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Termination of Ca2+ Release for Clustered IP3R Channels

Overview of attention for article published in PLoS Computational Biology, May 2012
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Title
Termination of Ca2+ Release for Clustered IP3R Channels
Published in
PLoS Computational Biology, May 2012
DOI 10.1371/journal.pcbi.1002485
Pubmed ID
Authors

Sten Rüdiger, Peter Jung, Jian-Wei Shuai

Abstract

In many cell types, release of calcium ions is controlled by inositol 1,4,5-trisphosphate (IP₃) receptor channels. Elevations in Ca²⁺ concentration after intracellular release through IP₃ receptors (IP₃R) can either propagate in the form of waves spreading through the entire cell or produce spatially localized puffs. The appearance of waves and puffs is thought to implicate random initial openings of one or a few channels and subsequent activation of neighboring channels because of an "autocatalytic" feedback. It is much less clear, however, what determines the further time course of release, particularly since the lifetime is very different for waves (several seconds) and puffs (around 100 ms). Here we study the lifetime of Ca²⁺ signals and their dependence on residual Ca²⁺ microdomains. Our general idea is that Ca²⁺ microdomains are dynamical and mediate the effect of other physiological processes. Specifically, we focus on the mechanism by which Ca²⁺ binding proteins (buffers) alter the lifetime of Ca²⁺ signals. We use stochastic simulations of channel gating coupled to a coarse-grained description for the Ca²⁺ concentration. To describe the Ca²⁺ concentration in a phenomenological way, we here introduce a differential equation, which reflects the buffer characteristics by a few effective parameters. This non-stationary model for microdomains gives deep insight into the dynamical differences between puffs and waves. It provides a novel explanation for the different lifetimes of puffs and waves and suggests that puffs are terminated by Ca²⁺ inhibition while IP₃ unbinding is responsible for termination of waves. Thus our analysis hints at an additional role of IP3 and shows how cells can make use of the full complexity in IP₃R gating behavior to achieve different signals.

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Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Researcher 8 25%
Student > Master 4 13%
Professor 2 6%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 19%
Neuroscience 4 13%
Biochemistry, Genetics and Molecular Biology 2 6%
Mathematics 2 6%
Physics and Astronomy 2 6%
Other 7 22%
Unknown 9 28%