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