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  1. AU="Szilágyi, Gábor S"
  2. AU=Buzski Gyrgy
  3. AU="Stucci, Luigia Stefania"
  4. AU="Murakami, Yuki"
  5. AU="Nicolini, Franck"
  6. AU=Lee P. W.
  7. AU="Wang, Yongxiang"
  8. AU="Schwarz, Dieter"
  9. AU="Wolber, Gerhard"
  10. AU="Akter, Shammi"
  11. AU="Kasten, Kristin"
  12. AU="Shao, Ada"
  13. AU=Koene Saskia
  14. AU="Flis, S"
  15. AU="Perez, Alberto"
  16. AU="Ma, Min"
  17. AU=Jongbloet Piet Hein
  18. AU="April, C Roslani"
  19. AU=Birdwell Christine E.
  20. AU=Arruda Glair Alonso
  21. AU="Cristina Battaglia"
  22. AU="Konrad, Susanne"
  23. AU="Nourhavesh, Nina"
  24. AU="Wang, Elena"
  25. AU=Richardson Kathryn
  26. AU="Françon, Anaïs"
  27. AU="Ikuta, Kazuyoshi"
  28. AU="Marton Olbei"
  29. AU="Hazzard, Brittany"
  30. AU="Mogas, Andrea"
  31. AU="Liu, Chumin"
  32. AU="Meurs, Maaike"

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  1. Artikel ; Online: Synaptic polarity and sign-balance prediction using gene expression data in the Caenorhabditis elegans chemical synapse neuronal connectome network.

    Fenyves, Bánk G / Szilágyi, Gábor S / Vassy, Zsolt / Sőti, Csaba / Csermely, Peter

    PLoS computational biology

    2020  Band 16, Heft 12, Seite(n) e1007974

    Abstract: Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse network of Caenorhabditis elegans is a well-reconstructed directed network, but the signs of its connections are ...

    Abstract Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse network of Caenorhabditis elegans is a well-reconstructed directed network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the ionotropic chemical synapse connectome of C. elegans (3,638 connections and 20,589 synapses total), incorporating available presynaptic neurotransmitter and postsynaptic receptor gene expression data for three major neurotransmitter systems. We made predictions for more than two-thirds of these chemical synapses and observed an excitatory-inhibitory (E:I) ratio close to 4:1 which was found similar to that observed in many real-world networks. Our open source tool (http://EleganSign.linkgroup.hu) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.
    Mesh-Begriff(e) Animals ; Caenorhabditis elegans/genetics ; Caenorhabditis elegans/physiology ; Caenorhabditis elegans Proteins/genetics ; Caenorhabditis elegans Proteins/metabolism ; Connectome ; Gene Expression ; Neurons/metabolism ; Neurons/physiology ; Synapses/metabolism ; Synapses/physiology
    Chemische Substanzen Caenorhabditis elegans Proteins
    Sprache Englisch
    Erscheinungsdatum 2020-12-21
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1007974
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Buch ; Online: Synaptic polarity and sign-balance prediction using gene expression data in the Caenorhabditis elegans chemical synapse neuronal connectome network

    Fenyves, Bank G. / Szilagyi, Gabor S. / Vassy, Zsolt / Soti, Csaba / Csermely, Peter

    2021  

    Abstract: Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse network of Caenorhabditis elegans is a well-reconstructed directed network, but the signs of its connections are ...

    Abstract Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse network of Caenorhabditis elegans is a well-reconstructed directed network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the ionotropic chemical synapse connectome of C. elegans (3,638 connections and 20,589 synapses total), incorporating available presynaptic neurotransmitter and postsynaptic receptor gene expression data for three major neurotransmitter systems. We made predictions for more than two-thirds of these chemical synapses and observed an excitatory-inhibitory (E:I) ratio close to 4:1 which was found similar to that observed in many real-world networks. Our open source tool (http://EleganSign.linkgroup.hu) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.

    Comment: 19 pages, 5 figues
    Schlagwörter Quantitative Biology - Molecular Networks ; Quantitative Biology - Genomics ; Quantitative Biology - Neurons and Cognition
    Thema/Rubrik (Code) 571
    Erscheinungsdatum 2021-01-13
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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