Evidence map›Paper›PMID 26664912›Full record

ReviewFrontiers in veterinary science2014

Peptide Arrays for Kinome Analysis of Livestock Species.

Joanna Daigle, Brenden Van Wyk, Brett Trost, Erin Scruten, Ryan Arsenault, Anthony Kusalik, Philip John Griebel, Scott Napper

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in veterinary science, 2014. 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
1.3field-weighted citation impact, top 19% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
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  6. 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

8 authors at 2 institutions in 2 countries.

Joanna DaigleVIDO-InterVac, University of Saskatchewan , Saskatoon, SK , Canada ; Department of Biochemistry, University of Saskatchewan , Saskatoon, SK , Canada.
Brenden Van WykVIDO-InterVac, University of Saskatchewan , Saskatoon, SK , Canada ; Department of Biochemistry, University of Saskatchewan , Saskatoon, SK , Canada.
Brett TrostDepartment of Computer Science, University of Saskatchewan , Saskatoon, SK , Canada.
Erin ScrutenVIDO-InterVac, University of Saskatchewan , Saskatoon, SK , Canada.
Ryan ArsenaultUnited States Department of Agriculture, Agricultural Research Service, SPARC , College Station, TX , USA.
Anthony KusalikDepartment of Computer Science, University of Saskatchewan , Saskatoon, SK , Canada.
Philip John GriebelVIDO-InterVac, University of Saskatchewan , Saskatoon, SK , Canada ; School of Public Health, University of Saskatchewan , Saskatoon, SK , Canada.
Scott NapperVIDO-InterVac, University of Saskatchewan , Saskatoon, SK , Canada ; Department of Biochemistry, University of Saskatchewan , Saskatoon, SK , Canada.
University of Saskatchewan · CAAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reversible protein phosphorylation is a central mechanism for both the transfer of intracellular information and the initiation of cellular responses. Within human medicine, considerable emphasis is placed on understanding and controlling the enzymes (kinases) that are responsible for catalyzing these modifications. This is evident in the prominent use of kinase inhibitors as drugs as well as the trend to understand complex biology and identify biomarkers via characterizations of global kinase (kinome) activity. Despite the demonstrated value of focusing on kinome activity, the application of this perspective to livestock has been restricted by the absence of appropriate research tools. In this review, we discuss the development of software platforms that facilitate the development and application of species-specific peptide arrays for kinome analysis of livestock. Examples of the application of kinomic approaches to a number of priority species (cattle, pigs, and chickens) in a number of biological contexts (infections, biomarker discovery, and food quality) are presented as are emerging trends for kinome analysis of livestock.

Indexed as

infectious diseasekinaseskinomelivestockpeptide array

Identifiers

PMID26664912
PMCPMC4668848
OpenAlexW2118988867

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.