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Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation

Overview of attention for article published in Frontiers in Genetics, May 2018
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Title
Identification of Central Regulators of Calcium Signaling and ECM–Receptor Interaction Genetically Associated With the Progression and Recurrence of Atrial Fibrillation
Published in
Frontiers in Genetics, May 2018
DOI 10.3389/fgene.2018.00162
Pubmed ID
Authors

Petra Büttner, Laura Ueberham, M. B. Shoemaker, Dan M. Roden, Borislav Dinov, Gerhard Hindricks, Andreas Bollmann, Daniela Husser

Abstract

Atrial fibrillation (AF) is a multifactorial disease with a strong genetic background. It is assumed that common and rare genetic variants contribute to the progression and recurrence of AF. The pathophysiological impact of those variants, especially when they are synonymous or non-coding, is often elusive and translation into functional experiments is difficult. In this study, we propose a method to go straight from genetic variants to defined gene targets. We focused on 55 genes from calcium signaling and 26 genes from extra cellular matrix ECM-receptor interaction that we found to be associated with the progression and recurrence of AF. These genes were mapped on protein-protein interaction data from three different databases. Based on the concept that central regulators are highly connected with their neighbors, we identified central hub proteins according to random walk analysis derived scores representing interaction grade. Our approach resulted in the identification of EGFR, RYR2, and PRKCA (calcium signaling) and FN1 and LAMA1 (ECM-receptor interaction) which represent promising targets for further functional characterization or pharmaceutical intervention.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Student > Bachelor 1 8%
Professor 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Ph. D. Student 1 8%
Other 3 25%
Unknown 3 25%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Agricultural and Biological Sciences 2 17%
Veterinary Science and Veterinary Medicine 1 8%
Unknown 5 42%
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 20 May 2018.
All research outputs
#18,613,415
of 23,057,470 outputs
Outputs from Frontiers in Genetics
#7,170
of 12,106 outputs
Outputs of similar age
#253,651
of 327,735 outputs
Outputs of similar age from Frontiers in Genetics
#96
of 126 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,106 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.