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GTP-dependent run-up of Piezo2-type mechanically activated currents in rat dorsal root ganglion neurons

Overview of attention for article published in Molecular Brain, December 2013
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Title
GTP-dependent run-up of Piezo2-type mechanically activated currents in rat dorsal root ganglion neurons
Published in
Molecular Brain, December 2013
DOI 10.1186/1756-6606-6-57
Pubmed ID
Authors

Zhanfeng Jia, Ryo Ikeda, Jennifer Ling, Jianguo G Gu

Abstract

Rapidly adapting mechanically activated channels (RA) are expressed in primary afferent neurons and identified as Piezo2 ion channels. We made whole-cell voltage-clamp recordings from cultured dorsal root ganglion (DRG) neurons to study RA channel regulation. RA currents showed gradual increases in current amplitude (current "run-up") after establishing whole-cell mode when 0.33 mM GTP or 0.33 mM GTPγS was included in the patch pipette internal solution. RA current run-up was also observed in HEK293 cells that heterologously expressed Piezo2 ion channels. No significant RA current run-up was observed in DRG neurons when GTP was omitted from the patch pipette internal solution, when GTP was replaced with 0.33 mM GDP, or when recordings were made under the perforated patch-clamp recording configuration. Our findings revealed a GTP-dependent up-regulation of the function of piezo2 ion channels in DRG neurons.

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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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 44%
Professor > Associate Professor 6 19%
Researcher 3 9%
Student > Postgraduate 2 6%
Student > Master 1 3%
Other 2 6%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 28%
Neuroscience 8 25%
Engineering 3 9%
Medicine and Dentistry 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 7 22%
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 03 February 2014.
All research outputs
#13,702,569
of 22,736,112 outputs
Outputs from Molecular Brain
#496
of 1,103 outputs
Outputs of similar age
#158,147
of 286,055 outputs
Outputs of similar age from Molecular Brain
#8
of 32 outputs
Altmetric has tracked 22,736,112 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 1,103 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 286,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 71% of its contemporaries.