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  • 标题:Competitive binding predicts nonlinear responses of olfactory receptors to complex mixtures
  • 本地全文:下载
  • 作者:Vijay Singh ; Nicolle R. Murphy ; Vijay Balasubramanian
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2019
  • 卷号:116
  • 期号:19
  • 页码:9598-9603
  • DOI:10.1073/pnas.1813230116
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:In color vision, the quantitative rules for mixing lights to make a target color are well understood. By contrast, the rules for mixing odorants to make a target odor remain elusive. A solution to this problem in vision relied on characterizing receptor responses to different wavelengths of light and subsequently relating these responses to perception. In olfaction, experimentally measuring receptor responses to a representative set of complex mixtures is intractable due to the vast number of possibilities. To meet this challenge, we develop a biophysical model that predicts mammalian receptor responses to complex mixtures using responses to single odorants. The dominant nonlinearity in our model is competitive binding (CB): Only one odorant molecule can attach to a receptor binding site at a time. This simple framework predicts receptor responses to mixtures of up to 12 monomolecular odorants to within 15% of experimental observations and provides a powerful method for leveraging limited experimental data. Simple extensions of our model describe phenomena such as synergy, overshadowing, and inhibition. We demonstrate that the presence of such interactions can be identified via systematic deviations from the competitive-binding model.
  • 关键词:olfaction ; sensory coding ; receptor biophysics ; olfactory receptor neurons ; odor mixtures
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