Literature DB >> 12438204

Oscillatory current responses of olfactory receptor neurons to odorants and computer simulation based on a cyclic AMP transduction model.

Noriyo Suzuki1, Masakazu Takahata, Koji Sato.   

Abstract

Neural oscillatory activities triggered by odorant stimulation have been often reported at various levels of olfactory nervous systems in vertebrates. To elucidate the origin of neural oscillations, we studied first the oscillatory properties of current responses of isolated olfactory receptor neurons (ORNs) of the rainbow trout to amino acid odorants, using a whole-cell voltage-clamp technique and found that the damped current oscillations were intrinsic in both ciliated and microvillous ORNs and occurred when ORNs were stimulated by odorants at high intensities. Continuous wavelet analysis using the Gabor function revealed that the dominant frequency of oscillations was 1.89 +/- 0.50 Hz (mean +/- SD, n = 92). There was no significant difference in oscillation frequency between the two types of ORNs and between different perfusion conditions with standard and Na(+)-free (choline) Ringer's solutions, but there was a slight difference in oscillation frequency between different holding potential conditions of negative and positive potentials. We then performed a computer simulation of the current responses with a cAMP olfactory transduction model. The model was based on the assumption that the current responses of ORNs were linearly related to the sum of concentrations of active cyclic-nucleotide-gated channels and Ca(2+)-activated Cl(-) channels, and was expressed by 12 differential equations with 44 different parameters. The simulation revealed that the oscillations of current responses of ORNs were mainly due to the oscillatory properties of intracellular cAMP and Ca(2+) concentrations. The necessary reaction component for the oscillations in the transduction model was direct inhibition of adenylate cyclase activity by Ca(2+). High Ca(2+) efflux by the Na(+)-Ca(2+) exchanger and cAMP-phosphodiesterase activity were most influential on the oscillations. The simulation completely represented the characteristics of current responses of ORNs: odorant-intensity-dependent response, intensity-dependent latency and adaptation. Thus, the simulation is generally applicable to current and voltage responses of ORNs equipped with cAMP olfactory transduction pathway in other vertebrate species. The simulation programs for Macintosh (cAMP 9.2.7 and 9.2.8 for MacOS 8.1 or later) and cAMP JAVA applet versions based on cAMP 9.2.8 have been published on the world wide web (http://bio2.sci.hokudai.ac.jp/bio/chinou1/noriyo_home.html).

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Year:  2002        PMID: 12438204     DOI: 10.1093/chemse/27.9.789

Source DB:  PubMed          Journal:  Chem Senses        ISSN: 0379-864X            Impact factor:   3.160


  10 in total

1.  A dynamical feedback model for adaptation in the olfactory transduction pathway.

Authors:  Giovanna De Palo; Anna Boccaccio; Andrew Miri; Anna Menini; Claudio Altafini
Journal:  Biophys J       Date:  2012-06-19       Impact factor: 4.033

2.  Model of calcium oscillations due to negative feedback in olfactory cilia.

Authors:  J Reidl; P Borowski; A Sensse; J Starke; M Zapotocky; M Eiswirth
Journal:  Biophys J       Date:  2005-12-02       Impact factor: 4.033

3.  Computational model of the cAMP-mediated sensory response and calcium-dependent adaptation in vertebrate olfactory receptor neurons.

Authors:  Daniel P Dougherty; Geraldine A Wright; Alice C Yew
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-18       Impact factor: 11.205

4.  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

5.  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

6.  Ca2+-activated Cl- current ensures robust and reliable signal amplification in vertebrate olfactory receptor neurons.

Authors:  Johannes Reisert; Jürgen Reingruber
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-31       Impact factor: 11.205

7.  Mechanisms of regulation of olfactory transduction and adaptation in the olfactory cilium.

Authors:  Gabriela Antunes; Ana Maria Sebastião; Fabio Marques Simoes de Souza
Journal:  PLoS One       Date:  2014-08-21       Impact factor: 3.240

8.  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

9.  Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth.

Authors:  Marie Levakova; Lubomir Kostal; Christelle Monsempès; Philippe Lucas; Ryota Kobayashi
Journal:  J R Soc Interface       Date:  2019-08-07       Impact factor: 4.118

10.  A molecular odorant transduction model and the complexity of spatio-temporal encoding in the Drosophila antenna.

Authors:  Aurel A Lazar; Chung-Heng Yeh
Journal:  PLoS Comput Biol       Date:  2020-04-14       Impact factor: 4.475

  10 in total

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