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Enhancing the toolbox to study IL-17A in cattle and sheep

Overview of attention for article published in Veterinary Research, April 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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7 X users

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29 Mendeley
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Title
Enhancing the toolbox to study IL-17A in cattle and sheep
Published in
Veterinary Research, April 2017
DOI 10.1186/s13567-017-0426-5
Pubmed ID
Authors

Sean R. Wattegedera, Yolanda Corripio-Miyar, Yvonne Pang, David Frew, Tom N. McNeilly, Javier Palarea-Albaladejo, Colin J. McInnes, Jayne C. Hope, Elizabeth J. Glass, Gary Entrican

Abstract

The development of methods to detect cytokine expression by T cell subsets in ruminants is fundamental to strategic development of new livestock vaccines for prevention of infectious diseases. It has been possible to detect T cell expression of IFN-γ, IL-4 and IL-10 in ruminants for many years but methods to detect expression of IL-17A are relatively limited. To address this gap in capability we have cloned bovine and ovine IL-17A cDNAs and expressed biologically-active recombinant proteins in Chinese Hamster Ovary (CHO) cells. We used the transfected CHO cells to screen commercially-available antibodies for their ability to detect IL-17A expression intracellularly and in culture supernates. We demonstrate that an ELISA for bovine IL-17A detects native ovine IL-17A. Moreover, the constituent polyclonal antibodies (pabs) in the ELISA were used to enumerate peripheral blood mononuclear cells (PBMC) expressing IL-17A from cattle and sheep by ELISpot. We identified two monoclonal antibodies (mabs) that detect recombinant intracellular IL-17A in CHO cells by flow cytometry. One of these mabs was used to detect native intracellular IL-17A expression in PBMC in conjunction with cell surface phenotyping mabs [CD4+ve, CD8+ve and Workshop Cluster 1 (WC-1)+ve gamma-delta (γδ)] we show that distinct T cell subsets in cattle (defined as CD4+ve, CD8+ve or WC-1+ve) and sheep (defined as CD4+ve or WC-1+ve) can express IL-17A following activation. These novel techniques provide a solid basis to investigate IL-17A expression and define specific CD4+ve T cell subset activation in ruminants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 38%
Student > Ph. D. Student 5 17%
Student > Doctoral Student 4 14%
Student > Bachelor 2 7%
Other 1 3%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 11 38%
Immunology and Microbiology 7 24%
Agricultural and Biological Sciences 4 14%
Medicine and Dentistry 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 7%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 May 2018.
All research outputs
#6,873,656
of 25,382,440 outputs
Outputs from Veterinary Research
#310
of 1,337 outputs
Outputs of similar age
#102,447
of 324,441 outputs
Outputs of similar age from Veterinary Research
#4
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,337 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,441 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.