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CF airway smooth muscle transcriptome reveals a role for PYK2

Overview of attention for article published in JCI Insight, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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12 X users
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4 Facebook pages

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16 Mendeley
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Article details
Title
CF airway smooth muscle transcriptome reveals a role for PYK2
Published in
JCI Insight, September 2017
DOI 10.1172/jci.insight.95332
Pubmed ID
Authors
Abstract

Abnormal airway smooth muscle function can contribute to cystic fibrosis (CF) airway disease. We previously found that airway smooth muscle from newborn CF pigs had increased basal tone, an increased bronchodilator response, and abnormal calcium handling. Since CF pigs lack airway infection and inflammation at birth, these findings suggest intrinsic airway smooth muscle dysfunction in CF. In this study, we tested the hypothesis that CFTR loss in airway smooth muscle would produce a distinct set of changes in the airway smooth muscle transcriptome that we could use to develop novel therapeutic targets. Total RNA sequencing of newborn wild-type and CF airway smooth muscle revealed changes in muscle contraction-related genes, ontologies, and pathways. Using connectivity mapping, we identified several small molecules that elicit transcriptional signatures opposite of CF airway smooth muscle, including NVP-TAE684, an inhibitor of proline-rich tyrosine kinase 2 (PYK2). In CF airway smooth muscle tissue, PYK2 phosphorylation was increased and PYK2 inhibition decreased smooth muscle contraction. In vivo NVP-TAE684 treatment of wild-type mice reduced methacholine-induced airway smooth muscle contraction. These findings suggest that studies in the newborn CF pig may provide an important approach to enhance our understanding of airway smooth muscle biology and for discovery of novel airway smooth muscle therapeutics for CF and other diseases of airway hyperreactivity.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 25%
Student > Bachelor 3 19%
Student > Master 3 19%
Other 2 13%
Student > Ph. D. Student 1 6%
Other 0 0%
Unknown 3 19%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Agricultural and Biological Sciences 1 6%
Immunology and Microbiology 1 6%
Physics and Astronomy 1 6%
Other 2 13%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 November 2017.
All research outputs
#4,421,046
of 30,044,080 outputs
Outputs from JCI Insight
#1,599
of 4,745 outputs
Outputs of similar age
#61,418
of 330,072 outputs
Outputs of similar age from JCI Insight
#46
of 105 outputs
Altmetric has tracked 30,044,080 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,745 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has gotten more attention than average, scoring higher than 66% 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 330,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 105 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 56% of its contemporaries.