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

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2018
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen 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
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.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Konferenz
2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE), 29. Okt. 2018 - 31. Okt. 2018, Taichung, Taiwan
Rezension
undefined / . - undefined, undefined
Zitieren
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}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45513">
    <dc:creator>Mukunda, Latha</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Strauch, Martin</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/45513"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-03-18T15:47:42Z</dc:date>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Lüdke, Alja</dc:creator>
    <dcterms:title>Recovering a Chemotopic Feature Space from a Group of Fruit Fly Antenna Chemosensors</dcterms:title>
    <dc:contributor>Galizia, C. Giovanni</dc:contributor>
    <dc:creator>Galizia, C. Giovanni</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-03-18T15:47:42Z</dcterms:available>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Lüdke, Alja</dc:contributor>
    <dcterms:issued>2018-10</dcterms:issued>
    <dc:creator>Merhof, Dorit</dc:creator>
    <dc:language>eng</dc:language>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Merhof, Dorit</dc:contributor>
    <dc:contributor>Mukunda, Latha</dc:contributor>
    <dc:creator>Strauch, Martin</dc:creator>
    <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>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen