Recovering a Chemotopic Feature Space from a Group of Fruit Fly Antenna Chemosensors

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2018
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2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) : Proceedings. Piscataway, NJ: IEEE, 2018, pp. 163-169. eISSN 2471-7819. ISBN 978-1-5386-6217-5. Available under: doi: 10.1109/BIBE.2018.00039
Zusammenfassung

The ensemble of odorant receptors on the antenna of the fruit fly Drosophila melanogaster acts as an encoder for chemical molecules. Chemically similar odorants elicit activity in similar subsets of the receptors, spanning a so-called chemotopic feature space that enables chemical similarity search. A compound signal of receptor activity can be read out by calcium imaging of the antenna, yet without revealing corresponding receptors on different antennae. Employing Canonical Correlation Analysis (CCA) for multiple sets, we show that a consensus feature space can nevertheless be recovered from a group of variable antenna sensors that all respond to a common sequence of odorants. In the chemotopic consensus feature space, properties of novel odorants can be inferred, demonstrating how fruit fly antenna chemosensors may be employed as an alternative to electronic noses.

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570 Biowissenschaften, Biologie
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2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE), 29. Okt. 2018 - 31. Okt. 2018, Taichung, Taiwan
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ISO 690STRAUCH, Martin, Latha MUKUNDA, Alja LÜDKE, C. Giovanni GALIZIA, Dorit MERHOF, 2018. Recovering a Chemotopic Feature Space from a Group of Fruit Fly Antenna Chemosensors. 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE). Taichung, Taiwan, 29. Okt. 2018 - 31. Okt. 2018. In: 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) : Proceedings. Piscataway, NJ: IEEE, 2018, pp. 163-169. eISSN 2471-7819. ISBN 978-1-5386-6217-5. Available under: doi: 10.1109/BIBE.2018.00039
BibTex
@inproceedings{Strauch2018-10Recov-45513,
  year={2018},
  doi={10.1109/BIBE.2018.00039},
  title={Recovering a Chemotopic Feature Space from a Group of Fruit Fly Antenna Chemosensors},
  isbn={978-1-5386-6217-5},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) : Proceedings},
  pages={163--169},
  author={Strauch, Martin and Mukunda, Latha and Lüdke, Alja and Galizia, C. Giovanni and Merhof, Dorit}
}
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    <dcterms:abstract xml:lang="eng">The ensemble of odorant receptors on the antenna of the fruit fly Drosophila melanogaster acts as an encoder for chemical molecules. Chemically similar odorants elicit activity in similar subsets of the receptors, spanning a so-called chemotopic feature space that enables chemical similarity search. A compound signal of receptor activity can be read out by calcium imaging of the antenna, yet without revealing corresponding receptors on different antennae. Employing Canonical Correlation Analysis (CCA) for multiple sets, we show that a consensus feature space can nevertheless be recovered from a group of variable antenna sensors that all respond to a common sequence of odorants. In the chemotopic consensus feature space, properties of novel odorants can be inferred, demonstrating how fruit fly antenna chemosensors may be employed as an alternative to electronic noses.</dcterms:abstract>
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