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Phosphorylated C/EBPβ Influences a Complex Network Involving YY1 and USF2 in Lung Epithelial Cells

Overview of attention for article published in PLOS ONE, April 2013
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Article details
Title
Phosphorylated C/EBPβ Influences a Complex Network Involving YY1 and USF2 in Lung Epithelial Cells
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0060211
Pubmed ID
Authors
Abstract

The promoter of the cystic fibrosis transmembrane conductance regulator gene CFTR is tightly controlled by regulators including CCAAT/enhancer binding proteins (C/EBPs). We previously reported that the transcription factors YY1 and USF2 affect CFTR expression. We can now demonstrate that C/EBPβ, a member of the CCAAT family, binds to the CFTR promoter and contributes to its transcriptional activity. Our data reveal that C/EBPβ cooperates with USF2 and acts antagonistically to YY1 in the control of CFTR expression. Interestingly, YY1, a strong repressor, fails to repress the CFTR activation induced by USF2 through DNA binding competition. Collectively, the data strongly suggest a model by which USF2 functionally interacts with YY1 blocking its inhibitory activity, in favour of C/EBPβ transactivation. Further investigation into the interactions between these three proteins revealed that phosphorylation of C/EBPβ influences the DNA occupancy of YY1 and favours the interaction between USF2 and YY1. This phosphorylation process has several implications in the CFTR transcriptional process, thus evoking an additional layer of complexity to the mechanisms influencing CFTR gene regulation.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Australia 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 4 27%
Professor > Associate Professor 3 20%
Professor 1 7%
Unknown 2 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 6 40%
Medicine and Dentistry 3 20%
Biochemistry, Genetics and Molecular Biology 2 13%
Computer Science 1 7%
Immunology and Microbiology 1 7%
Other 0 0%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 April 2013.
All research outputs
#27,724,172
of 34,358,242 outputs
Outputs from PLOS ONE
#176,869
of 224,504 outputs
Outputs of similar age
#195,846
of 248,498 outputs
Outputs of similar age from PLOS ONE
#4,265
of 5,655 outputs
Altmetric has tracked 34,358,242 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 248,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,655 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.