Evidence map›Paper›PMID 21878995›Full record

ReviewThe EMBO journal2011

Mechanisms of dendritic mRNA transport and its role in synaptic tagging.

Michael Doyle, Michael A Kiebler

Open access · bronzeAbstract readReview
In one paragraph

Review in The EMBO journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed
9.4field-weighted citation impact, top 1% 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

163 citing papers in PubMed, 289 citations in OpenAlex.

  1. Synaptic Proteostasis in Health and Disease.Journal of neurochemistry · 2026
    Review
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  5. Gene regulation through exon junction complex modularity.Nature structural & molecular biology · 2025
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  17. Studying mFrontiers in molecular neuroscience · 2024
    Article
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  19. Review
  20. Article

103 more citing papers are in PubMed but not listed here.

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.

Michael DoyleDepartment of Neuronal Cell Biology, Center for Brain Research, Medical University of Vienna, Austria.
Michael A Kiebler
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The localization of RNAs critically contributes to many important cellular processes in an organism, such as the establishment of polarity, asymmetric division and migration during development. Moreover, in the central nervous system, the local translation of mRNAs is thought to induce plastic changes that occur at synapses triggered by learning and memory. Here, we will critically review the physiological functions of well-established dendritically localized mRNAs and their associated factors, which together form ribonucleoprotein particles (RNPs). Second, we will discuss the life of a localized transcript from transcription in the nucleus to translation at the synapse and introduce the concept of the 'RNA signature' that is characteristic for each transcript. Finally, we present the 'sushi belt model' of how localized RNAs within neuronal RNPs may dynamically patrol multiple synapses rather than being anchored at a single synapse. This new model integrates our current understanding of synaptic function ranging from synaptic tagging and capture to functional and structural reorganization of the synapse upon learning and memory.

Indexed as

AnimalsCytoskeletonDendritesGene Expression RegulationHumansMemoryMiceProtein TransportRatsRibonucleoproteinsRNA-Binding ProteinsRNA, MessengerRNA TransportSignal TransductionSynapsesTranscription, GeneticRibonucleoproteinsRNA-Binding ProteinsRNA, Messenger

Identifiers

PMID21878995
PMCPMC3181491
OpenAlexW1959450586

What OpenQuestion holds

Textmetadata
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.