Literature DB >> 17284344

Modelling the early steps of transduction in insect olfactory receptor neurons.

Jean-Pierre Rospars1, Philippe Lucas, Mathieu Coppey.   

Abstract

Olfactory transduction is a multistep process whose basic function is to convert a low energy reaction, the odorant-receptor interaction that may involve a single odorant molecule, into a whole cell electrical response, the receptor potential, which triggers the firing of one or more action potentials. Although much effort has been devoted to the experimental analysis of transduction in olfactory receptor neurons (ORNS), especially in the favorable moth sex-pheromone receptor neuron, its modelling is less advanced. The model we investigated, which takes into account the translocation of pheromone molecules from air to the extracellular space, their deactivation and their interaction with receptors, focuses on the membrane cascade. It involves the interaction of receptors, G-proteins and effector enzymes, whose reaction rates are limited by lateral diffusion in the membrane. The evolutions in time of these species in response to single pulse stimulation of various intensities were compared to one another and to the experimentally measured electrical response. The results obtained suggest that the receptor-to-effector conversion is fast with respect to the receptor response, that it presents a small amplification factor, contrary to the photoreceptor, and that most of the amplification is achieved in the post-effector processes involving the second messenger and ionic channels.

Mesh:

Year:  2006        PMID: 17284344     DOI: 10.1016/j.biosystems.2006.05.015

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  8 in total

1.  Modeling the response of a population of olfactory receptor neurons to an odorant.

Authors:  Malin Sandström; Anders Lansner; Jeanette Hellgren-Kotaleski; Jean-Pierre Rospars
Journal:  J Comput Neurosci       Date:  2009-05-05       Impact factor: 1.621

2.  Modelling and sensitivity analysis of the reactions involving receptor, G-protein and effector in vertebrate olfactory receptor neurons.

Authors:  Geir Halnes; Erik Ulfhielm; Emma Eklöf Ljunggren; Jeanette Hellgren Kotaleski; Jean-Pierre Rospars
Journal:  J Comput Neurosci       Date:  2009-06-17       Impact factor: 1.621

Review 3.  Kinetics of olfactory responses might largely depend on the odorant-receptor interaction and the odorant deactivation postulated for flux detectors.

Authors:  Karl-Ernst Kaissling
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-04-07       Impact factor: 1.836

4.  Dynamical modeling of the moth pheromone-sensitive olfactory receptor neuron within its sensillar environment.

Authors:  Yuqiao Gu; Jean-Pierre Rospars
Journal:  PLoS One       Date:  2011-03-02       Impact factor: 3.240

5.  Event timing in associative learning: from biochemical reaction dynamics to behavioural observations.

Authors:  Ayse Yarali; Johannes Nehrkorn; Hiromu Tanimoto; Andreas V M Herz
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

6.  Computational model of the insect pheromone transduction cascade.

Authors:  Yuqiao Gu; Philippe Lucas; Jean-Pierre Rospars
Journal:  PLoS Comput Biol       Date:  2009-03-20       Impact factor: 4.475

7.  Promising Aedes aegypti repellent chemotypes identified through integrated QSAR, virtual screening, synthesis, and bioassay.

Authors:  Polina V Oliferenko; Alexander A Oliferenko; Gennadiy I Poda; Dmitry I Osolodkin; Girinath G Pillai; Ulrich R Bernier; Maia Tsikolia; Natasha M Agramonte; Gary G Clark; Kenneth J Linthicum; Alan R Katritzky
Journal:  PLoS One       Date:  2013-09-06       Impact factor: 3.240

8.  A physicochemical model of odor sampling.

Authors:  Mitchell E Gronowitz; Adam Liu; Qiang Qiu; C Ron Yu; Thomas A Cleland
Journal:  PLoS Comput Biol       Date:  2021-06-11       Impact factor: 4.475

  8 in total

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