May 22, 2020

Synaptic polarity and sign-balance prediction using gene expression data in the Caenorhabditis elegans chemical synapse neuronal connectome network

BioRxiv : the Preprint Server for Biology
B. G. FenyvesPeter Csermely

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 C. elegans connectome, incorporating presynaptic neurotransmitter and postsynaptic receptor gene expression data (3,638 connections and 20,589 synapses total). We made successful predictions for more than two-thirds of all chemical synapses and determined a ratio of excitatory-inhibitory (E:I) interneuronal ionotropic chemical connections 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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Mentioned in this Paper

Nervous System Structure
Signs and Symptoms
Presynaptic Membrane
Chemicals
Gene Expression
Synapses
Interneurons
Connectome
Cell Polarity
Theoretical Study

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