Evidence map›Paper›PMID 33347479›Full record

ArticlePLoS computational biology2020

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

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

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 29 citations in OpenAlex.

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  14. A Novel and Functionally Diverse Class of Acetylcholine-Gated Ion Channels.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  15. Article
  16. Computational Inference of Synaptic Polarities in Neuronal Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Bánk G FenyvesDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.ORCID 0000-0003-2374-7513
Gábor S SzilágyiDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.ORCID 0000-0003-0205-5796
Zsolt VassyDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.ORCID 0000-0003-1370-0877
Csaba SőtiDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-4057-7678
Peter CsermelyDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-9234-0659
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ConnectomeGene ExpressionAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsNeuronsSynapsesCaenorhabditis elegans Proteins

Identifiers

PMID33347479
PMCPMC7785220
OpenAlexW3116436954

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.