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Managing the complexity of communication: regulation of gap junctions by post-translational modification

Overview of attention for article published in Frontiers in Pharmacology, January 2013
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Title
Managing the complexity of communication: regulation of gap junctions by post-translational modification
Published in
Frontiers in Pharmacology, January 2013
DOI 10.3389/fphar.2013.00130
Pubmed ID
Authors

Lene N. Axelsen, Kirstine Calloe, Niels-Henrik Holstein-Rathlou, Morten S. Nielsen

Abstract

Gap junctions are comprised of connexins that form cell-to-cell channels which couple neighboring cells to accommodate the exchange of information. The need for communication does, however, change over time and therefore must be tightly controlled. Although the regulation of connexin protein expression by transcription and translation is of great importance, the trafficking, channel activity and degradation are also under tight control. The function of connexins can be regulated by several post translational modifications, which affect numerous parameters; including number of channels, open probability, single channel conductance or selectivity. The most extensively investigated post translational modifications are phosphorylations, which have been documented in all mammalian connexins. Besides phosphorylations, some connexins are known to be ubiquitinated, SUMOylated, nitrosylated, hydroxylated, acetylated, methylated, and γ-carboxyglutamated. The aim of the present review is to summarize our current knowledge of post translational regulation of the connexin family of proteins.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Australia 1 <1%
Brazil 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Student > Master 18 16%
Researcher 14 13%
Student > Bachelor 13 12%
Student > Doctoral Student 9 8%
Other 14 13%
Unknown 16 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 33%
Biochemistry, Genetics and Molecular Biology 19 17%
Neuroscience 12 11%
Medicine and Dentistry 10 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 14 13%
Unknown 16 14%
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 22 October 2013.
All research outputs
#20,207,295
of 22,727,570 outputs
Outputs from Frontiers in Pharmacology
#9,962
of 15,957 outputs
Outputs of similar age
#248,792
of 280,760 outputs
Outputs of similar age from Frontiers in Pharmacology
#92
of 167 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,957 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.