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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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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 %
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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 June 2012.
All research outputs
#15,184,741
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#6,529
of 8,964 outputs
Outputs of similar age
#103,147
of 179,143 outputs
Outputs of similar age from PLoS Computational Biology
#73
of 109 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 179,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.