestinal nematodes (GINs) reduce the economic efficiency of sheep operations and compromise animal welfare. Understanding the host's response to GIN infection can help producers identify animals that are naturally resistant to infection. The objective of this study was to characterize the hepatic transcriptome of sheep that had been naturally exposed to GIN parasites. The hepatic transcriptome was studied using RNA-Sequencing technology in animals characterized as high (

Indexed as

Immunity, InnateLiverNematode InfectionsSheep DiseasesTranscriptomeAdaptive ImmunityAnimalsGastrointestinal DiseasesNematodaSheepgastrointestinal nematodeimmune responseRNA-sequencingsheep

Identifiers

PMID38927648
PMCPMC11202434

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.