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Bronchial Epithelial Cells from Cystic Fibrosis Patients Express a Specific Long Non-coding RNA Signature upon Pseudomonas aeruginosa Infection

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 news outlet
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7 X users

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32 Mendeley
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Title
Bronchial Epithelial Cells from Cystic Fibrosis Patients Express a Specific Long Non-coding RNA Signature upon Pseudomonas aeruginosa Infection
Published in
Frontiers in Cellular and Infection Microbiology, May 2017
DOI 10.3389/fcimb.2017.00218
Pubmed ID
Authors

Viviane Balloy, Remya Koshy, Lea Perra, Harriet Corvol, Michel Chignard, Loïc Guillot, Vinod Scaria

Abstract

Pseudomonas aeruginosa (Pa) is the leading cause of chronic lung infection in Cystic Fibrosis (CF) patients. It is well recognized that CF epithelial cells fail to develop an appropriate response to infection, allowing bacterial colonization and a chronic inflammatory response. Since long non-coding RNAs (lncRNAs), are known to play a key role in regulating mammalian innate immune response, we hypothesized that CF cells exposed to Pa could express a specific lncRNA signature responsible of the maladaptative CF response. We analyzed transcriptomic datasets to compare the expression profiles of lncRNAs in primary CF and non-CF epithelial cells infected with Pa at 0, 2, 4, and 6 h of infection. Our analysis identified temporal expression signatures of 25, 73, 15, and 26 lncRNA transcripts differentially expressed at 0, 2, 4, and 6 h post-infection respectively, between CF and non-CF cells. In addition, we identified profiles specific to CF and non-CF cells. The differential expression of two candidate lncRNAs were independently validated using real-time PCR. We identified a specific CF signature of lncRNA expression in a context of Pa infection that could potentially play a role in the maladaptive immune response of CF patients.

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 4 13%
Other 2 6%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 6 19%
Unknown 12 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 19%
Agricultural and Biological Sciences 4 13%
Medicine and Dentistry 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Business, Management and Accounting 1 3%
Other 5 16%
Unknown 12 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 19 June 2017.
All research outputs
#2,477,038
of 24,503,376 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#432
of 7,513 outputs
Outputs of similar age
#45,756
of 318,389 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#18
of 188 outputs
Altmetric has tracked 24,503,376 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 94% 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 318,389 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 85% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.