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Diversity of Evoked Astrocyte Ca2+ Dynamics Quantified through Experimental Measurements and Mathematical Modeling

Overview of attention for article published in Frontiers in Systems Neuroscience, October 2017
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Title
Diversity of Evoked Astrocyte Ca2+ Dynamics Quantified through Experimental Measurements and Mathematical Modeling
Published in
Frontiers in Systems Neuroscience, October 2017
DOI 10.3389/fnsys.2017.00079
Pubmed ID
Authors

Marsa Taheri, Gregory Handy, Alla Borisyuk, John A. White

Abstract

Astrocytes are a major cell type in the mammalian brain. They are not electrically excitable, but generate prominent Ca(2+) signals related to a wide variety of critical functions. The mechanisms driving these Ca(2+) events remain incompletely understood. In this study, we integrate Ca(2+) imaging, quantitative data analysis, and mechanistic computational modeling to study the spatial and temporal heterogeneity of cortical astrocyte Ca(2+) transients evoked by focal application of ATP in mouse brain slices. Based on experimental results, we tune a single-compartment mathematical model of IP3-dependent Ca(2+) responses in astrocytes and use that model to study response heterogeneity. Using information from the experimental data and the underlying bifurcation structure of our mathematical model, we categorize all astrocyte Ca(2+) responses into four general types based on their temporal characteristics: Single-Peak, Multi-Peak, Plateau, and Long-Lasting responses. We find that the distribution of experimentally-recorded response types depends on the location within an astrocyte, with somatic responses dominated by Single-Peak (SP) responses and large and small processes generating more Multi-Peak responses. On the other hand, response kinetics differ more between cells and trials than with location within a given astrocyte. We use the computational model to elucidate possible sources of Ca(2+) response variability: (1) temporal dynamics of IP3, and (2) relative flux rates through Ca(2+) channels and pumps. Our model also predicts the effects of blocking Ca(2+) channels/pumps; for example, blocking store-operated Ca(2+) (SOC) channels in the model eliminates Plateau and Long-Lasting responses (consistent with previous experimental observations). Finally, we propose that observed differences in response type distributions between astrocyte somas and processes can be attributed to systematic differences in IP3 rise durations and Ca(2+) flux rates.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 25%
Student > Master 8 17%
Student > Bachelor 7 15%
Researcher 6 13%
Professor 4 8%
Other 7 15%
Unknown 4 8%
Readers by discipline Count As %
Neuroscience 14 29%
Medicine and Dentistry 6 13%
Agricultural and Biological Sciences 5 10%
Engineering 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 10 21%
Unknown 7 15%
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 06 November 2017.
All research outputs
#14,366,228
of 23,005,189 outputs
Outputs from Frontiers in Systems Neuroscience
#837
of 1,345 outputs
Outputs of similar age
#181,821
of 327,879 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#14
of 25 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 34th percentile – i.e., 34% 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 327,879 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 25 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.