Evidence map›Paper›PMID 22884321›Full record

ReviewNeuron2012

MicroRNAs shape the neuronal landscape.

Elizabeth McNeill, David Van Vactor

Abstract readReview
In one paragraph

Review in Neuron, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 3 pooled it
–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

167 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  9. A brain-specific microRNA,Genes & development · 2026
    Article
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  12. Review
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  20. Five-minute exposure to a novel appetitive food substance is sufficient time for a microRNA-dependent long-term memory to form.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024
    Article

107 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.

Elizabeth McNeillDepartment of Cell Biology and Program in Neuroscience, Harvard Medical School, Boston, MA 02115, USA.
David Van Vactor

Funding

FUNDAMENTAL NEUROBIOLOGYT32NS007484 · NINDS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI REGEHR, WADE G · 2000 to 2014
$5.9M
Regulation of Synapse Morphogenesis in DrosophilaR01NS069695 · NINDS · HARVARD MEDICAL SCHOOL · PI VAN VACTOR, DAVID L. · 2010 to 2018
$3.3M
NINDS NIH HHS R01 NS069695NINDS NIH HHS T32 NS007484NINDS NIH HHS T32 NS007484-12
6 · The paper itself

Abstract

The nervous system equips us with capability to adapt to many conditions and circumstances. We rely on an armamentarium of intricately formed neural circuits for many of our adaptive strategies. However, this capability also depends on a well-conserved toolkit of different molecular mechanisms that offer not only compensatory responses to a changing world, but also provide plasticity to achieve changes in cellular state that underlie a broad range of processes from early developmental transitions to life-long memory. Among the molecular tools that mediate changes in cellular state, our understanding of posttranscriptional regulation of gene expression is expanding rapidly. Part of the "epigenetic landscape" that shapes the deployment and robust regulation of gene networks during the construction and the remodeling of the brain is the microRNA system controlling both levels and translation of messenger RNA. Here we consider recent advances in the study of microRNA-mediated regulation of synaptic form and function.

Indexed as

AnimalsBrainGene Expression RegulationHumansMicroRNAsNeuronal PlasticityNeuronsMicroRNAs

Identifiers

PMID22884321
PMCPMC3441179

What OpenQuestion holds

Textmetadata
LicenceTDM
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.