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Oscillation of cAMP and Ca2+ in cardiac myocytes: a systems biology approach

Overview of attention for article published in The Journal of Physiological Sciences, January 2015
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Title
Oscillation of cAMP and Ca2+ in cardiac myocytes: a systems biology approach
Published in
The Journal of Physiological Sciences, January 2015
DOI 10.1007/s12576-014-0354-3
Pubmed ID
Authors

Takehisa Kamide, Satoshi Okumura, Samik Ghosh, Yoko Shinoda, Yasumasa Mototani, Yoshiki Ohnuki, Huiling Jin, Wenqian Cai, Kenji Suita, Itaru Sato, Masanari Umemura, Takayuki Fujita, Utako Yokoyama, Motohiko Sato, Kazuharu Furutani, Hiroaki Kitano, Yoshihiro Ishikawa

Abstract

Cyclic adenosine monophosphate (cAMP) and Ca(2+) levels may oscillate in harmony within excitable cells; a mathematical oscillation loop model, the Cooper model, of these oscillations was developed two decades ago. However, in that model all adenylyl cyclase (AC) isoforms were assumed to be inhibited by Ca(2+), and it is now known that the heart expresses multiple AC isoforms, among which the type 5/6 isoforms are Ca(2+)-inhibitable whereas the other five (AC2, 3, 4, 7, and 9) are not. We used a computational systems biology approach with CellDesigner simulation software to develop a comprehensive graphical map and oscillation loop model for cAMP and Ca(2+). This model indicated that Ca(2+)-mediated inhibition of AC is essential to create oscillations of Ca(2+) and cAMP, and the oscillations were not altered by incorporation of phosphodiesterase-mediated cAMP hydrolysis or PKA-mediated inhibition of AC into the model. More importantly, they were created but faded out immediately in the co-presence of Ca(2+)-noninhibitable AC isoforms. Because the subcellular locations of AC isoforms are different, spontaneous cAMP and Ca(2+) oscillations may occur within microdomains containing only Ca(2+)-inhibitable isoforms in cardiac myocytes, which might be necessary for fine tuning of excitation-contraction coupling.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Doctoral Student 2 9%
Professor 2 9%
Student > Master 2 9%
Student > Ph. D. Student 2 9%
Other 4 17%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Biochemistry, Genetics and Molecular Biology 4 17%
Pharmacology, Toxicology and Pharmaceutical Science 3 13%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 7 30%