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Calcium Input Frequency, Duration and Amplitude Differentially Modulate the Relative Activation of Calcineurin and CaMKII

Overview of attention for article published in PLOS ONE, September 2012
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Title
Calcium Input Frequency, Duration and Amplitude Differentially Modulate the Relative Activation of Calcineurin and CaMKII
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0043810
Pubmed ID
Authors

Lu Li, Melanie I. Stefan, Nicolas Le Novère

Abstract

NMDA receptor dependent long-term potentiation (LTP) and long-term depression (LTD) are two prominent forms of synaptic plasticity, both of which are triggered by post-synaptic calcium elevation. To understand how calcium selectively stimulates two opposing processes, we developed a detailed computational model and performed simulations with different calcium input frequencies, amplitudes, and durations. We show that with a total amount of calcium ions kept constant, high frequencies of calcium pulses stimulate calmodulin more efficiently. Calcium input activates both calcineurin and Ca(2+)/calmodulin-dependent protein kinase II (CaMKII) at all frequencies, but increased frequencies shift the relative activation from calcineurin to CaMKII. Irrespective of amplitude and duration of the inputs, the total amount of calcium ions injected adjusts the sensitivity of the system to calcium input frequencies. At a given frequency, the quantity of CaMKII activated is proportional to the total amount of calcium. Thus, an input of a small amount of calcium at high frequencies can induce the same activation of CaMKII as a larger amount, at lower frequencies. Finally, the extent of activation of CaMKII signals with high calcium frequency is further controlled by other factors, including the availability of calmodulin, and by the potency of phosphatase inhibitors.

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Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 2 1%
France 2 1%
Germany 1 <1%
Switzerland 1 <1%
India 1 <1%
Israel 1 <1%
Portugal 1 <1%
Russia 1 <1%
Other 3 2%
Unknown 156 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 28%
Researcher 34 20%
Student > Master 23 13%
Student > Bachelor 19 11%
Professor 6 3%
Other 17 10%
Unknown 26 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 40%
Neuroscience 29 17%
Medicine and Dentistry 11 6%
Biochemistry, Genetics and Molecular Biology 10 6%
Computer Science 6 3%
Other 17 10%
Unknown 30 17%