Literature DB >> 15269125

Dose-response relationships in an olfactory flux detector model revisited.

Karl-Ernst Kaissling1, Jean-Pierre Rospars.   

Abstract

A simple model of an odorant flux detector including odorant uptake, activation of odorant receptor molecules and enzymatic odorant deactivation can produce different types of static dose-response relationships. Depending on the binding characteristics of the odorant to the receptor molecule and to the deactivating enzyme, the receptor occupation by the odorant as related to the odorant uptake is quasi-hyperbolic, linear or, close to saturation, steeper than linear. In Rospars et al. (2003, Chem. Senses, 28: 509-522) a note contributed by both of us stated erroneously that an equation describing these relationships given previously (Kaissling, 1998, Chem. Senses, 23; 99-111; Kaissling, 2001, Chem. Senses, 26: 125-150) was incorrect. We show here that the difference in equations was due to a simplifying assumption in Rospars et al. (2003) about the deactivating enzyme, we summarize briefly the properties of the correct equation of Kaissling (1998, 2001) and we discuss the relation with the model studied in Rospars et al. (2003).

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Year:  2004        PMID: 15269125     DOI: 10.1093/chemse/bjh057

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


  7 in total

1.  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

2.  Transduction in Drosophila olfactory receptor neurons is invariant to air speed.

Authors:  Yi Zhou; Rachel I Wilson
Journal:  J Neurophysiol       Date:  2012-07-18       Impact factor: 2.714

3.  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

4.  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

5.  Efficient olfactory coding in the pheromone receptor neuron of a moth.

Authors:  Lubomir Kostal; Petr Lansky; Jean-Pierre Rospars
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

6.  Identification of differential expression genes associated with host selection and adaptation between two sibling insect species by transcriptional profile analysis.

Authors:  Haichao Li; Hao Zhang; Ruobing Guan; Xuexia Miao
Journal:  BMC Genomics       Date:  2013-08-28       Impact factor: 3.969

7.  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

  7 in total

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