Evidence map›Paper›PMID 36687523›Full record

ArticleFrontiers in cellular neuroscience2022

Neurotransmitter content heterogeneity within an interneuron class shapes inhibitory transmission at a central synapse.

Dimitri Dumontier, Caroline Mailhes-Hamon, Stéphane Supplisson, Stéphane Dieudonné

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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 3 institutions in 1 country.

Dimitri DumontierInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), École Normale Supérieure, Université PSL, CNRS, INSERM, Paris, France.
Caroline Mailhes-HamonInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), École Normale Supérieure, Université PSL, CNRS, INSERM, Paris, France.
Stéphane SupplissonInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), École Normale Supérieure, Université PSL, CNRS, INSERM, Paris, France.
Stéphane DieudonnéInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), École Normale Supérieure, Université PSL, CNRS, INSERM, Paris, France.
École Normale Supérieure - PSL · FRCentre National de la Recherche Scientifique · FRInstitut de Biologie de l'École Normale Supérieure · FR

Funding

EPA EP-C-16-014
6 · The paper itself

Abstract

Neurotransmitter content is deemed the most basic defining criterion for neuronal classes, contrasting with the intercellular heterogeneity of many other molecular and functional features. Here we show, in the adult mouse brain, that neurotransmitter content variegation within a neuronal class is a component of its functional heterogeneity. Golgi cells (GoCs), the well-defined class of cerebellar interneurons inhibiting granule cells (GrCs), contain cytosolic glycine, accumulated by the neuronal transporter GlyT2, and GABA in various proportions. By performing acute manipulations of cytosolic GABA and glycine supply, we find that competition of glycine with GABA reduces the charge of IPSC evoked in GrCs and, more specifically, the amplitude of a slow component of the IPSC decay. We then pair GrCs recordings with optogenetic stimulations of single GoCs, which preserve the intracellular transmitter mixed content. We show that the strength and decay kinetics of GrCs IPSCs, which are entirely mediated by GABA

Indexed as

cerebellumco-transmissiongolgi cellsgranule cellsinhibition

Identifiers

PMID36687523
PMCPMC9846633
OpenAlexW4313585030

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.