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Characterization of a plasma membrane Ca2+ ATPase expressed in olfactory receptor neurons of the moth Spodoptera littoralis

Overview of attention for article published in Cell and Tissue Research, September 2012
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Title
Characterization of a plasma membrane Ca2+ ATPase expressed in olfactory receptor neurons of the moth Spodoptera littoralis
Published in
Cell and Tissue Research, September 2012
DOI 10.1007/s00441-012-1483-8
Pubmed ID
Authors

Adrien François, Françoise Bozzolan, Elodie Demondion, Nicolas Montagné, Philippe Lucas, Stéphane Debernard

Abstract

The response of insect olfactory receptor neurons (ORNs) involves an increase in intracellular Ca(2+) concentration, as in vertebrate ORNs. In order to decipher the Ca(2+) clearance mechanisms in insect ORNs, we have investigated the presence of a plasma membrane Ca(2+) ATPase (PMCA) in the peripheral olfactory system of the moth Spodoptera littoralis. From an analysis of a male antennal expressed-sequence-tag database combined with a strategy of 5'/3' rapid amplification of cDNA ends plus the polymerase chain reaction, we have cloned a full-length cDNA encoding a PMCA. In adult males, the PMCA transcript has been found in various tissues, including the antennae in which its presence has been detected in the sensilla trichodea, and in cultured ORNs. The PMCA gene is slightly expressed at the end of the pupal stage, reaches a maximum at emergence and is maintained at a high level during the adult period. Taken together, these results provide, for the first time, molecular evidence for the putative participation of a PMCA in signalling pathways responsible for the establishment and functioning of the insect peripheral olfactory system.

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Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Professor > Associate Professor 2 17%
Student > Master 2 17%
Student > Ph. D. Student 2 17%
Other 1 8%
Other 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 92%
Neuroscience 1 8%