Evidence map›Paper›PMID 38321143›Full record

ArticleScientific reports2024

An essential role for the RNA helicase DDX6 in NMDA receptor-dependent gene silencing and dendritic spine shrinkage.

Fathima M Perooli, Kevin A Wilkinson, Kate Pring, Jonathan G Hanley

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Fathima M PerooliSchool of Biochemistry, University of Bristol, University Walk, Bristol, BS8 1TD, UK.
Kevin A WilkinsonSchool of Biochemistry, University of Bristol, University Walk, Bristol, BS8 1TD, UK.
Kate PringSchool of Biochemistry, University of Bristol, University Walk, Bristol, BS8 1TD, UK.
Jonathan G HanleySchool of Biochemistry, University of Bristol, University Walk, Bristol, BS8 1TD, UK. jon.hanley@bristol.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/R006938/1
6 · The paper itself

Abstract

MicroRNAs (miRNAs) repress translation of target mRNAs by associating with Argonaute (Ago) proteins in the RNA-induced silencing complex (RISC) to modulate protein expression. Specific miRNAs are required for NMDA receptor (NMDAR)-dependent synaptic plasticity by repressing the translation of proteins involved in dendritic spine morphogenesis. Rapid NMDAR-dependent silencing of Limk1 is essential for spine shrinkage and requires Ago2 phosphorylation at S387. Not all gene silencing events are modulated by S387 phosphorylation, and the mechanisms that govern the selection of specific mRNAs for silencing downstream of S387 phosphorylation are unknown. Here, we show that NMDAR-dependent S387 phosphorylation causes a rapid and transient increase in the association of Ago2 with Limk1, but not Apt1 mRNA. The specific increase in Limk1 mRNA binding to Ago2 requires recruitment of the helicase DDX6 to RISC. Furthermore, we show that DDX6 is required for NMDAR-dependent silencing of Limk1 via miR-134, but not Apt1 via miR-138, and is essential for NMDAR-dependent spine shrinkage. This work defines a novel mechanism for the rapid transduction of NMDAR stimulation into miRNA-mediated translational repression of specific genes to control dendritic spine morphology.

Indexed as

MicroRNAsReceptors, N-Methyl-D-AspartateArgonaute ProteinsDendritic SpinesGene SilencingRNA HelicasesRNA-Induced Silencing ComplexRNA, MessengerArgonaute ProteinsMicroRNAsReceptors, N-Methyl-D-AspartateRNA HelicasesRNA-Induced Silencing ComplexRNA, Messenger

Identifiers

PMID38321143
PMCPMC10847504

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Registered trials

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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.