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Modeling CaMKII in cardiac physiology: from molecule to tissue

Overview of attention for article published in Frontiers in Pharmacology, January 2014
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Title
Modeling CaMKII in cardiac physiology: from molecule to tissue
Published in
Frontiers in Pharmacology, January 2014
DOI 10.3389/fphar.2014.00009
Pubmed ID
Authors

Birce Onal, Sathya D. Unudurthi, Thomas J. Hund

Abstract

Post-translational modification of membrane proteins (e.g., ion channels, receptors) by protein kinases is an essential mechanism for control of excitable cell function. Importantly, loss of temporal and/or spatial control of ion channel post-translational modification is common in congenital and acquired forms of cardiac disease and arrhythmia. The multifunctional Ca(2+)/calmodulin-dependent protein kinase II (CaMKII) regulates a number of diverse cellular functions in heart, including excitation-contraction coupling, gene transcription, and apoptosis. Dysregulation of CaMKII signaling has been implicated in human and animal models of disease. Understanding of CaMKII function has been advanced by mathematical modeling approaches well-suited to the study of complex biological systems. Early kinetic models of CaMKII function in the brain characterized this holoenzyme as a bistable molecular switch capable of storing information over a long period of time. Models of CaMKII activity have been incorporated into models of the cell and tissue (particularly in the heart) to predict the role of CaMKII in regulating organ function. Disease models that incorporate CaMKII overexpression clearly demonstrate a link between its excessive activity and arrhythmias associated with congenital and acquired heart disease. This review aims at discussing systems biology approaches that have been applied to analyze CaMKII signaling from the single molecule to intact cardiac tissue. In particular, efforts to use computational biology to provide new insight into cardiac disease mechanisms are emphasized.

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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 8 25%
Researcher 7 22%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 2 6%
Unknown 9 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 25%
Medicine and Dentistry 6 19%
Biochemistry, Genetics and Molecular Biology 3 9%
Engineering 3 9%
Chemistry 1 3%
Other 1 3%
Unknown 10 31%
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 04 February 2014.
All research outputs
#20,219,902
of 22,743,667 outputs
Outputs from Frontiers in Pharmacology
#9,970
of 15,989 outputs
Outputs of similar age
#264,758
of 305,211 outputs
Outputs of similar age from Frontiers in Pharmacology
#28
of 40 outputs
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