Evidence map›Paper›PMID 33259288›Full record

ArticleeLife2020

Cerebellar and vestibular nuclear synapses in the inferior olive have distinct release kinetics and neurotransmitters.

Josef Turecek, Wade G Regehr

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. A cerebellar population coding model for sensorimotor learning.bioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Review
  8. Article
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

2 authors at 1 institution in 1 country.

Josef TurecekDepartment of Neurobiology, Harvard Medical School, Boston, United States.ORCID 0000-0001-9843-1877
Wade G RegehrDepartment of Neurobiology, Harvard Medical School, Boston, United States.ORCID 0000-0002-3485-8094
Harvard University · US

Funding

Mechanisms and Functions of Synapses and CircuitsR35NS097284 · NINDS · HARVARD MEDICAL SCHOOL · PI REGEHR, WADE G · 2017 to 2024
$7.5M
NINDS NIH HHS R35 NS097284
6 · The paper itself

Abstract

The inferior olive (IO) is composed of electrically-coupled neurons that make climbing fiber synapses onto Purkinje cells. Neurons in different IO subnuclei are inhibited by synapses with wide ranging release kinetics. Inhibition can be exclusively synchronous, asynchronous, or a mixture of both. Whether the same boutons, neurons or sources provide these kinetically distinct types of inhibition was not known. We find that in mice the deep cerebellar nuclei (DCN) and vestibular nuclei (VN) are two major sources of inhibition to the IO that are specialized to provide inhibitory input with distinct kinetics. DCN to IO synapses lack fast synaptotagmin isoforms, release neurotransmitter asynchronously, and are exclusively GABAergic. VN to IO synapses contain fast synaptotagmin isoforms, release neurotransmitter synchronously, and are mediated by combined GABAergic and glycinergic transmission. These findings indicate that VN and DCN inhibitory inputs to the IO are suited to control different aspects of IO activity.

Indexed as

AnimalsCerebellumFemaleKineticsMaleMiceMice, Inbred C57BLNeural InhibitionNeuronsNeurotransmitter AgentsOlivary NucleusSynapsesSynaptotagminsVestibular NucleiNeurotransmitter AgentsSynaptotagminsdeep cerebellar nucleiGABAglycineinferior oliveinhibitionmouseneurosciencerelease kinetics

Identifiers

PMID33259288
PMCPMC7707816
OpenAlexW3107116985

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.