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Evidence for Altered Ca2+ Handling in Growth Associated Protein 43-Knockout Skeletal Muscle

Overview of attention for article published in Frontiers in Physiology, October 2016
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Evidence for Altered Ca2+ Handling in Growth Associated Protein 43-Knockout Skeletal Muscle
Published in
Frontiers in Physiology, October 2016
DOI 10.3389/fphys.2016.00493
Pubmed ID
Authors

Giusy A. Caprara, Caterina Morabito, Stefano Perni, Riccardo Navarra, Simone Guarnieri, Maria A. Mariggiò

Abstract

Neuronal growth-associated protein 43 (GAP43) has crucial roles in the nervous system, and during development, regeneration after injury, and learning and memory. GAP43 is expressed in mouse skeletal muscle fibers and satellite cells, with suggested its involvement in intracellular Ca(2+) handling. However, the physiological role of GAP43 in muscle remains unknown. Using a GAP43-knockout (GAP43(-/-)) mouse, we have defined the role of GAP43 in skeletal muscle. GAP43(-/-) mice showed low survival beyond weaning, reduced adult body weight, decreased muscle strength, and changed myofiber ultrastructure, with no significant differences in the expression of markers of satellite cell and myotube progression through the myogenic program. Thus, GAP43 expression is involved in timing of muscle maturation in-vivo. Intracellular Ca(2+) measurements in-vitro in myotubes revealed GAP43 involvement in Ca(2+) handling. In the absence of GAP43 expression, the spontaneous Ca(2+) variations had greater amplitudes and higher frequency. In GAP43(-)/(-) myotubes, also the intracellular Ca(2+) variations induced by the activation of dihydropyridine and ryanodine Ca(2+) channels, resulted modified. These evidences suggested dysregulation of Ca(2+) homeostasis. The emerging hypothesis indicates that GAP43 interacts with calmodulin to indirectly modulate the activities of dihydropyridine and ryanodine Ca(2+) channels. This thus influences intracellular Ca(2+) dynamics and its related intracellular patterns, from functional excitation-contraction coupling, to cell metabolism, and gene expression.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Other 2 14%
Professor > Associate Professor 2 14%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 2 14%
Neuroscience 2 14%
Earth and Planetary Sciences 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 October 2016.
All research outputs
#15,387,502
of 22,893,031 outputs
Outputs from Frontiers in Physiology
#6,704
of 13,689 outputs
Outputs of similar age
#197,187
of 314,037 outputs
Outputs of similar age from Frontiers in Physiology
#94
of 201 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,689 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 47th percentile – i.e., 47% 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 314,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.