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Alarm pheromone and kairomone detection via bitter taste receptors in the mouse Grueneberg ganglion

Overview of attention for article published in BMC Biology, January 2018
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Title
Alarm pheromone and kairomone detection via bitter taste receptors in the mouse Grueneberg ganglion
Published in
BMC Biology, January 2018
DOI 10.1186/s12915-017-0479-y
Pubmed ID
Authors

Fabian Moine, Julien Brechbühl, Monique Nenniger Tosato, Manon Beaumann, Marie-Christine Broillet

Abstract

The mouse Grueneberg ganglion (GG) is an olfactory subsystem specialized in the detection of volatile heterocyclic compounds signalling danger. The signalling pathways transducing the danger signals are only beginning to be characterized. Screening chemical libraries for compounds structurally resembling the already-identified GG ligands, we found a new category of chemicals previously identified as bitter tastants that initiated fear-related behaviours in mice depending on their volatility and evoked neuronal responses in mouse GG neurons. Screening for the expression of signalling receptors of these compounds in the mouse GG yielded transcripts of the taste receptors Tas2r115, Tas2r131, Tas2r143 and their associated G protein α-gustducin (Gnat3). We were further able to confirm their expression at the protein level. Challenging these three G protein-coupled receptors in a heterologous system with the known GG ligands, we identified TAS2R143 as a chemical danger receptor transducing both alarm pheromone and predator-derived kairomone signals. These results demonstrate that similar molecular elements might be used by the GG and by the taste system to detect chemical danger signals present in the environment.

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The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Ph. D. Student 9 18%
Researcher 6 12%
Student > Doctoral Student 5 10%
Student > Bachelor 4 8%
Other 3 6%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 22%
Biochemistry, Genetics and Molecular Biology 9 18%
Neuroscience 9 18%
Engineering 2 4%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 14 29%