Evidence map›Paper›PMID 33113825›Full record

ArticleInternational journal of molecular sciences2020

Identification of Ovine Serum miRNAs Following Bacterial Lipopolysaccharide Challenge.

Ankita Sharma, Umesh K Shandilya, Tianna Sullivan, Danielle Naylor, Angela Canovas, Bonnie A Mallard, Niel A Karrow

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Review
  8. Potential Novel Biomarkers for Mastitis Diagnosis in Sheep.Animals : an open access journal from MDPI · 2021
    Review
  9. 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

7 authors at 1 institution in 1 country.

Ankita SharmaDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Umesh K ShandilyaDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Tianna SullivanDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Danielle NaylorDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Angela CanovasDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-0036-0757
Bonnie A MallardDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.
Niel A KarrowDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
University of Guelph · CA

Funding

Canada First Research Excellence Funds 499124Mitacs Canada IT11601
6 · The paper itself

Abstract

Host-pathogen interactions are complex and influenced by host genetic and epigenetic modifications. Recently, the significance of microRNAs (miRNAs) in pathogenic infection and the regulation of immune response has been highlighted. However, information on miRNAs' role in the course of inflammation is still very limited in small ruminants. The present study was intended to identify changes in the expression of circulatory miRNAs post-lipopolysaccharide (LPS)-challenge. In this study, young ewes (

Indexed as

AnimalsCell DifferentiationCell SurvivalDown-RegulationFemaleGene Expression ProfilingGene Expression RegulationHypothalamo-Hypophyseal SystemLipopolysaccharidesMicroRNAsPituitary-Adrenal SystemSheepSignal TransductionUp-RegulationLipopolysaccharidesMicroRNAsexpressionlambslipopolysaccharidemicroRNAserum

Identifiers

PMID33113825
PMCPMC7663744
OpenAlexW3093941788

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.