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Bidirectional Scaling of Astrocytic Metabotropic Glutamate Receptor Signaling following Long-Term Changes in Neuronal Firing Rates

Overview of attention for article published in PLOS ONE, November 2012
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Title
Bidirectional Scaling of Astrocytic Metabotropic Glutamate Receptor Signaling following Long-Term Changes in Neuronal Firing Rates
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049637
Pubmed ID
Authors

Alison X. Xie, Min-Yu Sun, Thomas Murphy, Kelli Lauderdale, Elizabeth Tiglao, Todd A. Fiacco

Abstract

Very little is known about the ability of astrocytic receptors to exhibit plasticity as a result of changes in neuronal activity. Here we provide evidence for bidirectional scaling of astrocytic group I metabotropic glutamate receptor signaling in acute mouse hippocampal slices following long-term changes in neuronal firing rates. Plasticity of astrocytic mGluRs was measured by recording spontaneous and evoked Ca²⁺ elevations in both astrocytic somata and processes. An exogenous astrocytic Gq G protein-coupled receptor was resistant to scaling, suggesting that the alterations in astrocyte Ca²⁺ signaling result from changes in activity of the surface mGluRs rather than a change in intracellular G protein signaling molecules. These findings suggest that astrocytes actively detect shifts in neuronal firing rates and adjust their receptor signaling accordingly. This type of long-term plasticity in astrocytes resembles neuronal homeostatic plasticity and might be important to ensure an optimal or expected level of input from neurons.

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Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
France 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 35%
Researcher 13 25%
Student > Bachelor 4 8%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 44%
Neuroscience 15 29%
Unspecified 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Mathematics 1 2%
Other 6 12%
Unknown 5 10%