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Orai/CRACM1 and KCa3.1 ion channels interact in the human lung mast cell plasma membrane

Overview of attention for article published in Cell Communication and Signaling, July 2015
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Title
Orai/CRACM1 and KCa3.1 ion channels interact in the human lung mast cell plasma membrane
Published in
Cell Communication and Signaling, July 2015
DOI 10.1186/s12964-015-0112-z
Pubmed ID
Authors

S. Mark Duffy, Ian Ashmole, Dawn T. Smallwood, Mark L. Leyland, Peter Bradding

Abstract

Orai/CRACM1 ion channels provide the major Ca(2+) influx pathway for FcεRI-dependent human lung mast cell (HLMC) mediator release. The Ca(2+)-activated K(+) channel KCa3.1 modulates Ca(2+) influx and the secretory response through hyperpolarisation of the plasma membrane. We hypothesised that there is a close functional and spatiotemporal interaction between these Ca(2+)- and K(+)-selective channels. Activation of FcεRI-dependent HLMC KCa3.1 currents was dependent on the presence of extracellular Ca(2+), and attenuated in the presence of the selective Orai blocker GSK-7975A. Currents elicited by the KCa3.1 opener 1-EBIO were also attenuated by GSK-7975A. The Orai1 E106Q dominant-negative mutant ablated 1-EBIO and FcεRI-dependent KCa3.1 currents in HLMCs. Orai1 but not Orai2 was shown to co-immunoprecipitate with KCa3.1 when overexpressed in HEK293 cells, and Orai1 and KCa3.1 were seen to co-localise in the HEK293 plasma membrane using confocal microscopy. KCa3.1 activation in HLMCs is highly dependent on Ca(2+) influx through Orai1 channels, mediated via a close spatiotemporal interaction between the two channels.

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Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Student > Master 3 17%
Professor 2 11%
Other 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 28%
Biochemistry, Genetics and Molecular Biology 4 22%
Medicine and Dentistry 3 17%
Neuroscience 2 11%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 3 17%