| Autor: |
Albert Lin, Shanshan Qin, Helena Casademunt, Min Wu, Wesley Hung, Greg Cain, Nicolas Z. Tan, Raymond Valenzuela, Leila Lesanpezeshki, Vivek Venkatachalam, Cengiz Pehlevan, Mei Zhen, Aravinthan D.T. Samuel |
| Rok vydání: |
2022 |
| Popis: |
Many animals perceive odorant molecules by collecting information from ensembles of olfactory neurons. Each neuron employs receptors that are tuned to recognize certain odorant molecules by chemical binding affinity. Olfactory systems are able, in principle, to detect and discriminate diverse odorants by using combinatorial coding strategies. Multineuronal imaging with high-throughput stimulus delivery allows comprehensive measurement of ensemble-level sensory representations. We have used microfluidics and multineuronal imaging to study ensemble-level olfactory representations at the sensory periphery of the nematode C. elegans. The collective activity of nematode chemosensory neurons reveals high-dimensional representations of olfactory information across a broad space of odorant molecules. We reveal diverse tuning properties and dose-response curves across chemosensory neurons and across odorants. We describe the unique contribution of each sensory neuron to an ensemble-level code for volatile odorants. We also show how natural stimuli, a set of nematode pheromones, are encoded by the sensory periphery. The integrated activity of the C. elegans chemosensory neurons contains sufficient information to robustly encode the intensity and identity of diverse chemical stimuli. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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