Evidence map›Paper›PMID 36249484›Full record

ArticleFrontiers in computational neuroscience2022

Computational modeling of trans-synaptic nanocolumns, a modulator of synaptic transmission.

Xiaoting Li, Gabriel Hémond, Antoine G Godin, Nicolas Doyon

Open access · goldAbstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Differential nanoscale organization of excitatory synapses onto excitatory vs. inhibitory neurons.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

4 authors at 1 institution in 1 country.

Xiaoting LiDepartment of Mathematics and Statistics, Université Laval, Québec City, QC, Canada.
Gabriel HémondDepartment of Physics, Université Laval, Québec City, QC, Canada.
Antoine G GodinDepartment of Psychiatry and Neuroscience, Université Laval, Québec City, QC, Canada.
Nicolas DoyonDepartment of Mathematics and Statistics, Université Laval, Québec City, QC, Canada.
Université Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding synaptic transmission is of crucial importance in neuroscience. The spatial organization of receptors, vesicle release properties and neurotransmitter molecule diffusion can strongly influence features of synaptic currents. Newly discovered structures coined trans-synaptic nanocolumns were shown to align presynaptic vesicles release sites and postsynaptic receptors. However, how these structures, spanning a few tens of nanometers, shape synaptic signaling remains little understood. Given the difficulty to probe submicroscopic structures experimentally, computer modeling is a useful approach to investigate the possible functional impacts and role of nanocolumns. In our

Indexed as

glutamateMonte Carlo simulationneurotransmitter molecule diffusionreceptor kineticssynaptic currentsynaptic organizationtetrapartite synapsetrans-synaptic nanocolumn

Identifiers

PMID36249484
PMCPMC9554614
OpenAlexW4297548862

What OpenQuestion holds

Textmetadata
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.